https://devcare.netlify.app/static/js/main.ed028dcd.js

1/*! For license information please see main.ed028dcd.js.LICENSE.txt */
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this.registeredVariables)this.registeredVariables[e].dispose()}}]),e}(),Yo=function(){function e(t){ft(this,e),this.ENV=t,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new Xo}return vt(e,[{key:"ready",value:function(){var e=Fe(Pe().mark((function e(){var t,n,r;return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null==this.pendingBackendInit){e.next=2;break}return e.abrupt("return",this.pendingBackendInit.then((function(){})));case 2:if(null==this.backendInstance){e.next=4;break}return e.abrupt("return");case 4:t=this.getSortedBackends(),n=0;case 6:if(!(n<t.length)){e.next=18;break}return r=t[n],e.next=10,this.initializeBackend(r).success;case 10:if(!e.sent){e.next=15;break}return e.next=14,this.setBackend(r);case 14:return e.abrupt("return");case 15:n++,e.next=6;break;case 18:throw new Error("Could not initialize any backends, all backend initializations failed.");case 19:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}()},{key:"backend",get:function(){if(null!=this.pendingBackendInit)throw new Error("Backend '".concat(this.backendName,"' has not yet been initialized. Make ")+"sure to await tf.ready() or await tf.setBackend() before calling other methods");if(null==this.backendInstance){var e=this.initializeBackendsAndReturnBest(),t=e.name;if(e.asyncInit)throw new Error("The highest priority backend '".concat(t,"' has not yet been ")+"initialized. Make sure to await tf.ready() or await tf.setBackend() before calling other methods");this.setBackend(t)}return this.backendInstance}},{key:"backendNames",value:function(){return Object.keys(this.registryFactory)}},{key:"findBackend",value:function(e){if(!(e in this.registry)){if(!(e in this.registryFactory))return null;if(this.initializeBackend(e).asyncInit)return null}return this.registry[e]}},{key:"findBackendFactory",value:function(e){return e in this.registryFactory?this.registryFactory[e].factory:null}},{key:"registerBackend",value:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:1;return e in this.registryFactory?(Ei("".concat(e," backend was already registered. 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e=this;Oi(this.backendName).forEach((function(t){null!=t.setupFunc&&t.setupFunc(e.backendInstance)}))}},{key:"disposeRegisteredKernels",value:function(e){var t=this;Oi(e).forEach((function(n){null!=n.disposeFunc&&n.disposeFunc(t.registry[e])}))}},{key:"initializeBackend",value:function(e){var t=this,n=this.registryFactory[e];if(null==n)throw new Error("Cannot initialize backend ".concat(e,", no registration found."));try{var r=n.factory();if(!r||r instanceof gt||"function"!==typeof r.then)return this.registry[e]=r,{success:!0,asyncInit:!1};var a=++this.pendingBackendInitId,i=r.then((function(n){return!(a<t.pendingBackendInitId)&&(t.registry[e]=n,t.pendingBackendInit=null,!0)})).catch((function(n){return a<t.pendingBackendInitId||(t.pendingBackendInit=null,Ei("Initialization of backend ".concat(e," failed")),Ei(n.stack||n.message)),!1}));return this.pendingBackendInit=i,{success:i,asyncInit:!0}}catch(o){return Ei("Initialization of backend ".concat(e," 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n=e[t],r=this.initializeBackend(n),a=r.success,i=r.asyncInit;if(i||a)return{name:n,asyncInit:i}}throw new Error("Could not initialize any backends, all backend initializations failed.")}},{key:"moveData",value:function(e,t){var n=this.state.tensorInfo.get(t),r=n.backend,a=this.readSync(t),i=r.refCount(t);r.disposeData(t,!0),n.backend=e,e.move(t,a,n.shape,n.dtype,i),this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack[this.state.numDataMovesStack.length-1]++}},{key:"tidy",value:function(e,t){var n,r=this,a=null;if(null==t){if("function"!==typeof e)throw new Error("Please provide a function to tidy()");t=e}else{if("string"!==typeof e&&!(e instanceof String))throw new Error("When calling with two arguments, the first argument to tidy() must be a string");if("function"!==typeof t)throw new Error("When calling with two arguments, the 2nd argument to tidy() must be a function");a=e}return this.scopedRun((function(){return r.startScope(a)}),(function(){return r.endScope(n)}),(function(){return(n=t())instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),n}))}},{key:"scopedRun",value:function(e,t,n){e();try{var r=n();return t(),r}catch(a){throw t(),a}}},{key:"nextTensorId",value:function(){return e.nextTensorId++}},{key:"nextVariableId",value:function(){return e.nextVariableId++}},{key:"clone",value:function(e){var t=$o.runKernel(Lr,{x:e}),n={x:e};return this.addTapeNode(this.state.activeScope.name,n,[t],(function(e){return{x:function(){var t={x:e},n={dtype:"float32"};return $o.runKernel(qn,t,n)}}}),[],{}),t}},{key:"runKernel",value:function(e,t,n){if(null==this.backendName&&this.backend,!(null!=Di(e,this.backendName)))throw new Error("Kernel '".concat(e,"' not registered for backend '").concat(this.backendName,"'"));return this.runKernelFunc({kernelName:e,inputs:t,attrs:n})}},{key:"shouldCheckForMemLeaks",value:function(){return this.ENV.getBool("IS_TEST")}},{key:"checkKernelForMemLeak",value:function(e,t,n){var 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t=Array.isArray(r)?r:[r];a.shouldCheckForMemLeaks()&&a.checkKernelForMemLeak(l,e,t);var n=t.map((function(e){if(null!=e.rank)return e;var t=e.dataId,n=e.shape,r=e.dtype;return a.makeTensorFromDataId(t,n,r)}));if(o){var s=a.getTensorsForGradient(l,h,n);i=a.saveTensorsForBackwardMode(s)}return n}}else{var p=e.forwardFunc,v=function(e){o&&(i=e.map((function(e){return a.keep(a.clone(e))})))};n=function(){var e=a.backend.numDataIds();r=a.tidy((function(){return p(a.backend,v)}));var t=Array.isArray(r)?r:[r];return a.shouldCheckForMemLeaks()&&a.checkKernelForMemLeak(c,e,t),t}}var m,g=e.inputs,y=e.attrs,b=Ko(e)?null:e.backwardsFunc;return this.scopedRun((function(){return a.state.kernelDepth++}),(function(){return a.state.kernelDepth--}),(function(){a.ENV.getBool("DEBUG")||a.state.profiling?(m=a.profiler.profileKernel(c,g,(function(){return 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"));if(e.length<r+(n.rank-a))throw new Error(i+" Output shape length < ".concat(r+(n.rank-a)));if(n.rank!==a+e.length-r)throw new Error(i+" update.rank != ".concat(a+e.length-r));for(var o=0;o<a;++o)if(n.shape[o]!==t.shape[o])throw new Error(i+" updates.shape[".concat(o,"] (").concat(n.shape[o],") != indices.shape[").concat(o,"] (").concat(t.shape[o],")."));for(var s=0;s<n.rank-a;++s)if(n.shape[s+a]!==e[s+r])throw new Error(i+" updates.shape[".concat(s+a,"] (").concat(n.shape[s+a],") != shape[").concat(s+a,"] (").concat(e[s+a],")"))}function uc(e,t,n){if(t.rank<1)throw new Error("tf.scatterND() expects the indices to be rank 1 or higher,"+" but the rank was ".concat(t.rank,"."));if(e.rank<1)throw new Error("tf.scatterND() expects the updates to be rank 1 or higher,"+" but the rank was ".concat(e.rank,"."));if("int32"!==t.dtype)throw new Error("The dtype of 'indices' should be int32, but got dtype: ".concat(t.dtype));if(n.length<1)throw new Error("Output rank must be greater or equal to 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would overflow input.shape[").concat(a,"] (").concat(e.shape[a],")")}))},i=0;i<r;++i)a(i)}function hc(e){for(var t=[],n=0;e>0;)1&e&&t.push(n),e/=2,n++;return t}function dc(e,t,n){for(var r=[],a=0;a<e.length;a++)r[a]=Math.ceil((t[a]-e[a])/n[a]);return r}function fc(e,t,n,r){for(var a=dt(e),i=a.length;i<r.length;i++)a.push(1);for(var o=0;o<n;o++)0===o?a[t]=1:(a.splice(t,0,1),a.pop());return a}function pc(e,t,n){return n<=e?n:n-(t-1)}function vc(e,t){for(var n=[],r=0;r<e;r++)n.push(t+r);return n}function mc(e,t,n,r,a,i,o,s,u){var c=e.length,l=new Array(c),h=new Array(c),d=new Array(c);if(t.length&&n>0){var f=t[0],p=n+1;l=gc(o,f,p,r,e),h=yc(s,f,p,a,e),d=fc(i,f,p,e)}else for(var v=0;v<c;v++)l[v]=xc(o,r,i,e,v,u),h[v]=kc(s,a,i,e,v,u),d[v]=bc(i,v,u);return{begin:l,end:h,strides:d}}function gc(e,t,n,r,a){for(var i=dt(a),o=vc(n,t),s=0;s<i.length;s++)if(o.indexOf(s)>-1)i[s]=0;else{var u=pc(t,n,s),c=r[u];e&1<<u&&(c=0),i[s]=c}return i}function yc(e,t,n,r,a){for(var i=dt(a),o=vc(n,t),s=0;s<i.length;s++)if(o.indexOf(s)>-1)i[s]=Number.MAX_SAFE_INTEGER;else{var u=pc(t,n,s),c=r[u];e&1<<u&&(c=Number.MAX_SAFE_INTEGER),i[s]=c}for(var l=0;l<i.length;l++){var h=a[l];i[l]<0&&(i[l]+=h),i[l]=kt(0,i[l],a[l])}return i}function bc(e,t,n){var r=e[t];return(n&1<<t||null==r)&&(r=1),r}function xc(e,t,n,r,a,i){var o=t[a],s=n[a]||1;(e&1<<a||i&1<<a||null==o)&&(o=s>0?Number.MIN_SAFE_INTEGER:Number.MAX_SAFE_INTEGER);var u=r[a];return o<0&&(o+=u),o=kt(0,o,u-1)}function kc(e,t,n,r,a,i){var o=t[a],s=n[a]||1;(e&1<<a||i&1<<a||null==o)&&(o=s>0?Number.MAX_SAFE_INTEGER:Number.MIN_SAFE_INTEGER);var u=r[a];return o<0&&(o+=u),o=s>0?kt(0,o,u):kt(-1,o,u-1)}function wc(e,t,n){for(var r=n.length,a=0;a<n.length;a++)if(n[a]>1){r=a;break}for(var i=r+1;i<n.length;i++)if(t[i]>0||n[i]!==e[i])return!1;return!0}function Sc(e,t){for(var n=e.length>0?e[e.length-1]:1,r=0;r<e.length-1;r++)n+=e[r]*t[r];return n}function Nc(e,t,n){var r,a,i=e.shape.length;return(r="number"===typeof t?[t].concat(dt(new Array(i-1).fill(0))):t.length<i?t.concat(new Array(i-t.length).fill(0)):t.slice()).forEach((function(e){Ct(-1!==e,(function(){return"slice() does not support negative begin indexing."}))})),a=(a=null==n?new Array(i).fill(-1):"number"===typeof n?[n].concat(dt(new Array(i-1).fill(-1))):n.length<i?n.concat(new Array(i-n.length).fill(-1)):n).map((function(t,n){return t>=0?t:(Ct(-1===t,(function(){return"Negative size values should be exactly -1 but got "+"".concat(t," for the slice() size at index ").concat(n,".")})),e.shape[n]-r[n])})),[r,a]}function Ic(e,t,n,r,a,i,o,s,u){var c;if(null==r?(c=new Array(t.length)).fill(1):c=r,null!=o&&0!==(o&o-1))throw new Error("Multiple ellipses in slice is not allowed.");for(var l=!1,h={dims:c.length,numAddAxisAfterEllipsis:0,begin:t.slice(),end:n.slice(),strides:c.slice(),beginMask:a,endMask:i,ellipsisMask:o,newAxisMask:s,shrinkAxisMask:u},d=0;d<h.dims;d++)l&&0!==(1<<d&s)&&h.numAddAxisAfterEllipsis++,1<<d&o&&(l=!0);l||(h.ellipsisMask|=1<<h.dims,h.dims++);var f={dims:e.length,beginMask:0,endMask:0,beginValid:!1,endValid:!1};!function(e,t){t.beginMask=0,t.endMask=0,t.shrinkAxisMask=0;var n=0;t.beginValid=null!=e.begin,t.endValid=null!=e.end,t.begin=new Array(t.dims),t.end=new Array(t.dims),t.strides=new Array(t.dims),t.finalShapeGatherIndices=[],t.finalShapeGatherIndicesSparse=[],t.inputShapeGatherIndicesSparse=new Array(t.dims);for(var r=0;r<e.dims;r++)if(1<<r&e.ellipsisMask)for(var a=Math.min(t.dims-(e.dims-r)+1+e.numAddAxisAfterEllipsis,t.dims);n<a;n++)t.begin[n]=0,t.end[n]=0,t.strides[n]=1,t.beginMask|=1<<n,t.endMask|=1<<n,t.finalShapeGatherIndices.push(n),t.finalShapeGatherIndicesSparse.push(-1),t.inputShapeGatherIndicesSparse[n]=r;else if(1<<r&e.newAxisMask)t.finalShapeGatherIndices.push(-2),t.finalShapeGatherIndicesSparse.push(-1);else{if(n===t.begin.length)throw Error("Index out of range using input dim ".concat(n,"; input ")+"has only ".concat(t.dims," dims, ").concat(t.begin.length,"."));null!=e.begin&&(t.begin[n]=e.begin[r]),null!=e.end&&(t.end[n]=e.end[r]),t.strides[n]=e.strides[r],e.beginMask&1<<r&&(t.beginMask|=1<<n),e.endMask&1<<r&&(t.endMask|=1<<n),e.shrinkAxisMask&1<<r?(t.finalShapeGatherIndices.push(-1),t.finalShapeGatherIndicesSparse.push(-1),t.shrinkAxisMask|=1<<n):(t.finalShapeGatherIndices.push(n),t.finalShapeGatherIndicesSparse.push(r)),t.inputShapeGatherIndicesSparse[n]=r,n++}}(h,f);for(var p=!0,v=!0,m=!0,g=[],y=[],b=0;b<e.length;++b){if(0===f.strides[b])throw Error("strides[".concat(b,"] must be non-zero"));var x=!!(f.shrinkAxisMask&1<<b),k=e[b];if(-1!==k){var w=[f.beginMask&1<<b,f.endMask&1<<b],S=[f.strides[b]>0?0:-1,f.strides[b]>0?k:k-1];if(x&&f.strides[b]<=0)throw Error("only stride 1 allowed on non-range indexing.");m=m&&1===f.strides[b];var N=!!(f.beginMask&1<<b&&f.endMask&1<<b);if(f.beginValid&&f.endValid){if(x){var I=f.begin[b]<0?k+f.begin[b]:f.begin[b];if(f.begin[b]=I,f.end[b]=f.begin[b]+1,I<0||I>=k)throw Error("slice index ".concat(f.begin[b]," of dimension ").concat(b," out of bounds."))}else f.begin[b]=Tc(f.begin[b],0,f.strides[b],k,w,S),f.end[b]=Tc(f.end[b],1,f.strides[b],k,w,S);var T=1===f.strides[b]&&0===f.begin[b]&&f.end[b]===k;p=p&&T,v=v&&(0===b&&1===f.strides[b]||T)}else p=p&&1===f.strides[b]&&N,v=v&&(0===b&&1===f.strides[b]||N);var C=void 0,E=!1;if(f.beginValid&&f.endValid?(C=f.end[b]-f.begin[b],E=!0):x?(C=1,E=!0):N&&k>=0&&(C=f.strides[b]<0?-k:k,E=!0),E){var _=void 0;_=0===C||C<0!==f.strides[b]<0?0:Math.trunc(C/f.strides[b])+(C%f.strides[b]!==0?1:0),g.push(_)}else g.push(-1)}else g.push(x?1:-1)}for(var A=0;A<f.finalShapeGatherIndices.length;++A){var R=f.finalShapeGatherIndices[A];R>=0?y.push(g[R]):-2===R&&y.push(1)}var D=y.filter((function(e,t){return-2!==f.finalShapeGatherIndices[t]}));return{finalShapeSparse:D,finalShape:y,isIdentity:p,sliceDim0:v,isSimpleSlice:m,begin:f.begin,end:f.end,strides:f.strides}}

2var hl=hs({div_:function(e,t){var n=us(e,"a","div"),r=us(t,"b","div"),a=G(jo(n,r),2);if(n=a[0],r=a[1],"int32"===n.dtype&&"int32"===r.dtype)return ll(n,r);var i={a:n,b:r};return $o.runKernel(gr,i,{})}});var dl=hs({mul_:function(e,t){var n=us(e,"a","mul"),r=us(t,"b","mul"),a=G(jo(n,r),2),i={a:n=a[0],b:r=a[1]};return $o.runKernel(fa,i)}});var fl=hs({sqrt_:function(e){var t={x:us(e,"x","sqrt","float32")};return $o.runKernel(Ya,t)}});var pl=hs({square_:function(e){var t=us(e,"x","square");return $o.runKernel("Square",{x:t},{})}});var vl=hs({zerosLike_:function(e){var t={x:us(e,"x","zerosLike")};return $o.runKernel(ki,t)}});function ml(e){return Ct(tn(e),(function(){return"The f passed in grad(f) must be a function"})),function(t,n){var r=us(t,"x","tf.grad","string_or_numeric"),a=null!=n?us(n,"dy","tf.grad"):null;return $o.tidy((function(){var t=$o.gradients((function(){return e(r)}),[r],a),n=t.value,i=t.grads;return null!=a&&Et(n.shape,a.shape,"The shape of dy passed in grad(f)(x, dy) must match the shape returned by f(x)"),wl(i),i[0]}))}}function gl(e){return Ct(tn(e),(function(){return"The f passed in grads(f) must be a function"})),function(t,n){Ct(Array.isArray(t),(function(){return"The args passed in grads(f)(args) must be an array of `Tensor`s or `TensorLike`s"}));var r=cs(t,"args","tf.grads","string_or_numeric"),a=null!=n?us(n,"dy","tf.grads"):null;return $o.tidy((function(){var t=$o.gradients((function(){return e.apply(void 0,dt(r))}),r,a),n=t.value,i=t.grads;return null!=a&&Et(n.shape,a.shape,"The shape of dy passed in grads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),wl(i),i}))}}function yl(e){return Ct(tn(e),(function(){return"The f passed in valueAndGrad(f) must be a function"})),function(t,n){Ct(t instanceof Ro,(function(){return"The x passed in valueAndGrad(f)(x) must be a tensor"})),Ct(null==n||n instanceof Ro,(function(){return"The dy passed in valueAndGrad(f)(x, dy) must be a tensor"}));var r=$o.gradients((function(){return e(t)}),[t],n),a=r.grads,i=r.value;return wl(a),{grad:a[0],value:i}}}function bl(e){return Ct(tn(e),(function(){return"The f passed in valueAndGrads(f) must be a function"})),function(t,n){Ct(Array.isArray(t)&&t.every((function(e){return e instanceof Ro})),(function(){return"The args passed in valueAndGrads(f)(args) must be array of tensors"})),Ct(null==n||n instanceof Ro,(function(){return"The dy passed in valueAndGrads(f)(args, dy) must be a tensor"}));var r=$o.gradients((function(){return e.apply(void 0,dt(t))}),t,n);return null!=n&&Et(r.value.shape,n.shape,"The shape of dy passed in valueAndGrads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),wl(r.grads),r}}function xl(e,t){Ct(tn(e),(function(){return"The f passed in variableGrads(f) must be a function"})),Ct(null==t||Array.isArray(t)&&t.every((function(e){return e instanceof zo})),(function(){return"The varList passed in variableGrads(f, varList) must be an array of variables"}));var n=null!=t;if(!n)for(var r in t=[],$o.registeredVariables)t.push($o.registeredVariables[r]);var a=n?t.filter((function(e){return!e.trainable})):null,i=t.length;t=t.filter((function(e){return e.trainable})),Ct(t.length>0,(function(){return"variableGrads() expects at least one of the input variables to "+"be trainable, but none of the ".concat(i," variables is ")+"trainable."}));var o=$o.gradients(e,t,null,!0),s=o.value,u=o.grads;Ct(u.some((function(e){return null!=e})),(function(){return"Cannot find a connection between any variable and the result of the loss function y=f(x). Please make sure the operations that use variables are inside the function f passed to minimize()."})),Ct(0===s.rank,(function(){return"The f passed in variableGrads(f) must return a scalar, but it "+"returned a rank-".concat(s.rank," tensor")}));var c={};return t.forEach((function(e,t){null!=u[t]&&(c[e.name]=u[t])})),null!=a&&a.forEach((function(e){return c[e.name]=null})),{value:s,grads:c}}function kl(e){return $o.customGrad(e)}function wl(e){if(e.filter((function(e){return null==e})).length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that\n    the f you passed encloses all operations that lead from x to y.")}function Sl(e,t){if((Xt(e)&&"string"!==t||Array.isArray(e))&&"complex64"!==t)throw new Error("Error creating a new Scalar: value must be a primitive (number|boolean|string)");if("string"===t&&Xt(e)&&!(e instanceof Uint8Array))throw new Error("When making a scalar from encoded string, the value must be `Uint8Array`.");return fs(e,[],[],t)}var Nl=function(e){mo(n,e);var t=wo(n);function n(){return ft(this,n),t.apply(this,arguments)}return vt(n,[{key:"minimize",value:function(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=arguments.length>2?arguments[2]:void 0,r=this.computeGradients(e,n),a=r.value,i=r.grads;if(null!=n){var o=n.map((function(e){return{name:e.name,tensor:i[e.name]}}));this.applyGradients(o)}else this.applyGradients(i);return Jc(i),t?a:(a.dispose(),null)}},{key:"iterations",get:function(){return null==this.iterations_&&(this.iterations_=0),this.iterations_}},{key:"incrementIterations",value:function(){this.iterations_=this.iterations+1}},{key:"computeGradients",value:function(e,t){return xl(e,t)}},{key:"dispose",value:function(){null!=this.iterations_&&Jc(this.iterations_)}},{key:"saveIterations",value:function(){var e=Fe(Pe().mark((function e(){return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return null==this.iterations_&&(this.iterations_=0),e.abrupt("return",{name:"iter",tensor:Sl(this.iterations_,"int32")});case 2:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}()},{key:"getWeights",value:function(){var e=Fe(Pe().mark((function e(){return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:throw new Error("getWeights() is not implemented for this optimizer yet.");case 1:case"end":return e.stop()}}),e)})));return function(){return e.apply(this,arguments)}}()},{key:"setWeights",value:function(){var e=Fe(Pe().mark((function e(t){return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:throw new Error("setWeights() is not implemented for this optimizer class "+"".concat(this.getClassName()));case 1:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}()},{key:"extractIterations",value:function(){var e=Fe(Pe().mark((function e(t){return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,t[0].tensor.data();case 2:return this.iterations_=e.sent[0],e.abrupt("return",t.slice(1));case 4:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}()}]),n}(Cc);Object.defineProperty(Nl,Symbol.hasInstance,{value:function(e){return null!=e.minimize&&null!=e.computeGradients&&null!=e.applyGradients}});var Il=function(e){mo(n,e);var t=wo(n);function n(e,r){var a,i=arguments.length>2&&void 0!==arguments[2]?arguments[2]:null;return ft(this,n),(a=t.call(this)).learningRate=e,a.rho=r,a.epsilon=i,a.accumulatedGrads=[],a.accumulatedUpdates=[],null==i&&(a.epsilon=$o.backend.epsilon()),a}return vt(n,[{key:"applyGradients",value:function(e){var t=this;(Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e)).forEach((function(n,r){var a=$o.registeredVariables[n];null==t.accumulatedGrads[r]&&(t.accumulatedGrads[r]={originalName:"".concat(n,"/accum_grad"),variable:Qc((function(){return vl(a).variable(false)}))}),null==t.accumulatedUpdates[r]&&(t.accumulatedUpdates[r]={originalName:"".concat(n,"/accum_var"),variable:Qc((function(){return vl(a).variable(false)}))});var i=Array.isArray(e)?e[r].tensor:e[n];if(null!=i){var o=t.accumulatedGrads[r].variable,s=t.accumulatedUpdates[r].variable;Qc((function(){var e=cl(dl(o,t.rho),dl(pl(i),1-t.rho)),n=dl(hl(fl(cl(s,t.epsilon)),fl(cl(o,t.epsilon))),i),r=cl(dl(s,t.rho),dl(pl(n),1-t.rho));o.assign(e),s.assign(r);var u=cl(dl(n,-t.learningRate),a);a.assign(u)}))}})),this.incrementIterations()}},{key:"dispose",value:function(){null!=this.accumulatedUpdates&&(Jc(this.accumulatedGrads.map((function(e){return e.variable}))),Jc(this.accumulatedUpdates.map((function(e){return e.variable}))))}},{key:"getWeights",value:function(){var e=Fe(Pe().mark((function e(){var t;return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=[].concat(dt(this.accumulatedGrads),dt(this.accumulatedUpdates)),e.next=3,this.saveIterations();case 3:return e.t0=e.sent,e.abrupt("return",[e.t0].concat(t.map((function(e){return{name:e.originalName,tensor:e.variable}}))));case 5:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}()},{key:"setWeights",value:function(){var e=Fe(Pe().mark((function e(t){var n;return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.extractIterations(t);case 2:t=e.sent,n=t.length/2,!1,this.accumulatedGrads=t.slice(0,n).map((function(e){return{originalName:e.name,variable:e.tensor.variable(false)}})),this.accumulatedUpdates=t.slice(n,2*n).map((function(e){return{originalName:e.name,variable:e.tensor.variable(false)}}));case 7:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}()},{key:"getConfig",value:function(){return{learningRate:this.learningRate,rho:this.rho,epsilon:this.epsilon}}}],[{key:"fromConfig",value:function(e,t){return new e(t.learningRate,t.rho,t.epsilon)}}]),n}(Nl);function Tl(e,t,n){var r={shape:e,value:t,dtype:n};return $o.runKernel(Cr,{},r)}Il.className="Adadelta",_c(Il);var Cl=function(e){mo(n,e);var t=wo(n);function n(e){var r,a=arguments.length>1&&void 0!==arguments[1]?arguments[1]:.1;return ft(this,n),(r=t.call(this)).learningRate=e,r.initialAccumulatorValue=a,r.accumulatedGrads=[],r}return vt(n,[{key:"applyGradients",value:function(e){var t=this;(Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e)).forEach((function(n,r){var a=$o.registeredVariables[n];if(null==t.accumulatedGrads[r]){t.accumulatedGrads[r]={originalName:"".concat(n,"/accumulator"),variable:Qc((function(){return Tl(a.shape,t.initialAccumulatorValue).variable(false)}))}}var i=Array.isArray(e)?e[r].tensor:e[n];if(null!=i){var o=t.accumulatedGrads[r].variable;Qc((function(){var e=cl(o,pl(i));o.assign(e);var n=cl(dl(hl(i,fl(cl(e,$o.backend.epsilon()))),-t.learningRate),a);a.assign(n)}))}})),this.incrementIterations()}},{key:"dispose",value:function(){null!=this.accumulatedGrads&&Jc(this.accumulatedGrads.map((function(e){return e.variable})))}},{key:"getWeights",value:function(){var e=Fe(Pe().mark((function e(){return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.saveIterations();case 2:return e.t0=e.sent,e.abrupt("return",[e.t0].concat(this.accumulatedGrads.map((function(e){return{name:e.originalName,tensor:e.variable}}))));case 4:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}()},{key:"setWeights",value:function(){var e=Fe(Pe().mark((function e(t){return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.extractIterations(t);case 2:t=e.sent,!1,this.accumulatedGrads=t.map((function(e){return{originalName:e.name,variable:e.tensor.variable(false)}}));case 5:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}()},{key:"getConfig",value:function(){return{learningRate:this.learningRate,initialAccumulatorValue:this.initialAccumulatorValue}}}],[{key:"fromConfig",value:function(e,t){return new e(t.learningRate,t.initialAccumulatorValue)}}]),n}(Nl);Cl.className="Adagrad",_c(Cl);var El=hs({pow_:function(e,t){var n=us(e,"base","pow"),r=us(t,"exp","pow"),a=G(jo(n,r),2),i={a:n=a[0],b:r=a[1]};return $o.runKernel(Na,i)}});var _l=hs({sub_:function(e,t){var n=us(e,"a","sub"),r=us(t,"b","sub"),a=G(jo(n,r),2),i={a:n=a[0],b:r=a[1]};return $o.runKernel(hi,i)}}),Al=function(e){mo(n,e);var t=wo(n);function n(e,r,a){var i,o=arguments.length>3&&void 0!==arguments[3]?arguments[3]:null;return ft(this,n),(i=t.call(this)).learningRate=e,i.beta1=r,i.beta2=a,i.epsilon=o,i.accumulatedFirstMoment=[],i.accumulatedSecondMoment=[],Qc((function(){i.accBeta1=Sl(r).variable(),i.accBeta2=Sl(a).variable()})),null==o&&(i.epsilon=$o.backend.epsilon()),i}return vt(n,[{key:"applyGradients",value:function(e){var t=this,n=Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e);Qc((function(){var r=_l(1,t.accBeta1),a=_l(1,t.accBeta2);n.forEach((function(n,i){var o=$o.registeredVariables[n];null==t.accumulatedFirstMoment[i]&&(t.accumulatedFirstMoment[i]={originalName:"".concat(n,"/m"),variable:Qc((function(){return vl(o).variable(false)}))}),null==t.accumulatedSecondMoment[i]&&(t.accumulatedSecondMoment[i]={originalName:"".concat(n,"/v"),variable:Qc((function(){return vl(o).variable(false)}))});var s=Array.isArray(e)?e[i].tensor:e[n];if(null!=s){var u=t.accumulatedFirstMoment[i].variable,c=t.accumulatedSecondMoment[i].variable,l=cl(dl(u,t.beta1),dl(s,1-t.beta1)),h=cl(dl(c,t.beta2),dl(pl(s),1-t.beta2)),d=hl(l,r),f=hl(h,a);u.assign(l),c.assign(h);var p=cl(dl(hl(d,cl(fl(f),t.epsilon)),-t.learningRate),o);o.assign(p)}})),t.accBeta1.assign(dl(t.accBeta1,t.beta1)),t.accBeta2.assign(dl(t.accBeta2,t.beta2))})),this.incrementIterations()}},{key:"dispose",value:function(){this.accBeta1.dispose(),this.accBeta2.dispose(),null!=this.accumulatedFirstMoment&&Jc(this.accumulatedFirstMoment.map((function(e){return e.variable}))),null!=this.accumulatedSecondMoment&&Jc(this.accumulatedSecondMoment.map((function(e){return e.variable})))}},{key:"getWeights",value:function(){var e=Fe(Pe().mark((function e(){var t;return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=[].concat(dt(this.accumulatedFirstMoment),dt(this.accumulatedSecondMoment)),e.next=3,this.saveIterations();case 3:return e.t0=e.sent,e.abrupt("return",[e.t0].concat(t.map((function(e){return{name:e.originalName,tensor:e.variable}}))));case 5:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}()},{key:"setWeights",value:function(){var e=Fe(Pe().mark((function e(t){var n,r=this;return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.extractIterations(t);case 2:t=e.sent,Qc((function(){r.accBeta1.assign(El(r.beta1,r.iterations_+1)),r.accBeta2.assign(El(r.beta2,r.iterations_+1))})),n=t.length/2,!1,this.accumulatedFirstMoment=t.slice(0,n).map((function(e){return{originalName:e.name,variable:e.tensor.variable(false)}})),this.accumulatedSecondMoment=t.slice(n,2*n).map((function(e){return{originalName:e.name,variable:e.tensor.variable(false)}}));case 8:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}()},{key:"getConfig",value:function(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon}}}],[{key:"fromConfig",value:function(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon)}}]),n}(Nl);Al.className="Adam",_c(Al);var Rl=hs({abs_:function(e){var t=us(e,"x","abs");if("complex64"===t.dtype){var n={x:t};return $o.runKernel(Qn,n)}var r={x:t};return $o.runKernel(Sn,r)}});var Dl=hs({maximum_:function(e,t){var n=us(e,"a","maximum"),r=us(t,"b","maximum"),a=G(jo(n,r),2);n=a[0],r=a[1],"bool"===n.dtype&&(n=ku(n,"int32"),r=ku(r,"int32")),Ju(n.shape,r.shape);var i={a:n,b:r};return $o.runKernel(ta,i)}}),Ml=function(e){mo(n,e);var t=wo(n);function n(e,r,a){var i,o=arguments.length>3&&void 0!==arguments[3]?arguments[3]:null,s=arguments.length>4&&void 0!==arguments[4]?arguments[4]:0;return ft(this,n),(i=t.call(this)).learningRate=e,i.beta1=r,i.beta2=a,i.epsilon=o,i.decay=s,i.accumulatedFirstMoment=[],i.accumulatedWeightedInfNorm=[],Qc((function(){i.iteration=Sl(0).variable(),i.accBeta1=Sl(r).variable()})),null==o&&(i.epsilon=$o.backend.epsilon()),i}return vt(n,[{key:"applyGradients",value:function(e){var t=this,n=Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e);Qc((function(){var r=_l(1,t.accBeta1),a=hl(-t.learningRate,cl(dl(t.iteration,t.decay),1));n.forEach((function(n,i){var o=$o.registeredVariables[n];null==t.accumulatedFirstMoment[i]&&(t.accumulatedFirstMoment[i]={originalName:"".concat(n,"/m"),variable:vl(o).variable(false)}),null==t.accumulatedWeightedInfNorm[i]&&(t.accumulatedWeightedInfNorm[i]={originalName:"".concat(n,"/v"),variable:vl(o).variable(false)});var s=Array.isArray(e)?e[i].tensor:e[n];if(null!=s){var u=t.accumulatedFirstMoment[i].variable,c=t.accumulatedWeightedInfNorm[i].variable,l=cl(dl(u,t.beta1),dl(s,1-t.beta1)),h=dl(c,t.beta2),d=Rl(s),f=Dl(h,d);u.assign(l),c.assign(f);var p=cl(dl(hl(a,r),hl(l,cl(f,t.epsilon))),o);o.assign(p)}})),t.iteration.assign(cl(t.iteration,1)),t.accBeta1.assign(dl(t.accBeta1,t.beta1))})),this.incrementIterations()}},{key:"dispose",value:function(){this.accBeta1.dispose(),this.iteration.dispose(),null!=this.accumulatedFirstMoment&&Jc(this.accumulatedFirstMoment.map((function(e){return e.variable}))),null!=this.accumulatedWeightedInfNorm&&Jc(this.accumulatedWeightedInfNorm.map((function(e){return e.variable})))}},{key:"getWeights",value:function(){var e=Fe(Pe().mark((function e(){return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:throw new Error("getWeights() is not implemented for Adamax yet.");case 1:case"end":return e.stop()}}),e)})));return function(){return e.apply(this,arguments)}}()},{key:"setWeights",value:function(){var e=Fe(Pe().mark((function e(t){return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:throw new Error("setWeights() is not implemented for Adamax yet.");case 1:case"end":return e.stop()}}),e)})));return function(t){return e.apply(this,arguments)}}()},{key:"getConfig",value:function(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon,decay:this.decay}}}],[{key:"fromConfig",value:function(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon,t.decay)}}]),n}(Nl);Ml.className="Adamax",_c(Ml);var Ol=function(e){mo(n,e);var t=wo(n);function n(e){var r;return ft(this,n),(r=t.call(this)).learningRate=e,r.setLearningRate(e),r}return vt(n,[{key:"applyGradients",value:function(e){var t=this;(Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e)).forEach((function(n,r){var a=Array.isArray(e)?e[r].tensor:e[n];if(null!=a){var i=$o.registeredVariables[n];Qc((function(){var e=cl(dl(t.c,a),i);i.assign(e)}))}})),this.incrementIterations()}},{key:"setLearningRate",value:function(e){this.learningRate=e,null!=this.c&&this.c.dispose(),this.c=Zc(Sl(-e))}},{key:"dispose",value:function(){this.c.dispose()}},{key:"getWeights",value:function(){var e=Fe(Pe().mark((function e(){return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.saveIterations();case 2:return e.t0=e.sent,e.abrupt("return",[e.t0]);case 4:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}()},{key:"setWeights",value:function(){var e=Fe(Pe().mark((function e(t){return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.extractIterations(t);case 2:if(0===(t=e.sent).length){e.next=5;break}throw new Error("SGD optimizer does not have settable weights.");case 5:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}()},{key:"getConfig",value:function(){return{learningRate:this.learningRate}}}],[{key:"fromConfig",value:function(e,t){return new e(t.learningRate)}}]),n}(Nl);Ol.className="SGD",_c(Ol);var Fl=function(e){mo(n,e);var t=wo(n);function n(e,r){var a,i=arguments.length>2&&void 0!==arguments[2]&&arguments[2];return ft(this,n),(a=t.call(this,e)).learningRate=e,a.momentum=r,a.useNesterov=i,a.accumulations=[],a.m=Sl(a.momentum),a}return vt(n,[{key:"applyGradients",value:function(e){var t=this;(Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e)).forEach((function(n,r){var a=$o.registeredVariables[n];if(null==t.accumulations[r]){t.accumulations[r]={originalName:"".concat(n,"/momentum"),variable:Qc((function(){return vl(a).variable(false)}))}}var i=t.accumulations[r].variable,o=Array.isArray(e)?e[r].tensor:e[n];null!=o&&Qc((function(){var e,n=cl(dl(t.m,i),o);e=t.useNesterov?cl(dl(t.c,cl(o,dl(n,t.m))),a):cl(dl(t.c,n),a),i.assign(n),a.assign(e)}))})),this.incrementIterations()}},{key:"dispose",value:function(){this.m.dispose(),null!=this.accumulations&&Jc(this.accumulations.map((function(e){return e.variable})))}},{key:"setMomentum",value:function(e){this.momentum=e}},{key:"getWeights",value:function(){var e=Fe(Pe().mark((function e(){return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.saveIterations();case 2:return e.t0=e.sent,e.abrupt("return",[e.t0].concat(this.accumulations.map((function(e){return{name:e.originalName,tensor:e.variable}}))));case 4:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}()},{key:"setWeights",value:function(){var e=Fe(Pe().mark((function e(t){return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.extractIterations(t);case 2:t=e.sent,!1,this.accumulations=t.map((function(e){return{originalName:e.name,variable:e.tensor.variable(false)}}));case 5:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}()},{key:"getConfig",value:function(){return{learningRate:this.learningRate,momentum:this.momentum,useNesterov:this.useNesterov}}}],[{key:"fromConfig",value:function(e,t){return new e(t.learningRate,t.momentum,t.useNesterov)}}]),n}(Ol);Fl.className="Momentum",_c(Fl);var Ll=function(e){mo(n,e);var t=wo(n);function n(e){var r,a=arguments.length>1&&void 0!==arguments[1]?arguments[1]:.9,i=arguments.length>2&&void 0!==arguments[2]?arguments[2]:0,o=arguments.length>3&&void 0!==arguments[3]?arguments[3]:null,s=arguments.length>4&&void 0!==arguments[4]&&arguments[4];if(ft(this,n),(r=t.call(this)).learningRate=e,r.decay=a,r.momentum=i,r.epsilon=o,r.accumulatedMeanSquares=[],r.accumulatedMoments=[],r.accumulatedMeanGrads=[],r.centered=s,null==o&&(r.epsilon=$o.backend.epsilon()),null==e)throw new Error("learningRate for RMSPropOptimizer must be defined.");return r}return vt(n,[{key:"applyGradients",value:function(e){var t=this;(Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e)).forEach((function(n,r){var a=$o.registeredVariables[n],i=!1;null==t.accumulatedMeanSquares[r]&&(t.accumulatedMeanSquares[r]={originalName:"".concat(n,"/rms"),variable:Qc((function(){return vl(a).variable(i)}))}),null==t.accumulatedMoments[r]&&(t.accumulatedMoments[r]={originalName:"".concat(n,"/momentum"),variable:Qc((function(){return vl(a).variable(i)}))}),null==t.accumulatedMeanGrads[r]&&t.centered&&(t.accumulatedMeanGrads[r]={originalName:"".concat(n,"/mg"),variable:Qc((function(){return vl(a).variable(i)}))});var o=Array.isArray(e)?e[r].tensor:e[n];if(null!=o){var s=t.accumulatedMeanSquares[r].variable,u=t.accumulatedMoments[r].variable;Qc((function(){var e=cl(dl(s,t.decay),dl(pl(o),1-t.decay));if(t.centered){var n=t.accumulatedMeanGrads[r].variable,i=cl(dl(n,t.decay),dl(o,1-t.decay)),c=hl(dl(o,t.learningRate),fl(_l(e,cl(pl(i),t.epsilon)))),l=cl(dl(u,t.momentum),c);s.assign(e),n.assign(i),u.assign(l);var h=_l(a,l);a.assign(h)}else{var d=cl(dl(s,t.decay),dl(pl(o),1-t.decay)),f=cl(dl(u,t.momentum),hl(dl(o,t.learningRate),fl(cl(d,t.epsilon))));s.assign(d),u.assign(f);var p=_l(a,f);a.assign(p)}}))}})),this.incrementIterations()}},{key:"dispose",value:function(){null!=this.accumulatedMeanSquares&&Jc(this.accumulatedMeanSquares.map((function(e){return e.variable}))),null!=this.accumulatedMeanGrads&&this.centered&&Jc(this.accumulatedMeanGrads.map((function(e){return e.variable}))),null!=this.accumulatedMoments&&Jc(this.accumulatedMoments.map((function(e){return e.variable})))}},{key:"getWeights",value:function(){var e=Fe(Pe().mark((function e(){var t;return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=[].concat(dt(this.accumulatedMeanSquares),dt(this.accumulatedMoments)),this.centered&&t.push.apply(t,dt(this.accumulatedMeanGrads)),e.next=4,this.saveIterations();case 4:return e.t0=e.sent,e.abrupt("return",[e.t0].concat(t.map((function(e){return{name:e.originalName,tensor:e.variable}}))));case 6:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}()},{key:"setWeights",value:function(){var e=Fe(Pe().mark((function e(t){var n,r;return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.extractIterations(t);case 2:t=e.sent,n=this.centered?t.length/3:t.length/2,r=!1,this.accumulatedMeanSquares=t.slice(0,n).map((function(e){return{originalName:e.name,variable:e.tensor.variable(r)}})),this.accumulatedMoments=t.slice(n,2*n).map((function(e){return{originalName:e.name,variable:e.tensor.variable(r)}})),this.centered&&(this.accumulatedMeanGrads=t.slice(2*n,3*n).map((function(e){return{originalName:e.name,variable:e.tensor.variable(r)}})));case 8:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}()},{key:"getConfig",value:function(){return{learningRate:this.learningRate,decay:this.decay,momentum:this.momentum,epsilon:this.epsilon,centered:this.centered}}}],[{key:"fromConfig",value:function(e,t){return new e(t.learningRate,t.decay,t.momentum,t.epsilon,t.centered)}}]),n}(Nl);Ll.className="RMSProp",_c(Ll);var Pl=function(){function e(){ft(this,e)}return vt(e,null,[{key:"sgd",value:function(e){return new Ol(e)}},{key:"momentum",value:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]&&arguments[2];return new Fl(e,t,n)}},{key:"rmsprop",value:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:.9,n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:0,r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:null,a=arguments.length>4&&void 0!==arguments[4]&&arguments[4];return new Ll(e,t,n,r,a)}},{key:"adam",value:function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:.001,t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:.9,n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:.999,r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:null;return new Al(e,t,n,r)}},{key:"adadelta",value:function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:.001,t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:.95,n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:null;return new Il(e,t,n)}},{key:"adamax",value:function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:.002,t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:.9,n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:.999,r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:null,a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:0;return new Ml(e,t,n,r,a)}},{key:"adagrad",value:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:.1;return new Cl(e,t)}}]),e}();var zl=hs({acos_:function(e){var t={x:us(e,"x","acos")};return $o.runKernel(Nn,t)}});var Bl=hs({acosh_:function(e){var t={x:us(e,"x","acosh")};return $o.runKernel(In,t)}});var Wl=hs({addN_:function(e){Ct(Array.isArray(e),(function(){return"The argument passed to tf.addN() must be a list of tensors"})),Ct(e.length>=1,(function(){return"Must pass at least one tensor to tf.addN(), but got "+"".concat(e.length)}));var t=e.map((function(e,t){return us(e,"tensors".concat(t),"addN")})),n=t[0];t.forEach((function(e){if(e.dtype!==n.dtype)throw new Error("All tensors passed to tf.addN() must have the same dtype")})),t.forEach((function(e){if(!Mt(e.shape,n.shape))throw new Error("All tensors passed to tf.addN() must have the same shape")}));var r=t;return $o.runKernel(Cn,r)}});var Vl=hs({all_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:null,n=arguments.length>2&&void 0!==arguments[2]&&arguments[2],r=us(e,"x","all","bool"),a={x:r},i={axis:t,keepDims:n};return $o.runKernel(En,a,i)}});var jl=hs({any_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:null,n=arguments.length>2&&void 0!==arguments[2]&&arguments[2],r=us(e,"x","any","bool"),a={x:r},i={axis:t,keepDims:n};return $o.runKernel(_n,a,i)}});var Ul=hs({argMax_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:0,n=us(e,"x","argMax"),r={x:n},a={axis:t};return $o.runKernel(An,r,a)}});var Hl=hs({argMin_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:0,n=us(e,"x","argMin"),r={x:n},a={axis:t};return $o.runKernel(Rn,r,a)}});var Gl=hs({asin_:function(e){var t={x:us(e,"x","asin")};return $o.runKernel(Dn,t)}});var ql=hs({asinh_:function(e){var t={x:us(e,"x","asinh")};return $o.runKernel(Mn,t)}});var Kl=hs({atan_:function(e){var t={x:us(e,"x","atan")};return $o.runKernel(On,t)}});var Xl=hs({atan2_:function(e,t){var n=us(e,"a","atan2"),r=us(t,"b","atan2"),a=G(jo(n,r),2),i={a:n=a[0],b:r=a[1]};return $o.runKernel(Ln,i)}});var Yl=hs({atanh_:function(e){var t={x:us(e,"x","atanh")};return $o.runKernel(Fn,t)}});function Ql(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:"NHWC",i=arguments.length>5?arguments[5]:void 0,o=e[3],s=[].concat(dt(t),[o]),u=lh(a);return $l(e,s,n,i,r,null,null,u)}function Jl(e,t,n,r,a,i){var o,s=arguments.length>6&&void 0!==arguments[6]?arguments[6]:"channelsLast",u=nh(t),c=G(u,2),l=c[0],h=c[1];if("channelsLast"===s)o=[l,h,e[3],e[3]];else{if("channelsFirst"!==s)throw new Error("Unknown dataFormat ".concat(s));o=[l,h,e[1],e[1]]}return 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v,m=G(t,5),g=m[0],y=m[1],b=m[2],x=m[4],k=rh(n),w=G(k,3),S=w[0],N=w[1],I=w[2],T=rh(r),C=G(T,3),E=C[0],_=C[1],A=C[2],R=ah(g,E),D=ah(y,_),M=ah(b,A),O=oh(a,c,l,h,S,N,I,R,D,M,s),F=O.padInfo,L=O.outDepth,P=O.outHeight,z=O.outWidth,B=i?x*d:x;return"channelsFirst"===o?v=[u,B,L,P,z]:"channelsLast"===o&&(v=[u,L,P,z,B]),{batchSize:u,dataFormat:o,inDepth:c,inHeight:l,inWidth:h,inChannels:d,outDepth:L,outHeight:P,outWidth:z,outChannels:B,padInfo:F,strideDepth:S,strideHeight:N,strideWidth:I,filterDepth:g,filterHeight:y,filterWidth:b,effectiveFilterDepth:R,effectiveFilterHeight:D,effectiveFilterWidth:M,dilationDepth:E,dilationHeight:_,dilationWidth:A,inShape:e,outShape:v,filterShape:t}}function th(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:1,a=ah(t,r);return Math.floor((e[0]*(n-1)-n+a)/2)}function nh(e){return"number"===typeof e?[e,e,e]:2===e.length?[e[0],e[1],1]:e}function rh(e){return"number"===typeof e?[e,e,e]:e}function ah(e,t){return t<=1?e:e+(e-1)*(t-1)}function 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oh(e,t,n,r,a,i,o,s,u,c,l){var h,d,f,p;if("number"===typeof e){h={top:e,bottom:e,left:e,right:e,front:e,back:e,type:0===e?"VALID":"NUMBER"};var v=function(e,t,n,r,a,i){null==a&&(a=th(e,t,r));var o=e[0],s=e[1],u=e[2];return[sh((o-t+2*a)/r+1,i),sh((s-t+2*a)/r+1,i),sh((u-t+2*a)/r+1,i),n]}([t,n,r,1],s,1,a,e,l);d=v[0],f=v[1],p=v[2]}else if("same"===e){var m=((d=Math.ceil(t/a))-1)*a+s-t,g=((f=Math.ceil(n/i))-1)*i+u-n,y=((p=Math.ceil(r/o))-1)*o+c-r,b=Math.floor(m/2),x=m-b,k=Math.floor(g/2),w=g-k,S=Math.floor(y/2);h={top:k,bottom:w,left:S,right:y-S,front:b,back:x,type:"SAME"}}else{if("valid"!==e)throw Error("Unknown padding parameter: ".concat(e));h={top:0,bottom:0,left:0,right:0,front:0,back:0,type:"VALID"},d=Math.ceil((t-s+1)/a),f=Math.ceil((n-u+1)/i),p=Math.ceil((r-c+1)/o)}return{padInfo:h,outDepth:d,outHeight:f,outWidth:p}}function sh(e,t){if(!t)return Math.trunc(e);switch(t){case"round":return Math.round(e);case"ceil":return Math.ceil(e);case"floor":return Math.floor(e);default:throw new Error("Unknown roundingMode ".concat(t))}}function uh(e){var t=G(nh(e),3),n=t[0],r=t[1],a=t[2];return 1===n&&1===r&&1===a}function ch(e,t){return uh(e)||uh(t)}function lh(e){if("NHWC"===e)return"channelsLast";if("NCHW"===e)return"channelsFirst";throw new Error("Unknown dataFormat ".concat(e))}function hh(e,t,n){if(null!=n){if("string"===typeof t)throw Error("Error in ".concat(e,": pad must be an integer when using ")+"dimRoundingMode ".concat(n," but got pad ").concat(t,"."));if("number"===typeof t)Ct(Ot(t),(function(){return"Error in ".concat(e,": pad must be an integer when using ")+"dimRoundingMode ".concat(n," but got pad ").concat(t,".")}));else{if("object"!==typeof t)throw Error("Error in ".concat(e,": Unknown padding parameter: ").concat(t));t.forEach((function(t){t.forEach((function(t){Ct(Ot(t),(function(){return"Error in ".concat(e,": pad must be an integer when using ")+"dimRoundingMode ".concat(n," but got pad ").concat(t,".")}))}))}))}}}var dh=hs({reshape_:function(e,t){var n={x:us(e,"x","reshape","string_or_numeric")},r={shape:t};return $o.runKernel(Ra,n,r)}});var fh=hs({avgPool_:function(e,t,n,r,a){var i=us(e,"x","avgPool","float32");Ct(ch(n,1),(function(){return"Error in avgPool: Either strides or dilations must be 1. "+"Got strides ".concat(n," and dilations '").concat(1,"'")}));var o=i,s=!1;3===i.rank&&(s=!0,o=dh(i,[1,i.shape[0],i.shape[1],i.shape[2]])),Ct(4===o.rank,(function(){return"Error in avgPool: x must be rank 4 but got rank ".concat(o.rank,".")})),hh("avgPool",r,a);var u={x:o},c={filterSize:t,strides:n,pad:r,dimRoundingMode:a},l=$o.runKernel(Pn,u,c);return l=ku(l,i.dtype),s?dh(l,[l.shape[1],l.shape[2],l.shape[3]]):l}});var ph=hs({avgPool3d_:function(e,t,n,r,a){var i=arguments.length>5&&void 0!==arguments[5]?arguments[5]:"NDHWC",o=us(e,"x","avgPool3d","float32"),s=o,u=!1;4===o.rank&&(u=!0,s=dh(o,[1,o.shape[0],o.shape[1],o.shape[2],o.shape[3]])),Ct(5===s.rank,(function(){return"Error in avgPool3d: x must be rank 5 but got rank ".concat(s.rank,".")})),Ct("NDHWC"===i,(function(){return"Error in avgPool3d: Only NDHWC is currently supported, "+"but got dataFormat of ".concat(i)})),hh("avgPool3d",r,a);var c={x:s},l={filterSize:t,strides:n,pad:r,dimRoundingMode:a,dataFormat:i},h=$o.runKernel(Bn,c,l);return h=ku(h,s.dtype),u?dh(h,[h.shape[1],h.shape[2],h.shape[3],h.shape[4]]):h}});var vh=hs({concat_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:0;Ct(e.length>=1,(function(){return"Pass at least one tensor to concat"}));var n=cs(e,"tensors","concat","string_or_numeric");

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"))})),1===n.length)return wu(n[0]);var r=n,a={axis:t};return $o.runKernel(Jn,r,a)}});var mh=hs({sigmoid_:function(e){var t={x:us(e,"x","sigmoid","float32")};return $o.runKernel(Ka,t)}});var gh=hs({slice_:function(e,t,n){var r=us(e,"x","slice","string_or_numeric");if(0===r.rank)throw new Error("Slicing scalar is not possible");var a={x:r},i={begin:t,size:n};return $o.runKernel(Ua,a,i)}});var yh=hs({tanh_:function(e){var t={x:us(e,"x","tanh","float32")};return $o.runKernel(fi,t)}});var bh=hs({basicLSTMCell_:function(e,t,n,r,a,i){var o=us(e,"forgetBias","basicLSTMCell"),s=us(t,"lstmKernel","basicLSTMCell"),u=us(n,"lstmBias","basicLSTMCell"),c=us(r,"data","basicLSTMCell"),l=us(a,"c","basicLSTMCell"),h=us(i,"h","basicLSTMCell"),d=vh([c,h],1),f=Hu(d,s),p=cl(f,u),v=p.shape[0],m=p.shape[1]/4,g=[v,m],y=gh(p,[0,0],g),b=gh(p,[0,m],g),x=gh(p,[0,2*m],g),k=gh(p,[0,3*m],g),w=cl(dl(mh(y),yh(b)),dl(l,mh(cl(o,x))));return[w,dl(yh(w),mh(k))]}});var xh=hs({batchToSpaceND_:function(e,t,n){var r=us(e,"x","batchToSpaceND"),a=t.reduce((function(e,t){return e*t}));Ct(r.rank>=1+t.length,(function(){return"input rank is ".concat(r.rank," but should be > than blockShape.length ").concat(t.length)})),Ct(n.length===t.length,(function(){return"crops.length is ".concat(n.length," but should be equal to blockShape.length  ").concat(t.length)})),Ct(r.shape[0]%a===0,(function(){return"input tensor batch is ".concat(r.shape[0]," but is not divisible by the product of ")+"the elements of blockShape ".concat(t.join(" * ")," === ").concat(a)}));var i={x:r},o={blockShape:t,crops:n};return $o.runKernel(jn,i,o)}});var kh=hs({batchNorm_:function(e,t,n,r,a,i){null==i&&(i=.001);var o,s,u=us(e,"x","batchNorm"),c=us(t,"mean","batchNorm"),l=us(n,"variance","batchNorm");null!=a&&(o=us(a,"scale","batchNorm")),null!=r&&(s=us(r,"offset","batchNorm")),Ct(c.rank===l.rank,(function(){return"Batch normalization gradient requires mean and variance to have equal ranks."})),Ct(null==s||c.rank===s.rank,(function(){return"Batch normalization gradient requires mean and offset to have equal ranks."})),Ct(null==o||c.rank===o.rank,(function(){return"Batch normalization gradient requires mean and scale to have equal ranks."}));var h=function(e){return 0===e.rank||1===e.rank?dh(e,[1,1,1,e.size]):2===e.rank?dh(e,[1,1,e.shape[0],e.shape[1]]):3===e.rank?dh(e,[1,e.shape[0],e.shape[1],e.shape[2]]):e}(u),d={x:h,scale:o,offset:s,mean:c,variance:l},f={varianceEpsilon:i},p=$o.runKernel(Rr,d,f);return dh(p,u.shape)}});var wh=hs({batchNorm2d_:function(e,t,n,r,a,i){var o,s,u=us(e,"x","batchNorm"),c=us(t,"mean","batchNorm"),l=us(n,"variance","batchNorm");return null!=a&&(o=us(a,"scale","batchNorm")),null!=r&&(s=us(r,"offset","batchNorm")),Ct(2===u.rank,(function(){return"Error in batchNorm2D: x must be rank 2 but got rank "+"".concat(u.rank,".")})),Ct(2===c.rank||1===c.rank,(function(){return"Error in batchNorm2D: mean must be rank 2 or rank 1 but "+"got rank ".concat(c.rank,".")})),Ct(2===l.rank||1===l.rank,(function(){return"Error in batchNorm2D: variance must be rank 2 or rank 1 "+"but got rank ".concat(l.rank,".")})),null!=o&&Ct(2===o.rank||1===o.rank,(function(){return"Error in batchNorm2D: scale must be rank 2 or rank 1 "+"but got rank ".concat(o.rank,".")})),null!=s&&Ct(2===s.rank||1===s.rank,(function(){return"Error in batchNorm2D: offset must be rank 2 or rank 1 "+"but got rank ".concat(s.rank,".")})),kh(u,c,l,s,o,i)}});var Sh=hs({batchNorm3d_:function(e,t,n,r,a,i){var o,s,u=us(e,"x","batchNorm"),c=us(t,"mean","batchNorm"),l=us(n,"variance","batchNorm");return null!=a&&(o=us(a,"scale","batchNorm")),null!=r&&(s=us(r,"offset","batchNorm")),Ct(3===u.rank,(function(){return"Error in batchNorm3D: x must be rank 3 but got rank "+"".concat(u.rank,".")})),Ct(3===c.rank||1===c.rank,(function(){return"Error in batchNorm3D: mean must be rank 3 or rank 1 but "+"got rank ".concat(c.rank,".")})),Ct(3===l.rank||1===l.rank,(function(){return"Error in batchNorm3D: variance must be rank 3 or rank 1 "+"but got rank ".concat(l.rank,".")})),null!=o&&Ct(3===o.rank||1===o.rank,(function(){return"Error in batchNorm3D: scale must be rank 3 or rank 1 "+"but got rank ".concat(o.rank,".")})),null!=s&&Ct(3===s.rank||1===s.rank,(function(){return"Error in batchNorm3D: offset must be rank 3 or rank 1 "+"but got rank ".concat(s.rank,".")})),kh(u,c,l,s,o,i)}});var Nh=hs({batchNorm4d_:function(e,t,n,r,a,i){var o,s,u=us(e,"x","batchNorm"),c=us(t,"mean","batchNorm"),l=us(n,"variance","batchNorm");return null!=a&&(o=us(a,"scale","batchNorm")),null!=r&&(s=us(r,"offset","batchNorm")),Ct(4===u.rank,(function(){return"Error in batchNorm4D: x must be rank 4 but got rank "+"".concat(u.rank,".")})),Ct(4===c.rank||1===c.rank,(function(){return"Error in batchNorm4D: mean must be rank 4 or rank 1 but "+"got rank ".concat(c.rank,".")})),Ct(4===l.rank||1===l.rank,(function(){return"Error in batchNorm4D: variance must be rank 4 or rank 1 "+"but got rank ".concat(l.rank,".")})),null!=o&&Ct(4===o.rank||1===o.rank,(function(){return"Error in batchNorm4D: scale must be rank 4 or rank 1 "+"but got rank ".concat(o.rank,".")})),null!=s&&Ct(4===s.rank||1===s.rank,(function(){return"Error in batchNorm4D: offset must be rank 4 or rank 1 "+"but got rank ".concat(s.rank,".")})),kh(u,c,l,s,o,i)}});var Ih=hs({bincount_:function(e,t,n){var r=us(e,"x","bincount"),a=us(t,"weights","bincount");Ct("int32"===r.dtype,(function(){return"Error in bincount: input "+"dtype must be int32, but got ".concat(r.dtype)})),Ct(n>=0,(function(){return"size must be non-negative, but got ".concat(n,".")})),Ct(a.size===r.size||0===a.size,(function(){return"Error in bincount: weights must have the same size as input or"+"0-length, but got input shape: ".concat(r.shape,", weights shape: ")+"".concat(a.shape,".")}));var i={x:r,weights:a},o={size:n};return $o.runKernel(Un,i,o)}});

2var Th=hs({broadcastArgs_:function(e,t){var n=us(e,"s0","broadcastArgs","int32"),r=us(t,"s1","broadcastArgs","int32");if(1!==n.rank)throw new Error("broadcastArgs(): first input must be a vector (rank=1). "+"Has rank ".concat(n.rank));if(1!==r.rank)throw new Error("broadcastArgs(): second input must be a vector (rank=1). "+"Has rank ".concat(r.rank));var a={s0:n,s1:r};return $o.runKernel(Gn,a)}});var Ch=hs({broadcastTo_:function(e,t){var n=us(e,"broadcastTo","x"),r=n.shape;if(t.some((function(e){return!(e>0)||e%1!==0})))throw new Error("broadcastTo(): Invalid broadcast shape [".concat(t,"]."));if(t.length<n.rank)throw new Error("broadcastTo(): shape.length=".concat(t.length," < input.rank=").concat(n.rank,"."));if(t.length>n.rank){for(var a=n.shape.slice();a.length<t.length;)a.unshift(1);n=dh(n,a)}for(var i=n.shape,o=Array.from(t),s=t.length-1;s>=0;s--)if(i[s]===t[s])o[s]=1;else if(1!==n.shape[s])throw new Error("broadcastTo(): [".concat(r,"] cannot be broadcast to [").concat(t,"]."));var u=o.map((function(e,t){return e>1?t:-1})).filter((function(e){return e>=0}));if(0===u.length)return wu(n);var c={x:n},l={reps:o};return $o.runKernel(pi,c,l)}});var Eh=hs({ceil_:function(e){var t={x:us(e,"x","ceil","float32")};return $o.runKernel(Kn,t)}});var _h=hs({clipByValue_:function(e,t,n){var r=us(e,"x","clipByValue");Ct(t<=n,(function(){return"Error in clip: min (".concat(t,") must be ")+"less than or equal to max (".concat(n,").")}));var a={x:r},i={clipValueMin:t,clipValueMax:n};return $o.runKernel(Xn,a,i)}});var Ah=hs({concat1d_:function(e){return vh(e,0)}});var Rh=hs({concat2d_:function(e,t){return vh(e,t)}});var Dh=hs({concat3d_:function(e,t){return vh(e,t)}});var Mh=hs({concat4d_:function(e,t){return vh(e,t)}});var Oh=hs({conv2d_:function(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:"NHWC",i=arguments.length>5&&void 0!==arguments[5]?arguments[5]:[1,1],o=arguments.length>6?arguments[6]:void 0,s=us(e,"x","conv2d","float32"),u=us(t,"filter","conv2d","float32"),c=s,l=!1;3===s.rank&&(l=!0,c=dh(s,[1,s.shape[0],s.shape[1],s.shape[2]])),Ct(4===c.rank,(function(){return"Error in conv2d: input must be rank 4, but got rank ".concat(c.rank,".")})),Ct(4===u.rank,(function(){return"Error in conv2d: filter must be rank 4, but got rank "+"".concat(u.rank,".")})),hh("conv2d",r,o);var h="NHWC"===a?c.shape[3]:c.shape[1];Ct(h===u.shape[2],(function(){return"Error in conv2d: depth of input (".concat(h,") must match ")+"input depth for filter ".concat(u.shape[2],".")})),Ct(ch(n,i),(function(){return"Error in conv2D: Either strides or dilations must be 1. "+"Got strides ".concat(n," and dilations '").concat(i,"'")}));var d={x:c,filter:u},f={strides:n,pad:r,dataFormat:a,dilations:i,dimRoundingMode:o},p=$o.runKernel(Zn,d,f);return l?dh(p,[p.shape[1],p.shape[2],p.shape[3]]):p}});var Fh=hs({conv1d_:function(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:"NWC",i=arguments.length>5&&void 0!==arguments[5]?arguments[5]:1,o=arguments.length>6?arguments[6]:void 0,s=us(e,"x","conv1d"),u=us(t,"filter","conv1d"),c=s,l=!1;2===s.rank&&(l=!0,c=dh(s,[1,s.shape[0],s.shape[1]])),Ct(3===c.rank,(function(){return"Error in conv1d: input must be rank 3, but got rank ".concat(c.rank,".")})),Ct(3===u.rank,(function(){return"Error in conv1d: filter must be rank 3, but got rank "+"".concat(u.rank,".")})),hh("conv1d",r,o),Ct(c.shape[2]===u.shape[1],(function(){return"Error in conv1d: depth of input (".concat(c.shape[2],") must match ")+"input depth for filter ".concat(u.shape[1],".")})),Ct(ch(n,i),(function(){return"Error in conv1D: Either stride or dilation must be 1. "+"Got stride ".concat(n," and dilation '").concat(i,"'")})),Ct("NWC"===a,(function(){return"Error in conv1d: got dataFormat of ".concat(a," but only NWC is currently supported.")}));var h=dh(u,[1,u.shape[0],u.shape[1],u.shape[2]]),d=dh(c,[c.shape[0],1,c.shape[1],c.shape[2]]),f=[1,n],p=[1,i],v="NHWC",m=Oh(d,h,f,r,v,p,o);return dh(m,l?[m.shape[2],m.shape[3]]:[m.shape[0],m.shape[2],m.shape[3]])}});var Lh=hs({conv2DBackpropInput_:function(e,t,n,r,a){var i=arguments.length>5&&void 0!==arguments[5]?arguments[5]:"NHWC",o=arguments.length>6?arguments[6]:void 0;Ct(e.length===t.rank,(function(){return"Length of inShape "+"(".concat(e.length,") and rank of dy (").concat(t.rank,") must match")}));var s=e,u=t,c=!1;3===t.rank&&(c=!0,u=dh(t,[1,t.shape[0],t.shape[1],t.shape[2]]),s=[1,e[0],e[1],e[2]]),Ct(4===s.length,(function(){return"Error in conv2dDerIn

2=0,(function(){return"Negative dimension size caused by overflow when multiplying\n    ".concat(a," and ").concat(t,"  for depthToSpace with input shape\n    ").concat(r.shape)})),Ct(i*t>=0,(function(){return"Negative dimension size caused by overflow when multiplying\n    ".concat(i," and ").concat(t," for depthToSpace with input shape\n        ").concat(r.shape)})),Ct(o%(t*t)===0,(function(){return"Dimension size must be evenly divisible by ".concat(t*t," but is ").concat(o," for depthToSpace with input shape ").concat(r.shape)}));var s={x:r},u={blockSize:t,dataFormat:n};return $o.runKernel(cr,s,u)}});var qh=hs({depthwiseConv2d_:function(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:"NHWC",i=arguments.length>5&&void 0!==arguments[5]?arguments[5]:[1,1],o=arguments.length>6?arguments[6]:void 0,s=us(e,"x","depthwiseConv2d","float32"),u=us(t,"filter","depthwiseConv2d","float32"),c=s,l=!1;3===s.rank&&(l=!0,c=dh(s,[1,s.shape[0],s.shape[1],s.shape[2]])),Ct(4===c.rank,(function(){return"Error in depthwiseConv2d: input must be rank 4, but got "+"rank ".concat(c.rank,".")})),Ct(4===u.rank,(function(){return"Error in depthwiseConv2d: filter must be rank 4, but got rank "+"".concat(u.rank,".")})),Ct(c.shape[3]===u.shape[2],(function(){return"Error in depthwiseConv2d: number of input channels "+"(".concat(c.shape[3],") must match the inChannels dimension in ")+"filter ".concat(u.shape[2],".")})),hh("depthwiseConv2d",r,o);var h={x:c,filter:u},d={strides:n,pad:r,dataFormat:a,dilations:i,dimRoundingMode:o},f=$o.runKernel(lr,h,d);return l?dh(f,[f.shape[1],f.shape[2],f.shape[3]]):f}});var Kh=hs({diag_:function(e){var t={x:us(e,"x","diag")};return $o.runKernel(fr,t)}});var Xh=hs({dilation2d_:function(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:[1,1],i=arguments.length>5&&void 0!==arguments[5]?arguments[5]:"NHWC",o=us(e,"x","dilation2d"),s=us(t,"filter","dilation2d");Ct(3===o.rank||4===o.rank,(function(){return"Error in dilation2d: input must be rank 3 or 4, but got rank "+"".concat(o.rank,".")})),Ct(3===s.rank,(function(){return"Error in dilation2d: filter must be rank 3, but got rank "+"".concat(s.rank,".")})),Ct("NHWC"===i,(function(){return"Error in dilation2d: Only NHWC is currently supported, "+"but got dataFormat of ".concat(i)}));var u=o,c=!1;3===o.rank&&(u=dh(o,[1,o.shape[0],o.shape[1],o.shape[2]]),c=!0);var l={x:u,filter:s},h={strides:n,pad:r,dilations:a},d=$o.runKernel(pr,l,h);return c?dh(d,[d.shape[1],d.shape[2],d.shape[3]]):d}});var Yh=hs({equal_:function(e,t){var n=us(e,"a","equal","string_or_numeric"),r=us(t,"b","equal","string_or_numeric"),a=G(jo(n,r),2);n=a[0],r=a[1],Ju(n.shape,r.shape);var i={a:n,b:r};return $o.runKernel(wr,i)}});var Qh=hs({where_:function(e,t,n){var r=us(t,"a","where"),a=us(n,"b","where"),i=us(e,"condition","where","bool"),o=Ju(Ju(i.shape,r.shape),a.shape),s={condition:Ch(i,o),t:Ch(r,o),e:Ch(a,o)};return $o.runKernel(Va,s)}});var Jh=hs({divNoNan_:function(e,t){var n=us(e,"a","div"),r=us(t,"b","div"),a=G(jo(n,r),2);n=a[0],r=a[1];var i=hl(n,r),o=vl(i),s=Yh(r,o);return Qh(s,o,i)}});var Zh=hs({dot_:function(e,t){var n=us(e,"t1","dot"),r=us(t,"t2","dot");Ct((1===n.rank||2===n.rank)&&(1===r.rank||2===r.rank),(function(){return"Error in dot: inputs must all be rank 1 or 2, but got ranks "+"".concat(n.rank," and ").concat(r.rank,".")}));var a=1===n.rank?n.size:n.shape[1],i=1===r.rank?r.size:r.shape[0];if(Ct(a===i,(function(){return"Error in dot: inner dimensions of inputs must match, but got "+"".concat(a," and ").concat(i,".")})),1===n.rank&&1===r.rank){var o=dh(n,[1,-1]),s=dh(r,[-1,1]),u=Hu(o,s);return dh(u,[])}if(1===n.rank&&2===r.rank){var c=dh(n,[1,-1]),l=dh(r,[r.shape[0],r.shape[1]]),h=Hu(c,l);return dh(h,[h.size])}if(2===n.rank&&1===r.rank){var d=dh(r,[-1,1]),f=Hu(n,d);return dh(f,[f.size])}var p=dh(r,[r.shape[0],r.shape[1]]);return Hu(n,p)}});var $h=hs({einsum_:function(e){for(var t=arguments.length,n=new Array(t>1?t-1:0),r=1;r<t;r++)n[r-1]=arguments[r];var a=n.map((function(e,t){return us(e,"tensors".concat(t),"einsum")})),i={equation:e};return $o.runKernel(yr,a,i)}});var ed=hs({elu_:function(e){var t={x:us(e,"x","elu","float32")};return $o.runKernel(br,t)}});var td=hs({erf_:function(e){var t=us(e,"x","erf");Ct("int32"===t.dtype||"float32"===t.dtype,(function(){return"Input dtype must be `int32` or `float32`."})),"int32"===t.dtype&&(t=ku(t,"float32"));var n={x:t};return $o.runKernel(kr,n)}});var nd=hs({exp_:function(e){var t={x:us(e,"x","exp")};return $o.runKernel(Sr,t)}});var rd=hs({expandDims_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:0,n=us(e,"x","expandDims","string_or_numeric");Ct(t<=n.rank,(function(){return"Axis must be <= rank of the tensor"}));var r={input:n},a={dim:t};return $o.runKernel(Nr,r,a)}});var ad=hs({expm1_:function(e){var t={x:us(e,"x","expm1")};return $o.runKernel(Ir,t)}});var id=hs({tile_:function(e,t){var n=us(e,"x","tile","string_or_numeric");Ct(n.rank===t.length,(function(){return"Error in transpose: rank of input ".concat(n.rank," ")+"must match length of reps ".concat(t,".")}));var r={x:n},a={reps:t};return $o.runKernel(pi,r,a)}});var od=hs({eye_:function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:"float32";null==t&&(t=e);for(var a=xu([e,t],r),i=e<=t?e:t,o=0;o<i;++o)a.set(1,o,o);var s=dh(a.toTensor(),[e,t]);if(null==n)return s;if(1===n.length)return id(rd(s,0),[n[0],1,1]);if(2===n.length)return id(rd(rd(s,0),0),[n[0],n[1],1,1]);if(3===n.length)return id(rd(rd(rd(s,0),0),0),[n[0],n[1],n[2],1,1]);throw new Error("eye() currently supports only 1D and 2D "+"batchShapes, but received ".concat(n.length,"D."))}});var sd=hs({floor_:function(e){var t={x:us(e,"x","floor","float32")};return $o.runKernel(_r,t)}});var ud=hs({gather_:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:0,r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:0,a=us(e,"x","gather"),i=us(t,"indices","gather","int32"),o={x:a,indices:i},s={axis:n,batchDims:r};return $o.runKernel(Dr,o,s)}});var cd=hs({greater_:function(e,t){var n=us(e,"a","greater","string_or_numeric"),r=us(t,"b","greater","string_or_numeric"),a=G(jo(n,r),2);n=a[0],r=a[1],Ju(n.shape,r.shape);var i={a:n,b:r};return $o.runKernel(Or,i)}});var ld=hs({greaterEqual_:function(e,t){var n=us(e,"a","greaterEqual","string_or_numeric"),r=us(t,"b","greaterEqual","string_or_numeric"),a=G(jo(n,r),2);n=a[0],r=a[1],Ju(n.shape,r.shape);var i={a:n,b:r};return $o.runKernel(Fr,i)}});var hd=hs({imag_:function(e){var t={input:us(e,"input","imag")};return $o.runKernel(zr,t)}});var dd=hs({isFinite_:function(e){var t={x:us(e,"x","isFinite")};return $o.runKernel(Br,t)}});var fd=hs({isInf_:function(e){var t={x:us(e,"x","isInf")};return $o.runKernel(Wr,t)}});var pd=hs({isNaN_:function(e){var t={x:us(e,"x","isNaN")};return $o.runKernel(Vr,t)}});var vd=hs({leakyRelu_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:.2,n=us(e,"x","leakyRelu"),r={x:n},a={alpha:t};return $o.runKernel(jr,r,a)}});var md=hs({less_:function(e,t){var n=us(e,"a","less","string_or_numeric"),r=us(t,"b","less","string_or_numeric"),a=G(jo(n,r),2);n=a[0],r=a[1],Ju(n.shape,r.shape);var i={a:n,b:r};return $o.runKernel(Ur,i)}});var gd=hs({lessEqual_:function(e,t){var n=us(e,"a","lessEqual","string_or_numeric"),r=us(t,"b","lessEqual","string_or_numeric"),a=G(jo(n,r),2);n=a[0],r=a[1],Ju(n.shape,r.shape);var i={a:n,b:r};return $o.runKernel(Hr,i)}});function yd(e,t,n){if(n<=0)throw new Error("The number of values should be positive.");var r={start:e,stop:t,num:n};return $o.runKernel(Gr,{},r)}var bd=hs({localResponseNormalization_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:5,n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:1,r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:1,a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:.5,i=us(e,"x","localResponseNormalization");Ct(4===i.rank||3===i.rank,(function(){return"Error in localResponseNormalization: x must be rank 3 or 4 but got\n               rank ".concat(i.rank,".")})),Ct(Ot(t),(function(){return"Error in localResponseNormalization: depthRadius must be an "+"integer but got depthRadius ".concat(t,".")}));var o=i,s=!1;3===i.rank&&(s=!0,o=dh(i,[1,i.shape[0],i.shape[1],i.shape[2]]));var u={x:o},c={depthRadius:t,bias:n,alpha:r,beta:a},l=$o.runKernel(Zr,u,c);return s?dh(l,[l.shape[1],l.shape[2],l.shape[3]]):l}});var xd=hs({log_:function(e){var t={x:us(e,"x","log","float32")};return $o.runKernel(qr,t)}});var kd=hs({log1p_:function(e){var t={x:us(e,"x","log1p")};return $o.runKernel(Kr,t)}});var wd=hs({neg_:function(e){var t={x:us(e,"x","neg")};return $o.runKernel(pa,t)}});var Sd=hs({softplus_:function(e){var t={x:us(e,"x","softplus")};return $o.runKernel(Xa,t)}});var Nd=hs({logSigmoid_:function(e){var t=us(e,"x","logSigmoid"),n=kl((function(e){return{value:wd(Sd(wd(e))),gradFunc:function(t){return dl(t,mh(wd(e)))}}}));return n(t)}});var Id=hs({max_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:null,n=arguments.length>2&&void 0!==arguments[2]&&arguments[2],r=us(e,"x","max"),a={x:r},i={reductionIndices:t,keepDims:n};return $o.runKernel(ea,a,i)}});var Td=hs({sum_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:null,n=arguments.length>2&&void 0!==arguments[2]&&arguments[2],r=us(e,"x","sum");"bool"===r.dtype&&(r=ku(r,"int32"));var a={x:r},i={axis:t,keepDims:n};return $o.runKernel(Qa,a,i)}});var Cd=hs({logSoftmax_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:-1,n=us(e,"logits","logSoftmax");if(-1===t&&(t=n.rank-1),t!==n.rank-1)throw Error("Log Softmax along a non-last dimension is not yet supported. "+"Logits was rank ".concat(n.rank," and axis was ").concat(t));var r=kl((function(e,n){var r=Id(e,t,!0),a=_l(e,r),i=_l(ku(a,"float32"),xd(Td(nd(a),t,!0)));n([i]);return{value:i,gradFunc:function(e,n){var r=G(n,1)[0],a=nd(r);return _l(e,dl(Td(e,t,!0),a))}}}));return r(n)}});function Ed(e,t){for(var n=0;n<e.length;++n)if(e[e.length-n-1]!==t-1-n)return!1;return!0}function _d(e,t,n){for(var r=e.length+t.length,a=[],i=0,o=0,s=0;s<r;s++)-1===n.indexOf(s)?a.push(e[i++]):a.push(t[o++]);return a}function Ad(e,t){for(var n=[],r=e.length,a=0;a<r;a++)-1===t.indexOf(a)&&n.push(e[a]);var i=t.map((function(t){return e[t]}));return[n,i]}function Rd(e,t){return _d(e,t.map((function(e){return 1})),t)}function Dd(e,t,n){Ct(Ed(t,n),(function(){return"".concat(e," supports only inner-most axes for now. 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df=hs({prelu_:function(e,t){var n={x:us(e,"x","prelu"),alpha:us(t,"alpha","prelu")};return $o.runKernel(Ia,n)}});var ff=hs({prod_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:null,n=arguments.length>2&&void 0!==arguments[2]&&arguments[2],r=us(e,"x","prod");"bool"===r.dtype&&(r=ku(r,"int32"));var a={x:r},i={axis:t,keepDims:n};return $o.runKernel(Ta,a,i)}});var pf=hs({rand_:function(e,t,n){var r=Rt(e),a=null;if(null==n||"float32"===n)a=new Float32Array(r);else if("int32"===n)a=new Int32Array(r);else{if("bool"!==n)throw new Error("Unknown data type ".concat(n));a=new Uint8Array(r)}for(var i=0;i<r;i++)a[i]=t();return $o.makeTensor(a,e,n)}}),vf=n(699),mf=function(){function e(t,n,r,a,i){ft(this,e),this.mean=t,this.stdDev=n,this.dtype=r,this.nextVal=NaN,this.truncated=a,this.truncated&&(this.upper=this.mean+2*this.stdDev,this.lower=this.mean-2*this.stdDev);var o=i||Math.random();this.random=vf.alea(o.toString())}return vt(e,[{key:"nextValue",value:function(){if(!isNaN(this.nextVal)){var e=this.nextVal;return this.nextVal=NaN,e}for(var t,n,r=!1;!r;){var a=void 0,i=void 0,o=void 0;do{o=(a=2*this.random()-1)*a+(i=2*this.random()-1)*i}while(o>=1||0===o);var s=Math.sqrt(-2*Math.log(o)/o);t=this.mean+this.stdDev*a*s,n=this.mean+this.stdDev*i*s,this.truncated&&!this.isValidTruncated(t)||(r=!0)}return this.truncated&&!this.isValidTruncated(n)||(this.nextVal=this.convertValue(n)),this.convertValue(t)}},{key:"convertValue",value:function(e){return null==this.dtype||"float32"===this.dtype?e:Math.round(e)}},{key:"isValidTruncated",value:function(e){return e<=this.upper&&e>=this.lower}}]),e}(),gf=function(){function e(t,n,r,a){ft(this,e),this.alpha=t,this.beta=1/n,this.dtype=r;var i=a||Math.random();this.randu=vf.alea(i.toString()),this.randn=new mf(0,1,r,!1,this.randu()),this.d=t<1?t+2/3:t-1/3,this.c=1/Math.sqrt(9*this.d)}return vt(e,[{key:"nextValue",value:function(){for(var 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vt(e,[{key:"convertValue",value:function(e){return this.canReturnFloat()?e:Math.round(e)}},{key:"nextValue",value:function(){return this.convertValue(this.min+this.range*this.random())}}]),e}();var bf=hs({randomGamma_:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:1,r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:"float32",a=arguments.length>4?arguments[4]:void 0;if(null==n&&(n=1),null==r&&(r="float32"),"float32"!==r&&"int32"!==r)throw new Error("Unsupported data type ".concat(r));for(var i=new gf(t,n,r,a),o=xu(e,r),s=0;s<o.values.length;s++)o.values[s]=i.nextValue();return o.toTensor()}});var xf=hs({randomNormal_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:0,n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:1,r=arguments.length>3?arguments[3]:void 0,a=arguments.length>4?arguments[4]:void 0;if(null!=r&&"bool"===r)throw new Error("Unsupported data type ".concat(r));for(var i=new mf(t,n,r,!1,a),o=xu(e,r),s=0;s<o.values.length;s++)o.values[s]=i.nextValue();return o.toTensor()}});var kf=hs({randomUniform_:function(e){for(var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:0,n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:1,r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:"float32",a=arguments.length>4?arguments[4]:void 0,i=xu(e,r),o=new yf(t,n,null,a),s=0;s<i.values.length;s++)i.values[s]=o.nextValue();return i.toTensor()}});function wf(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:1,r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:"float32";if(0===n)throw new Error("Cannot have a step of zero");var a={start:e,stop:t,step:n,dtype:r};return $o.runKernel(Ca,{},a)}var Sf=hs({real_:function(e){var t={input:us(e,"input","real")};return $o.runKernel(Ea,t)}});var Nf=hs({reciprocal_:function(e){var t={x:us(e,"x","reciprocal")};return $o.runKernel(_a,t)}});var If=hs({relu_:function(e){var t={x:us(e,"x","relu")};return $o.runKernel(Aa,t)}});var Tf=hs({relu6_:function(e){var t={x:us(e,"x","relu6")};return $o.runKernel(La,t)}});var Cf=hs({reverse_:function(e,t){var n={x:us(e,"x","reverse")},r={dims:t};return $o.runKernel(Pa,n,r)}});var Ef=hs({reverse1d_:function(e){var t=us(e,"x","reverse");return Ct(1===t.rank,(function(){return"Error in reverse1D: x must be rank 1 but got rank ".concat(t.rank,".")})),Cf(t,0)}});var _f=hs({reverse2d_:function(e,t){var n=us(e,"x","reverse");return Ct(2===n.rank,(function(){return"Error in reverse2D: x must be rank 2 but got rank ".concat(n.rank,".")})),Cf(n,t)}});var Af=hs({reverse3d_:function(e,t){var n=us(e,"x","reverse");return Ct(3===n.rank,(function(){return"Error in reverse3D: x must be rank 3 but got rank ".concat(n.rank,".")})),Cf(n,t)}});var Rf=hs({reverse4d_:function(e,t){var n=us(e,"x","reverse");return Ct(4===n.rank,(function(){return"Error in reverse4D: x must be rank 4 but got rank ".concat(n.rank,".")})),Cf(n,t)}});var Df=hs({round_:function(e){var t={x:us(e,"x","round")};return $o.runKernel(za,t)}});var Mf=hs({rsqrt_:function(e){var t={x:us(e,"x","rsqrt","float32")};return $o.runKernel(Ba,t)}});var Of=hs({selu_:function(e){var t={x:us(e,"x","selu")};return $o.runKernel(ja,t)}});var Ff=hs({separableConv2d_:function(e,t,n,r,a){var i=arguments.length>5&&void 0!==arguments[5]?arguments[5]:[1,1],o=arguments.length>6&&void 0!==arguments[6]?arguments[6]:"NHWC",s=us(e,"x","separableConv2d"),u=us(t,"depthwiseFilter","separableConv2d"),c=us(n,"pointwiseFilter","separableConv2d"),l=s,h=!1;if(3===s.rank&&(h=!0,l=dh(s,[1,s.shape[0],s.shape[1],s.shape[2]])),"NCHW"===o)throw new Error("separableConv2d currently does not support dataFormat NCHW; only NHWC is supported");Ct(4===l.rank,(function(){return"Error in separableConv2d: input must be rank 4, but got "+"rank ".concat(l.rank,".")})),Ct(4===u.rank,(function(){return"Error in separableConv2d: depthwise filter must be rank 4, but "+"got rank 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$o.runKernel(xi,i,o)}});var dp=hs({unstack_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:0,n=us(e,"x","unstack","string_or_numeric");Ct(t>=-n.shape.length&&t<n.shape.length,(function(){return"Axis = ".concat(t," is not in [-").concat(n.shape.length,", ").concat(n.shape.length,")")}));var r={value:n},a={axis:t};return $o.runKernel(bi,r,a)}});function fp(e){var t=!(arguments.length>1&&void 0!==arguments[1])||arguments[1],n=arguments.length>2?arguments[2]:void 0,r=arguments.length>3?arguments[3]:void 0;return $o.makeVariable(e,t,n,r)}function pp(e,t){for(var n=[],r=0;r<t.length;r++)t[r]&&n.push(r);for(var a=xu(e,"int32"),i=xu([n.length,e.length],"int32"),o=0;o<n.length;o++){var s=a.indexToLoc(n[o]),u=o*e.length;i.values.set(s,u)}return i.toTensor()}function vp(){return(vp=Fe(Pe().mark((function e(t){var n,r,a;return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return n=us(t,"condition","whereAsync","bool"),e.next=3,n.data();case 3:return 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n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:null;if(0===e.rank)return Rl(e);if(1!==e.rank&&null===n)return bp(dh(e,[-1]),t,n);if(1===e.rank||"number"===typeof n||Array.isArray(n)&&1===n.length){if(1===t)return Td(Rl(e),n);if(t===1/0)return Id(Rl(e),n);if(t===-1/0)return Xd(Rl(e),n);if("euclidean"===t||2===t)return fl(Td(El(Rl(e),Sl(2,"int32")),n));throw new Error("Error in norm: invalid ord value: ".concat(t))}if(Array.isArray(n)&&2===n.length){if(1===t)return Id(Td(Rl(e),n[0]),n[1]-1);if(t===1/0)return Id(Td(Rl(e),n[1]),n[0]);if(t===-1/0)return Xd(Td(Rl(e),n[1]),n[0]);if("fro"===t||"euclidean"===t)return fl(Td(pl(e),n));throw new Error("Error in norm: invalid ord value: ".concat(t))}throw new Error("Error in norm: invalid axis: ".concat(n))}var xp=hs({norm_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"euclidean",n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:null,r=arguments.length>3&&void 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n=us(t,"indices","gatherND","int32"),r={params:us(e,"x","gatherND","string_or_numeric"),indices:n};return $o.runKernel(Mr,r)}});var Tp=hs({dropout_:function(e,t,n,r){var a=us(e,"x","dropout");if(Ct("float32"===a.dtype,(function(){return"x has to be a floating point tensor since it's going to be "+"scaled, but got a ".concat(a.dtype," tensor instead.")})),Ct(t>=0&&t<1,(function(){return"rate must be a float in the range [0, 1), but got ".concat(t,".")})),0===t)return e instanceof Ro?a.clone():a;var i=function(e,t){if(null==t)return e.shape.slice();if(Mt(e.shape,t))return t;if(e.shape.length===t.length){for(var n=[],r=0;r<e.shape.length;r++)null==t[r]&&null!=e.shape[r]?n.push(e.shape[r]):n.push(t[r]);return n}return t}(a,n),o=1-t,s=hl(sd(cl(kf(i,0,1,"float32",r),o)),o);return dl(a,s)}});function Cp(e){return Math.floor(Math.pow(2,Math.ceil(Math.log(e)/Math.log(2))))}function Ep(e,t,n){for(var r=1-e%2,a=new Float32Array(e),i=0;i<e;++i){var o=2*Math.PI*i/(e+r-1);a[i]=t-n*Math.cos(o)}return rp(a,"float32")}function _p(){return _p=Fe(Pe().mark((function e(t,n){var r,a,i,o,s,u,c,l,h,d,f,p,v,m,g,y=arguments;return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return r=y.length>2&&void 0!==y[2]?y[2]:1,a=us(t,"predictions","inTopK"),i=us(n,"targets","inTopK"),Ct(a.rank>1,(function(){return"inTopK() expects the predictions to be of rank 2 or higher, "+"but got ".concat(a.rank)})),Ct(a.rank-1===i.rank,(function(){return"predictions rank should be 1 larger than targets rank, but got predictions rank "+"".concat(a.rank," and targets rank ").concat(i.rank)})),Et(a.shape.slice(0,a.shape.length-1),i.shape,"predictions's shape should be align with the targets' shape, except the last dimension."),o=a.shape[a.shape.length-1],Ct(r>0&&r<=o,(function(){return"'k' passed to inTopK() must be > 0 && <= the predictions last "+"dimension (".concat(o,"), but got ").concat(r)})),e.next=10,a.data();case 10:return s=e.sent,e.next=13,i.data();case 13:u=e.sent,c=s.length/o,l=o,h=Ut("bool",c),d=0;case 17:if(!(d<c)){e.next=35;break}for(f=d*l,p=s.subarray(f,f+l),v=[],m=0;m<p.length;m++)v.push({value:p[m],index:m});v.sort((function(e,t){return t.value-e.value})),h[d]=0,g=0;case 25:if(!(g<r)){e.next=32;break}if(v[g].index!==u[d]){e.next=29;break}return h[d]=1,e.abrupt("break",32);case 29:g++,e.next=25;break;case 32:d++,e.next=17;break;case 35:return t!==a&&a.dispose(),n!==i&&i.dispose(),e.abrupt("return",ps(h,i.shape,"bool"));case 38:case"end":return e.stop()}}),e)}))),_p.apply(this,arguments)}var Ap=function(e,t){return _p.apply(this,arguments)};var Rp=hs({conv2DBackpropFilter_:function(e,t,n,r,a){var i=arguments.length>5&&void 0!==arguments[5]?arguments[5]:"NHWC",o=arguments.length>6?arguments[6]:void 0,s=e;3===e.rank&&(s=dh(e,[1,e.shape[0],e.shape[1],e.shape[2]]));var u=t;3===u.rank&&(u=dh(t,[1,t.shape[0],t.shape[1],t.shape[2]])),Ct(4===s.rank,(function(){return"Error in conv2dDerFilter: input must be rank 4, but got shape 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r.length>0&&(n=Td(n,r)),dh(n,e.shape)}function Op(e,t,n,r){if("linear"===t)return e;if("relu"===t)return If(e);if("elu"===t)return ed(e);if("relu6"===t)return Tf(e);if("prelu"===t)return df(e,n);if("leakyrelu"===t)return vd(e,r);if("sigmoid"===t)return mh(e);throw new Error("Unknown fused activation ".concat(t,"."))}var Fp=function(e,t){return!(e>0)||"linear"===t};var Lp=hs({fusedConv2d_:function(e){var t=e.x,n=e.filter,r=e.strides,a=e.pad,i=e.dataFormat,o=void 0===i?"NHWC":i,s=e.dilations,u=void 0===s?[1,1]:s,c=e.dimRoundingMode,l=e.bias,h=e.activation,d=void 0===h?"linear":h,f=e.preluActivationWeights,p=e.leakyreluAlpha;if(d=d||"linear",!1===Fp($o.state.gradientDepth,d)){var v=Oh(t,n,r,a,o,u,c);return null!=l&&(v=cl(v,l)),Op(v,d,f,p)}var m=us(t,"x","conv2d","float32"),g=us(n,"filter","conv2d","float32"),y=m,b=!1;3===m.rank&&(b=!0,y=dh(m,[1,m.shape[0],m.shape[1],m.shape[2]])),Ct(4===y.rank,(function(){return"Error in fused conv2d: input must be rank 4, but got rank "+"".concat(y.rank,".")})),Ct(4===g.rank,(function(){return"Error in fused conv2d: filter must be rank 4, but got rank "+"".concat(g.rank,".")})),hh("fused conv2d",a,c),Ct(y.shape[3]===g.shape[2],(function(){return"Error in conv2d: depth of input (".concat(y.shape[3],") must match ")+"input depth for filter ".concat(g.shape[2],".")})),Ct(ch(r,u),(function(){return"Error in conv2D: Either strides or dilations must be 1. 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matMul"),p=us(n,"b","fused matMul"),v=G(jo(f,p),2);f=v[0],p=v[1];var m=a?f.shape[f.rank-2]:f.shape[f.rank-1],g=o?p.shape[p.rank-1]:p.shape[p.rank-2],y=a?f.shape[f.rank-1]:f.shape[f.rank-2],b=o?p.shape[p.rank-2]:p.shape[p.rank-1],x=f.shape.slice(0,-2),k=p.shape.slice(0,-2),w=Rt(x),S=Rt(k);Ct(m===g,(function(){return"Error in fused matMul: inner shapes (".concat(m,") and (")+"".concat(g,") of Tensors with shapes ").concat(f.shape," and ")+"".concat(p.shape," and transposeA=").concat(a)+" and transposeB=".concat(o," must match.")}));var N,I,T=Ju(f.shape.slice(0,-2),p.shape.slice(0,-2)).concat([y,b]),C=dh(f,a?[w,m,y]:[w,y,m]),E=dh(p,o?[S,b,g]:[S,g,b]);null!=s&&(N=G(jo(N=us(s,"bias","fused matMul"),f),1)[0],Ju(T,N.shape)),null!=l&&(I=us(l,"prelu weights","fused matMul"));var _=function(e,t){var n,r,i=G(t,4),u=i[0],l=i[1],h=i[2],d=i[3],f=Dp(dh(e,h.shape),h,c);return a||o?!a&&o?(n=Hu(f,l,!1,!1),r=Hu(f,u,!0,!1)):a&&!o?(n=Hu(l,f,!1,!0),r=Hu(u,f,!1,!1)):(n=Hu(l,f,!0,!0),r=Hu(f,u,!0,!0)):(n=Hu(f,l,!1,!0),r=Hu(u,f,!0,!1)),null!=s?[n,r,Mp(d,f)]:[n,r]},A={a:C,b:E,bias:N,preluActivationWeights:I},R={transposeA:a,transposeB:o,activation:c,leakyreluAlpha:h};if(null==s){var D=kl((function(e,t,n){var r=$o.runKernel(Ii,A,R);return n([e,t,r]),{value:dh(r,T),gradFunc:_}}));return D(C,E)}var M=kl((function(e,t,n,r){var a=$o.runKernel(Ii,A,R);return r([e,t,a,n]),{value:dh(a,T),gradFunc:_}}));return M(C,E,N)}});var Vp=hs({hammingWindow_:function(e){return Ep(e,.54,.46)}});var jp=hs({hannWindow_:function(e){return Ep(e,.5,.5)}});var Up=hs({frame_:function(e,t,n){for(var r=arguments.length>3&&void 0!==arguments[3]&&arguments[3],a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:0,i=0,o=[];i+t<=e.size;)o.push(gh(e,i,t)),i+=n;if(r)for(;i<e.size;){var s=i+t-e.size,u=vh([gh(e,i,t-s),Tl([s],a)]);o.push(u),i+=n}return 0===o.length?ap([],[0,t]):dh(vh(o),[o.length,t])}});var Hp=hs({stft_:function(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:jp;null==r&&(r=Cp(t));var i=Up(e,t,n),o=dl(i,a(t));return Qf(o,r)}});var Gp=hs({cropAndResize_:function(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:"bilinear",i=arguments.length>5&&void 0!==arguments[5]?arguments[5]:0,o=us(e,"image","cropAndResize"),s=us(t,"boxes","cropAndResize","float32"),u=us(n,"boxInd","cropAndResize","int32"),c=s.shape[0];Ct(4===o.rank,(function(){return"Error in cropAndResize: image must be rank 4,"+"but got rank ".concat(o.rank,".")})),Ct(2===s.rank&&4===s.shape[1],(function(){return"Error in cropAndResize: boxes must be have size [".concat(c,",4] ")+"but had shape ".concat(s.shape,".")})),Ct(1===u.rank&&u.shape[0]===c,(function(){return"Error in cropAndResize: boxInd must be have size [".concat(c,"] ")+"but had shape ".concat(s.shape,".")})),Ct(2===r.length,(function(){return"Error in cropAndResize: cropSize must be of length 2, but got "+"length ".concat(r.length,".")})),Ct(r[0]>=1&&r[1]>=1,(function(){return"cropSize must be atleast [1,1], but was ".concat(r)})),Ct("bilinear"===a||"nearest"===a,(function(){return"method must be bilinear or nearest, but was ".concat(a)}));var l={image:o,boxes:s,boxInd:u},h={method:a,extrapolationValue:i,cropSize:r},d=$o.runKernel(sr,l,h);return d}});var qp=hs({flipLeftRight_:function(e){var t=us(e,"image","flipLeftRight","float32");Ct(4===t.rank,(function(){return"Error in flipLeftRight: image must be rank 4,"+"but got rank ".concat(t.rank,".")}));var n={image:t};return $o.runKernel(Er,n,{})}});var Kp=hs({grayscaleToRGB_:function(e){var t=us(e,"image","grayscaleToRGB"),n=t.rank-1,r=t.shape[n];Ct(t.rank>=2,(function(){return"Error in grayscaleToRGB: images must be at least rank 2, "+"but got rank ".concat(t.rank,".")})),Ct(1===r,(function(){return"Error in grayscaleToRGB: last dimension of a grayscale image "+"should be size 1, but got size ".concat(r,".")}));var a=new Array(t.rank);return a.fill(1,0,n),a[n]=3,id(t,a)}});var Xp=hs({rotateWithOffset_:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:0,r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:.5,a=us(e,"image","rotateWithOffset","float32");Ct(4===a.rank,(function(){return"Error in rotateWithOffset: image must be rank 4,"+"but got rank ".concat(a.rank,".")}));var i={image:a},o={radians:t,fillValue:n,center:r},s=$o.runKernel(Ni,i,o);return s}});function Yp(e,t,n,r,a,i){null==r&&(r=.5),null==a&&(a=Number.NEGATIVE_INFINITY),null==i&&(i=0);var o=e.shape[0];return n=Math.min(n,o),Ct(0<=r&&r<=1,(function(){return"iouThreshold must be in [0, 1], but was '".concat(r,"'")})),Ct(2===e.rank,(function(){return"boxes must be a 2D tensor, but was of rank '".concat(e.rank,"'")})),Ct(4===e.shape[1],(function(){return"boxes must have 4 columns, but 2nd dimension was ".concat(e.shape[1])})),Ct(1===t.rank,(function(){return"scores must be a 1D tensor"})),Ct(t.shape[0]===o,(function(){return"scores has incompatible shape with boxes. Expected ".concat(o,", ")+"but was ".concat(t.shape[0])})),Ct(0<=i&&i<=1,(function(){return"softNmsSigma must be in [0, 1], but was '".concat(i,"'")})),{maxOutputSize:n,iouThreshold:r,scoreThreshold:a,softNmsSigma:i}}var Qp=hs({nonMaxSuppression_:function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:.5,a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:Number.NEGATIVE_INFINITY,i=us(e,"boxes","nonMaxSuppression","float32"),o=us(t,"

2c=u.maxOutputSize,l=u.iouThreshold,h=u.scoreThreshold,d={boxes:o,scores:s},f={maxOutputSize:c,iouThreshold:l,scoreThreshold:h,padToMaxOutputSize:i},p=$o.runKernel(ga,d,f);return{selectedIndices:p[0],validOutputs:p[1]}}});function dv(){return dv=Fe(Pe().mark((function e(t,n,r){var a,i,o,s,u,c,l,h,d,f,p,v,m,g,y,b,x=arguments;return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return a=x.length>3&&void 0!==x[3]?x[3]:.5,i=x.length>4&&void 0!==x[4]?x[4]:Number.NEGATIVE_INFINITY,o=x.length>5&&void 0!==x[5]&&x[5],s=us(t,"boxes","nonMaxSuppressionAsync"),u=us(n,"scores","nonMaxSuppressionAsync"),c=Yp(s,u,r,a,i,null),l=c.maxOutputSize,h=c.iouThreshold,d=c.scoreThreshold,e.next=11,Promise.all([s.data(),u.data()]);case 11:return f=e.sent,p=G(f,2),v=p[0],m=p[1],g=ev(v,m,l,h,d,o),y=g.selectedIndices,b=g.validOutputs,s!==t&&s.dispose(),u!==n&&u.dispose(),e.abrupt("return",{selectedIndices:rp(y,"int32"),validOutputs:Sl(b,"int32")});case 19:case"end":return e.stop()}}),e)}))),dv.apply(this,arguments)}var fv=function(e,t,n){return dv.apply(this,arguments)};function pv(e){return V(e)||ht(e)||U(e)||H()}var vv=hs({resizeBilinear_:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]&&arguments[2],r=arguments.length>3&&void 0!==arguments[3]&&arguments[3],a=us(e,"images","resizeBilinear");Ct(3===a.rank||4===a.rank,(function(){return"Error in resizeBilinear: x must be rank 3 or 4, but got "+"rank ".concat(a.rank,".")})),Ct(2===t.length,(function(){return"Error in resizeBilinear: new shape must 2D, but got shape "+"".concat(t,".")})),Ct(!1===r||!1===n,(function(){return"Error in resizeBilinear: If halfPixelCenters is true, alignCorners must be false."}));var i=a,o=!1;3===a.rank&&(o=!0,i=dh(a,[1,a.shape[0],a.shape[1],a.shape[2]])),pv(t);var s={images:i},u={alignCorners:n,halfPixelCenters:r,size:t},c=$o.runKernel(Oa,s,u);return o?dh(c,[c.shape[1],c.shape[2],c.shape[3]]):c}});var mv=hs({resizeNearestNeighbor_:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]&&arguments[2],r=arguments.length>3&&void 0!==arguments[3]&&arguments[3],a=us(e,"images","resizeNearestNeighbor");Ct(3===a.rank||4===a.rank,(function(){return"Error in resizeNearestNeighbor: x must be rank 3 or 4, but got "+"rank ".concat(a.rank,".")})),Ct(2===t.length,(function(){return"Error in resizeNearestNeighbor: new shape must 2D, but got shape "+"".concat(t,".")})),Ct("float32"===a.dtype||"int32"===a.dtype,(function(){return"`images` must have `int32` or `float32` as dtype"})),Ct(!1===r||!1===n,(function(){return"Error in resizeNearestNeighbor: If halfPixelCenters is true, alignCorners must be false."}));var i=a,o=!1;3===a.rank&&(o=!0,i=dh(a,[1,a.shape[0],a.shape[1],a.shape[2]])),pv(t);var s={images:i},u={alignCorners:n,halfPixelCenters:r,size:t},c=$o.runKernel(Da,s,u);return o?dh(c,[c.shape[1],c.shape[2],c.shape[3]]):c}});function gv(e,t){for(var n,r,a,i,o,s,u=rp([-1]),c=rp([0]),l=rp([0]),h=0;h<e.size-1;h++){n=gh(e,0,h+1),r=gh(e,h+1),o=hl(Td(n),t),s=hl(Td(r),t);var d=Td(dl(n,wf(0,n.size)));a=hl(d,Td(n));var f=Tl(r.shape,n.size),p=cl(wf(0,r.size),f),v=dl(r,p);i=hl(Td(v),Td(r));var m=_l(a,i),g=_l(a,i),y=dl(o,s);l=dl(dl(y,m),g);var b=cd(l,c);c=Qh(b,l,c),u=Qh(b,rp([h]),u)}return u}var yv=hs({threshold_:function(e){var t,n,r,a,i=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"binary",o=arguments.length>2&&void 0!==arguments[2]&&arguments[2],s=arguments.length>3&&void 0!==arguments[3]?arguments[3]:.5,u=us(e,"image","threshold"),c=.2989,l=.587,h=.114,d=u.shape[0]*u.shape[1],f=dl(rp([s]),255);if(Ct(3===u.rank,(function(){return"Error in threshold: image must be rank 3,"+"but got rank ".concat(u.rank,".")})),Ct(3===u.shape[2]||1===u.shape[2],(function(){return"Error in threshold: image color channel must be equal to 3 or 1"+"but got ".concat(u.shape[2],".")})),Ct("int32"===u.dtype||"float32"===u.dtype,(function(){return"Error in dtype: image dtype must be int32 or float32,"+"but got dtype ".concat(u.dtype,".")})),Ct("otsu"===i||"binary"===i,(function(){return"Method must be binary or otsu, but was ".concat(i)})),3===u.shape[2]){var p=Yf(u,[1,1,1],-1),v=G(p,3);t=v[0],n=v[1],r=v[2];var m=dl(t,c),g=dl(n,l),y=dl(r,h);a=cl(cl(m,g),y)}else a=e;if("otsu"===i){var b=Ih(ku(Df(a),"int32"),ps([]),256);f=gv(b,d)}var x=o?gd(a,f):cd(a,f),k=ku(dl(x,255),"int32");return k}});var bv=hs({transform_:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:"nearest",r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:"constant",a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:0,i=arguments.length>5?arguments[5]:void 0,o=us(e,"image","transform","float32"),s=us(t,"transforms","transform","float32");Ct(4===o.rank,(function(){return"Error in transform: image must be rank 4,"+"but got rank 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Error("bandPart(): numUpper (".concat(n,")")+" must not be greater than the number of columns (".concat(s,")."));t<0&&(t=o),n<0&&(n=s);var u=dh(wf(0,o,1,"int32"),[-1,1]),c=wf(0,s,1,"int32"),l=_l(u,c),h=Pd(gd(l,Sl(+t,"int32")),ld(l,Sl(-n,"int32"))),d=Gd([o,s],r.dtype);return dh($f(dp(dh(r,[-1,o,s])).map((function(e){return Qh(h,e,d)}))),a)}});var kv=hs({gramSchmidt_:function(e){var t;Array.isArray(e)?function(){t=!1,Ct(null!=e&&e.length>0,(function(){return"Gram-Schmidt process: input must not be null, undefined, or empty"}));for(var n=e[0].shape[0],r=function(t){Ct(e[t].shape[0]===n,(function(){return"Gram-Schmidt: Non-unique lengths foun

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a=us(e,"indices","sparseFillEmptyRows","int32"),i=us(t,"values","sparseFillEmptyRows"),o=us(n,"denseShape","sparseFillEmptyRows","int32"),s=us(r,"defaultValue","sparseFillEmptyRows",i.dtype);if(2!==a.rank)throw new Error("Indices should be Tensor2D but received shape\n        ".concat(a.shape));if(1!==i.rank)throw new Error("Values should be Tensor1D but received shape ".concat(i.shape));if(1!==o.rank)throw new Error("Dense shape should be Tensor1D but received shape ".concat(o.shape));if(0!==s.rank)throw new Error("Default value should be a scalar but received shape ".concat(s.shape));var u={indices:a,values:i,denseShape:o,defaultValue:s},c=$o.runKernel(ei,u);return{outputIndices:c[0],outputValues:c[1],emptyRowIndicator:c[2],reverseIndexMap:c[3]}}});var Pv=hs({sparseReshape_:function(e,t,n){var r=us(e,"inputIndices","sparseReshape","int32"),a=us(t,"inputShape","sparseReshape","int32"),i=us(n,"newShape","sparseReshape","int32");if(2!==r.rank)throw new Error("Input indices should be 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r=us(e,"data","sparseSegmentSum"),a=us(t,"indices","sparseSegmentSum","int32"),i=us(n,"segmentIds","sparseSegmentSum","int32");if(r.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(1!==a.rank)throw new Error("Indices should be Tensor1D but received shape\n         ".concat(a.shape));if(1!==i.rank)throw new Error("Segment ids should be Tensor1D but received shape\n         ".concat(i.shape));var o={data:r,indices:a,segmentIds:i};return $o.runKernel(ri,o)}});var Wv=hs({stringNGrams_:function(e,t,n,r,a,i,o,s){var u=us(e,"data","stringNGrams","string");if("string"!==u.dtype)throw new Error("Data must be of datatype string");if(1!==u.shape.length)throw new Error("Data must be a vector, saw: ".concat(u.shape));var c=us(t,"dataSplits","stringNGrams");if("int32"!==c.dtype)throw new Error("Data splits must be of datatype int32");var l={separator:n,nGramWidths:r,leftPad:a,rightPad:i,padWidth:o,preserveShortSequences:s},h={data:u,dataSplits:c},d=$o.runKernel(ui,h,l);return{nGrams:d[0],nGramsSplits:d[1]}}});var Vv=hs({stringSplit_:function(e,t){var n=!(arguments.length>2&&void 0!==arguments[2])||arguments[2],r=us(e,"input","stringSplit","string"),a=us(t,"delimiter","stringSplit","string");if(1!==r.rank)throw new Error("Input should be Tensor1D but received shape ".concat(r.shape));if(0!==a.rank)throw new Error("Delimiter should be a scalar but received shape ".concat(a.shape));var i={skipEmpty:n},o={input:r,delimiter:a},s=$o.runKernel(ci,o,i);return{indices:s[0],values:s[1],shape:s[2]}}});var jv=hs({stringToHashBucketFast_:function(e,t){var n=us(e,"input","stringToHashBucketFast","string"),r={numBuckets:t};if(t<=0)throw new Error("Number of buckets must be at least 1");var a={input:n};return 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ng(e,this.tensorMap,this.context)}},{key:"getAttr",value:function(e,t){var n=this.node.rawAttrs[e];if(null!=n.tensor)return ng(e,this.tensorMap,this.context);if(null!=n.i||null!=n.f)return Rg(this.node.rawAttrs,e,t);if(null!=n.s)return _g(this.node.rawAttrs,e,t);if(null!=n.b)return Ag(this.node.rawAttrs,e,t);if(null!=n.shape)return Pg(this.node.rawAttrs,e,t);if(null!=n.type)return Og(this.node.rawAttrs,e,t);if(null!=n.list){if(null!=n.list.i||null!=n.list.f)return zg(this.node.rawAttrs,e,t);if(null!=n.list.s)return Bg(this.node.rawAttrs,e,t);if(null!=n.list.shape)return Wg(this.node.rawAttrs,e,t);if(null!=n.list.b)return Vg(this.node.rawAttrs,e,t);if(null!=n.list.type)return Fg(this.node.rawAttrs,e,t)}return t}}]),e}();function Ug(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:"";if("number"!==typeof e&&"number"!==typeof t){Ct(e.length===t.length,(function(){return n+" Shapes ".concat(e," and ").concat(t," must match")}));for(var r=0;r<e.length;r++){var a=e[r],i=t[r];Ct(a<0||i<0||a===i,(function(){return n+" Shapes ".concat(e," and ").concat(t," must match")}))}}}function Hg(e){return"number"!==typeof e&&!e.some((function(e){return e<0}))}function Gg(e,t,n){var r=qg(e,n),a=!Hg(r);if(a&&0===t.length)throw new Error("Tried to calculate elements of an empty list"+" with non-fully-defined elementShape: ".concat(r));if(a&&t.forEach((function(e){r=qg(e.shape,r)})),!Hg(r))throw new Error("Non-fully-defined elementShape: ".concat(r));return r}function qg(e,t){if("number"===typeof e)return t;if("number"===typeof t)return e;if(e.length!==t.length)throw new Error("Incompatible ranks during merge: ".concat(e," vs. ").concat(t));for(var n=[],r=0;r<e.length;++r){var a=e[r],i=t[r];if(a>=0&&i>=0&&a!==i)throw new Error("Incompatible shape during merge: ".concat(e," vs. ").concat(t));n[r]=a>=0?a:i}return n}var Kg=function(){function e(t,n,r,a,i,o,s){ft(this,e),this.name=t,this.dtype=n,this.maxSize=r,this.elementShape=a,this.identicalElementShapes=i,this.dynamicSize=o,this.clearAfterRead=s,this.tensors=[],this.closed_=!1,this.idTensor=Sl(0),Zc(this.idTensor)}return vt(e,[{key:"id",get:function(){return this.idTensor.id}},{key:"closed",get:function(){return this.closed_}},{key:"clearAndClose",value:function(e){this.tensors.forEach((function(t){null!=e&&e.has(t.tensor.id)||t.tensor.dispose()})),this.tensors=[],this.closed_=!0,this.idTensor.dispose()}},{key:"size",value:function(){return this.tensors.length}},{key:"read",value:function(e){if(this.closed_)throw new Error("TensorArray ".concat(this.name," has already been closed."));if(e<0||e>=this.size())throw new Error("Tried to read from index ".concat(e,", but array size is: ").concat(this.size()));var t=this.tensors[e];if(t.cleared)throw new Error("TensorArray ".concat(this.name,": Could not read index ").concat(e," twice because it was cleared after a previous read ")+"(perhaps try setting clear_after_read = false?).");return this.clearAfterRead&&(t.cleared=!0),t.read=!0,t.tensor}},{key:"readMany",value:function(e){var t=this;return e.map((function(e){return t.read(e)}))}},{key:"write",value:function(e,t){if(this.closed_)throw new Error("TensorArray ".concat(this.name," has already been closed."));if(e<0||!this.dynamicSize&&e>=this.maxSize)throw new Error("Tried to write to index ".concat(e,", but array is not resizeable and size is: ").concat(this.maxSize));var n=this.tensors[e]||{};if(t.dtype!==this.dtype)throw new Error("TensorArray ".concat(this.name,": Could not write to TensorArray index ").concat(e,",\n          because the value dtype is ").concat(t.dtype,", but TensorArray dtype is ").concat(this.dtype,"."));if(0!==this.size()||null!=this.elementShape&&0!==this.elementShape.length||(this.elementShape=t.shape),Ug(this.elementShape,t.shape,"TensorArray ".concat(this.name,": Could not write to TensorArray index ").concat(e,".")),n.read)throw new Error("TensorArray ".concat(this.name,": Could not write to TensorArray index ").concat(e,", because it has already been read."));if(n.written)throw new Error("TensorArray ".concat(this.name,": Could not write to TensorArray index ").concat(e,", because it has already been written."));n.tensor=t,Zc(t),n.written=!0,this.tensors[e]=n}},{key:"writeMany",value:function(e,t){var n=this;if(e.length!==t.length)throw new Error("TensorArray ".concat(this.name,": could not write multiple tensors,")+"because the index size: ".concat(e.length," is not the same as tensors size: ").concat(t.length,"."));e.forEach((function(e,r){return n.write(e,t[r])}))}},{key:"gather",value:function(e,t){if(t&&t!==this.dtype)throw new Error("TensorArray dtype is ".concat(this.dtype," but gather requested dtype ").concat(t));if(e)e=e.slice(0,this.size());else{e=[];for(var n=0;n<this.size();n++)e.push(n)}if(0===e.length)return ps([],[0].concat(this.elementShape));var r=this.readMany(e);return Ug(this.elementShape,r[0].shape,"TensorArray shape mismatch: "),$f(r,0)}},{key:"concat",value:function(e){if(e&&e!==this.dtype)throw new Error("TensorArray dtype is ".concat(this.dtype," but concat requested dtype ").concat(e));if(0===this.size())return ps([],[0].concat(this.elementShape));for(var t=[],n=0;n<this.size();n++)t.push(n);var r=this.readMany(t);return Ug(this.elementShape,r[0].shape,"TensorArray shape mismatch: tensor array shape (".concat(this.elementShape,") vs first tensor shape (").concat(r[0].shape,")")),vh(r,0)}},{key:"scatter",value:function(e,t){if(t.dtype!==this.dtype)throw new Error("TensorArray dtype is ".concat(this.dtype," but tensor has dtype ").concat(t.dtype));if(e.length!==t.shape[0])throw new Error("Expected len(indices) == tensor.shape[0], but saw: ".concat(e.length," vs. ").concat(t.shape[0]));var n=Math.max.apply(Math,dt(e));if(!this.dynamicSize&&n>=this.maxSize)throw new Error("Max index must be < array size (".concat(n,"  vs. 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0!==arguments[3]?arguments[3]:-1;ft(this,e),this.tensors=t,this.elementShape=n,this.elementDtype=r,null!=t&&t.forEach((function(e){if(r!==e.dtype)throw new Error("Invalid data types; op elements ".concat(r,", but list elements ").concat(e.dtype));Ug(n,e.shape,"TensorList shape mismatch: "),Zc(e)})),this.idTensor=Sl(0),this.maxNumElements=a,Zc(this.idTensor)}return vt(e,[{key:"id",get:function(){return this.idTensor.id}},{key:"copy",value:function(){return new e(dt(this.tensors),this.elementShape,this.elementDtype)}},{key:"clearAndClose",value:function(e){this.tensors.forEach((function(t){null!=e&&e.has(t.id)||t.dispose()})),this.tensors.length=0,this.idTensor.dispose()}},{key:"size",value:function(){return this.tensors.length}},{key:"stack",value:function(e,t){var n=this,r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:-1;if(t!==this.elementDtype)throw new Error("Invalid data types; op elements ".concat(t,", but list elements ").concat(this.elementDtype));if(-1!==r&&this.tensors.length!==r)throw new Error("Operation expected a list with ".concat(r," elements but got a list with ").concat(this.tensors.length," elements."));Ug(e,this.elementShape,"TensorList shape mismatch: ");var a=Gg(this.elementShape,this.tensors,e);return Qc((function(){var e=n.tensors.map((function(e){return dh(e,a)}));return $f(e,0)}))}},{key:"popBack",value:function(e,t){if(t!==this.elementDtype)throw new Error("Invalid data types; op elements ".concat(t,", but list elements ").concat(this.elementDtype));if(0===this.size())throw new Error("Trying to pop from an empty list.");var n=Gg(this.elementShape,this.tensors,e),r=this.tensors.pop();return Ug(r.shape,e,"TensorList shape mismatch: "),dh(r,n)}},{key:"pushBack",value:function(e){if(e.dtype!==this.elementDtype)throw new Error("Invalid data types; op elements ".concat(e.dtype,", but list elements ").concat(this.elementDtype));if(Ug(e.shape,this.elementShape,"TensorList shape mismatch: "),this.maxNumElements===this.size())throw new Error("Trying to push element into a full list.");Zc(e),this.tensors.push(e)}},{key:"resize",value:function(e){if(e<0)throw new Error("TensorListResize expects size to be non-negative. Got: ".concat(e));if(-1!==this.maxNumElements&&e>this.maxNumElements)throw new Error("TensorListResize input size ".concat(e," is greater maxNumElement ").concat(this.maxNumElements,"."));this.tensors.length=e}},{key:"getItem",value:function(e,t,n){if(n!==this.elementDtype)throw new Error("Invalid data types; op elements ".concat(n,", but list elements ").concat(this.elementDtype));if(e<0||e>this.tensors.length)throw new Error("Trying to access element ".concat(e," in a list with ").concat(this.tensors.length," elements."));if(null==this.tensors[e])throw new Error("element at index ".concat(e," is null."));Ug(this.tensors[e].shape,t,"TensorList shape mismatch: ");var r=Gg(this.elementShape,this.tensors,t);return dh(this.tensors[e],r)}},{key:"setItem",value:function(e,t){if(t.dtype!==this.elementDtype)throw new Error("Invalid data types; op elements ".concat(t.dtype,", but list elements ").concat(this.elementDtype));if(e<0||-1!==this.maxNumElements&&e>=this.maxNumElements)throw new Error("Trying to set element ".concat(e," in a list with max ").concat(this.maxNumElements," elements."));Ug(this.elementShape,t.shape,"TensorList shape mismatch: "),Zc(t),this.tensors[e]=t}},{key:"gather",value:function(e,t,n){var r=this;if(t!==this.elementDtype)throw new Error("Invalid data types; op elements ".concat(t,", but list elements ").concat(this.elementDtype));Ug(this.elementShape,n,"TensorList shape mismatch: "),e=e.slice(0,this.size());var a=Gg(this.elementShape,this.tensors,n);return 0===e.length?ps([],[0].concat(a)):Qc((function(){var t=e.map((function(e){return dh(r.tensors[e],a)}));return $f(t,0)}))}},{key:"concat",value:function(e,t){var n=this;if(e&&e!==this.elementDtype)throw new Error("TensorList dtype is ".concat(this.elementDtype," but concat requested dtype ").concat(e));Ug(this.elementShape,t,"TensorList shape mismatch: ");var r=Gg(this.elementShape,this.tensors,t);return 0===this.size()?ps([],[0].concat(r)):Qc((function(){var e=n.tensors.map((function(e){return dh(e,r)}));return vh(e,0)}))}}]),e}();function Yg(e,t,n){var r=e.dtype;if(e.shape.length<1)throw new Error("Tensor must be at least a vector, but saw shape: ".concat(e.shape));if(e.dtype!==n)throw new Error("Invalid data types; op elements ".concat(e.dtype,", but list elements ").concat(n));Ug(e.shape.slice(1),t,"TensorList shape mismatch: ");var a=dp(e);return new Xg(a,t,r)}function Qg(e,t,n){return new Xg([],e,t,n)}function Jg(e,t,n,r){if(t.length!==e.shape[0])throw new Error("Expected len(indices) == tensor.shape[0], but saw: ".concat(t.length," vs. ").concat(e.shape[0]));var a=Math.max.apply(Math,dt(t));if(null!=r&&-1!==r&&a>=r)throw new Error("Max index must be < array size (".concat(a,"  vs. ").concat(r,")"));var i=new Xg([],n,e.dtype,r),o=dp(e,0);return t.forEach((function(e,t){i.setItem(e,o[t])})),i}function Zg(e,t,n){var r=0,a=t.map((function(e){return r+=e}));if(r!==e.shape[0])throw new Error("Expected sum of lengths to be equal to\n        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0:e.t0=t.op,e.next="If"===e.t0||"StatelessIf"===e.t0?3:"While"===e.t0||"StatelessWhile"===e.t0?15:"LoopCond"===e.t0?19:"Switch"===e.t0?21:"Merge"===e.t0?32:"Enter"===e.t0?37:"Exit"===e.t0?41:"NextIteration"===e.t0?44:"TensorArrayV3"===e.t0?47:"TensorArrayWriteV3"===e.t0?57:"TensorArrayReadV3"===e.t0?63:"TensorArrayGatherV3"===e.t0?67:"TensorArrayScatterV3"===e.t0?72:"TensorArrayConcatV3"===e.t0?78:"TensorArraySplitV3"===e.t0?82:"TensorArraySizeV3"===e.t0?88:"TensorArrayCloseV3"===e.t0?91:"TensorListSetItem"===e.t0?95:"TensorListGetItem"===e.t0?101:"TensorListScatterV2"===e.t0||"TensorListScatter"===e.t0?107:"TensorListReserve"===e.t0||"EmptyTensorList"===e.t0?114:"TensorListGather"===e.t0?121:"TensorListStack"===e.t0?127:"TensorListFromTensor"===e.t0?133:"TensorListConcat"===e.t0?139:"TensorListPushBack"===e.t0?144:"TensorListPopBack"===e.t0?149:"TensorListSplit"===e.t0?154:160;break;case 3:return a=tg("thenBranch",t,n,r),i=tg("elseBranch",t,n,r),o=tg("cond",t,n,r),s=tg("args",t,n,r),e.next=9,o.data();case 9:if(!e.sent[0]){e.next=14;break}return e.abrupt("return",r.functionMap[a].executeFunctionAsync(s,r.tensorArrayMap,r.tensorListMap));case 14:return e.abrupt("return",r.functionMap[i].executeFunctionAsync(s,r.tensorArrayMap,r.tensorListMap));case 15:return e.delegateYield(Pe().mark((function e(){var a,i,o,s,u,c,l,h;return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return a=tg("body",t,n,r),i=tg("cond",t,n,r),o=tg("args",t,n,r),e.next=5,r.functionMap[i].executeFunctionAsync(o,r.tensorArrayMap,r.tensorListMap);case 5:return s=e.sent,u=o.map((function(e){return e.id})),e.next=9,s[0].data();case 9:c=e.sent,s.forEach((function(e){e.kept||-1!==u.indexOf(e.id)||e.dispose()})),l=o,h=Pe().mark((function e(){var t,n,o;return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=l,e.next=3,r.functionMap[a].executeFunctionAsync(l,r.tensorArrayMap,r.tensorListMap);case 3:return l=e.sent,n=l.map((function(e){return e.id})),t.forEach((function(e){e.kept||-1!==u.indexOf(e.id)||-1!==n.indexOf(e.id)||e.dispose()})),e.next=8,r.functionMap[i].executeFunctionAsync(l,r.tensorArrayMap,r.tensorListMap);case 8:return o=e.sent,e.next=11,o[0].data();case 11:c=e.sent,o.forEach((function(e){e.kept||-1!==u.indexOf(e.id)||-1!==n.indexOf(e.id)||e.dispose()}));case 13:case"end":return e.stop()}}),e)}));case 13:if(!c[0]){e.next=17;break}return e.delegateYield(h(),"t0",15);case 15:e.next=13;break;case 17:return e.abrupt("return",{v:l});case 18:case"end":return e.stop()}}),e)}))(),"t1",16);case 16:if("object"!==typeof(u=e.t1)){e.next=19;break}return e.abrupt("return",u.v);case 19:return c=tg("pred",t,n,r),e.abrupt("return",[sg(c)]);case 21:return l=tg("pred",t,n,r),(h=tg("data",t,n,r)).kept||(h=sg(h)),e.next=26,l.data();case 26:if(!e.sent[0]){e.next=30;break}e.t2=[void 0,h],e.next=31;break;case 30:e.t2=[h,void 0];case 31:return e.abrupt("return",e.t2);case 32:if(d=t.inputNames.find((function(e){return void 0!==ng(e,n,r)})),!d){e.next=36;break}return f=ng(d,n,r),e.abrupt("return",[sg(f)]);case 36:return e.abrupt("return",void 0);case 37:return p=tg("frameName",t,n,r),v=tg("tensor",t,n,r),r.enterFrame(p),e.abrupt("return",[sg(v)]);case 41:return m=tg("tensor",t,n,r),r.exitFrame(),e.abrupt("return",[sg(m)]);case 44:return g=tg("tensor",t,n,r),r.nextIteration(),e.abrupt("return",[sg(g)]);case 47:return y=tg("size",t,n,r),b=tg("dtype",t,n,r),x=tg("elementShape",t,n,r),k=tg("dynamicSize",t,n,r),w=tg("clearAfterRead",t,n,r),S=tg("identicalElementShapes",t,n,r),N=tg("name",t,n,r),I=new Kg(N,b,y,x,S,k,w),r.addTensorArray(I),e.abrupt("return",[I.idTensor,Sl(1)]);case 57:return T=tg("tensorArrayId",t,n,r),C=tg("index",t,n,r),E=tg("tensor",t,n,r),(_=r.getTensorArray(T.id)).write(C,E),e.abrupt("return",[_.idTensor]);case 63:return A=tg("tensorArrayId",t,n,r),R=tg("index",t,n,r),D=r.getTensorArray(A.id),e.abrupt("return",[D.read(R)]);case 67:return M=tg("tensorArrayId",t,n,r),O=tg("indices",t,n,r),F=tg("dtype",t,n,r),L=r.getTensorArray(M.id),e.abrupt("return",[L.gather(O,F)]);case 72:return P=tg("tensorArrayId",t,n,r),z=tg("indices",t,n,r),B=tg("tensor",t,n,r),(W=r.getTensorArray(P.id)).scatter(z,B),e.abrupt("return",[W.idTensor]);case 78:return V=tg("tensorArrayId",t,n,r),j=r.getTensorArray(V.id),U=tg("dtype",t,n,r),e.abrupt("return",[j.concat(U)]);case 82:return H=tg("tensorArrayId",t,n,r),G=tg("tensor",t,n,r),q=tg("lengths",t,n,r),(K=r.getTensorArray(H.id)).split(q,G),e.abrupt("return",[K.idTensor]);case 88:return X=tg("tensorArrayId",t,n,r),Y=r.getTensorArray(X.id),e.abrupt("return",[Sl(Y.size(),"int32")]);case 91:return Q=tg("tensorArrayId",t,n,r),(J=r.getTensorArray(Q.id)).clearAndClose(),e.abrupt("return",[J.idTensor]);case 95:return Z=tg("tensorListId",t,n,r),$=tg("index",t,n,r),ee=tg("tensor",t,n,r),(te=r.getTensorList(Z.id)).setItem($,ee),e.abrupt("return",[te.idTensor]);case 101:return ne=tg("tensorListId",t,n,r),re=tg("index",t,n,r),ae=tg("elementShape",t,n,r),ie=tg("elementDType",t,n,r),oe=r.getTensorList(ne.id),e.abrupt("return",[oe.getItem(re,ae,ie)]);case 107:return se=tg("indices",t,n,r),ue=tg("tensor",t,n,r),ce=tg("elementShape",t,n,r),le=tg("numElements",t,n,r),he=Jg(ue,se,ce,le),r.addTensorList(he),e.abrupt("return",[he.idTensor]);case 114:return de=tg("elementShape",t,n,r),fe=tg("elementDType",t,n,r),pe="TensorListReserve"===t.op?"numElements":"maxNumElements",ve=tg(pe,t,n,r),me=Qg(de,fe,ve),r.addTensorList(me),e.abrupt("return",[me.idTensor]);case 121:return ge=tg("tensorListId",t,n,r),ye=tg("indices",t,n,r),be=tg("elementShape",t,n,r),xe=tg("elementDType",t,n,r),ke=r.getTensorList(ge.id),e.abrupt("return",[ke.gather(ye,xe,be)]);case 127:return we=tg("tensorListId",t,n,r),Se=tg("elementShape",t,n,r),Ne=tg("elementDType",t,n,r),Ie=tg("numElements",t,n,r),Te=r.getTensorList(we.id),e.abrupt("return",[Te.stack(Se,Ne,Ie)]);case 133:return Ce=tg("tensor",t,n,r),Ee=tg("elementShape",t,n,r),_e=tg("elementDType",t,n,r),Ae=Yg(Ce,Ee,_e),r.addTensorList(Ae),e.abrupt("return",[Ae.idTensor]);case 139:return Re=tg("tensorListId",t,n,r),De=r.getTensorList(Re.id),Me=tg("dtype",t,n,r),Oe=tg("elementShape",t,n,r),e.abrupt("return",[De.concat(Me,Oe)]);case 144:return Fe=tg("tensorListId",t,n,r),Le=tg("tensor",t,n,r),(ze=r.getTensorList(Fe.id)).pushBack(Le),e.abrupt("return",[ze.idTensor]);case 149:return Be=tg("tensorListId",t,n,r),We=tg("elementShape",t,n,r),Ve=tg("elementDType",t,n,r),je=r.getTensorList(Be.id),e.abrupt("return",[je.popBack(We,Ve)]);case 154:return Ue=tg("tensor",t,n,r),He=tg("elementShape",t,n,r),Ge=tg("lengths",t,n,r),qe=Zg(Ue,Ge,He),r.addTensorList(qe),e.abrupt("return",[qe.idTensor]);case 160:throw TypeError("Node type ".concat(t.op," is not implemented"));case 161:case"end":return e.stop()}}),e)})));return function(t,n,r){return e.apply(this,arguments)}}();function ey(e,t,n){var r=G(tg("fusedOps",e,t,n),2),a=r[0],i=r[1],o="biasadd"===a,s=!o,u="prelu"===i,c="fusedbatchnorm"===a,l=tg("numArgs",e,t,n);if(o){if(u&&2!==l)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!u&&o&&1!==l)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 h=tg("strides",e,t,n),d=og(e,t,n),f=tg("dataFormat",e,t,n).toUpperCase(),p=tg("dilations",e,t,n),v=G(tg("args",e,t,n),2),m=v[0],g=v[1];return s&&(g=m,m=void 0),{stride:h,pad:d,dataFormat:f,dilations:p,biasArg:m,preluArg:g,activationFunc:i,leakyreluAlpha:tg("leakyreluAlpha",e,t,n)}}function ty(e,t,n){return{boxes:tg("boxes",e,t,n),scores:tg("scores",e,t,n),maxOutputSize:tg("maxOutputSize",e,t,n),iouThreshold:tg("iouThreshold",e,t,n),scoreThreshold:tg("scoreThreshold",e,t,n),softNmsSigma:tg("softNmsSigma",e,t,n)}}var ny=function(){var e=Fe(Pe().mark((function e(t,n,r){var a,i,o,s,u,c,l,h,d,f,p,v,m,g,y,b,x,k,w,S,N,I,T,C;return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:e.t0=t.op,e.next="NonMaxSuppressionV5"===e.t0?3:"NonMaxSuppressionV4"===e.t0?8:"NonMaxSuppressionV3"===e.t0||"NonMaxSuppressionV2"===e.t0?14:"Where"===e.t0?19:"ListDiff"===e.t0?26:27;break;case 3:return a=ty(t,n,r),i=a.boxes,o=a.scores,s=a.maxOutputSize,u=a.iouThreshold,c=a.scoreThreshold,l=a.softNmsSigma,e.next=6,Gv.nonMaxSuppressionWithScoreAsync(i,o,s,u,c,l);case 6:return h=e.sent,e.abrupt("return",[h.selectedIndices,h.selectedScores]);case 8:return d=ty(t,n,r),f=d.boxes,p=d.scores,v=d.maxOutputSize,m=d.iouThreshold,g=d.scoreThreshold,y=tg("padToMaxOutputSize",t,n,r),e.next=12,Gv.nonMaxSuppressionPaddedAsync(f,p,v,m,g,y);case 12:return b=e.sent,e.abrupt("return",[b.selectedIndices,b.validOutputs]);case 14:return x=ty(t,n,r),k=x.boxes,w=x.scores,S=x.maxOutputSize,N=x.iouThreshold,I=x.scoreThreshold,e.next=17,Gv.nonMaxSuppressionAsync(k,w,S,N,I);case 17:return e.t1=e.sent,e.abrupt("return",[e.t1]);case 19:return T=ku(tg("condition",t,n,r),"bool"),e.next=22,mp(T);case 22:return e.t2=e.sent,C=[e.t2],T.dispose(),e.abrupt("return",C);case 26:return e.abrupt("return",Pf(tg("x",t,n,r),tg("y",t,n,r)));case 27:throw TypeError("Node type ".concat(t.op," is not implemented"));case 28:case"end":return e.stop()}}),e)})));return function(t,n,r){return e.apply(this,arguments)}}(),ry=function(){function e(t,n){ft(this,e),this.keyDType=t,this.valueDType=n,this.handle=Sl(0),this.tensorMap=new Map,Zc(this.handle)}return vt(e,[{key:"id",get:function(){return this.handle.id}},{key:"clearAndClose",value:function(){this.tensorMap.forEach((function(e){return e.dispose()})),this.tensorMap.clear(),this.handle.dispose()}},{key:"size",value:function(){return this.tensorMap.size}},{key:"tensorSize",value:function(){return Sl(this.size(),"int32")}},{key:"import",value:function(){var e=Fe(Pe().mark((function e(t,n){var r,a=this;return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.checkKeyAndValueTensor(t,n),e.next=3,t.data();case 3:return r=e.sent,this.tensorMap.forEach((function(e){return e.dispose()})),this.tensorMap.clear(),e.abrupt("return",Qc((function(){var e=dp(n),t=r.length,i=e.length;Ct(t===i,(function(){return"The number of elements doesn't match, keys has "+"".concat(t," elements, the values has ").concat(i," ")+"elements."}));for(var o=0;o<t;o++){var s=r[o],u=e[o];Zc(u),a.tensorMap.set(s,u)}return a.handle})));case 7:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}()},{key:"find",value:function(){var e=Fe(Pe().mark((function e(t,n){var r,a=this;return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.checkKeyAndValueTensor(t,n),e.next=3,t.data();case 3:return r=e.sent,e.abrupt("return",Qc((function(){for(var e=[],t=0;t<r.length;t++){var i=r[t],o=a.findWithDefault(i,n);e.push(o)}return $f(e)})));case 5:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}()},{key:"findWithDefault",value:function(e,t){var n=this.tensorMap.get(e);return null!=n?n:t}},{key:"checkKeyAndValueTensor",value:function(e,t){if(e.dtype!==this.keyDType)throw new Error("Expect key dtype ".concat(this.keyDType,", but got ")+"".concat(e.dtype));if(t.dtype!==this.valueDType)throw new Error("Expect value dtype ".concat(this.valueDType,", but got ")+"".concat(t.dtype))}}]),e}(),ay=function(){var e=Fe(Pe().mark((function e(t,n,r,a){var i,o,s,u,c,l,h,d,f,p,v,m,g;return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:e.t0=t.op,e.next="HashTable"===e.t0||"HashTableV2"===e.t0?3:"Lo

2={0:"tench, Tinca tinca",1:"goldfish, Carassius auratus",2:"great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias",3:"tiger shark, Galeocerdo cuvieri",4:"hammerhead, hammerhead shark",5:"electric ray, crampfish, numbfish, torpedo",6:"stingray",7:"cock",8:"hen",9:"ostrich, Struthio camelus",10:"brambling, Fringilla montifringilla",11:"goldfinch, Carduelis carduelis",12:"house finch, linnet, Carpodacus mexicanus",13:"junco, snowbird",14:"indigo bunting, indigo finch, indigo bird, Passerina cyanea",15:"robin, American robin, Turdus migratorius",16:"bulbul",17:"jay",18:"magpie",19:"chickadee",20:"water ouzel, dipper",21:"kite",22:"bald eagle, American eagle, Haliaeetus leucocephalus",23:"vulture",24:"great grey owl, great gray owl, Strix nebulosa",25:"European fire salamander, Salamandra salamandra",26:"common newt, Triturus vulgaris",27:"eft",28:"spotted salamander, Ambystoma maculatum",29:"axolotl, mud puppy, Ambystoma mexicanum",30:"bullfrog, Rana catesbeiana",31:"tree frog, tree-frog",32:"tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui",33:"loggerhead, loggerhead turtle, Caretta caretta",34:"leatherback turtle, leatherback, leathery turtle, Dermochelys coriacea",35:"mud turtle",36:"terrapin",37:"box turtle, box tortoise",38:"banded gecko",39:"common iguana, iguana, Iguana iguana",40:"American chameleon, anole, Anolis carolinensis",41:"whiptail, whiptail lizard",42:"agama",43:"frilled lizard, Chlamydosaurus kingi",44:"alligator lizard",45:"Gila monster, Heloderma suspectum",46:"green lizard, Lacerta viridis",47:"African chameleon, Chamaeleo chamaeleon",48:"Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoensis",49:"African crocodile, Nile crocodile, Crocodylus niloticus",50:"American alligator, Alligator mississipiensis",51:"triceratops",52:"thunder snake, worm snake, Carphophis amoenus",53:"ringneck snake, ring-necked snake, ring snake",54:"hognose snake, puff adder, sand viper",55:"green snake, grass snake",56:"king snake, kingsnake",57:"garter snake, grass snake",58:"water snake",59:"vine snake",60:"night snake, Hypsiglena torquata",61:"boa constrictor, Constrictor constrictor",62:"rock python, rock snake, Python sebae",63:"Indian cobra, Naja naja",64:"green mamba",65:"sea snake",66:"horned viper, cerastes, sand viper, horned asp, Cerastes cornutus",67:"diamondback, diamondback rattlesnake, Crotalus adamanteus",68:"sidewinder, horned rattlesnake, Crotalus cerastes",69:"trilobite",70:"harvestman, daddy longlegs, Phalangium opilio",71:"scorpion",72:"black and gold garden spider, Argiope aurantia",73:"barn spider, Araneus cavaticus",74:"garden spider, Aranea diademata",75:"black widow, Latrodectus mactans",76:"tarantula",77:"wolf spider, hunting spider",78:"tick",79:"centipede",80:"black grouse",81:"ptarmigan",82:"ruffed grouse, partridge, Bonasa umbellus",83:"prairie chicken, prairie grouse, prairie fowl",84:"peacock",85:"quail",86:"partridge",87:"African grey, African gray, Psittacus erithacus",88:"macaw",89:"sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita",90:"lorikeet",91:"coucal",92:"bee eater",93:"hornbill",94:"hummingbird",95:"jacamar",96:"toucan",97:"drake",98:"red-breasted merganser, Mergus serrator",99:"goose",100:"black swan, Cygnus atratus",101:"tusker",102:"echidna, spiny anteater, anteater",103:"platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus",104:"wallaby, brush kangaroo",105:"koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus",106:"wombat",107:"jelly fish",108:"sea anemone, anemone",109:"brain coral",110:"flatworm, platyhelminth",111:"nematode, nematode worm, roundworm",112:"conch",113:"snail",114:"slug",115:"sea slug, nudibranch",116:"chiton, coat-of-mail shell, sea cradle, polyplacophore",117:"chambered nautilus, pearly nautilus, nautilus",118:"Dungeness crab, Cancer magister",119:"rock crab, Cancer irroratus",120:"fiddler crab",121:"king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica",122:"American lobster, Northern lobster, Maine lobster, Homarus americanus",123:"spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish",124:"crayfish, crawfish, crawdad, crawdaddy",125:"hermit crab",126:"isopod",127:"white stork, Ciconia ciconia",128:"black stork, Ciconia nigra",129:"spoonbill",130:"flamingo",131:"little blue heron, Egretta caerulea",132:"American egret, great white heron, Egretta albus",133:"bittern",134:"crane",135:"limpkin, Aramus pictus",136:"European gallinule, Porphyrio porphyrio",137:"American coot, marsh hen, mud hen, water hen, Fulica americana",138:"bustard",139:"ruddy turnstone, Arenaria interpres",140:"red-backed sandpiper, dunlin, Erolia alpina",141:"redshank, Tringa totanus",142:"dowitcher",143:"oystercatcher, oyster catcher",144:"pelican",145:"king penguin, Aptenodytes patagonica",146:"albatross, mollymawk",147:"grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus",148:"killer whale, killer, orca, grampus, sea wolf, Orcinus orca",149:"dugong, Dugong dugon",150:"sea lion",151:"Chihuahua",152:"Japanese spaniel",153:"Maltese dog, Maltese terrier, Maltese",154:"Pekinese, Pekingese, Peke",155:"Shih-Tzu",156:"Blenheim spaniel",157:"papillon",158:"toy terrier",159:"Rhodesian ridgeback",160:"Afghan hound, Afghan",161:"basset, basset hound",162:"beagle",163:"bloodhound, sleuthhound",164:"bluetick",165:"black-and-tan coonhound",166:"Walker hound, Walker foxhound",167:"English foxhound",168:"redbone",169:"borzoi, Russian wolfhound",170:"Irish wolfhound",171:"Italian greyhound",172:"whippet",173:"Ibizan hound, Ibizan Podenco",174:"Norwegian elkhound, elkhound",175:"otterhound, otter hound",176:"Saluki, gazelle hound",177:"Scottish deerhound, deerhound",178:"Weimaraner",179:"Staffordshire bullterrier, Staffordshire bull terrier",180:"American Staffordshire terrier, Staffordshire terrier, American pit bull terrier, pit bull terrier",181:"Bedlington terrier",182:"Border terrier",183:"Kerry blue terrier",184:"Irish terrier",185:"Norfolk terrier",186:"Norwich terrier",187:"Yorkshire terrier",188:"wire-haired fox terrier",189:"Lakeland terrier",190:"Sealyham terrier, Sealyham",191:"Airedale, Airedale terrier",192:"cairn, cairn terrier",193:"Australian terrier",194:"Dandie Dinmont, Dandie Dinmont terrier",195:"Boston bull, Boston terrier",196:"miniature schnauzer",197:"giant schnauzer",198:"standard schnauzer",199:"Scotch terrier, Scottish terrier, Scottie",200:"Tibetan terrier, chrysanthemum dog",201:"silky terrier, Sydney silky",202:"soft-coated wheaten terrier",203:"West Highland white terrier",204:"Lhasa, Lhasa apso",205:"flat-coated retriever",206:"curly-coated retriever",207:"golden retriever",208:"Labrador retriever",209:"Chesapeake Bay retriever",210:"German short-haired pointer",211:"vizsla, Hungarian pointer",212:"English setter",213:"Irish setter, red setter",214:"Gordon setter",215:"Brittany spaniel",216:"clumber, clumber spaniel",217:"English springer, English springer spaniel",218:"Welsh springer spaniel",219:"cocker spaniel, English cocker spaniel, cocker",220:"Sussex spaniel",221:"Irish water spaniel",222:"kuvasz",223:"schipperke",224:"groenendael",225:"malinois",226:"briard",227:"kelpie",228:"komondor",229:"Old English sheepdog, bobtail",230:"Shetland sheepdog, Shetland sheep dog, Shetland",231:"collie",232:"Border collie",233:"Bouvier des Flandres, Bouviers des Flandres",234:"Rottweiler",235:"German shepherd, German shepherd dog, German police dog, alsatian",236:"Doberman, Doberman pinscher",237:"miniature pinscher",238:"Greater Swiss Mountain dog",239:"Bernese mountain dog",240:"Appenzeller",241:"EntleBucher",242:"boxer",243:"bull mastiff",244:"Tibetan mastiff",245:"French bulldog",246:"Great Dane",247:"Saint Bernard, St Bernard",248:"Eskimo dog, husky",249:"malamute, malemute, Alaskan malamute",250:"Siberian husky",251:"dalmatian, coach dog, carriage dog",252:"affenpinscher, monkey pinscher, monkey dog",253:"basenji",254:"pug, pug-dog",255:"Leonberg",256:"Newfoundland, Newfoundland dog",257:"Great Pyrenees",258:"Samoyed, Samoyede",259:"Pomeranian",260:"chow, chow chow",261:"keeshond",262:"Brabancon griffon",263:"Pembroke, Pembroke Welsh corgi",264:"Cardigan, Cardigan Welsh corgi",265:"toy poodle",266:"miniature poodle",267:"standard poodle",268:"Mexican hairless",269:"timber wolf, grey wolf, gray wolf, Canis lupus",270:"white wolf, Arctic wolf, Canis lupus tundrarum",271:"red wolf, maned wolf, Canis rufus, Canis niger",272:"coyote, prairie wolf, brush wolf, Canis latrans",273:"dingo, warrigal, warragal, Canis dingo",274:"dhole, Cuon alpinus",275:"African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus",276:"hyena, hyaena",277:"red fox, Vulpes vulpes",278:"kit fox, Vulpes macrotis",279:"Arctic fox, white fox, Alopex lagopus",280:"grey fox, gray fox, Urocyon cinereoargenteus",281:"tabby, tabby cat",282:"tiger cat",283:"Persian cat",284:"Siamese cat, Siamese",285:"Egyptian cat",286:"cougar, puma, catamount, mountain lion, painter, panther, Felis concolor",287:"lynx, catamount",288:"leopard, Panthera pardus",289:"snow leopard, ounce, Panthera uncia",290:"jaguar, panther, Panthera onca, Felis onca",291:"lion, king of beasts, Panthera leo",292:"tiger, Panthera tigris",293:"cheetah, chetah, Acinonyx jubatus",294:"brown bear, bruin, Ursus arctos",295:"American black bear, black bear, Ursus americanus, Euarctos americanus",296:"ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus",297:"sloth bear, Melursus ursinus, Ursus ursinus",298:"mongoose",299:"meerkat, mierkat",300:"tiger beetle",301:"ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle",302:"ground beetle, carabid beetle",303:"long-horned beetle, longicorn, longicorn beetle",304:"leaf beetle, chrysomelid",305:"dung beetle",306:"rhinoceros beetle",307:"weevil",308:"fly",309:"bee",310:"ant, emmet, pismire",311:"grasshopper, hopper",312:"cricket",313:"walking stick, walkingstick, stick insect",314:"cockroach, roach",315:"mantis, mantid",316:"cicada, cicala",317:"leafhopper",318:"lacewing, lacewing fly",319:"dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk",320:"damselfly",321:"admiral",322:"ringlet, ringlet butterfly",323:"monarch, monarch butterfly, milkweed butterfly, Danaus plexippus",324:"cabbage butterfly",325:"sulphur butterfly, sulfur butterfly",326:"lycaenid, lycaenid butterfly",327:"starfish, sea star",328:"sea urchin",329:"sea cucumber, holothurian",330:"wood rabbit, cottontail, cottontail rabbit",331:"hare",332:"Angora, Angora rabbit",333:"hamster",334:"porcupine, hedgehog",335:"fox squirrel, eastern fox squirrel, Sciurus niger",336:"marmot",337:"beaver",338:"guinea pig, Cavia cobaya",339:"sorrel",340:"zebra",341:"hog, pig, grunter, squealer, Sus scrofa",342:"wild boar, boar, Sus scrofa",343:"warthog",344:"hippopotamus, hippo, river horse, Hippopotamus amphibius",345:"ox",346:"water buffalo, water ox, Asiatic buffalo, Bubalus bubalis",347:"bison",348:"ram, tup",349:"bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis",350:"ibex, Capra ibex",351:"hartebeest",352:"impala, Aepyceros melampus",353:"gazelle",354:"Arabian camel, dromedary, Camelus dromedarius",355:"llama",356:"weasel",357:"mink",358:"polecat, fitch, foulmart, foumart, Mustela putorius",359:"black-footed ferret, ferret, Mustela nigripes",360:"otter",361:"skunk, polecat, wood pussy",362:"badger",363:"armadillo",364:"three-toed sloth, ai, Bradypus tridactylus",365:"orangutan, orang, orangutang, Pongo pygmaeus",366:"gorilla, Gorilla gorilla",367:"chimpanzee, chimp, Pan troglodytes",368:"gibbon, Hylobates lar",369:"siamang, Hylobates syndactylus, Symphalangus syndactylus",370:"guenon, guenon monkey",371:"patas, hussar monkey, Erythrocebus patas",372:"baboon",373:"macaque",374:"langur",375:"colobus, colobus monkey",376:"proboscis monkey, Nasalis larvatus",377:"marmoset",378:"capuchin, ringtail, Cebus capucinus",379:"howler monkey, howler",380:"titi, titi monkey",381:"spider monkey, Ateles geoffroyi",382:"squirrel monkey, Saimiri sciureus",383:"Madagascar cat, ring-tailed lemur, Lemur catta",384:"indri, indris, Indri indri, Indri brevicaudatus",385:"Indian elephant, Elephas maximus",386:"African elephant, Loxodonta africana",387:"lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens",388:"giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca",389:"barracouta, snoek",390:"eel",391:"coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch",392:"rock beauty, Holocanthus tricolor",393:"anemone fish",394:"sturgeon",395:"gar, garfish, garpike, billfish, Lepisosteus osseus",396:"lionfish",397:"puffer, pufferfish, blowfish, globefish",398:"abacus",399:"abaya",400:"academic gown, academic robe, judge's robe",401:"accordion, piano accordion, squeeze box",402:"acoustic guitar",403:"aircraft carrier, carrier, flattop, attack aircraft carrier",404:"airliner",405:"airship, dirigible",406:"altar",407:"ambulance",408:"amphibian, amphibious vehicle",409:"analog clock",410:"apiary, bee house",411:"apron",412:"ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin",413:"assault rifle, assault gun",414:"backpack, back pack, knapsack, packsack, rucksack, haversack",415:"bakery, bakeshop, bakehouse",416:"balance beam, beam",417:"balloon",418:"ballpoint, ballpoint pen, ballpen, Biro",419:"Band Aid",420:"banjo",421:"bannister, banister, balustrade, balusters, handrail",422:"barbell",423:"barber chair",424:"barbershop",425:"barn",426:"barometer",427:"barrel, cask",428:"barrow, garden cart, lawn cart, wheelbarrow",429:"baseball",430:"basketball",431:"bassinet",432:"bassoon",433:"bathing cap, swimming cap",434:"bath towel",435:"bathtub, bathing tub, bath, tub",436:"beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon",437:"beacon, lighthouse, beacon light, pharos",438:"beaker",439:"bearskin, busby, shako",440:"beer bottle",441:"beer glass",442:"bell cote, bell cot",443:"bib",444:"bicycle-built-for-two, tandem bicycle, tandem",445:"bikini, two-piece",446:"binder, ring-binder",447:"binoculars, field glasses, opera glasses",448:"birdhouse",449:"boathouse",450:"bobsled, bobsleigh, bob",451:"bolo tie, bolo, bola tie, bola",452:"bonnet, poke bonnet",453:"bookcase",454:"bookshop, bookstore, bookstall",455:"bottlecap",456:"bow",457:"bow tie, bow-tie, bowtie",458:"brass, memorial tablet, plaque",459:"brassiere, bra, bandeau",460:"breakwater, groin, groyne, mole, bulwark, seawall, jetty",461:"breastplate, aegis, egis",462:"broom",463:"bucket, pail",464:"buckle",465:"bulletproof vest",466:"bullet train, bullet",467:"butcher shop, meat market",468:"cab, hack, taxi, taxicab",469:"caldron, cauldron",470:"candle, taper, wax light",471:"cannon",472:"canoe",473:"can opener, tin opener",474:"cardigan",475:"car mirror",476:"carousel, carrousel, merry-go-round, roundabout, whirligig",477:"carpenter's kit, tool kit",478:"carton",479:"car wheel",480:"cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM",481:"cassette",482:"cassette player",483:"castle",484:"catamaran",485:"CD player",486:"cello, violoncello",487:"cellular telephone, cellular phone, cellphone, cell, mobile phone",488:"chain",489:"chainlink fence",490:"chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour",491:"chain saw, chainsaw",492:"chest",493:"chiffonier, commode",494:"chime, bell, gong",495:"china cabinet, china closet",496:"Christmas stocking",497:"church, church building",498:"cinema, movie theater, movie theatre, movie house, picture palace",499:"cleaver, meat cleaver, chopper",500:"cliff dwelling",501:"cloak",502:"clog, geta, patten, sabot",503:"cocktail shaker",504:"coffee mug",505:"coffeepot",506:"coil, spiral, volute, whorl, helix",507:"combination lock",508:"computer keyboard, keypad",509:"confectionery, confectionary, candy store",510:"container ship, containership, container vessel",511:"convertible",512:"corkscrew, bottle screw",513:"cornet, horn, trumpet, trump",514:"cowboy boot",515:"cowboy hat, ten-gallon hat",516:"cradle",517:"crane",518:"crash helmet",519:"crate",520:"crib, cot",521:"Crock Pot",522:"croquet ball",523:"crutch",524:"cuirass",525:"dam, dike, dyke",526:"desk",527:"desktop computer",528:"dial telephone, dial phone",529:"diaper, nappy, napkin",530:"digital clock",531:"digital watch",532:"dining table, board",533:"dishrag, dishcloth",534:"dishwasher, dish washer, dishwashing machine",535:"disk brake, disc brake",536:"dock, dockage, docking facility",537:"dogsled, dog sled, dog sleigh",538:"dome",539:"doormat, welcome mat",540:"drilling platform, offshore rig",541:"drum, membranophone, tympan",542:"drumstick",543:"dumbbell",544:"Dutch oven",545:"electric fan, blower",546:"electric guitar",547:"electric locomotive",548:"entertainment center",549:"envelope",550:"espresso maker",551:"face powder",552:"feather boa, boa",553:"file, file cabinet, filing cabinet",554:"fireboat",555:"fire engine, fire truck",556:"fire screen, fireguard",557:"flagpole, flagstaff",558:"flute, transverse flute",559:"folding chair",560:"football helmet",561:"forklift",562:"fountain",563:"fountain pen",564:"four-poster",565:"freight car",566:"French horn, horn",567:"frying pan, frypan, skillet",568:"fur coat",569:"garbage truck, dustcart",570:"gasmask, respirator, gas helmet",571:"gas pump, gasoline pump, petrol pump, island dispenser",572:"goblet",573:"go-kart",574:"golf ball",575:"golfcart, golf cart",576:"gondola",577:"gong, tam-tam",578:"gown",579:"grand piano, grand",580:"greenhouse, nursery, glasshouse",581:"grille, radiator grille",582:"grocery store, grocery, food market, market",583:"guillotine",584:"hair slide",585:"hair spray",586:"half track",587:"hammer",588:"hamper",589:"hand blower, blow dryer, blow drier, hair dryer, hair drier",590:"hand-held computer, hand-held microcomputer",591:"handkerchief, hankie, hanky, hankey",592:"hard disc, hard disk, fixed disk",593:"harmonica, mouth organ, harp, mouth harp",594:"harp",595:"harvester, reaper",596:"hatchet",597:"holster",598:"home theater, home theatre",599:"honeycomb",600:"hook, claw",601:"hoopskirt, crinoline",602:"horizontal bar, high bar",603:"horse cart, horse-cart",604:"hourglass",605:"iPod",606:"iron, smoothing iron",607:"jack-o'-lantern",608:"jean, blue jean, denim",609:"jeep, landrover",610:"jersey, T-shirt, tee shirt",611:"jigsaw puzzle",612:"jinrikisha, ricksha, rickshaw",613:"joystick",614:"kimono",615:"knee pad",616:"knot",617:"lab coat, laboratory coat",618:"ladle",619:"lampshade, lamp shade",620:"laptop, laptop computer",621:"lawn mower, mower",622:"lens cap, lens cover",623:"letter opener, paper knife, paperknife",624:"library",625:"lifeboat",626:"lighter, light, igniter, ignitor",627:"limousine, limo",628:"liner, ocean liner",629:"lipstick, lip rouge",630:"Loafer",631:"lotion",632:"loudspeaker, speaker, speaker unit, loudspeaker system, speaker system",633:"loupe, jeweler's loupe",634:"lumbermill, sawmill",635:"magnetic compass",636:"mailbag, postbag",637:"mailbox, letter box",638:"maillot",639:"maillot, tank suit",640:"manhole cover",641:"maraca",642:"marimba, xylophone",643:"mask",644:"matchstick",645:"maypole",646:"maze, labyrinth",647:"measuring cup",648:"medicine chest, medicine cabinet",649:"megalith, megalithic structure",650:"microphone, mike",651:"microwave, microwave oven",652:"military uniform",653:"milk can",654:"minibus",655:"miniskirt, mini",656:"minivan",657:"missile",658:"mitten",659:"mixing bowl",660:"mobile home, manufactured home",661:"Model T",662:"modem",663:"monastery",664:"monitor",665:"moped",666:"mortar",667:"mortarboard",668:"mosque",669:"mosquito net",670:"motor scooter, scooter",671:"mountain bike, all-terrain bike, off-roader",672:"mountain tent",673:"mouse, computer mouse",674:"mousetrap",675:"moving van",676:"muzzle",677:"nail",678:"neck brace",679:"necklace",680:"nipple",681:"notebook, notebook computer",682:"obelisk",683:"oboe, hautboy, hautbois",684:"ocarina, sweet potato",685:"odometer, hodometer, mileometer, milometer",686:"oil filter",687:"organ, pipe organ",688:"oscilloscope, scope, cathode-ray oscilloscope, CRO",689:"overskirt",690:"oxcart",691:"oxygen mask",692:"packet",693:"paddle, boat paddle",694:"paddlewheel, paddle wheel",695:"padlock",696:"paintbrush",697:"pajama, pyjama, pj's, jammies",698:"palace",699:"panpipe, pandean pipe, syrinx",700:"paper towel",701:"parachute, chute",702:"parallel bars, bars",703:"park bench",704:"parking meter",705:"passenger car, coach, carriage",706:"patio, terrace",707:"pay-phone, pay-station",708:"pedestal, plinth, footstall",709:"pencil box, pencil case",710:"pencil sharpener",711:"perfume, essence",712:"Petri dish",713:"photocopier",714:"pick, plectrum, plectron",715:"pickelhaube",716:"picket fence, paling",717:"pickup, pickup truck",718:"pier",719:"piggy bank, penny bank",720:"pill bottle",721:"pillow",722:"ping-pong ball",723:"pinwheel",724:"pirate, pirate ship",725:"pitcher, ewer",726:"plane, carpenter's plane, woodworking plane",727:"planetarium",728:"plastic bag",729:"plate rack",730:"plow, plough",731:"plunger, plumber's helper",732:"Polaroid camera, Polaroid Land camera",733:"pole",734:"police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria",735:"poncho",736:"pool table, billiard table, snooker table",737:"pop bottle, soda bottle",738:"pot, flowerpot",739:"potter's wheel",740:"power drill",741:"prayer rug, prayer mat",742:"printer",743:"prison, prison house",744:"projectile, missile",745:"projector",746:"puck, hockey puck",747:"punching bag, punch bag, punching ball, punchball",748:"purse",749:"quill, quill pen",750:"quilt, comforter, comfort, puff",751:"racer, race car, racing car",752:"racket, racquet",753:"radiator",754:"radio, wireless",755:"radio telescope, radio reflector",756:"rain barrel",757:"recreational vehicle, RV, R.V.",758:"reel",759:"reflex camera",760:"refrigerator, icebox",761:"remote control, remote",762:"restaurant, eating house, eating place, eatery",763:"revolver, six-gun, six-shooter",764:"rifle",765:"rocking chair, rocker",766:"rotisserie",767:"rubber eraser, rubber, pencil eraser",768:"rugby ball",769:"rule, ruler",770:"running shoe",771:"safe",772:"safety pin",773:"saltshaker, salt shaker",774:"sandal",775:"sarong",776:"sax, saxophone",777:"scabbard",778:"scale, weighing machine",779:"school bus",780:"schooner",781:"scoreboard",782:"screen, CRT screen",783:"screw",784:"screwdriver",785:"seat belt, seatbelt",786:"sewing machine",787:"shield, buckler",788:"shoe shop, shoe-shop, shoe store",789:"shoji",790:"shopping basket",791:"shopping cart",792:"shovel",793:"shower cap",794:"shower curtain",795:"ski",796:"ski mask",797:"sleeping bag",798:"slide rule, slipstick",799:"sliding door",800:"slot, one-armed bandit",801:"snorkel",802:"snowmobile",803:"snowplow, snowplough",804:"soap dispenser",805:"soccer ball",806:"sock",807:"solar dish, solar collector, solar furnace",808:"sombrero",809:"soup bowl",810:"space bar",811:"space heater",812:"space shuttle",813:"spatula",814:"speedboat",815:"spider web, spider's web",816:"spindle",817:"sports car, sport car",818:"spotlight, spot",819:"stage",820:"steam locomotive",821:"steel arch bridge",822:"steel drum",823:"stethoscope",824:"stole",825:"stone wall",826:"stopwatch, stop watch",827:"stove",828:"strainer",829:"streetcar, tram, tramcar, trolley, trolley car",830:"stretcher",831:"studio couch, day bed",832:"stupa, tope",833:"submarine, pigboat, sub, U-boat",834:"suit, suit of clothes",835:"sundial",836:"sunglass",837:"sunglasses, dark glasses, shades",838:"sunscreen, sunblock, sun blocker",839:"suspension bridge",840:"swab, swob, mop",841:"sweatshirt",842:"swimming trunks, bathing trunks",843:"swing",844:"switch, electric switch, electrical switch",845:"syringe",846:"table lamp",847:"tank, army tank, armored combat vehicle, armoured combat vehicle",848:"tape player",849:"teapot",850:"teddy, teddy bear",851:"television, television system",852:"tennis ball",853:"thatch, thatched roof",854:"theater curtain, theatre curtain",855:"thimble",856:"thresher, thrasher, threshing machine",857:"throne",858:"tile roof",859:"toaster",860:"tobacco shop, tobacconist shop, tobacconist",861:"toilet seat",862:"torch",863:"totem pole",864:"tow truck, tow car, wrecker",865:"toyshop",866:"tractor",867:"trailer truck, tractor trailer, trucking rig, rig, articulated lorry, semi",868:"tray",869:"trench coat",870:"tricycle, trike, velocipede",871:"trimaran",872:"tripod",873:"triumphal arch",874:"trolleybus, trolley coach, trackless trolley",875:"trombone",876:"tub, vat",877:"turnstile",878:"typewriter keyboard",879:"umbrella",880:"unicycle, monocycle",881:"upright, upright piano",882:"vacuum, vacuum cleaner",883:"vase",884:"vault",885:"velvet",886:"vending machine",887:"vestment",888:"viaduct",889:"violin, fiddle",890:"volleyball",891:"waffle iron",892:"wall clock",893:"wallet, billfold, notecase, pocketbook",894:"wardrobe, closet, press",895:"warplane, military plane",896:"washbasin, handbasin, washbowl, lavabo, wash-hand basin",897:"washer, automatic washer, washing machine",898:"water bottle",899:"water jug",900:"water tower",901:"whiskey jug",902:"whistle",903:"wig",904:"window screen",905:"window shade",906:"Windsor tie",907:"wine bottle",908:"wing",909:"wok",910:"wooden spoon",911:"wool, woolen, woollen",912:"worm fence, snake fence, snake-rail fence, Virginia fence",913:"wreck",914:"yawl",915:"yurt",916:"web site, website, internet site, site",917:"comic book",918:"crossword puzzle, crossword",919:"street sign",920:"traffic light, traffic signal, stoplight",921:"book jacket, dust cover, dust jacket, dust wrapper",922:"menu",923:"plate",924:"guacamole",925:"consomme",926:"hot pot, hotpot",927:"trifle",928:"ice cream, icecream",929:"ice lolly, lolly, lollipop, popsicle",930:"French loaf",931:"bagel, beigel",932:"pretzel",933:"cheeseburger",934:"hotdog, hot dog, red hot",935:"mashed potato",936:"head cabbage",937:"broccoli",938:"cauliflower",939:"zucchini, courgette",940:"spaghetti squash",941:"acorn squash",942:"butternut squash",943:"cucumber, cuke",944:"artichoke, globe artichoke",945:"bell pepper",946:"cardoon",947:"mushroom",948:"Granny Smith",949:"strawberry",950:"orange",951:"lemon",952:"fig",953:"pineapple, ananas",954:"banana",955:"jackfruit, jak, jack",956:"custard apple",957:"pomegranate",958:"hay",959:"carbonara",960:"chocolate sauce, chocolate syrup",961:"dough",962:"meat loaf, meatloaf",963:"pizza, pizza pie",964:"potpie",965:"burrito",966:"red wine",967:"espresso",968:"cup",969:"eggnog",970:"alp",971:"bubble",972:"cliff, drop, drop-off",973:"coral reef",974:"geyser",975:"lakeside, lakeshore",976:"promontory, headland, head, foreland",977:"sandbar, sand bar",978:"seashore, coast, seacoast, sea-coast",979:"valley, vale",980:"volcano",981:"ballplayer, baseball player",982:"groom, bridegroom",983:"scuba diver",984:"rapeseed",985:"daisy",986:"yellow lady's slipper, yellow lady-slipper, Cypripedium calceolus, Cypripedium parviflorum",987:"corn",988:"acorn",989:"hip, rose hip, rosehip",990:"buckeye, horse chestnut, conker",991:"coral fungus",992:"agaric",993:"gyromitra",994:"stinkhorn, carrion fungus",995:"earthstar",996:"hen-of-the-woods, hen of the woods, Polyporus frondosus, Grifola frondosa",997:"bolete",998:"ear, spike, capitulum",999:"toilet tissue, toilet paper, bathroom tissue"},

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hk(e,this.mean,this.stddev,t,this.seed)}},{key:"getConfig",value:function(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}}}]),n}(wk);Ck.className="RandomNormal",_c(Ck);var Ek=function(e){mo(n,e);var t=wo(n);function n(e){var r;return ft(this,n),(r=t.call(this)).DEFAULT_MEAN=0,r.DEFAULT_STDDEV=.05,r.mean=e.mean||r.DEFAULT_MEAN,r.stddev=e.stddev||r.DEFAULT_STDDEV,r.seed=e.seed,r}return vt(n,[{key:"apply",value:function(e,t){if("float32"!==(t=t||"float32")&&"int32"!==t)throw new ox("truncatedNormal does not support dType ".concat(t,"."));return cp(e,this.mean,this.stddev,t,this.seed)}},{key:"getConfig",value:function(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}}}]),n}(wk);Ek.className="TruncatedNormal",_c(Ek);var _k=function(e){mo(n,e);var t=wo(n);function n(e){var r;return ft(this,n),(r=t.call(this)).gain=null!=e.gain?e.gain:1,r}return vt(n,[{key:"apply",value:function(e,t){var n=this;return Qc((function(){if(2!==e.length||e[0]!==e[1])throw new ix("Identity matrix initializer can only be used for 2D square matrices.");return dl(n.gain,od(e[0]))}))}},{key:"getConfig",value:function(){return{gain:this.gain}}}]),n}(wk);_k.className="Identity",_c(_k);var Ak=function(e){mo(n,e);var t=wo(n);function n(e){var r,a;if(ft(this,n),r=t.call(this),e.scale<0)throw new ix("scale must be a positive float. Got: ".concat(e.scale));return r.scale=null==e.scale?1:e.scale,r.mode=null==e.mode?"fanIn":e.mode,a=r.mode,wx(xk,"FanMode",a),r.distribution=null==e.distribution?"normal":e.distribution,function(e){wx(kk,"Distribution",e)}(r.distribution),r.seed=e.seed,r}return vt(n,[{key:"apply",value:function(e,t){var n=function(e){var t,n,r=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"channelsLast";if(Ux(r),2===e.length)t=e[0],n=e[1];else if(-1!==[3,4,5].indexOf(e.length)){if("channelsFirst"===r){var a=Zx(e,2);t=e[1]*a,n=e[0]*a}else if("channelsLast"===r){var i=Zx(e,0,e.length-2);t=e[e.length-2]*i,n=e[e.length-1]*i}}else{var o=Zx(e);t=Math.sqrt(o),n=Math.sqrt(o)}return[t,n]}(e),r=n[0],a=n[1],i=this.scale;if("fanIn"===this.mode?i/=Math.max(1,r):"fanOut"===this.mode?i/=Math.max(1,a):i/=Math.max(1,(r+a)/2),"normal"===this.distribution){var o=Math.sqrt(i);if("float32"!==(t=t||"float32")&&"int32"!==t)throw new ox("".concat(this.getClassName()," does not support dType ").concat(t,"."));return cp(e,0,o,t,this.seed)}var s=Math.sqrt(3*i);return kf(e,-s,s,t)}},{key:"getConfig",value:function(){return{scale:this.scale,mode:this.mode,distribution:this.distribution,seed:this.seed}}}]),n}(wk);Ak.className="VarianceScaling",_c(Ak);var Rk=function(e){mo(n,e);var t=wo(n);function n(e){return ft(this,n),t.call(this,{scale:1,mode:"fanAvg",distribution:"uniform",seed:null==e?null:e.seed})}return vt(n,[{key:"getClassName",value:function(){return Ak.className}}]),n}(Ak);Rk.className="GlorotUniform",_c(Rk);var Dk=function(e){mo(n,e);var t=wo(n);function n(e){return ft(this,n),t.call(this,{scale:1,mode:"fanAvg",distribution:"normal",seed:null==e?null:e.seed})}return vt(n,[{key:"getClassName",value:function(){return Ak.className}}]),n}(Ak);Dk.className="GlorotNormal",_c(Dk);var Mk=function(e){mo(n,e);var t=wo(n);function n(e){return ft(this,n),t.call(this,{scale:2,mode:"fanIn",distribution:"normal",seed:null==e?null:e.seed})}return vt(n,[{key:"getClassName",value:function(){return Ak.className}}]),n}(Ak);Mk.className="HeNormal",_c(Mk);var Ok=function(e){mo(n,e);var t=wo(n);function n(e){return ft(this,n),t.call(this,{scale:2,mode:"fanIn",distribution:"uniform",seed:null==e?null:e.seed})}return vt(n,[{key:"getClassName",value:function(){return Ak.className}}]),n}(Ak);Ok.className="HeUniform",_c(Ok);var Fk=function(e){mo(n,e);var t=wo(n);function n(e){return ft(this,n),t.call(this,{scale:1,mode:"fanIn",distribution:"normal",seed:null==e?null:e.seed})}return vt(n,[{key:"getClassName",value:function(){return Ak.className}}]),n}(Ak);Fk.className="LeCunNormal",_c(Fk);var Lk=function(e){mo(n,e);var t=wo(n);function n(e){return ft(this,n),t.call(this,{scale:1,mode:"fanIn",distribution:"uniform",seed:null==e?null:e.seed})}return vt(n,[{key:"getClassName",value:function(){return Ak.className}}]),n}(Ak);Lk.className="LeCunNormal",_c(Lk);var Pk=function(e){mo(n,e);var t=wo(n);function n(e){var r;if(ft(this,n),(r=t.call(this)).DEFAULT_GAIN=1,r.gain=null==e.gain?r.DEFAULT_GAIN:e.gain,r.seed=e.seed,null!=r.seed)throw new ox("Random seed is not implemented for Orthogonal Initializer yet.");return r}return vt(n,[{key:"apply",value:function(e,t){var n=this;return Qc((function(){if(e.length<2)throw new ox("Shape must be at least 2D.");e[0]*e[1]>2e3&&console.warn("Orthogonal initializer is being called on a matrix with more "+"than 2000 (".concat(e[0]*e[1],") elements: ")+"Slowness may result.");var t=hk(e[0]>e[1]?[e[1],e[0]]:e,0,1,"float32"),r=qv.gramSchmidt(t);return e[0]>e[1]&&(r=qu(r)),dl(n.gain,r)}))}},{key:"getConfig",value:function(){return{gain:this.gain,seed:this.seed}}}]),n}(wk);Pk.className="Orthogonal",_c(Pk);var zk={constant:"Constant",glorotNormal:"GlorotNormal",glorotUniform:"GlorotUniform",heNormal:"HeNormal",heUniform:"HeUniform",identity:"Identity",leCunNormal:"LeCunNormal",leCunUniform:"LeCunUniform",ones:"Ones",orthogonal:"Orthogonal",randomNormal:"RandomNormal",randomUniform:"RandomUniform",truncatedNormal:"TruncatedNormal",varianceScaling:"VarianceScaling",zeros:"Zeros"};function Bk(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{};return yx(e,Ec.getMap().classNameMap,t,"initializer")}function Wk(e){return mx(e)}function Vk(e){if("string"===typeof e){var t=e in zk?zk[e]:e;if("GlorotNormal"===t)return new Dk;if("GlorotUniform"===t)return new Rk;if("HeNormal"===t)return new Mk;if("HeUniform"===t)return new Ok;if("LeCunNormal"===t)return new Fk;if("LeCunUniform"===t)return new Lk;var n={};return n.className=t,n.config={},Bk(n)}return e instanceof wk?e:Bk(e)}var jk=0;function Uk(){return jk++}var Hk={};function Gk(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:"";return e in Hk||(Hk[e]=0),Hk[e]+=1,e+Hk[e].toString()}function qk(e){return Array.isArray(e)&&Array.isArray(e[0])}function Kk(e){return 0===e.length?[]:Array.isArray(e[0])?e:[e]}function Xk(e){var t;if(Array.isArray(e)){if(1!==e.length)throw new ix("Expected Tensor length to be 1; got ".concat(e.length));t=e[0]}else t=e;return t}function Yk(e){if(Array.isArray(e)&&Array.isArray(e[0])){if(1===e.length)return(e=e)[0];throw new ix("Expected exactly 1 Shape; got ".concat(e.length))}return e}function Qk(e){var t,n=0,r=lt(e);try{for(r.s();!(t=r.n()).done;){var a=t.value;0===a.shape.length?n+=1:n+=a.shape.reduce((function(e,t){return e*t}))}}catch(oQ){r.e(oQ)}finally{r.f()}return n}var Jk="Variable",Zk=function(){function e(t){var n=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"float32",r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:Jk,a=!(arguments.length>3&&void 0!==arguments[3])||arguments[3],i=arguments.length>4&&void 0!==arguments[4]?arguments[4]:null;ft(this,e),this.dtype=null==n?"float32":n,this.shape=t.shape,this.id=Uk(),r=null==r?Jk:r,this.originalName=Xx(r),this.name=Yx(this.originalName),this.trainable_=a,this.constraint=i,this.val=fp(t,this.trainable_,this.name,this.dtype)}return vt(e,[{key:"read",value:function(){return this.assertNotDisposed(),this.val}},{key:"write",value:function(e){return this.assertNotDisposed(),function(e,t){if(e.shape.toString()!==t.shape.toString())throw new Error("Shape mismatch: "+JSON.stringify(e.shape)+" vs. "+JSON.stringify(t.shape))}(this.val,e),this.val.id!==e.id&&(this.val.assign(e),null!=this.constraint&&this.val.assign(this.constraint.apply(this.val))),this}},{key:"dispose",value:function(){this.assertNotDisposed(),this.val.dispose()}},{key:"assertNotDisposed",value:function(){if(this.val.isDisposed)throw new Error("LayersVariable ".concat(this.name," is already disposed."))}},{key:"trainable",get:function(){return this.trainable_},set:function(e){this.trainable_=e,this.val.trainable=e}}]),e}();function $k(e){return e.map((function(e){return e.read()}))}function ew(e){e.forEach((function(e){e[0].write(e[1])}))}var tw=vt((function e(t){ft(this,e),this.dtype=t.dtype,this.shape=t.shape,null!=t.shape?this.ndim=t.shape.length:this.ndim=t.ndim,this.maxNDim=t.maxNDim,this.minNDim=t.minNDim,this.axes=t.axes||{}})),nw=vt((function e(t,n,r,a,i,o,s){ft(this,e),this.dtype=t,this.shape=n,this.sourceLayer=r,this.inputs=a,this.callArgs=i,this.outputTensorIndex=s,this.id=Uk(),null!=o&&(this.originalName=Xx(o),this.name=Yx(this.originalName)),this.rank=n.length})),rw=0,aw=function(){function e(t,n){ft(this,e),this.callArgs=n,this.id=rw++,this.outboundLayer=t.outboundLayer,this.inboundLayers=t.inboundLayers,this.nodeIndices=t.nodeIndices,this.tensorIndices=t.tensorIndices,this.inputTensors=t.inputTensors,this.outputTensors=t.outputTensors,this.inputMasks=t.inputMasks,this.outputMasks=t.outputMasks,this.inputShapes=t.inputShapes,this.outputShapes=t.outputShapes;var r,a=lt(t.inboundLayers);try{for(a.s();!(r=a.n()).done;){var i=r.value;null!=i&&i.outboundNodes.push(this)}}catch(oQ){a.e(oQ)}finally{a.f()}t.outboundLayer.inboundNodes.push(this)}return vt(e,[{key:"getConfig",value:function(){var e,t=[],n=lt(this.inboundLayers);try{for(n.s();!(e=n.n()).done;){var r=e.value;null!=r?t.push(r.name):t.push(null)}}catch(oQ){n.e(oQ)}finally{n.f()}return{outboundLayer:this.outboundLayer?this.outboundLayer.name:null,inboundLayers:t,nodeIndices:this.nodeIndices,tensorIndices:this.tensorIndices}}}]),e}(),iw=0,ow=function(e){mo(n,e);var t=wo(n);function n(){var e,r=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{};ft(this,n),(e=t.call(this))._callHook=null,e._addedWeightNames=[],e._stateful=!1,e.id=iw++,e.activityRegularizer=null,e.inputSpec=null,e.supportsMasking=!1,e._trainableWeights=[],e._nonTrainableWeights=[],e._losses=[],e._updates=[],e._built=!1,e.inboundNodes=[],e.outboundNodes=[];var a=r.name;if(!a){var i=e.getClassName();a=fx(i)+"_"+Gk(i)}if(e.name=a,e.trainable_=null==r.trainable||r.trainable,null!=r.inputShape||null!=r.batchInputShape){var o;if(null!=r.batchInputShape)o=r.batchInputShape;else if(null!=r.inputShape){var s=null;null!=r.batchSize&&(s=r.batchSize),o=[s].concat(r.inputShape)}e.batchInputShape=o;var u=r.dtype;null==u&&(u=r.inputDType),null==u&&(u="float32"),e.dtype=u}return null!=r.weights?e.initialWeights=r.weights:e.initialWeights=null,e._refCount=null,e.fastWeightInitDuringBuild=!1,e}return vt(n,[{key:"getNodeAtIndex",value:function(e,t){if(0===this.inboundNodes.length)throw new ax("The layer has never been called "+"and thus has no defined ".concat(t,"."));if(this.inboundNodes.length<=e)throw new ix("Asked to get ".concat(t," at node ").concat(e,", ")+"but the layer has only ".concat(this.inboundNodes.length," inbound nodes."));return this.inboundNodes[e]}},{key:"getInputAt",value:function(e){return hx(this.getNodeAtIndex(e,"input").inputTensors)}},{key:"getOutputAt",value:function(e){return hx(this.getNodeAtIndex(e,"output").outputTensors)}},{key:"input",get:function(){if(this.inboundNodes.length>1)throw new rx("Layer ".concat(this.name)+' has multiple inbound nodes, hence the notion of "layer input" is ill-defined. Use `getInputAt(nodeIndex)` instead.');if(0===this.inboundNodes.length)throw new rx("Layer ".concat(this.name)+" is not connected, no input to return.");return hx(this.getNodeAtIndex(0,"input").inputTensors)}},{key:"output",get:function(){if(0===this.inboundNodes.length)throw new rx("Layer ".concat(this.name)+" has no inbound nodes.");if(this.inboundNodes.length>1)throw new rx("Layer ".concat(this.name)+' has multiple inbound nodes, hence the notion of "layer output" is ill-defined. Use `getOutputAt(nodeIndex)` instead.');return hx(this.getNodeAtIndex(0,"output").outputTensors)}},{key:"losses",get:function(){return this._losses}},{key:"calculateLosses",value:function(){return this.losses.map((function(e){return e()}))}},{key:"updates",get:function(){return this._updates}},{key:"built",get:function(){return this._built},set:function(e){this._built=e}},{key:"trainable",get:function(){return this.trainable_},set:function(e){this._trainableWeights.forEach((function(t){return t.trainable=e})),this.trainable_=e}},{key:"trainableWeights",get:function(){return this.trainable_?this._trainableWeights.filter((function(e){return e.trainable})):[]},set:function(e){this._trainableWeights=e}},{key:"nonTrainableWeights",get:function(){return this.trainable?this._trainableWeights.filter((function(e){return!e.trainable})).concat(this._nonTrainableWeights):this._trainableWeights.concat(this._nonTrainableWeights)},set:function(e){this._nonTrainableWeights=e}},{key:"weights",get:function(){return this.trainableWeights.concat(this.nonTrainableWeights)}},{key:"stateful",get:function(){return this._stateful}},{key:"resetStates",value:function(){if(!this.stateful)throw new Error("Cannot call the resetStates() method of a non-stateful Layer object.")}},{key:"assertInputCompatibility",value:function(e){if(e=dx(e),null!=this.inputSpec&&0!==this.inputSpec.length){var t=dx(this.inputSpec);if(e.length!==t.length)throw new ix("Layer ".concat(this.name," expects ").concat(t.length," inputs, ")+"but it received ".concat(e.length," input tensors. ")+"Input received: ".concat(e));for(var n=0;n<e.length;n++){var r=e[n],a=t[n];if(null!=a){var i=r.rank;if(null!=a.ndim&&i!==a.ndim)throw new ix("Input ".concat(n," is incompatible with layer ").concat(this.name,": ")+"expected ndim=".concat(a.ndim,", found ndim=").concat(i));if(null!=a.maxNDim&&i>a.maxNDim)throw new ix("Input ".concat(n," is incompatible with layer ").concat(this.name)+": expected max_ndim

2Qc((function(){var n=t.weights;if(n.length!==e.length)throw new ix('You called setWeights(weights) on layer "'.concat(t.name,'" ')+"with a weight list of length ".concat(e.length,", ")+"but the layer was expecting ".concat(n.length," weights. ")+"Provided weights: ".concat(e,"..."));if(0!==n.length){for(var r=[],a=$k(n),i=0;i<a.length;++i){var o=a[i],s=n[i],u=e[i];if(!Mt(o.shape,u.shape))throw new ix("Layer weight shape ".concat(o.shape," ")+"not compatible with provided weight shape ".concat(u.shape));r.push([s,u])}ew(r)}}))}},{key:"addWeight",value:function(e,t,n,r,a,i,o,s){if(-1!==this._addedWeightNames.indexOf(e))throw new ix("Duplicate weight name ".concat(e," for layer ").concat(this.name));this._addedWeightNames.push(e),null==n&&(n="float32"),this.fastWeightInitDuringBuild&&(r=null!=s?s():Vk("zeros"));var u=r.apply(t,n),c=new Zk(u,n,e,i,o);return u.dispose(),null!=a&&this.addLoss((function(){return a.apply(c.read())})),null==i&&(i=!0),i?this._trainableWeights.push(c):this._nonTrainableWeights.push(c),c}},{key:"setFastWeightInitDuringBuild",value:function(e){this.fastWeightInitDuringBuild=e}},{key:"addLoss",value:function(e){var t;null==e||Array.isArray(e)&&0===e.length||(e=dx(e),void 0!==this._losses&&null!==this._losses&&(t=this.losses).push.apply(t,dt(e)))}},{key:"computeOutputShape",value:function(e){return e}},{key:"computeMask",value:function(e,t){var n=this;if(!this.supportsMasking){if(null!=t){if(!Array.isArray(t))throw new TypeError("Layer ".concat(this.name," does not support masking, ")+"but was passed an inputMask.");t.forEach((function(e){if(null!=e)throw new TypeError("Layer ".concat(n.name," does not support masking, ")+"but was passed an inputMask.")}))}return null}return t}},{key:"addInboundNode",value:function(e,t,n,r,a,i){var o=arguments.length>6&&void 0!==arguments[6]?arguments[6]:null,s=dx(e);t=dx(t),n=dx(n),r=dx(r),a=Kk(a),i=Kk(i);var u,c=[],l=[],h=[],d=lt(s);try{for(d.s();!(u=d.n()).done;){var f=u.value;c.push(f.sourceLayer),l.push(f.nodeIndex),h.push(f.tensorIndex)}}catch(oQ){d.e(oQ)}finally{d.f()}new aw({outboundLayer:this,inboundLayers:c,nodeIndices:l,tensorIndices:h,inputTensors:s,outputTensors:t,inputMasks:n,outputMasks:r,inputShapes:a,outputShapes:i},o);for(var p=0;p<t.length;p++)t[p].sourceLayer=this,t[p].nodeIndex=this.inboundNodes.length-1,t[p].tensorIndex=p}},{key:"getConfig",value:function(){var e={name:this.name,trainable:this.trainable};return null!=this.batchInputShape&&(e.batchInputShape=this.batchInputShape),null!=this.dtype&&(e.dtype=this.dtype),e}},{key:"disposeWeights",value:function(){return this.weights.forEach((function(e){return e.dispose()})),this.weights.length}},{key:"assertNotDisposed",value:function(){if(0===this._refCount)throw new Error("Layer '".concat(this.name,"' is already disposed."))}},{key:"dispose",value:function(){if(!this.built)throw new Error("Cannot dispose Layer ".concat(this.name," because it has not been ")+"built yet.");if(null===this._refCount)throw new Error("Cannot dispose Layer ".concat(this.name," because it has not been used ")+"yet.");this.assertNotDisposed();var e=0;return 0===--this._refCount&&(e=this.disposeWeights()),{refCountAfterDispose:this._refCount,numDisposedVariables:e}}}],[{key:"nodeKey",value:function(e,t){return e.name+"_ib-"+t.toString()}}]),n}(Cc);function sw(e,t,n){if((null==t||null!=n&&n>0)&&(t=e.sourceLayer,n=e.nodeIndex),0===t.inboundNodes.length)return[e];var r=t.inboundNodes[n];if(0===r.inboundLayers.length)return r.inputTensors;for(var a=[],i=0;i<r.inboundLayers.length;i++){var o,s=lt(sw(r.inputTensors[i],r.inboundLayers[i],r.nodeIndices[i]));try{for(s.s();!(o=s.n()).done;){var u=o.value;-1===a.indexOf(u)&&a.push(u)}}catch(oQ){s.e(oQ)}finally{s.f()}}return a}var uw,cw=function(e){mo(n,e);var t=wo(n);function n(e){var r;if(ft(this,n),r=t.call(this,{dtype:e.dtype,name:null!=e.name?e.name:Gk("input").toString()}),null==e.batchSize&&(e.batchSize=null),null==e.sparse&&(e.sparse=!1),r.trainable=!1,r.built=!0,r.sparse=e.sparse,null!=e.inputShape&&null!=e.batchInputShape)throw new ix("Only provide the inputShape OR batchInputShape argument to inputLayer, not both at the same time.");var a=e.batchInputShape;if(null==a){if(null==e.inputShape)throw new ix("An InputLayer should be passed either a `batchInputShape` or an `inputShape`.");a=[e.batchSize].concat(e.inputShape)}else if(null!=e.batchSize)throw new ix("Cannot specify batchSize if batchInputShape is specified when creating an InputLayer.");var i=e.dtype||"float32";r.batchInputShape=a,r.dtype=i,r.inputSpec=[{shape:a}];var o=new nw(r.dtype,r.batchInputShape,xo(r),[],{},r.name);return o.nodeIndex=0,o.tensorIndex=0,new aw({outboundLayer:xo(r),inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:[o],outputTensors:[o],inputMasks:[null],outputMasks:[null],inputShapes:[a],outputShapes:[a]}),r}return vt(n,[{key:"apply",value:function(e,t){throw new ix("Cannot pass any input to an "+"InputLayer's apply() method. 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e=Fe(Pe().mark((function e(t,n){return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:case"end":return e.stop()}}),e)})));return function(t,n){return e.apply(this,arguments)}}()},{key:"onTrainBegin",value:function(){var e=Fe(Pe().mark((function e(t){return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:case"end":return e.stop()}}),e)})));return function(t){return e.apply(this,arguments)}}()},{key:"onTrainEnd",value:function(){var e=Fe(Pe().mark((function e(t){return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:case"end":return e.stop()}}),e)})));return function(t){return e.apply(this,arguments)}}()},{key:"setModel",value:function(e){}}]),e}(),pw=function(){function e(t){var n=arguments.length>1&&void 0!==arguments[1]?arguments[1]:10;ft(this,e),null==t&&(t=[]),this.callbacks=t,this.queueLength=n}return vt(e,[{key:"append",value:function(e){this.callbacks.push(e)}},{key:"setParams",value:function(e){var 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e=Fe(Pe().mark((function e(t,n){var r,a,i;return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:null==n&&(n={}),r=lt(this.callbacks),e.prev=2,r.s();case 4:if((a=r.n()).done){e.next=10;break}return i=a.value,e.next=8,i.onBatchEnd(t,n);case 8:e.next=4;break;case 10:e.next=15;break;case 12:e.prev=12,e.t0=e.catch(2),r.e(e.t0);case 15:return e.prev=15,r.f(),e.finish(15);case 18:case"end":return e.stop()}}),e,this,[[2,12,15,18]])})));return function(t,n){return e.apply(this,arguments)}}()},{key:"onTrainBegin",value:function(){var e=Fe(Pe().mark((function e(t){var n,r,a;return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:null==t&&(t={}),n=lt(this.callbacks),e.prev=2,n.s();case 4:if((r=n.n()).done){e.next=10;break}return a=r.value,e.next=8,a.onTrainBegin(t);case 8:e.next=4;break;case 10:e.next=15;break;case 12:e.prev=12,e.t0=e.catch(2),n.e(e.t0);case 15:return e.prev=15,n.f(),e.finish(15);case 18:case"end":return e.stop()}}),e,this,[[2,12,15,18]])})));return function(t){return e.apply(this,arguments)}}()},{key:"onTrainEnd",value:function(){var e=Fe(Pe().mark((function e(t){var n,r,a;return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:null==t&&(t={}),n=lt(this.callbacks),e.prev=2,n.s();case 4:if((r=n.n()).done){e.next=10;break}return a=r.value,e.next=8,a.onTrainEnd(t);case 8:e.next=4;break;case 10:e.next=15;break;case 12:e.prev=12,e.t0=e.catch(2),n.e(e.t0);case 15:return e.prev=15,n.f(),e.finish(15);case 18:case"end":return e.stop()}}),e,this,[[2,12,15,18]])})));return function(t){return e.apply(this,arguments)}}()}]),e}(),vw=function(e){mo(n,e);var t=wo(n);function n(){return ft(this,n),t.call(this)}return vt(n,[{key:"onEpochBegin",value:function(){var e=Fe(Pe().mark((function e(t){return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:this.seen=0,this.totals={};case 2:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}()},{key:"onBatchEnd",value:function(){var e=Fe(Pe().mark((function e(t,n){var r,a,i,o=this;return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:for(i in null==n&&(n={}),r=null==n.size?0:n.size,this.seen+=r,a=function(e){var t=n[e];if("number"===typeof t)o.totals.hasOwnProperty(e)||(o.totals[e]=0),o.totals[e]=o.totals[e]+t*r;else{var a;e in o.totals?a=o.totals[e]:o.totals[e]=0;var i=Qc((function(){return cl(o.totals[e],dl(t,r))}));o.totals[e]=i,null!=a&&a.dispose()}},n)a(i);case 5:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}()},{key:"onEpochEnd",value:function(){var e=Fe(Pe().mark((function e(t,n){var r,a,i,o=this;return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null==n){e.next=19;break}r=lt(this.params.metrics),e.prev=2,i=function(){var e=a.value;if(null==o.totals[e])return"continue";"number"===typeof o.totals[e]?n[e]=o.totals[e]/o.seen:Qc((function(){var t=dl(hl(1,o.seen),o.totals[e]);n[e]=t,o.totals[e].dispose(),Zc(n[e])}))},r.s();case 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null==n&&(n={}),this.epoch.push(t),n)null==this.history[r]&&(this.history[r]=[]),this.history[r].push(n[r]);case 3:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}()},{key:"syncData",value:function(){var e=Fe(Pe().mark((function e(){var t,n,r,a,i,o,s,u,c;return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:for(a in t=[],n=[],r=[],this.history)for(i=this.history[a],o=0;o<i.length;++o)"number"!==typeof i[o]&&(s=i[o],t.push(s.data()),n.push(a),r.push(o));return e.next=6,Promise.all(t);case 6:for(u=e.sent,c=0;c<u.length;++c)this.history[n[c]][r[c]].dispose(),this.history[n[c]][r[c]]=u[c][0];case 8:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}()}]),n}(fw),gw=function(e){mo(n,e);var t=wo(n);function n(e,r){var a;if(ft(this,n),(a=t.call(this)).currentEpoch=0,a.nowFunc=e.nowFunc,a.nextFrameFunc=e.nextFrameFunc||Zv,a.yieldEvery=r||"auto","auto"===a.yieldEvery&&(a.yieldEvery=125),"never"===a.yieldEvery&&null!=e.onYield)throw new Error("yieldEvery is `never` but you provided an `onYield` callback. 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Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(this.currentEpoch=t,null==this.epochBegin){e.next=6;break}return e.next=4,lw(n);case 4:return e.next=6,this.epochBegin(t,n);case 6:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}()},{key:"onEpochEnd",value:function(){var e=Fe(Pe().mark((function e(t,n){var r;return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(r=[],null==this.epochEnd){e.next=5;break}return e.next=4,lw(n);case 4:r.push(this.epochEnd(t,n));case 5:return"epoch"===this.yieldEvery&&r.push(this.nextFrameFunc()),e.next=8,Promise.all(r);case 8:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}()},{key:"onBatchBegin",value:function(){var e=Fe(Pe().mark((function e(t,n){return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null==this.batchBegin){e.next=5;break}return e.next=3,lw(n);case 3:return e.next=5,this.batchBegin(t,n);case 5:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}()},{key:"onBatchEnd",value:function(){var e=Fe(Pe().mark((function e(t,n){var r;return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(r=[],null==this.batchEnd){e.next=5;break}return e.next=4,lw(n);case 4:r.push(this.batchEnd(t,n));case 5:return"batch"===this.yieldEvery?r.push(this.nextFrameFunc()):$t(this.yieldEvery)&&r.push(this.maybeWait(this.currentEpoch,t,n)),e.next=8,Promise.all(r);case 8:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}()},{key:"onTrainBegin",value:function(){var e=Fe(Pe().mark((function e(t){return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null==this.trainBegin){e.next=5;break}return e.next=3,lw(t);case 3:return e.next=5,this.trainBegin(t);case 5:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}()},{key:"onTrainEnd",value:function(){var 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Its own _trainableWeights must remain an empty Array.");if(!this.trainable)return[];var e,t=[],n=lt(this.layers);try{for(n.s();!(e=n.n()).done;){var r=e.value;t=t.concat(r.trainableWeights)}}catch(oQ){n.e(oQ)}finally{n.f()}return t}},{key:"nonTrainableWeights",get:function(){var e,t=[],n=lt(this.layers);try{for(n.s();!(e=n.n()).done;){var r=e.value;t.push.apply(t,dt(r.nonTrainableWeights))}}catch(oQ){n.e(oQ)}finally{n.f()}if(!this.trainable){var a,i=[],o=lt(this.layers);try{for(o.s();!(a=o.n()).done;){var s=a.value;i.push.apply(i,dt(s.trainableWeights))}}catch(oQ){o.e(oQ)}finally{o.f()}return i.concat(t)}return t}},{key:"weights",get:function(){return this.trainableWeights.concat(this.nonTrainableWeights)}},{key:"loadWeights",value:function(e){var t,n=!(arguments.length>1&&void 0!==arguments[1])||arguments[1],r={},a=0,i=lt(this.layers);try{for(i.s();!(t=i.n()).done;){var o,s=t.value,u=lt(s.weights);try{for(u.s();!(o=u.n()).done;){var c=o.value;if(null!=r[c.originalName])throw new ix("Duplicate weight name: ".concat(c.originalName));r[c.originalName]=c,a++}}catch(oQ){u.e(oQ)}finally{u.f()}}}catch(oQ){i.e(oQ)}finally{i.f()}var l=[];for(var h in e){var d=h;if(null==r[h]){var f=h.split("/"),p=f.slice(0,-2).concat([f[f.length-1]]);d=p.join("/")}if(null!=r[d])l.push([r[d],e[h]]);else if(n)throw new ix("Provided weight data has no target variable: ".concat(h));delete r[d]}if(n){var v=[];for(var m in r)v.push(m);if(v.length>0)throw new ix("".concat(v.length," of ").concat(a," weights are not set: ")+"".concat(v))}ew(l)}},{key:"updatedConfig",value:function(){var e=this.getConfig(),t={};return t.className=this.getClassName(),t.config=e,t.kerasVersion="tfjs-layers ".concat(aS),t.backend="TensorFlow.js",t}},{key:"toJSON",value:function(e){var t=!(arguments.length>1&&void 0!==arguments[1])||arguments[1],n=rS(this.updatedConfig());return t?JSON.stringify(n):n}},{key:"call",value:function(e,t){var n=this;return Qc((function(){e=dx(e);for(var r=new iS,a=0;a<n.inputs.length;++a)r.add(n.inputs[a],e[a]);return uS(n.outputs,r,t)}))}},{key:"computeMask",value:function(e,t){var n=this;return Qc((function(){var r;return e=dx(e),r=null==t?ux(null,e.length):dx(t),n.runInternalGraph(e,r)[1]}))}},{key:"computeOutputShape",value:function(e){var t=Kk(e);if(t.length!==this.inputLayers.length)throw new ix("Invalid inputShape argument ".concat(e,": ")+"model has ".concat(this.inputLayers.length," tensor inputs."));for(var n={},r=0;r<t.length;r++){var a=this.inputLayers[r],i=t[r];n[a.name+"_0_0"]=i}var o=Object.keys(this.nodesByDepth).map((function(e){return parseInt(e,10)})).sort(bx);if(o.length>1){var s,u=lt(o);try{for(u.s();!(s=u.n()).done;){var c,l=s.value,h=lt(this.nodesByDepth[l]);try{for(h.s();!(c=h.n()).done;){var d=c.value,f=d.outboundLayer;if(-1===this.inputLayers.map((function(e){return e.id})).indexOf(f.id)){for(var p=[],v=0;v<d.inboundLayers.length;v++){var m=d.inboundLayers[v],g=d.nodeIndices[v],y=d.tensorIndices[v],b=n["".concat(m.name,"_").concat(g,"_").concat(y)];p.push(b)}for(var x=Kk(f.computeOutputShape(hx(p))),k=f.inboundNodes.indexOf(d),w=0;w<x.length;w++){n["".concat(f.name,"_").concat(k,"_").concat(w)]=x[w]}}}}catch(oQ){h.e(oQ)}finally{h.f()}}}catch(oQ){u.e(oQ)}finally{u.f()}}for(var S=[],N=[],I=0;I<this.outputLayers.length;I++){var T=this.outputLayers[I],C=this.outputLayersNodeIndices[I],E=this.outputLayersTensorIndices[I],_="".concat(T.name,"_").concat(C,"_").concat(E);N.push(_)}for(var A=0;A<N.length;A++){var R=N[A];cx(R in n),S.push(n[R])}return hx(S)}},{key:"runInternalGraph",value:function(e,t){null==t&&(t=ux(null,e.length));for(var n={},r=0;r<this.inputs.length;++r){var a=this.inputs[r],i=e[r],o=t[r];n[a.id]=[i,o]}var s,u=Object.keys(this.nodesByDepth).map((function(e){return parseInt(e,10)})).sort(bx),c=lt(u);try{for(c.s();!(s=c.n()).done;){var l,h=s.value,d=lt(this.nodesByDepth[h]);try{for(d.s();!(l=d.n()).done;){var f,p=l.value,v=p.outboundLayer,m=p.inputTensors,g=p.outputTensors,y=new Array,b=lt(m);try{for(b.s();!(f=b.n()).done;){var x=f.value;x.id in n&&y.push(n[x.id])}}catch(oQ){b.e(oQ)}finally{b.f()}if(y.length===m.length){var k={},w=void 0,S=void 0,N=void 0,I=void 0;if(null!=p.callArgs&&(k=p.callArgs),1===y.length){var T=G(y[0],2),C=T[0],E=T[1];null==k.mask&&(k.mask=E),N=dx(v.call(C,k)),I=dx(v.computeMask(C,E)),w=[C],S=[E]}else w=y.map((function(e){return e[0]})),S=y.map((function(e){return e[1]})),null==k.mask&&(k.mask=S),N=dx(v.call(w,k)),I=dx(v.computeMask(w,S));if(v.activityRegularizer)throw new ox("LayersModel invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.");for(var _=0;_<g.length;++_){var A=g[_],R=N[_],D=I[_];n[A.id]=[R,D]}}}}catch(oQ){d.e(oQ)}finally{d.f()}}}catch(oQ){c.e(oQ)}finally{c.f()}var M,O=[],F=[],L=[],P=lt(this.outputs);try{for(P.s();!(M=P.n()).done;){var z=M.value;cx(z.id in n,"Could not compute output ".concat(z.name," : ").concat(z.id));var B=G(n[z.id],2),W=B[0],V=B[1];L.push(W.shape),O.push(W),F.push(V)}}catch(oQ){P.e(oQ)}finally{P.f()}return[O,F,L]}},{key:"buildNodeConversionMap",value:function(e){var t,r,a={},i=lt(this.layers);try{for(i.s();!(r=i.n()).done;){var o=r.value;t=o instanceof n?1:0;for(var s=0;s<o.inboundNodes.length;s++){var u=n.nodeKey(o,s);this.containerNodes.has(u)&&(a[u]=t,t+=1)}}}catch(oQ){i.e(oQ)}finally{i.f()}return a}},{key:"getLayer",value:function(e,t){if(null!=t){if(this.layers.length<=t)throw new ix("Was asked to retrieve layer at index ".concat(t,", but model only ")+"has ".concat(this.layers.length," layer(s)."));return this.layers[t]}if(null==e)throw new ix("Provide either a layer name or layer index");var n,r=lt(this.layers);try{for(r.s();!(n=r.n()).done;){var a=n.value;if(a.name===e)return a}}catch(oQ){r.e(oQ)}finally{r.f()}throw new ix("No such layer: ".concat(e))}},{key:"calculateLosses",value:function(){var e=this;return Qc((function(){var t,r=[],a=lt(e.layers);try{for(a.s();!(t=a.n()).done;)for(var i=t.value,o=0;o<i.inboundNodes.length;++o){var s=n.nodeKey(i,o);e.containerNodes.has(s)&&r.push.apply(r,dt(i.calculateLosses()))}}catch(oQ){a.e(oQ)}finally{a.f()}return r}))}},{key:"getConfig",value:function(){var e,t={name:this.name},r=this.buildNodeConversionMap(this.layers),a=[],i=lt(this.layers);try{for(i.s();!(e=i.n()).done;){for(var o=e.value,s=o.getClassName(),u=o.getConfig(),c=[],l=0;l<o.inboundNodes.length;l++){var h=o.inboundNodes[l],d=n.nodeKey(o,l),f={};if(this.containerNodes.has(d)){if(h.callArgs)try{JSON.stringify(h.callArgs),f=h.callArgs}catch(oQ){console.warn("Layer ".concat(o.name," was passed ")+"non-serializable keyword arguments: "+"".concat(h.callArgs,". They will not be included ")+"in the serialized model (and thus will be missing at deserialization time)."),f={}}if(h.inboundLayers.length>0){for(var p=[],v=0;v<h.inboundLayers.length;v++){var m=h.inboundLayers[v],g=h.nodeIndices[v],y=h.tensorIndices[v],b=r[n.nodeKey(m,g)];null==b&&(b=0),p.push([m.name,b,y,f])}c.push(p)}}}var x={};x.name=o.name,x.className=s,x.config=u,x.inboundNodes=c,a.push(x)}}catch(oQ){i.e(oQ)}finally{i.f()}t.layers=a;for(var k=[],w=0;w<this.inputLayers.length;w++){var S=this.inputLayers[w],N=this.inputLayersNodeIndices[w],I=n.nodeKey(S,N);if(this.containerNodes.has(I)){var T=r[I];null!==T&&void 0!==T||(T=0);var C=this.inputLayersTensorIndices[w];k.push([S.name,T,C])}}t.inputLayers=k;for(var E=[],_=0;_<this.outputLayers.length;_++){var A=this.outputLayers[_],R=this.outputLayersNodeIndices[_],D=n.nodeKey(A,R);if(this.containerNodes.has(D)){var M=r[D];null!==M&&void 0!==M||(M=0);var O=this.outputLayersTensorIndices[_];E.push([A.name,M,O])}}return t.outputLayers=E,t}},{key:"stateful",get:function(){if(this._stateful)throw new ix("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.");var e,t=lt(this.layers);try{for(t.s();!(e=t.n()).done;){if(e.value.stateful)return!0}}catch(oQ){t.e(oQ)}finally{t.f()}return!1}},{key:"resetStates",value:function(){var e=this;Qc((function(){e.layers.forEach((function(e){e.stateful&&e.resetStates()}))}))}}],[{key:"fromConfig",value:function(e,t){var n=arguments.length>3&&void 0!==arguments[3]&&arguments[3],r={},a={};function i(e,t){e.name in a?a[e.name].push(t):a[e.name]=[t]}function o(e,t){var n,a,o=[],s=lt(t);try{for(s.s();!(a=s.n()).done;){var u=a.value,c=u[0],l=u[1],h=u[2];if(n=null==u[3]?{}:u[3],!(c in r))return void i(e,t);var d=r[c];if(d.inboundNodes.length<=l)return void i(e,t);var f=d.inboundNodes[l];o.push(f.outputTensors[h])}}catch(oQ){s.e(oQ)}finally{s.f()}o.length>0&&e.apply(hx(o),n)}function s(e){var a=e.name,o=Sw(e,null!=t.customObjects?t.customObjects:{});o.setFastWeightInitDuringBuild(n),r[a]=o,e.inboundNodes.forEach((function(e){if(!(e instanceof Array))throw new ix("Corrupted configuration, expected array for nodeData: ".concat(e));i(o,e)}))}var u,c=t.name,l=t.layers,h=lt(l);try{for(h.s();!(u=h.n()).done;){var d=u.value;s(d)}}catch(oQ){h.e(oQ)}finally{h.f()}for(;!kx(a);){var f,p=lt(l);try{for(p.s();!(f=p.n()).done;){var v=f.value,m=r[v.name];if(m.name in a){var g=a[m.name];delete a[m.name];var y,b=lt(g);try{for(b.s();!(y=b.n()).done;){var x=y.value;o(m,x)}}catch(oQ){b.e(oQ)}finally{b.f()}}}}catch(oQ){p.e(oQ)}finally{p.f()}}var k,w=[],S=[],N=t.inputLayers,I=lt(N);try{for(I.s();!(k=I.n()).done;){var T=k.value,C=T[0],E=T[1],_=T[2];cx(C in r);var A=r[C],R=A.inboundNodes[E].outputTensors;w.push(R[_])}}catch(oQ){I.e(oQ)}finally{I.f()}var D,M=t.outputLayers,O=lt(M);try{for(O.s();!(D=O.n()).done;){var F=D.value,L=F[0],P=F[1],z=F[2];cx(L in r);var B=r[L],W=B.inboundNodes[P].outputTensors;S.push(W[z])}}catch(oQ){O.e(oQ)}finally{O.f()}return new e({inputs:w,outputs:S,name:c})}}]),n}(ow);function fS(e,t,n){var r=t.length;if(null==e||Array.isArray(e)&&0===e.length)return t.map((function(e){return null}));if(1===r)return Array.isArray(e)&&1===e.length?e:"object"===typeof e&&t[0]in e?[e[t[0]]]:[e];if(Array.isArray(e)){if(e.length!==r)throw new Error("Provided ".concat(n," is an array of ").concat(e.length," ")+"element

2)),Ct(null==r.validationSplit,(function(){return"`validationSplit` is not supported by `fitDataset()`. Use validationData instead."})),!t.isTraining){e.next=8;break}throw new Error("Cannot start training because another fit() call is ongoing.");case 8:return t.isTraining=!0,e.prev=9,(i=null!=r.validationData)&&(NS(r.validationData)?Ct(null==r.validationBatches||r.validationBatches>0&&Number.isInteger(r.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 ".concat(r.validationBatches)})):(u=xS(r.validationData),o=u.xs,s=u.ys)),c=t.makeTrainFunction(),l=t.getDedupedMetricsNames(),h=i?l.slice().concat(l.map((function(e){return"val_"+e}))):l.slice(),d=yw(r.callbacks,r.yieldEvery),f=null==r.verbose?1:r.verbose,p=xw(d,f,r.epochs,null,null,SS(n,r),null,i,h),v=p.callbackList,m=p.history,v.setModel(t),t.history=m,e.next=22,v.onTrainBegin();case 22:return t.stopTraining_=!1,g=null==r.initialEpoch?0:r.initialEpoch,e.next=26,n.iterator();case 26:y=e.sent;case 27:if(!(g<r.epochs)){e.next=98;break}return b={},e.next=31,v.onEpochBegin(g);case 31:if(x=0,k=0,a){e.next=37;break}return e.next=36,n.iterator();case 36:y=e.sent;case 37:if(a&&!(x<r.batchesPerEpoch)){e.next=91;break}return e.next=40,y.next();case 40:if(w=e.sent,!a||!w.done){e.next=44;break}return console.warn("You provided `batchesPerEpoch` as "+"".concat(r.batchesPerEpoch,", ")+"but your dataset iterator ran out of data after "+"".concat(x," batches; ")+"interrupting training. Make sure that your dataset can generate at least `batchesPerEpoch * epochs` batches (in this case, "+"".concat(r.batchesPerEpoch*r.epochs," batches). ")+"You may need to use the repeat() function when building your dataset."),e.abrupt("break",91);case 44:if(null==w.value){e.next=73;break}return S=yS(t,w.value),N=S.xs,I=S.ys,(T={}).batch=k,T.size=N[0].shape[0],e.next=51,v.onBatchBegin(k,T);case 51:if(C=[],null==r.classWeight){e.next=64;break}E=pS(r.classWeight,t.outputNames),_=0;case 55:if(!(_<E.length)){e.next=64;break}return e.t0=C,e.next=59,vS(I[_],null,E[_]);case 59:e.t1=e.sent,e.t0.push.call(e.t0,e.t1);case 61:++_,e.next=55;break;case 64:for(A=N.concat(I).concat(C),R=c(A),Jc(A),D=0;D<l.length;++D)M=l[D],O=R[D],T[M]=O,Zc(O);return e.next=70,v.onBatchEnd(k,T);case 70:dw(T),k++,x++;case 73:if(!(a?x>=r.batchesPerEpoch:w.done)){e.next=87;break}if(!i){e.next=86;break}if(F=void 0,!NS(r.validationData)){e.next=84;break}return e.t2=dx,e.next=80,t.evaluateDataset(r.validationData,{batches:r.validationBatches});case 80:e.t3=e.sent,F=(0,e.t2)(e.t3),e.next=85;break;case 84:F=dx(t.evaluate(o,s,{batchSize:null==r.validationBatchSize?32:r.validationBatchSize,verbose:0}));case 85:for(L=0;L<t.metricsNames.length;++L)b["val_".concat(t.metricsNames[L])]=F[L];case 86:return e.abrupt("break",91);case 87:if(!t.stopTraining_){e.next=89;break}return e.abrupt("break",91);case 89:e.next=37;break;case 91:return e.next=93,v.onEpochEnd(g,b);case 93:if(g++,!t.stopTraining_){e.next=96;break}return e.abrupt("break",98);case 96:e.next=27;break;case 98:return e.next=100,v.onTrainEnd();case 100:return e.next=102,t.history.syncData();case 102:return e.abrupt("return",t.history);case 103:return e.prev=103,t.isTraining=!1,e.finish(103);case 106:case"end":return e.stop()}}),e,null,[[9,,103,106]])}))),wS.apply(this,arguments)}function SS(e,t){var n=null;return null!=t.batchesPerEpoch?n=t.batchesPerEpoch:Number.isFinite(e.size)&&(n=e.size),n}function NS(e){return"function"===typeof e.iterator}function IS(e){return"function"===typeof e.next}function TS(e,t,n){return CS.apply(this,arguments)}function CS(){return CS=Fe(Pe().mark((function e(t,n,r){var a,i,o,s,u,c,l,h,d;return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(a=null!=(r=r||{}).batches,i=t.testFunction,o=[],!(r.verbose>0)){e.next=6;break}throw new ox("Verbose mode is not implemented yet.");case 6:if(Ct(!a||r.batches>0&&Number.isInteger(r.batches),(function(){return"Test loop expects `batches` to be a positive integer, but "+"received ".concat(JSON.stringify(r.batches))})),!IS(n)){e.next=11;break}e.t0=n,e.next=14;break;case 11:return e.next=13,n.iterator();case 13:e.t0=e.sent;case 14:s=e.t0,u=0,c=0,l=Pe().mark((function e(){var n;return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,s.next();case 2:if(n=e.sent,o=Qc((function(){return n.value&&function(){var e=yS(t,n.value),r=e.xs,a=e.ys,s=r.concat(a),l=Qc((function(){return i(s)}));if(Jc(s),0===c)for(var h=0;h<l.length;++h)o.push(Sl(0));for(var d=s[0].shape[0],f=function(e){var t=l[e],n=o[e];o[e]=Qc((function(){return cl(o[e],dl(d,t))})),c>0&&Jc(n)},p=0;p<l.length;++p)f(p);Jc(l),u+=d,++c}(),o})),!n.done){e.next=7;break}return a&&console.warn("Your dataset iterator ran out of data during evaluateDataset(). 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"+"".concat(a.validationData," is invalid."));case 27:return b=!0,e.next=30,t.standardizeUserData(c,l,null,null,b,p);case 30:x=e.sent,h=x[0],d=x[1],y=h.concat(d),e.next=37;break;case 36:null!=a.validationSplit&&a.validationSplit>0&&a.validationSplit<1?(g=!0,k=Math.floor(i[0].shape[0]*(1-a.validationSplit)),w=i[0].shape[0],h=_S(i,k,w),s=i,i=_S(i,0,k),d=_S(o,k,w),u=o,o=_S(o,0,k),y=h.concat(d)):null!=a.validationSteps&&(g=!0);case 37:return S=i.concat(o).concat(f),t.checkTrainableWeightsConsistency(),N=t.makeTrainFunction(),I=t.getDedupedMetricsNames(),g?(t.makeTestFunction(),T=t.testFunction,C=I.slice().concat(I.map((function(e){return"val_"+e})))):(T=null,y=[],C=I.slice()),E=yw(a.callbacks,a.yieldEvery),e.next=45,DS(t,N,S,I,p,a.epochs,a.verbose,E,T,y,a.shuffle,C,a.initialEpoch,null,null);case 45:return _=e.sent,e.abrupt("return",_);case 47:return e.prev=47,t.isTraining=!1,PS(i,n),PS(o,r),PS(s,n),PS(u,r),PS(h,c),PS(d,l),null!=f&&Jc(f),e.finish(47);case 57:case"end":return e.stop()}}),e,null,[[4,,47,57]])}))),FS.apply(this,arguments)}function LS(e){var t=[];e instanceof Ro&&(e=[e]);for(var n=0;n<e.length;++n){var r=e[n];if(1===r.rank)t.push(rk(r,1));else{if(0===r.rank)throw new Error("Expected tensor to be at least 1D, but received a 0D tensor (scalar).");t.push(r)}}return t}function PS(e,t){if(null!=e){var n=[];if(t instanceof Ro)n.push(t.id);else if(Array.isArray(t))t.forEach((function(e){return n.push(e.id)}));else if(null!=t)for(var r in t){var a=t[r];n.push(a.id)}var i=[];if(e instanceof Ro)-1===n.indexOf(e.id)&&i.push(e);else if(Array.isArray(e))e.forEach((function(e){-1===n.indexOf(e.id)&&i.push(e)}));else if(null!=e)for(var o in e){var s=e[o];-1===n.indexOf(s.id)&&i.push(s)}i.forEach((function(e){e.isDisposed||e.dispose()}))}}function zS(e){return Array.isArray(e)}function BS(e){return!function(e){return e instanceof Ro}(e)&&!zS(e)}function WS(e,t,n){var r,a=!(arguments.length>3&&void 0!==arguments[3])||arguments[3],i=arguments.length>4&&void 0!==arguments[4]?arguments[4]:"";if(null==t||0===t.length){if(null!=e){var o=!1;if(zS(e)&&e.length>0)o=!0;else if(BS(e)){for(var s in e)if(e.hasOwnProperty(s)){o=!0;break}}else o=!0;if(o)throw new ix("Error when checking model ".concat(i," expected no data, ")+"but got ".concat(e))}return[]}if(null==e)return t.map((function(e){return null}));if(BS(e)){e=e,r=[];var u,c=lt(t);try{for(c.s();!(u=c.n()).done;){var l=u.value;if(null==e[l])throw new ix('No data provided for "'.concat(l,'". Need data for each key in: ')+"".concat(t));r.push(e[l])}}catch(oQ){c.e(oQ)}finally{c.f()}}else if(zS(e)){if((e=e).length!==t.length)throw new ix("Error when checking model ".concat(i,": the Array of ")+"Tensors that you are passing to your model is not the size the "+"model expected. Expected to see ".concat(t.length," Tensor(s), but ")+"instead got the following list of Tensor(s): ".concat(e));r=e}else{if(e=e,t.length>1)throw new ix("The model ".concat(i," expects ").concat(t.length," Tensor(s), ")+"but only received one Tensor. Found: Tensor with shape ".concat(e.shape));r=[e]}if(r=LS(r),null!=n)for(var h=0;h<t.length;++h)if(null!=n[h]){var d=r[h];if(d.shape.length!==n[h].length)throw new ix("Error when checking ".concat(i,": expected ").concat(t[h]," ")+"to have ".concat(n[h].length," dimension(s). but got array with ")+"shape ".concat(d.shape));for(var f=0;f<n[h].length;++f)if(0!==f||a){var p=d.shape[f],v=n[h][f];if(null!=v&&v>=0&&p!==v)throw new ix("".concat(i," expected a batch of elements where each ")+"example has shape [".concat(n[h].slice(1,n[h].length),"] ")+"(i.e.,tensor shape [*,".concat(n[h].slice(1,n[h].length),"])")+" but the ".concat(i," received an input with ").concat(d.shape[0])+" examples, each with shape [".concat(d.shape.slice(1,d.shape.length),"]")+" (tensor shape [".concat(d.shape,"])"))}}return r}function VS(e,t,n){var r=xx(e.map((function(e){return e.shape[0]})));r.sort();var a=xx(t.map((function(e){return e.shape[0]})));if(a.sort(),r.length>1)throw new ix("All input Tensors (x) should have the same number of samples. Got array shapes: "+"".concat(JSON.stringify(e.map((function(e){return e.shape})))));if(a.length>1)throw new ix("All target Tensors (y) should have the same number of samples. Got array shapes: "+"".concat(JSON.stringify(t.map((function(e){return e.shape})))));if(r.length>0&&a.length>0&&!Mt(r,a))throw new ix("Input Tensors should have the same number of samples as target "+"Tensors. Found ".concat(r[0]," input sample(s) and ").concat(a[0]," target ")+"sample(s).")}function jS(e,t,n){for(var r=[Iw,Rw,_w],a=0;a<e.length;++a){var i=e[a],o=t[a],s=n[a];if(null!=o){if(o===_w&&1===i.shape[i.shape.length-1])throw new ix("You are passing a target array of shape ".concat(i.shape," while using ")+"a loss 'categorical_crossentropy'. 'categorical_crossentropy'expects targets to be binary matrices (1s and 0s) of shape [samples, classes].");if(-1!==r.indexOf(o))for(var u=i.shape.slice(1),c=s.slice(1),l=0;l<u.length;++l){var h=u[l],d=c[l];if(null!=d&&h!==d)throw new ix("A target Tensor with shape ".concat(i.shape," was passed for an ")+"output of shape ".concat(s,", while using a loss function that ")+"expects targets to have the same shape as the output.")}}}}function US(e,t,n){var r,a=!(arguments.length>3&&void 0!==arguments[3])||arguments[3],i=arguments.length>4&&void 0!==arguments[4]?arguments[4]:"";if(Array.isArray(e)){if(e.length!==t.length)throw new ix("Error when checking model ".concat(i,": the Array of ")+"Tensors that you are passing to your model is not the size the "+"the model expected. Expected to see ".concat(t.length," Tensor(s),")+" but instead got ".concat(e.length," Tensors(s)."));r=e}else{if(t.length>1)throw new ix("The model expects ".concat(t.length," ").concat(i," Tensors, ")+"but only received one Tensor. 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Qc((function(){var o=r.checkNumSamples(t,n,i,"steps"),s=[];if(a>0)throw new ox("Verbose mode is not implemented yet.");if(null!=i)throw new ox("steps mode in testLoop() is not implemented yet");for(var u=RS(o,n),c=rp(tk(0,o)),l=0;l<u.length;++l){var h=u[l][0],d=u[l][1],f=ik(c,h,d-h),p=AS(t,f),v=e(p);if(0===l)for(var m=0;m<v.length;++m)s.push(Sl(0));for(var g=0;g<v.length;++g){var y=v[g];s[g]=cl(s[g],dl(d-h,y))}}for(var b=0;b<s.length;++b)s[b]=hl(s[b],o);return s}))}},{key:"getDedupedMetricsNames",value:function(){for(var e=this.metricsNames,t=[],n=0;n<e.length;++n){var r=e[n],a=r;if(lx(e,r)>1){var i=lx(e.slice(0,n),r);a+="_".concat(i)}t.push(a)}return t}},{key:"makeTrainFunction",value:function(){var e=this;return function(t){var n=[],r=t.slice(0,e.inputs.length),a=t.slice(e.inputs.length,e.inputs.length+e.outputs.length),i=t.slice(e.inputs.length+e.outputs.length,e.inputs.length+2*e.outputs.length),o=[],s=e.collectedTrainableWeights.map((function(e){return e.read()})),u=e.optimizer_.minimize((function(){for(var t=[],s=0;s<e.inputs.length;++s)t.push({key:e.inputs[s],value:r[s]});for(var u,c=new iS(t),l=uS(e.outputs,c,{training:!0}),h=0;h<e.lossFunctions.length;++h){var d=(0,e.lossFunctions[h])(a[h],l[h]);null!=i[h]&&(d=gS(d,i[h]));var f=Hd(d);n.push(f),u=0===h?d:cl(u,d)}for(var p=0;p<e.metricsTensors.length;++p){var v=void 0;if(e.outputs.length>1&&p<e.outputs.length)v=n[p];else{var m=e.metricsTensors[p][0],g=e.metricsTensors[p][1];v=Hd(m(a[g],l[g]))}Zc(v),o.push(v)}return u=Hd(u),e.calculateLosses().forEach((function(e){u=cl(u,e)})),u}),!0,s);return[u].concat(o)}}},{key:"makeTestFunction",value:function(){var e=this;this.testFunction=function(t){return Qc((function(){for(var n,r=[],a=t.slice(0,e.inputs.length),i=t.slice(e.inputs.length,e.inputs.length+e.outputs.length),o=[],s=0;s<e.inputs.length;++s)o.push({key:e.inputs[s],value:a[s]});for(var u=new iS(o),c=uS(e.outputs,u),l=0;l<e.lossFunctions.length;++l){var h=e.lossFunctions[l],d=Hd(h(i[l],c[l]));n=0===l?d:cl(n,d),r.push(n)}for(var f=0;f<e.metricsTensors.length;++f){var p=e.metricsTensors[f][0],v=e.metricsTensors[f][1],m=Hd(p(i[v],c[v]));r.push(m)}return r}))}}},{key:"fit",value:function(){var e=Fe(Pe().mark((function e(t,n){var r,a=arguments;return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return r=a.length>2&&void 0!==a[2]?a[2]:{},e.abrupt("return",OS(this,t,n,r));case 2:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}()},{key:"fitDataset",value:function(){var e=Fe(Pe().mark((function e(t,n){return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",kS(this,t,n));case 1:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}()},{key:"trainOnBatch",value:function(){var e=Fe(Pe().mark((function e(t,n){var r,a,i,o,s,u,c,l,h,d;return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return 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this.optimizer_},set:function(e){this.optimizer_!==e&&(this.optimizer_=e,this.isOptimizerOwned=!1)}},{key:"dispose",value:function(){var e=ww(go(n.prototype),"dispose",this).call(this);if(0===e.refCountAfterDispose&&null!=this.optimizer&&this.isOptimizerOwned){var t=Xc().numTensors;this.optimizer_.dispose(),e.numDisposedVariables+=t-Xc().numTensors}return e}},{key:"getLossIdentifiers",value:function(){var e;if("string"===typeof this.loss)e=fx(this.loss);else if(Array.isArray(this.loss)){var t,n=lt(this.loss);try{for(n.s();!(t=n.n()).done;){if("string"!==typeof t.value)throw new Error("Serialization of non-string loss is not supported.")}}catch(oQ){n.e(oQ)}finally{n.f()}e=this.loss.map((function(e){return fx(e)}))}else{var r=Object.keys(this.loss);e={};for(var a=this.loss,i=0,o=r;i<o.length;i++){var s=o[i];if("string"!==typeof a[s])throw new Error("Serialization of non-string loss is not supported.");e[s]=fx(a[s])}}return e}},{key:"getMetricIdentifiers",value:function(){if("string"===typeof this.metrics||"function"===typeof this.metrics)return[fx(Gw(this.metrics))];if(Array.isArray(this.metrics))return this.metrics.map((function(e){return fx(Gw(e))}));var e={};for(var t in this.metrics)e[t]=fx(Gw(this.metrics[t]));return e}},{key:"getTrainingConfig",value:function(){return{loss:this.getLossIdentifiers(),metrics:this.getMetricIdentifiers(),optimizer_config:{class_name:this.optimizer.getClassName(),config:this.optimizer.getConfig()}}}},{key:"loadTrainingConfig",value:function(e){if(null!=e.weighted_metrics)throw new Error("Loading weight_metrics is not supported yet.");if(null!=e.loss_weights)throw new Error("Loading loss_weights is not supported yet.");if(null!=e.sample_weight_mode)throw new Error("Loading sample_weight_mode is not supported yet.");var t,n,r=Sw(nS(e.optimizer_config));if("string"===typeof e.loss)t=px(e.loss);else if(Array.isArray(e.loss))t=e.loss.map((function(e){return px(e)}));else if(null!=e.loss)for(var a in t={},e.loss)t[a]=px(e.loss[a]);if(Array.isArray(e.metrics))n=e.metrics.map((function(e){return px(e)}));else if(null!=e.metrics)for(var i in n={},e.metrics)n[i]=px(e.metrics[i]);this.compile({loss:t,metrics:n,optimizer:r})}},{key:"save",value:function(){var e=Fe(Pe().mark((function e(t,n){var r,i,o,s,u,c,l,h,d;return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if("string"!==typeof t){e.next=9;break}if(0!==(r=Os(t)).length){e.next=6;break}throw new ix("Cannot find any save handlers for URL '".concat(t,"'"));case 6:if(!(r.length>1)){e.next=8;break}throw new ix("Found more than one (".concat(r.length,") save handlers for ")+"URL '".concat(t,"'"));case 8:t=r[0];case 9:if(null!=t.save){e.next=11;break}throw new ix("LayersModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");case 11:return e.next=13,ms(this.getNamedWeights(n));case 13:if(i=e.sent,!1,null,o=this.toJSON(null,false),s={modelTopology:o,format:"layers-model",generatedBy:"TensorFlow.js tfjs-layers v".concat(aS),convertedBy:null},!(null!=n&&n.includeOptimizer)||null==this.optimizer){e.next=34;break}return s.trainingConfig=this.getTrainingConfig(),c="optimizer",e.t0=a,e.next=25,this.optimizer.getWeights();case 25:return e.t1=e.sent,e.t2=c,e.next=29,e.t0.encodeWeights.call(e.t0,e.t1,e.t2);case 29:l=e.sent,h=l.data,d=l.specs,(u=i.specs).push.apply(u,dt(d)),i.data=Ns([i.data,h]);case 34:return null!=this.userDefinedMetadata&&(!0,Kw(this.userDefinedMetadata,this.name,true),s.userDefinedMetadata=this.userDefinedMetadata),s.weightData=i.data,s.weightSpecs=i.specs,e.abrupt("return",t.save(s));case 38:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}()},{key:"setUserDefinedMetadata",value:function(e){Kw(e,this.name),this.userDefinedMetadata=e}},{key:"getUserDefinedMetadata",value:function(){return this.userDefinedMetadata}}]),n}(dS);HS.className="Model",_c(HS);var GS=function(e){mo(n,e);var t=wo(n);function n(){return ft(this,n),t.apply(this,arguments)}return vt(n)}(HS);GS.className="Functional",_c(GS);var qS=function(e){mo(n,e);var t=wo(n);function n(e){var r;if(ft(this,n),e=e||{},(r=t.call(this,{inputs:[],outputs:[]})).trainable=!0,r.built=!1,r.name=null!=e.name?e.name:Gk("sequential_"),null!=e.layers){var a,i=lt(e.layers);try{for(i.s();!(a=i.n()).done;){var o=a.value;r.add(o)}}catch(oQ){i.e(oQ)}finally{i.f()}}return r}return vt(n,[{key:"checkShape",value:function(e){if(e.inboundNodes[0].outputTensors[0].shape.some((function(e){return e<0})))throw new ix("Negative dimension size caused by adding layer "+"".concat(e.name," with input shape [")+"".concat(e.inboundNodes[0].inputTensors[0].shape,"]"))}},{key:"add",value:function(e){var t,r=e instanceof n||e instanceof HS;if(r){if(1!==(t=e).outputs.length)throw new ix("All layers in a Sequential model should have a single output 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For multi-output layers, use the functional API.");if(1!==t.inputs.length)throw new ix("All layers in a Sequential model should have a single input tensor. For multi-input layers, use the functional API.")}if(0===this.outputs.length){if(0===e.inboundNodes.length){if(null==e.batchInputShape)throw new ix("The first layer in a Sequential model must get an `inputShape` or `batchInputShape` argument.");var a=function(e){if(null==e.batchShape&&null==e.shape)throw new Error("Please provide to Input either a `shape` or a `batchShape` argument. Note that `shape` does not include the batch dimension.");if(null!=e.batchShape&&null!=e.shape)throw new ix("Please provide either a `shape` or `batchShape` argument to Input, but not both.");var t=e.batchShape;null!=e.shape&&null==t&&(t=[null].concat(e.shape));var n=e.dtype;return null==n&&(n="float32"),new cw({batchInputShape:t,name:e.name,dtype:n,sparse:e.sparse}).inboundNodes[0].outputTensors[0]}({batchShape:e.batchInputShape,dtype:e.dtype,name:e.name+"_input"});e.apply(a)}if(r)this.outputs=t.outputs,this.inputs=t.inputs;else{if(1!==e.inboundNodes.length)throw new ix("A layer added to a Sequential model must not already be "+"connected somewhere else. LayersModel received layer ".concat(e.name," ")+"which has ".concat(e.inboundNodes.length," pre-existing inbound ")+"connections.");if(1!==e.inboundNodes[0].outputTensors.length)throw new ix("All layers in a Sequential model should have a single output tensor. 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function(t,n){return e.apply(this,arguments)}}()},{key:"fitDataset",value:function(){var e=Fe(Pe().mark((function e(t,n){return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(this.built){e.next=2;break}throw new ax("The model needs to be compiled before being used.");case 2:return e.abrupt("return",this.model.fitDataset(t,n));case 3:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}()},{key:"trainOnBatch",value:function(){var e=Fe(Pe().mark((function e(t,n){return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",this.model.trainOnBatch(t,n));case 1:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}()},{key:"stopTraining",get:function(){if(null==this.model)throw new ix("Cannot get the stopTraining property of a sequential model before it is compiled.");return this.model.stopTraining},set:function(e){if(null==this.model)throw new ix("Cannot set the stopTraining property of a sequential model before it is compiled.");this.model.stopTraining=e}},{key:"getConfig",value:function(){var e,t=[],n=lt(this.layers);try{for(n.s();!(e=n.n()).done;){var r=e.value,a={};a.className=r.getClassName(),a.config=r.getConfig(),t.push(a)}}catch(oQ){n.e(oQ)}finally{n.f()}return{name:this.name,layers:t}}}],[{key:"fromConfig",value:function(e,t){var r,a=arguments.length>3&&void 0!==arguments[3]&&arguments[3],i={};if(t instanceof Array){if(null==t[0].className||"Merge"===t[0].className)throw new ix("Legacy serialization format not supported yet.");r=t}else Ct(null!=t.layers,(function(){return"When the config data for a Sequential model is not an Array, it must be an Object that contains the 'layers' field."})),r=t.layers,delete t.layers,i=t;var o=new e(i);if(!(o instanceof n))throw new ox("Sequential.fromConfig called on non-Sequential input: ".concat(o));var s,u=lt(r);try{for(u.s();!(s=u.n()).done;){var c=s.value,l=void 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n,r=lt(this.sharedAxes);try{for(r.s();!(n=r.n()).done;){t[n.value-1]=1}}catch(oQ){r.e(oQ)}finally{r.f()}}this.alpha=this.addWeight("alpha",t,"float32",this.alphaInitializer,this.alphaRegularizer,!0,this.alphaConstraint);var a={};if(null!=this.sharedAxes)for(var i=1;i<e.length;++i)a[i]=e[i];this.inputSpec=[new tw({ndim:e.length,axes:a})],this.built=!0}},{key:"call",value:function(e,t){return e=Xk(e),df(e,this.alpha.read())}},{key:"getConfig",value:function(){var e={alphaInitializer:Wk(this.alphaInitializer),alphaRegularizer:vN(this.alphaRegularizer),alphaConstraint:Ox(this.alphaConstraint),sharedAxes:this.sharedAxes},t=ww(go(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(ow);xN.className="PReLU",_c(xN);var kN=function(e){mo(n,e);var t=wo(n);function n(e){var r;if(ft(this,n),(r=t.call(this,null==e?{}:e)).DEFAULT_ALPHA=1,null==e&&(e={}),null!=e.alpha&&e.alpha!==r.DEFAULT_ALPHA)throw new ox("Non-default alpha value (".concat(e.alpha,") is not supported by the 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ft(this,n),(r=t.call(this,null==e?{}:e)).DEFAULT_AXIS=1,null==e&&(e={}),r.softmax=(new aN).apply,r.axis=null==e.axis?r.DEFAULT_AXIS:e.axis,r}return vt(n,[{key:"call",value:function(e,t){var n=Xk(e);return this.softmax(n,this.axis)}},{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e={axis:this.axis},t=ww(go(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(ow);function NN(e,t,n){return t in e?Object.defineProperty(e,t,{value:n,enumerable:!0,configurable:!0,writable:!0}):e[t]=n,e}function IN(e,t,n){if("number"===typeof e)return ux(e,t);if(e.length!==t)throw new ix("The ".concat(n," argument must be an integer or tuple of ").concat(t," integers.")+" Received: ".concat(e.length," elements."));for(var r=0;r<t;++r){var a=e[r];if((i=a)!==parseInt(i.toString(),10))throw new ix("The ".concat(n," argument must be an integer or tuple of ").concat(t)+" integers. 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ix("conv2dWithBiasActivation expects input to be of rank 3 or 4, "+"but received ".concat(e.rank,"."));if(3!==t.rank&&4!==t.rank)throw new ix("conv2dWithBiasActivation expects kernel to be of rank 3 or 4, "+"but received ".concat(e.rank,"."));var u=EN(e,i);if("causal"===a)throw new ox("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");return u=Lp({x:u,filter:t,strides:r,pad:"same"===a?"same":"valid",dilations:o,dataFormat:"NHWC",bias:n,activation:s}),"channelsFirst"===i&&(u=qu(u,[0,3,1,2])),u}))}function DN(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:[1,1,1],a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:"valid",i=arguments.length>5?arguments[5]:void 0,o=arguments.length>6?arguments[6]:void 0;return Qc((function(){if(null==i&&(i="channelsLast"),Ux(i),4!==e.rank&&5!==e.rank)throw new ix("conv3dWithBias expects input to be of rank 4 or 5, but received "+"".concat(e.rank,"."));if(4!==t.rank&&5!==t.rank)throw new ix("conv3dWithBias expects kernel to be of rank 4 or 5, but received "+"".concat(e.rank,"."));var s=_N(e,i);if("causal"===a)throw new ox("The support for CAUSAL padding mode in conv3dWithBias is not implemented yet.");return s=zh(s,t,r,"same"===a?"same":"valid","NDHWC",o),null!=n&&(s=mk(s,n)),"channelsFirst"===i&&(s=qu(s,[0,4,1,2,3])),s}))}SN.className="Softmax",_c(SN);var MN=function(e){mo(n,e);var t=wo(n);function n(e,r){var a;if(ft(this,n),(a=t.call(this,r)).bias=null,a.DEFAULT_KERNEL_INITIALIZER="glorotNormal",a.DEFAULT_BIAS_INITIALIZER="zeros",n.verifyArgs(r),a.rank=e,Nx(a.rank,"rank"),1!==a.rank&&2!==a.rank&&3!==a.rank)throw new ox("Convolution layer for rank other than 1, 2, or 3 (".concat(a.rank,") is ")+"not implemented yet.");if(a.kernelSize=IN(r.kernelSize,e,"kernelSize"),a.strides=IN(null==r.strides?1:r.strides,e,"strides"),a.padding=null==r.padding?"valid":r.padding,Hx(a.padding),a.dataFormat=null==r.dataFormat?"channelsLast":r.dataFormat,Ux(a.dataFormat),a.activation=lN(r.activation),a.useBias=null==r.useBias||r.useBias,a.biasInitializer=Vk(r.biasInitializer||a.DEFAULT_BIAS_INITIALIZER),a.biasConstraint=Lx(r.biasConstraint),a.biasRegularizer=gN(r.biasRegularizer),a.activityRegularizer=gN(r.activityRegularizer),a.dilationRate=IN(null==r.dilationRate?1:r.dilationRate,e,"dilationRate"),1===a.rank&&Array.isArray(a.dilationRate)&&1!==a.dilationRate.length)throw new ix("dilationRate must be a number or an array of a single number for 1D convolution, but received "+"".concat(JSON.stringify(a.dilationRate)));if(2===a.rank){if("number"===typeof a.dilationRate)a.dilationRate=[a.dilationRate,a.dilationRate];else if(2!==a.dilationRate.length)throw new ix("dilationRate must be a number or array of two numbers for 2D "+"convolution, but received ".concat(JSON.stringify(a.dilationRate)))}else if(3===a.rank)if("number"===typeof a.dilationRate)a.dilationRate=[a.dilationRate,a.dilationRate,a.dilationRate];else if(3!==a.dilationRate.length)throw new ix("dilationRate must be a number or array of three numbers for 3D "+"convolution, but received ".concat(JSON.stringify(a.dilationRate)));return a}return vt(n,[{key:"getConfig",value:function(){var e={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:uN(this.activation),useBias:this.useBias,biasInitializer:Wk(this.biasInitializer),biasRegularizer:vN(this.biasRegularizer),activityRegularizer:vN(this.activityRegularizer),biasConstraint:Ox(this.biasConstraint)},t=ww(go(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}],[{key:"verifyArgs",value:function(e){if(cx("kernelSize"in e,"required key 'kernelSize' not in config"),"number"!==typeof e.kernelSize&&!Sx(e.kernelSize,"number",1,3))throw new ix("BaseConv expects config.kernelSize to be number or number[] with "+"length 1, 2, or 3, but received ".concat(JSON.stringify(e.kernelSize),"."))}}]),n}(ow),ON=function(e){mo(n,e);var t=wo(n);function n(e,r){var a;return ft(this,n),(a=t.call(this,e,r)).kernel=null,n.verifyArgs(r),a.filters=r.filters,Nx(a.filters,"filters"),a.kernelInitializer=Vk(r.kernelInitializer||a.DEFAULT_KERNEL_INITIALIZER),a.kernelConstraint=Lx(r.kernelConstraint),a.kernelRegularizer=gN(r.kernelRegularizer),a}return vt(n,[{key:"build",value:function(e){e=Yk(e);var t="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[t])throw new ix("The channel dimension of the input should be defined. "+"Found ".concat(e[t]));var n=e[t],r=this.kernelSize.concat([n,this.filters]);this.kernel=this.addWeight("kernel",r,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:NN({},t,n)}],this.built=!0}},{key:"call",value:function(e,t){var n=this;return Qc((function(){var t;e=Xk(e);var r=null==n.bias?null:n.bias.read(),a=Tx(n.activation.getClassName());if(null!=a&&2===n.rank)t=RN(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate,a);else{if(1===n.rank)t=AN(e,n.kernel.read(),r,n.strides[0],n.padding,n.dataFormat,n.dilationRate[0]);else if(2===n.rank)t=RN(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate);else{if(3!==n.rank)throw new ox("convolutions greater than 3D are not implemented yet.");t=DN(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate)}null!=n.activation&&(t=n.activation.apply(t))}return t}))}},{key:"computeOutputShape",value:function(e){e=Yk(e);for(var t=[],n="channelsLast"===this.dataFormat?e.slice(1,e.length-1):e.slice(2),r=0;r<n.length;++r){var a=TN(n[r],this.kernelSize[r],this.padding,this.strides[r],"number"===typeof this.dilationRate?this.dilationRate:this.dilationRate[r]);t.push(a)}var i=[e[0]];return"channelsLast"===this.dataFormat?(i=i.concat(t)).push(this.filters):(i.push(this.filters),i=i.concat(t)),i}},{key:"getConfig",value:function(){var e={filters:this.filters,kernelInitializer:Wk(this.kernelInitializer),kernelRegularizer:vN(this.kernelRegularizer),kernelConstraint:Ox(this.kernelConstraint)},t=ww(go(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}],[{key:"verifyArgs",value:function(e){if(!("filters"in e)||"number"!==typeof e.filters||e.filters<1)throw new ix("Convolution layer expected config.filters to be a 'number' > 0 "+"but got ".concat(JSON.stringify(e.filters)))}}]),n}(MN),FN=function(e){mo(n,e);var t=wo(n);function n(e){var r;return ft(this,n),r=t.call(this,2,e),n.verifyArgs(e),r}return vt(n,[{key:"getConfig",value:function(){var e=ww(go(n.prototype),"getConfig",this).call(this);return delete e.rank,e}}],[{key:"verifyArgs",value:function(e){if("number"!==typeof e.kernelSize&&!Sx(e.kernelSize,"number",1,2))throw new ix("Conv2D expects config.kernelSize to be number or number[] with "+"length 1 or 2, but received ".concat(JSON.stringify(e.kernelSize),"."))}}]),n}(ON);FN.className="Conv2D",_c(FN);var LN=function(e){mo(n,e);var t=wo(n);function n(e){var r;return ft(this,n),r=t.call(this,3,e),n.verifyArgs(e),r}return vt(n,[{key:"getConfig",value:function(){var e=ww(go(n.prototype),"getConfig",this).call(this);return delete e.rank,e}}],[{key:"verifyArgs",value:function(e){if("number"!==typeof e.kernelSize&&(!Array.isArray(e.kernelSize)||1!==e.kernelSize.length&&3!==e.kernelSize.length))throw new ix("Conv3D expects config.kernelSize to be number or"+" [number, number, number], but received ".concat(JSON.stringify(e.kernelSize),"."))}}]),n}(ON);LN.className="Conv3D",_c(LN);var PN=function(e){mo(n,e);var t=wo(n);function n(e){var r;if(ft(this,n),(r=t.call(this,e)).inputSpec=[new tw({ndim:4})],"same"!==r.padding&&"valid"!==r.padding)throw new ix("Conv2DTranspose currently supports only padding modes '

2n.bias.read(),n.dataFormat)),null!=n.activation&&(t=n.activation.apply(t)),"channelsFirst"===n.dataFormat&&(t=qu(t,[0,3,1,2])),t}))}},{key:"getConfig",value:function(){var e=ww(go(n.prototype),"getConfig",this).call(this);return delete e.rank,delete e.kernelInitializer,delete e.kernelRegularizer,delete e.kernelConstraint,e.depthwiseInitializer=Wk(this.depthwiseInitializer),e.pointwiseInitializer=Wk(this.pointwiseInitializer),e.depthwiseRegularizer=vN(this.depthwiseRegularizer),e.pointwiseRegularizer=vN(this.pointwiseRegularizer),e.depthwiseConstraint=Ox(this.depthwiseConstraint),e.pointwiseConstraint=Ox(this.pointwiseConstraint),e}}]),n}(ON);BN.className="SeparableConv";var WN=function(e){mo(n,e);var t=wo(n);function n(e){return ft(this,n),t.call(this,2,e)}return vt(n)}(BN);WN.className="SeparableConv2D",_c(WN);var VN=function(e){mo(n,e);var t=wo(n);function n(e){var r;return ft(this,n),r=t.call(this,1,e),n.verifyArgs(e),r.inputSpec=[{ndim:3}],r}return vt(n,[{key:"getConfig",value:function(){var e=ww(go(n.prototype),"getConfig",this).call(this);return delete e.rank,delete e.dataFormat,e}}],[{key:"verifyArgs",value:function(e){if("number"!==typeof e.kernelSize&&!Sx(e.kernelSize,"number",1,1))throw new ix("Conv1D expects config.kernelSize to be number or number[] with "+"length 1, but received ".concat(JSON.stringify(e.kernelSize),"."))}}]),n}(ON);VN.className="Conv1D",_c(VN);var jN=function(e){mo(n,e);var t=wo(n);function n(e){var r;return ft(this,n),r=t.call(this,e),"number"===typeof e.cropping?r.cropping=[[e.cropping,e.cropping],[e.cropping,e.cropping]]:"number"===typeof e.cropping[0]?r.cropping=[[e.cropping[0],e.cropping[0]],[e.cropping[1],e.cropping[1]]]:r.cropping=e.cropping,r.dataFormat=void 0===e.dataFormat?"channelsLast":e.dataFormat,r.inputSpec=[{ndim:4}],r}return vt(n,[{key:"computeOutputShape",value:function(e){return"channelsFirst"===this.dataFormat?[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]]}},{key:"call",value:function(e,t){var n=this;return Qc((function(){if(e=Xk(e),"channelsLast"===n.dataFormat){var t=sk(e,n.cropping[0][0],e.shape[1]-n.cropping[0][0]-n.cropping[0][1],2);return sk(t,n.cropping[1][0],e.shape[2]-n.cropping[1][1]-n.cropping[1][0],3)}var r=sk(e,n.cropping[0][0],e.shape[2]-n.cropping[0][0]-n.cropping[0][1],3);return sk(r,n.cropping[1][0],e.shape[3]-n.cropping[1][1]-n.cropping[1][0],4)}))}},{key:"getConfig",value:function(){var e={cropping:this.cropping,dataFormat:this.dataFormat},t=ww(go(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(ow);jN.className="Cropping2D",_c(jN);var UN=function(e){mo(n,e);var t=wo(n);function n(e){var r,a;return ft(this,n),(r=t.call(this,e)).DEFAULT_SIZE=[2,2],r.inputSpec=[{ndim:4}],r.size=null==e.size?r.DEFAULT_SIZE:e.size,r.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,Ux(r.dataFormat),r.interpolation=null==e.interpolation?"nearest":e.interpolation,a=r.interpolation,wx(zx,"InterpolationFormat",a),r}return vt(n,[{key:"computeOutputShape",value:function(e){if("channelsFirst"===this.dataFormat){var t=null==e[2]?null:this.size[0]*e[2],n=null==e[3]?null:this.size[1]*e[3];return[e[0],e[1],t,n]}var r=null==e[1]?null:this.size[0]*e[1],a=null==e[2]?null:this.size[1]*e[2];return[e[0],r,a,e[3]]}},{key:"call",value:function(e,t){var n=this;return Qc((function(){var t=Xk(e),r=t.shape;if("channelsFirst"===n.dataFormat){t=qu(t,[0,2,3,1]);var a=n.size[0]*r[2],i=n.size[1]*r[3],o="nearest"===n.interpolation?Gv.resizeNearestNeighbor(t,[a,i]):Gv.resizeBilinear(t,[a,i]);return qu(o,[0,3,1,2])}var s=n.size[0]*r[1],u=n.size[1]*r[2];return"nearest"===n.interpolation?Gv.resizeNearestNeighbor(t,[s,u]):Gv.resizeBilinear(t,[s,u])}))}},{key:"getConfig",value:function(){var e={size:this.size,dataFormat:this.dataFormat},t=ww(go(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(ow);UN.className="UpSampling2D",_c(UN);var HN=function(e){mo(n,e);var t=wo(n);function n(e){var r;return ft(this,n),(r=t.call(this,2,e)).depthwiseKernel=null,r.depthMultiplier=null==e.depthMultiplier?1:e.depthMultiplier,r.depthwiseInitializer=Vk(e.depthwiseInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.depthwiseConstraint=Lx(e.depthwiseConstraint),r.depthwiseRegularizer=gN(e.depthwiseRegularizer),r}return vt(n,[{key:"build",value:function(e){if((e=Yk(e)).length<4)throw new ix("Inputs to DepthwiseConv2D should have rank 4. "+"Received input shape: ".concat(JSON.stringify(e),"."));var t="channelsFirst"===this.dataFormat?1:3;if(null==e[t]||e[t]<0)throw new ix("The channel dimension of the inputs to DepthwiseConv2D should "+"be defined, but is not (".concat(e[t],")."));var n=e[t],r=[this.kernelSize[0],this.kernelSize[1],n,this.depthMultiplier];this.depthwiseKernel=this.addWeight("depthwise_kernel",r,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[n*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}},{key:"call",value:function(e,t){var n=this;return Qc((function(){var t=function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:[1,1],r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:"valid",a=arguments.length>4?arguments[4]:void 0,i=arguments.length>5?arguments[5]:void 0;return Qc((function(){null==a&&(a="channelsLast"),Ux(a);var o=EN(e,a);if(4!==e.rank)throw new ix("Input for depthwiseConv2d is required to be 4-D, but is instead "+"".concat(e.rank,"-D"));if(4!==t.rank)throw new ix("depthwiseKernel is required to be 4-D, but is instead "+"".concat(t.rank,"-D"));return o=qh(o,t,n,"same"===r?"same":"valid","NHWC",i),"channelsFirst"===a&&(o=qu(o,[0,3,1,2])),o}))}(e=Xk(e),n.depthwiseKernel.read(),n.strides,n.padding,n.dataFormat,null);return n.useBias&&(t=mk(t,n.bias.read(),n.dataFormat)),null!=n.activation&&(t=n.activation.apply(t)),t}))}},{key:"computeOutputShape",value:function(e){e=Yk(e);var t="channelsFirst"===this.dataFormat?e[2]:e[1],n="channelsFirst"===this.dataFormat?e[3]:e[2],r="channelsFirst"===this.dataFormat?e[1]*this.depthMultiplier:e[3]*this.depthMultiplier,a=TN(t,this.kernelSize[0],this.padding,this.strides[0]),i=TN(n,this.kernelSize[1],this.padding,this.strides[1]);return"channelsFirst"===this.dataFormat?[e[0],r,a,i]:[e[0],a,i,r]}},{key:"getConfig",value:function(){var e=ww(go(n.prototype),"getConfig",this).call(this);return e.depthMultiplier=this.depthMultiplier,e.depthwiseInitializer=Wk(this.depthwiseInitializer),e.depthwiseRegularizer=vN(this.depthwiseRegularizer),e.depthwiseConstraint=Ox(this.depthwiseRegularizer),e}}]),n}(MN);function GN(e,t,n,r){if(Array.isArray(e)){if(null!=t||null!=n)throw new ix("When inputs is an array, neither initialState or constants should be provided");null!=r&&(n=e.slice(e.length-r,e.length),e=e.slice(0,e.length-r)),e.length>1&&(t=e.slice(1,e.length)),e=e[0]}function a(e){return null==e||Array.isArray(e)?e:[e]}return{inputs:e,initialState:t=a(t),constants:n=a(n)}}function qN(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]&&arguments[3],a=arguments.length>4?arguments[4]:void 0,i=arguments.length>5?arguments[5]:void 0,o=arguments.length>6&&void 0!==arguments[6]&&arguments[6],s=arguments.length>7&&void 0!==arguments[7]&&arguments[7];return Qc((function(){var u=t.shape.length;if(u<3)throw new ix("Input should be at least 3D, but is ".concat(u,"D."));var c=[1,0].concat(tk(2,u));if(t=qu(t,c),null!=i)throw new ox("The rnn() functoin of the deeplearn.js backend does not support constants yet.");o&&console.warn("Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend."),null!=a&&((a=ku(ku(a,"bool"),"float32")).rank===u-1&&(a=rd(a,-1)),a=qu(a,c)),r&&(t=Cf(t,0),null!=a&&(a=Cf(a,0)));var l,h,d=[],f=n,p=t.shape[0],v=dp(t);null!=a&&(h=dp(a));for(var m,g=function(t){var n=v[t],r=Qc((function(){return e(n,f)}));if(null==a)l=r[0],f=r[1];else{var i=Qc((function(){var e=h[t],n=_l(nf(e),e),a=cl(dl(r[0],e),dl(f[0],n)),i=f.map((function(t,a){return cl(dl(r[1][a],e),dl(t,n))}));return{output:a,newStates:i}}));l=i.output,f=i.newStates}s&&d.push(l)},y=0;y<p;++y)g(y);if(s){m=$f(d,1)}return[l,m,f]}))}HN.className="DepthwiseConv2D",_c(HN);var KN=function(e){mo(n,e);var t=wo(n);function n(e){var r,a;if(ft(this,n),r=t.call(this,e),null==e.cell)throw new ix("cell property is missing for the constructor of RNN.");if(null==(a=Array.isArray(e.cell)?new tI({cells:e.cell}):e.cell).stateSize)throw new ix("The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).");return r.cell=a,r.returnSequences=null!=e.returnSequences&&e.returnSequences,r.returnState=null!=e.returnState&&e.returnState,r.goBackwards=null!=e.goBackwards&&e.goBackwards,r._stateful=null!=e.stateful&&e.stateful,r.unroll=null!=e.unroll&&e.unroll,r.supportsMasking=!0,r.inputSpec=[new tw({ndim:3})],r.stateSpec=null,r.states_=null,r.numConstants=null,r.keptStates=[],r}return vt(n,[{key:"getStates",value:function(){return null==this.states_?tk(0,Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1).map((function(e){return null})):this.states_}},{key:"setStates",value:function(e){this.states_=e}},{key:"computeOutputShape",value:function(e){qk(e)&&(e=e[0]),e=e;var t=this.cell.stateSize;Array.isArray(t)||(t=[t]);var n,r=t[0];if(n=this.returnSequences?[e[0],e[1],r]:[e[0],r],this.returnState){var a,i=[],o=lt(t);try{for(o.s();!(a=o.n()).done;){var s=a.value;i.push([e[0],s])}}catch(oQ){o.e(oQ)}finally{o.f()}return[n].concat(i)}return n}},{key:"computeMask",value:function(e,t){var n=this;return Qc((function(){Array.isArray(t)&&(t=t[0]);var e=n.returnSequences?t:null;if(n.returnState){var r=n.states.map((function(e){return null}));return[e].concat(r)}return e}))}},{key:"states",get:function(){if(null==this.states_){for(var e=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1,t=[],n=0;n<e;++n)t.push(null);return t}return this.states_},set:function(e){this.states_=e}},{key:"build",value:function(e){if(null!=this.numConstants)throw new ox("Constants support is not implemented in RNN yet.");qk(e)&&(e=e[0]),e=e;var t=this.stateful?e[0]:null,n=e.slice(2);this.inputSpec[0]=new tw({shape:[t,null].concat(dt(n))});var r,a=[e[0]].concat(e.slice(2));if(this.cell.build(a),r=Array.isArray(this.cell.stateSize)?this.cell.stateSize:[this.cell.stateSize],null!=this.stateSpec){if(!Mt(this.stateSpec.map((function(e){return e.shape[e.shape.length-1]})),r))throw new ix("An initialState was passed that is not compatible with "+"cell.stateSize. Received stateSpec=".concat(this.stateSpec,"; ")+"However cell.stateSize is ".concat(this.cell.stateSize))}else this.stateSpec=r.map((function(e){return new tw({shape:[null,e]})}));this.stateful&&this.resetStates()}},{key:"resetStates",value:function(e){var t=this,n=arguments.length>1&&void 0!==arguments[1]&&arguments[1];Qc((function(){if(!t.stateful)throw new rx("Cannot call resetStates() on an RNN Layer that is not stateful.");var r=t.inputSpec[0].shape[0];if(null==r)throw new ix("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(null==t.states_)Array.isArray(t.cell.stateSize)?t.states_=t.cell.stateSize.map((function(e){return Gd([r,e])})):t.states_=[Gd([r,t.cell.stateSize])];else if(null==e)Jc(t.states_),null!=t.keptStates&&(Jc(t.keptStates),t.keptStates=[]),Array.isArray(t.cell.stateSize)?t.states_=t.cell.stateSize.map((function(e){return Gd([r,e])})):t.states_[0]=Gd([r,t.cell.stateSize]);else{if(Array.isArray(e)||(e=[e]),e.length!==t.states_.length)throw new ix("Layer ".concat(t.name," expects ").concat(t.states_.length," state(s), ")+"but it received ".concat(e.length," state value(s). Input ")+"received: ".concat(e));!0===n?t.keptStates.push(t.states_.slice()):Jc(t.states_);for(var a=0;a<t.states_.length;++a){var i=e[a],o=Array.isArray(t.cell.stateSize)?t.cell.stateSize[a]:t.cell.stateSize,s=[r,o];if(!Mt(i.shape,s))throw new ix("State ".concat(a," is incompatible with layer ").concat(t.name,": ")+"expected shape=".concat(s,", received shape=").concat(i.shape));t.states_[a]=i}}t.states_=t.states_.map((function(e){return Zc(e.clone())}))}))}},{key:"apply",value:function(e,t){var r=null==t?null:t.initialState,a=null==t?null:t.constants;null==t&&(t={});var i=GN(e,r,a,this.numConstants);e=i.inputs,r=i.initialState,a=i.constants;var o=[],s=[];if(null!=r){t.initialState=r,o=o.concat(r),this.stateSpec=[];var u,c=lt(r);try{for(c.s();!(u=c.n()).done;){var l=u.value;this.stateSpec.push(new tw({shape:l.shape}))}}catch(oQ){c.e(oQ)}finally{c.f()}s=s.concat(this.stateSpec)}if(null!=a&&(t.constants=a,o=o.concat(a),this.numConstants=a.length),o[0]instanceof nw){var h=[e].concat(o),d=this.inputSpec.concat(s),f=this.inputSpec;this.inputSpec=d;var p=ww(go(n.prototype),"apply",this).call(this,h,t);return this.inputSpec=f,p}return ww(go(n.prototype),"apply",this).call(this,e,t)}},{key:"call",value:function(e,t){var n=this;return Qc((function(){var r=null==t?null:t.mask,a=null==t?null:t.training,i=null==t?null:t.initialState;e=Xk(e),null==i&&(i=n.stateful?n.states_:n.getInitialState(e));var o=Array.isArray(n.cell.stateSize)?n.cell.stateSize.length:1;if(i.length!==o)throw new ix("RNN Layer has ".concat(o," state(s) but was passed ")+"".concat(i.length," initial state(s)."));n.unroll&&console.warn("Ignoring unroll = true for RNN layer, due to imperative backend.");var s={training:a},u=qN((function(e,t){var r=n.cell.call([e].concat(t),s);return[r[0],r.slice(1)]}),e,i,n.goBackwards,r,null,n.unroll,n.returnSequences),c=u[0],l=u[1],h=u[2];n.stateful&&n.resetStates(h,a);var d=n.returnSequences?l:c;return n.returnState?[d].concat(h):d}))}},{key:"getInitialState",value:function(e){var t=this;return Qc((function(){var n=Gd(e.shape);return n=rk(n=Td(n,[1,2])),Array.isArray(t.cell.stateSize)?t.cell.stateSize.map((function(e){return e>1?lk(n,[1,e]):n})):t.cell.stateSize>1?[lk(n,[1,t.cell.stateSize])]:[n]}))}},{key:"trainableWeights",get:function(){return this.trainable?this.cell.trainableWeights:[]}},{key:"nonTrainableWeights",get:function(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights}},{key:"setFastWeightInitDuringBuild",value:function(e){ww(go(n.prototype),"setFastWeightInitDuringBuild",this).call(this,e),null!=this.cell&&this.cell.setFastWeightInitDuringBuild(e)}},{key:"getConfig",value:function(){var e=ww(go(n.prototype),"getConfig",this).call(this),t={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};null!=this.numConstants&&(t.numConstants=this.numConstants);var r=this.cell.getConfig();return this.getClassName()===n.className&&(t.cell={className:this.cell.getClassName(),config:r}),Object.assign({},r,e,t)}}],[{key:"fromConfig",value:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:{},r=t.cell,a=Sw(r,n);return new e(Object.assign(t,{cell:a}))}}]),n}(ow);KN.className="RNN",_c(KN);var XN=function(e){mo(n,e);var t=wo(n);function n(){return ft(this,n),t.apply(this,arguments)}return vt(n)}(ow),YN=function(e){mo(n,e);var t=wo(n);function n(e){var r;return ft(this,n),(r=t.call(this,e)).DEFAULT_ACTIVATION="tanh",r.DEFAULT_KERNEL_INITIALIZER="glorotNormal",r.DEFAULT_RECURRENT_INITIALIZER="orthogonal",r.DEFAULT_BIAS_INITIALIZER="zeros",r.units=e.units,Nx(r.units,"units"),r.activation=lN(null==e.activation?r.DEFAULT_ACTIVATION:e.activation),r.useBias=null==e.useBias||e.useBias,r.kernelInitializer=Vk(e.kernelInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.recurrentInitializer=Vk(e.recurrentInitializer||r.DEFAULT_RECURRENT_INITIALIZER),r.biasInitializer=Vk(e.biasInitializer||r.DEFAULT_BIAS_INITIALIZER),r.kernelRegularizer=gN(e.kernelRegularizer),r.recurrentRegularizer=gN(e.recurrentRegularizer),r.biasRegularizer=gN(e.biasRegularizer),r.kernelConstraint=Lx(e.kernelConstraint),r.recurrentConstraint=Lx(e.recurrentConstraint),r.biasConstraint=Lx(e.biasConstraint),r.dropout=$x([1,ek([0,null==e.dropout?0:e.dropout])]),r.recurrentDropout=$x([1,ek([0,null==e.recurrentDropout?0:e.recurrentDropout])]),r.dropoutFunc=e.dropoutFunc,r.stateSize=r.units,r.dropoutMask=null,r.recurrentDropoutMask=null,r}return vt(n,[{key:"build",value:function(e){e=Yk(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}},{key:"call",value:function(e,t){var n=this;return Qc((function(){if(2!==(e=e).length)throw new ix("SimpleRNNCell expects 2 input Tensors, got ".concat(e.length,"."));var r=e[1];e=e[0];var a,i=null!=t.training&&t.training;0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=nI({ones:function(){return nf(e)},rate:n.dropout,training:i,dropoutFunc:n.dropoutFunc})),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=nI({ones:function(){return nf(r)},rate:n.recurrentDropout,training:i,dropoutFunc:n.dropoutFunc}));var o=n.dropoutMask,s=n.recurrentDropoutMask;a=dk(null!=o?dl(e,o):e,n.kernel.read()),null!=n.bias&&(a=mk(a,n.bias.read())),null!=s&&(r=dl(r,s));var u=cl(a,dk(r,n.recurrentKernel.read()));return null!=n.activation&&(u=n.activation.apply(u)),[u,u]}))}},{key:"getConfig",value:function(){var e=ww(go(n.prototype),"getConfig",this).call(this),t={units:this.units,activation:uN(this.activation),useBias:this.useBias,kernelInitializer:Wk(this.kernelInitializer),recurrentInitializer:Wk(this.recurrentInitializer),biasInitializer:Wk(this.biasInitializer),kernelRegularizer:vN(this.kernelRegularizer),recurrentRegularizer:vN(this.recurrentRegularizer),biasRegularizer:vN(this.biasRegularizer),activityRegularizer:vN(this.activityRegularizer),kernelConstraint:Ox(this.kernelConstraint),recurrentConstraint:Ox(this.recurrentConstraint),biasConstraint:Ox(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout};return Object.assign({},e,t)}}]),n}(XN);YN.className="SimpleRNNCell",_c(YN);var QN=function(e){mo(n,e);var t=wo(n);function n(e){return ft(this,n),e.cell=new YN(e),t.call(this,e)}return vt(n,[{key:"call",value:function(e,t){var r=this;return Qc((function(){null!=r.cell.dropoutMask&&(Jc(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(Jc(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var a=null==t?null:t.mask,i=null==t?null:t.training,o=null==t?null:t.initialState;return ww(go(n.prototype),"call",r).call(r,e,{mask:a,training:i,initialState:o})}))}}],[{key:"fromConfig",value:function(e,t){return new e(t)}}]),n}(KN);QN.className="SimpleRNN",_c(QN);var JN=function(e){mo(n,e);var t=wo(n);function n(e){var r;if(ft(this,n),(r=t.call(this,e)).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 ix("GRUCell does not support reset_after parameter set to true.");return r.units=e.units,Nx(r.units,"units"),r.activation=lN(void 0===e.activation?r.DEFAULT_ACTIVATION:e.activation),r.recurrentActivation=lN(void 0===e.recurrentActivation?r.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),r.useBias=null==e.useBias||e.useBias,r.kernelInitializer=Vk(e.kernelInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.recurrentInitializer=Vk(e.recurrentInitializer||r.DEFAULT_RECURRENT_INITIALIZER),r.biasInitializer=Vk(e.biasInitializer||r.DEFAULT_BIAS_INITIALIZER),r.kernelRegularizer=gN(e.kernelRegularizer),r.recurrentRegularizer=gN(e.recurrentRegularizer),r.biasRegularizer=gN(e.biasRegularizer),r.kernelConstraint=Lx(e.kernelConstraint),r.recurrentConstraint=Lx(e.recurrentConstraint),r.biasConstraint=Lx(e.biasConstraint),r.dropout=$x([1,ek([0,null==e.dropout?0:e.dropout])]),r.recurrentDropout=$x([1,ek([0,null==e.recurrentDropout?0:e.recurrentDropout])]),r.dropoutFunc=e.dropoutFunc,r.implementation=e.implementation,r.stateSize=r.units,r.dropoutMask=null,r.recurrentDropoutMask=null,r}return vt(n,[{key:"build",value:function(e){var t=(e=Yk(e))[e.length-1];this.kernel=this.addWeight("kernel",[t,3*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,3*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[3*this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}},{key:"call",value:function(e,t){var n=this;return Qc((function(){if(2!==(e=e).length)throw new ix("GRUCell expects 2 input Tensors (inputs, h, c), got "+"".concat(e.length,"."));var r=null!=t.training&&t.training,a=e[1];e=e[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=nI({ones:function(){return nf(e)},rate:n.dropout,training:r,count:3,dropoutFunc:n.dropoutFunc})),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=nI({ones:function(){return nf(a)},rate:n.recurrentDropout,training:r,count:3,dropoutFunc:n.dropoutFunc}));var i,o,s,u=n.dropoutMask,c=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(e=dl(e,u[0]));var l=dk(e,n.kernel.read());n.useBias&&(l=mk(l,n.bias.read())),0<n.recurrentDropout&&n.recurrentDropout<1&&(a=dl(a,c[0]));var h=n.recurrentKernel.read(),d=G(Yf(h,[2*n.units,n.units],h.rank-1),2),f=d[0],p=d[1],v=dk(a,f),m=G(Yf(l,3,l.rank-1),3),g=m[0],y=m[1],b=m[2],x=G(Yf(v,2,v.rank-1),2),k=x[0],w=x[1];i=n.recurrentActivation.apply(cl(g,k)),o=n.recurrentActivation.apply(cl(y,w));var S=dk(dl(o,a),p);s=n.activation.apply(cl(b,S));var N=cl(dl(i,a),dl(cl(1,wd(i)),s));return[N,N]}))}},{key:"getConfig",value:function(){var e=ww(go(n.prototype),"getConfig",this).call(this),t={units:this.units,activation:uN(this.activation),recurrentActivation:uN(this.recurrentActivation),useBias:this.useBias,kernelInitializer:Wk(this.kernelInitializer),recurrentInitializer:Wk(this.recurrentInitializer),biasInitializer:Wk(this.biasInitializer),kernelRegularizer:vN(this.kernelRegularizer),recurrentRegularizer:vN(this.recurrentRegularizer),biasRegularizer:vN(this.biasRegularizer),activityRegularizer:vN(this.activityRegularizer),kernelConstraint:Ox(this.kernelConstraint),recurrentConstraint:Ox(this.recurrentConstraint),biasConstraint:Ox(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation,resetAfter:!1};return Object.assign({},e,t)}}]),n}(XN);JN.className="GRUCell",_c(JN);var ZN=function(e){mo(n,e);var t=wo(n);function n(e){return ft(this,n),0===e.implementation&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),e.cell=new JN(e),t.call(this,e)}return vt(n,[{key:"call",value:function(e,t){var r=this;return Qc((function(){null!=r.cell.dropoutMask&&(Jc(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(Jc(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var a=null==t?null:t.mask,i=null==t?null:t.training,o=null==t?null:t.initialState;return ww(go(n.prototype),"call",r).call(r,e,{mask:a,training:i,initialState:o})}))}}],[{key:"fromConfig",value:function(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)}}]),n}(KN);ZN.className="GRU",_c(ZN);var $N=function(e){mo(n,e);var t=wo(n);function n(e){var r;return ft(this,n),(r=t.call(this,e)).DEFAULT_ACTIVATION="tanh",r.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",r.DEFAULT_KERNEL_INITIALIZER="glorotNormal",r.DEFAULT_RECURRENT_INITIALIZER="orthogonal",r.DEFAULT_BIAS_INITIALIZER="zeros",r.units=e.units,Nx(r.units,"units"),r.activation=lN(void 0===e.activation?r.DEFAULT_ACTIVATION:e.activation),r.recurrentActivation=lN(void 0===e.recurrentActivation?r.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),r.useBias=null==e.useBias||e.useBias,r.kernelInitializer=Vk(e.kernelInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.recurrentInitializer=Vk(e.recurrentInitializer||r.DEFAULT_RECURRENT_INITIALIZER),r.biasInitializer=Vk(e.biasInitializer||r.DEFAULT_BIAS_INITIALIZER),r.unitForgetBias=e.unitForgetBias,r.kernelRegularizer=gN(e.kernelRegularizer),r.recurrentRegularizer=gN(e.recurrentRegularizer),r.biasRegularizer=gN(e.biasRegularizer),r.kernelConstraint=Lx(e.kernelConstraint),r.recurrentConstraint=Lx(e.recurrentConstraint),r.biasConstraint=Lx(e.biasConstraint),r.dropout=$x([1,ek([0,null==e.dropout?0:e.dropout])]),r.recurrentDropout=$x([1,ek([0,null==e.recurrentDropout?0:e.recurrentDropout])]),r.dropoutFunc=e.dropoutFunc,r.implementation=e.implementation,r.stateSize=[r.units,r.units],r.dropoutMask=null,r.recurrentDropoutMask=null,r}return vt(n,[{key:"build",value:function(e){var t,n,r=(e=Yk(e))[e.length-1];if(this.kernel=this.addWeight("kernel",[r,4*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,4*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){if(this.unitForgetBias){var a=this.biasInitializer,i=this.units;n=new(t=function(e){mo(n,e);var t=wo(n);function n(){return ft(this,n),t.apply(this,arguments)}return vt(n,[{key:"apply",value:function(e,t){var n=a.apply([i]),r=(new Nk).apply([i]),o=a.apply([2*i]);return ck(ck(n,r),o)}}]),n}(wk),t.className="CustomInit",t)}else n=this.biasInitializer;this.bias=this.addWeight("bias",[4*this.units],null,n,this.biasRegularizer,!0,this.biasConstraint)}else this.bias=null;this.built=!0}},{key:"call",value:function(e,t){var n=this;return Qc((function(){var r=null!=t.training&&t.training;if(3!==(e=e).length)throw new ix("LSTMCell expects 3 input Tensors (inputs, h, c), got "+"".concat(e.length,"."));var a=e[1],i=e[2];e=e[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=nI({ones:function(){return nf(e)},rate:n.dropout,training:r,count:4,dropoutFunc:n.dropoutFunc})),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=nI({ones:function(){return nf(a)},rate:n.recurrentDropout,training:r,count:4,dropoutFunc:n.dropoutFunc}));var o,s,u,c,l=n.dropoutMask,h=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(e=dl(e,l[0]));var d=dk(e,n.kernel.read());0<n.recurrentDropout&&n.recurrentDropout<1&&(a=dl(a,h[0])),d=cl(d,dk(a,n.recurrentKernel.read())),n.useBias&&(d=mk(d,n.bias.read()));var f=G(Yf(d,4,d.rank-1),4),p=f[0],v=f[1],m=f[2],g=f[3];o=n.recurrentActivation.apply(p),s=n.recurrentActivation.apply(v),u=cl(dl(s,i),dl(o,n.activation.apply(m))),c=n.recurrentActivation.apply(g);var y=dl(c,n.activation.apply(u));return[y,y,u]}))}},{key:"getConfig",value:function(){var e=ww(go(n.prototype),"getConfig",this).call(this),t={units:this.units,activation:uN(this.activation),recurrentActivation:uN(this.recurrentActivation),useBias:this.useBias,kernelInitializer:Wk(this.kernelInitializer),recurrentInitializer:Wk(this.recurrentInitializer),biasInitializer:Wk(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:vN(this.kernelRegularizer),recurrentRegularizer:vN(this.recurrentRegularizer),biasRegularizer:vN(this.biasRegularizer),activityRegularizer:vN(this.activityRegularizer),kernelConstraint:Ox(this.kernelConstraint),recurrentConstraint:Ox(this.recurrentConstraint),biasConstraint:Ox(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation};return Object.assign({},e,t)}}]),n}(XN);$N.className="LSTMCell",_c($N);var eI=function(e){mo(n,e);var t=wo(n);function n(e){return ft(this,n),0===e.implementation&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),e.cell=new $N(e),t.call(this,e)}return vt(n,[{key:"call",value:function(e,t){var r=this;return Qc((function(){null!=r.cell.dropoutMask&&(Jc(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(Jc(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var a=null==t?null:t.mask,i=null==t?null:t.training,o=null==t?null:t.initialState;return ww(go(n.prototype),"call",r).call(r,e,{mask:a,training:i,initialState:o})}))}}],[{key:"fromConfig",value:function(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)}}]),n}(KN);eI.className="LSTM",_c(eI);var tI=function(e){mo(n,e);var t=wo(n);function n(e){var r;return ft(this,n),(r=t.call(this,e)).cells=e.cells,r}return vt(n,[{key:"stateSize",get:function(){var e,t=[],n=lt(this.cells.slice().reverse());try{for(n.s();!(e=n.n()).done;){var r=e.value;Array.isArray(r.stateSize)?t.push.apply(t,dt(r.stateSize)):t.push(r.stateSize)}}catch(oQ){n.e(oQ)}finally{n.f()}return t}},{key:"call",value:function(e,t){var n=this;return Qc((function(){var r,a=(e=e).slice(1),i=[],o=lt(n.cells.slice().reverse());try{for(o.s();!(r=o.n()).done;){var s=r.value;Array.isArray(s.stateSize)?i.push(a.splice(0,s.stateSize.length)):i.push(a.splice(0,1))}}catch(oQ){o.e(oQ)}finally{o.f()}i.reverse();for(var u,c=[],l=0;l<n.cells.length;++l){var h=n.cells[l];a=i[l],u=0===l?[e[0]].concat(a):[u[0]].concat(a),u=h.call(u,t),c.push(u.slice(1))}a=[];var d,f=lt(c.slice().reverse());try{for(f.s();!(d=f.n()).done;){var p,v=d.value;(p=a).push.apply(p,dt(v))}}catch(oQ){f.e(oQ)}finally{f.f()}return[u[0]].concat(a)}))}},{key:"build",value:function(e){var t;qk(e)&&(e=e[0]),e=e,this.cells.forEach((function(n,r){Kx("RNNCell_".concat(r),(function(){n.build(e),t=Array.isArray(n.stateSize)?n.stateSize[0]:n.stateSize,e=[e[0],t]}))})),this.built=!0}},{key:"getConfig",value:function(){var e=ww(go(n.prototype),"getConfig",this).call(this),t={cells:this.cells.map((function(e){return{className:e.getClassName(),config:e.getConfig()}}))};return Object.assign({},e,t)}},{key:"trainableWeights",get:function(){if(!this.trainable)return[];var e,t=[],n=lt(this.cells);try{for(n.s();!(e=n.n()).done;){var r=e.value;t.push.apply(t,dt(r.trainableWeights))}}catch(oQ){n.e(oQ)}finally{n.f()}return t}},{key:"nonTrainableWeights",get:function(){var e,t=[],n=lt(this.cells);try{for(n.s();!(e=n.n()).done;){var r=e.value;t.push.apply(t,dt(r.nonTrainableWeights))}}catch(oQ){n.e(oQ)}finally{n.f()}if(!this.trainable){var a,i=[],o=lt(this.cells);try{for(o.s();!(a=o.n()).done;){var s=a.value;i.push.apply(i,dt(s.trainableWeights))}}catch(oQ){o.e(oQ)}finally{o.f()}return i.concat(t)}return t}},{key:"getWeights",value:function(){var e,t=[],n=lt(this.cells);try{for(n.s();!(e=n.n()).done;){var r=e.value;t.push.apply(t,dt(r.weights))}}catch(oQ){n.e(oQ)}finally{n.f()}return $k(t)}},{key:"setWeights",value:function(e){var t,n=[],r=lt(this.cells);try{for(r.s();!(t=r.n()).done;)for(var a=t.value,i=a.weights.length,o=e.splice(i),s=0;s<a.weights.length;++s)n.push([a.weights[s],o[s]])}catch(oQ){r.e(oQ)}finally{r.f()}ew(n)}}],[{key:"fromConfig",value:function(e,t){var n,r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:{},a=[],i=lt(t.cells);try{for(i.s();!(n=i.n()).done;){var o=n.value;a.push(Sw(o,r))}}catch(oQ){i.e(oQ)}finally{i.f()}return new e({cells:a})}}]),n}(XN);function nI(e){var t=e.ones,n=e.rate,r=e.training,a=void 0!==r&&r,i=e.count,o=void 0===i?1:i,s=e.dropoutFunc,u=function(){return null!=s?s(t(),n):yk(t(),n)},c=function(){return bk(u,t,a)};return!o||o<=1?Zc(c().clone()):Array(o).fill(void 0).map(c).map((function(e){return Zc(e.clone())}))}tI.className="StackedRNNCells",_c(tI);var rI=function(e,t){var n={};for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&t.indexOf(r)<0&&(n[r]=e[r]);if(null!=e&&"function"===typeof Object.getOwnPropertySymbols){var a=0;for(r=Object.getOwnPropertySymbols(e);a<r.length;a++)t.indexOf(r[a])<0&&Object.prototype.propertyIsEnumerable.call(e,r[a])&&(n[r[a]]=e[r[a]])}return n},aI=function(e){mo(n,e);var t=wo(n);function n(e){var r;if(ft(this,n),e.unroll)throw new ox("Unrolling is not possible with convolutional RNNs.");if(Array.isArray(e.cell))throw new ox("It is not possible at the moment to stack convolutional cells.");return(r=t.call(this,e)).inputSpec=[new tw({ndim:5})],r}return vt(n,[{key:"call",value:function(e,t){var r=this;return Qc((function(){if(null!=r.cell.dropoutMask&&(Jc(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(Jc(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null),t&&t.constants)throw new ix("ConvRNN2D cell does not support constants");var a=null==t?null:t.mask,i=null==t?null:t.training,o=null==t?null:t.initialState;return ww(go(n.prototype),"call",r).call(r,e,{mask:a,training:i,initialState:o})}))}},{key:"computeOutputShape",value:function(e){var t=this.computeSingleOutputShape(e);return this.returnSequences||(t=[t[0]].concat(dt(t.slice(2)))),this.returnState&&(t=[t].concat(dt(Array(2).fill([e[0]].concat(dt(t.slice(-3))))))),t}},{key:"getInitialState",value:function(e){var t=this;return Qc((function(){var n=t.cell.stateSize,r=e.shape,a=t.computeSingleOutputShape(r),i=Gd([a[0]].concat(dt(a.slice(2))));return Array.isArray(n)?Array(n.length).fill(i):[i]}))}},{key:"resetStates",value:function(e){var t=this,n=arguments.length>1&&void 0!==arguments[1]&&arguments[1];Qc((function(){if(!t.stateful)throw new rx("Cannot call resetStates() on an RNN Layer that is not stateful.");var r=t.inputSpec[0].shape,a=t.computeSingleOutputShape(r),i=[a[0]].concat(dt(a.slice(2)));if(null==r[0])throw new ix("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(null==t.getStates())Array.isArray(t.cell.stateSize)?t.states_=t.cell.stateSize.map((function(){return Gd(i)})):t.states_=[Gd(i)];else if(null==e)Jc(t.states_),null!=t.keptStates&&(Jc(t.keptStates),t.keptStates=[]),Array.isArray(t.cell.stateSize)?t.states_=t.cell.stateSize.map((function(){return Gd(i)})):t.states_[0]=Gd(i);else{if(Array.isArray(e)||(e=[e]),e.length!==t.states_.length)throw new ix("Layer ".concat(t.name," expects ").concat(t.states_.length," state(s), ")+"but it received ".concat(e.length," state value(s). Input ")+"received: ".concat(e));n?t.keptStates.push(t.states_.slice()):Jc(t.states_);for(var o=0;o<t.states_.length;++o){var s=e[o],u=i;if(!Mt(s.shape,u))throw new ix("State ".concat(o," is incompatible with layer ").concat(t.name,": ")+"expected shape=".concat(u,", received shape=").concat(s.shape));t.states_[o]=s}}t.states_=t.states_.map((function(e){return Zc(e.clone())}))}))}},{key:"computeSingleOutputShape",value:function(e){var t=this.cell,n=t.dataFormat,r=t.filters,a=t.kernelSize,i=t.padding,o=t.strides,s=t.dilationRate,u="channelsFirst"===n,c=e[u?3:2],l=e[u?4:3],h=TN(c,a[0],i,o[0],s[0]),d=TN(l,a[1],i,o[1],s[1]);return[].concat(dt(e.slice(0,2)),dt(u?[r,h,d]:[h,d,r]))}}]),n}(KN);aI.className="ConvRNN2D";var iI=function(e){mo(n,e);var t=wo(n);function n(e){var r;ft(this,n);var a=e.filters,i=e.kernelSize,o=e.strides,s=e.padding,u=e.dataFormat,c=e.dilationRate;return(r=t.call(this,Object.assign({},e,{units:a}))).filters=a,Nx(r.filters,"filters"),r.kernelSize=IN(i,2,"kernelSize"),r.kernelSize.forEach((function(e){return Nx(e,"kernelSize")})),r.strides=IN(o||1,2,"strides"),r.strides.forEach((function(e){return Nx(e,"strides")})),r.padding=s||"valid",Hx(r.padding),r.dataFormat=u||"channelsLast",Ux(r.dataFormat),r.dilationRate=IN(c||1,2,"dilationRate"),r.dilationRate.forEach((function(e){return Nx(e,"dilationRate")})),r}return vt(n,[{key:"build",value:function(e){var t;e=Yk(e);var n="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[n])throw new ix("The channel dimension of the input should be defined. "+"Found ".concat(e[n]));var r=e[n],a=this.kernelSize.concat([r,4*this.filters]);this.kernel=this.addWeight("kernel",a,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint);var i=this.kernelSize.concat([this.filters,4*this.filters]);if(this.recurrentKernel=this.addWeight("recurrent_kernel",i,null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){var o;if(this.unitForgetBias){var s=this.biasInitializer,u=this.filters;o=new(t=function(e){mo(n,e);var t=wo(n);function n(){return ft(this,n),t.apply(this,arguments)}return vt(n,[{key:"apply",value:function(e,t){return uk([s.apply([u]),qd([u]),s.apply([2*u])])}}]),n}(wk),t.className="CustomInit",t)}else o=this.biasInitializer;this.bias=this.addWeight("bias",[4*this.filters],null,o,this.biasRegularizer,!0,this.biasConstraint)}this.built=!0}},{key:"call",value:function(e,t){var n=this;return Qc((function(){if(3!==e.length)throw new ix("ConvLSTM2DCell expects 3 input Tensors (inputs, h, c), got "+"".concat(e.length,"."));var r=t.training||!1,a=e[0],i=e[1],o=e[2];0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=nI({ones:function(){return nf(a)},rate:n.dropout,training:r,count:4,dropoutFunc:n.dropoutFunc}));var s=n.dropoutMask,u=function(e,t,n){return t&&t[n]?dl(t[n],e):e},c=u(a,s,0),l=u(a,s,1),h=u(a,s,2),d=u(a,s,3);0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=nI({ones:function(){return nf(i)},rate:n.recurrentDropout,training:r,count:4,dropoutFunc:n.dropoutFunc}));var f=n.recurrentDropoutMask,p=u(i,f,0),v=u(i,f,1),m=u(i,f,2),g=u(i,f,3),y=G(Yf(n.kernel.read(),4,3),4),b=y[0],x=y[1],k=y[2],w=y[3],S=G(n.useBias?Yf(n.bias.read(),4):[null,null,null,null],4),N=S[0],I=S[1],T=S[2],C=S[3];c=n.inputConv(c,b,N,n.padding),l=n.inputConv(l,x,I,n.padding),h=n.inputConv(h,k,T,n.padding),d=n.inputConv(d,w,C,n.padding);var E=G(Yf(n.recurrentKernel.read(),4,3),4),_=E[0],A=E[1],R=E[2],D=E[3];p=n.recurrentConv(p,_),v=n.recurrentConv(v,A),m=n.recurrentConv(m,R),g=n.recurrentConv(g,D);var M=n.recurrentActivation.apply(cl(c,p)),O=n.recurrentActivation.apply(cl(l,v)),F=cl(dl(O,o),dl(M,n.activation.apply(cl(h,m)))),L=dl(n.recurrentActivation.apply(cl(d,g)),n.activation.apply(F));return[L,L,F]}))}},{key:"getConfig",value:function(){var e=ww(go(n.prototype),"getConfig",this).call(this),t=(e.units,rI(e,["units"])),r={filters:this.filters,kernelSize:this.kernelSize,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,strides:this.strides};return Object.assign({},t,r)}},{key:"inputConv",value:function(e,t,n,r){var a=Oh(e,t,this.strides,r||"valid","channelsFirst"===this.dataFormat?"NCHW":"NHWC",this.dilationRate);return n?mk(a,n,this.dataFormat):a}},{key:"recurrentConv",value:function(e,t){return Oh(e,t,1,"same","channelsFirst"===this.dataFormat?"NCHW":"NHWC")}}]),n}($N);iI.className="ConvLSTM2DCell",_c(iI);var oI=function(e){mo(n,e);var t=wo(n);function n(e){ft(this,n);var r=new iI(e);return t.call(this,Object.assign({},e,{cell:r}))}return vt(n,null,[{key:"fromConfig",value:function(e,t){return new e(t)}}]),n}(aI);oI.className="ConvLSTM2D",_c(oI);var sI=function(e){mo(n,e);var t=wo(n);function n(e){var r;return ft(this,n),(r=t.call(this,e)).rate=Math.max(Math.min(e.rate,1),0),r.noiseShape=e.noiseShape,r.seed=e.seed,r.supportsMasking=!0,r}return vt(n,[{key:"getNoiseShape",value:function(e){if(null==this.noiseShape)return this.noiseShape;for(var t=e.shape,n=[],r=0;r<this.noiseShape.length;++r)n.push(null==this.noiseShape[r]?t[r]:this.noiseShape[r]);return n}},{key:"call",value:function(e,t){var n=this;return Qc((function(){n.invokeCallHook(e,t);var r=Xk(e);if(0<n.rate&&n.rate<1){var a=null!=t.training&&t.training,i=n.getNoiseShape(r);return bk((function(){return yk(r,n.rate,i,n.seed)}),(function(){return r}),a)}return e}))}},{key:"getConfig",value:function(){var e={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},t=ww(go(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}},{key:"dispose",value:function(){return ww(go(n.prototype),"dispose",this).call(this)}}]),n}(ow);sI.className="Dropout",_c(sI);var uI=function(e){mo(n,e);var t=wo(n);function n(e){var r;return ft(this,n),(r=t.call(this,e)).inputSpec=[{ndim:3}],r}return vt(n,[{key:"getNoiseShape",value:function(e){var t=e.shape;return[t[0],1,t[2]]}}]),n}(sI);uI.className="SpatialDropout1D",_c(uI);var cI=function(e){mo(n,e);var t=wo(n);function n(e){var r;if(ft(this,n),(r=t.call(this,e)).activation=null,r.useBias=!0,r.kernel=null,r.bias=null,r.DEFAULT_KERNEL_INITIALIZER="glorotNormal",r.DEFAULT_BIAS_INITIALIZER="zeros",null==e.batchInputShape&&null==e.inputShape&&null!=e.inputDim){var a=null;null!=e.batchSize&&(a=e.batchSize),r.batchInputShape=[a,e.inputDim]}return r.units=e.units,Nx(r.units,"units"),r.activation=lN(e.activation),null!=e.useBias&&(r.useBias=e.useBias),r.kernelInitializer=Vk(e.kernelInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.biasInitializer=Vk(e.biasInitializer||r.DEFAULT_BIAS_INITIALIZER),r.kernelConstraint=Lx(e.kernelConstraint),r.biasConstraint=Lx(e.biasConstraint),r.kernelRegularizer=gN(e.kernelRegularizer),r.biasRegularizer=gN(e.biasRegularizer),r.activityRegularizer=gN(e.activityRegularizer),r.supportsMasking=!0,r.inputSpec=[{minNDim:2}],r}return vt(n,[{key:"build",value:function(e){var t=(e=Yk(e))[e.length-1];null==this.kernel&&(this.kernel=this.addWeight("kernel",[t,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:NN({},-1,t)}],this.built=!0}},{key:"computeOutputShape",value:function(e){var t=(e=Yk(e)).slice();return t[t.length-1]=this.units,t}},{key:"call",value:function(e,t){var n=this;return Qc((function(){n.invokeCallHook(e,t);var r,a=Xk(e),i=Tx(n.activation.getClassName());return null!=i?r=dk(a,n.kernel.read(),i,n.bias?n.bias.read():null):(r=dk(a,n.kernel.read()),null!=n.bias&&(r=mk(r,n.bias.read())),null!=n.activation&&(r=n.activation.apply(r))),r}))}},{key:"getConfig",value:function(){var e={units:this.units,activation:uN(this.activation),useBias:this.useBias,kernelInitializer:Wk(this.kernelInitializer),biasInitializer:Wk(this.biasInitializer),kernelRegularizer:vN(this.kernelRegularizer),biasRegularizer:vN(this.biasRegularizer),activityRegularizer:vN(this.activityRegularizer),kernelConstraint:Ox(this.kernelConstraint),biasConstraint:Ox(this.biasConstraint)},t=ww(go(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(ow);cI.className="Dense",_c(cI);var lI=function(e){mo(n,e);var t=wo(n);function n(e){var r;return ft(this,n),e=e||{},(r=t.call(this,e)).inputSpec=[{minNDim:3}],r.dataFormat=e.dataFormat,r}return vt(n,[{key:"computeOutputShape",value:function(e){var t,n=lt((e=Yk(e)).slice(1));try{for(n.s();!(t=n.n()).done;){if(null==t.value)throw new ix('The shape of the input to "Flatten" is not fully defined '+"(got ".concat(e.slice(1),"). Make sure to pass a complete ")+'"input_shape" or "batch_input_shape" argument to the first layer in your model.')}}catch(oQ){n.e(oQ)}finally{n.f()}return[e[0],Zx(e,1)]}},{key:"call",value:function(e,t){var n=this;return Qc((function(){n.invokeCallHook(e,t);var r=Xk(e);if("channelsFirst"===n.dataFormat&&r.rank>1){for(var a=[0],i=2;i<r.rank;++i)a.push(i);a.push(1),r=qu(r,a)}return function(e){if(e.rank<=1)throw new ix("batchFlatten requires a minimum rank of 2. Got rank: ".concat(e.rank,"."));var t=[e.shape[0],Zx(e.shape,1)];return dh(e,t)}(r)}))}},{key:"getConfig",value:function(){var e={};null!=this.dataFormat&&(e.dataFormat=this.dataFormat);var t=ww(go(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(ow);lI.className="Flatten",_c(lI);var hI=function(e){mo(n,e);var t=wo(n);function n(e){var r;return ft(this,n),(r=t.call(this,e)).supportsMasking=!0,r.activation=lN(e.activation),r}return vt(n,[{key:"call",value:function(e,t){var n=this;return Qc((function(){n.invokeCallHook(e,t);var r=Xk(e);return n.activation.apply(r)}))}},{key:"getConfig",value:function(){var e={activation:uN(this.activation)},t=ww(go(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(ow);hI.className="Activation",_c(hI);var dI=function(e){mo(n,e);var t=wo(n);function n(e){var r;return ft(this,n),(r=t.call(this,e)).n=e.n,r.inputSpec=[{ndim:2}],r}return vt(n,[{key:"computeOutputShape",value:function(e){return[e[0],this.n,e[1]]}},{key:"call",value:function(e,t){var n=this;return Qc((function(){return e=Xk(e),t=e,r=n.n,Qc((function(){if(2!==t.shape.length)throw new ix("repeat() expects a rank-2 tensor, but received a "+"rank-".concat(t.shape.length," tensor."));return lk(rk(t,1),[1,r,1])}));var t,r}))}},{key:"getConfig",value:function(){var e={n:this.n},t=ww(go(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(ow);dI.className="RepeatVector",_c(dI);var fI=function(e){mo(n,e);var t=wo(n);function n(e){var r;ft(this,n),(r=t.call(this,e)).targetShape=e.targetShape;for(var a=0;a<r.targetShape.length;++a)r.isUnknown(r.targetShape[a])&&(r.targetShape[a]=null);return r}return vt(n,[{key:"isUnknown",value:function(e){return e<0||null==e}},{key:"fixUnknownDimension",value:function(e,t){for(var n="Total size of new array must be unchanged.",r=t.slice(),a=1,i=null,o=0;o<r.length;++o){var s=r[o];if(this.isUnknown(s)){if(null!==i)throw new ix("Can only specifiy one unknown dimension.");i=o}else a*=s}var u=Zx(e);if(null!==i){if(0===a||u%a!==0)throw new ix(n);r[i]=u/a}else if(u!==a)throw new ix(n);return r}},{key:"computeOutputShape",value:function(e){for(var t=!1,n=0;n<e.length;++n)if(this.isUnknown(e[n])){t=!0;break}return t?e.slice(0,1).concat(this.targetShape):e.slice(0,1).concat(this.fixUnknownDimension(e.slice(1),this.targetShape))}},{key:"call",value:function(e,t){var n=this;return Qc((function(){n.invokeCallHook(e,t);var r=Xk(e),a=r.shape,i=a.slice(0,1).concat(n.fixUnknownDimension(a.slice(1),n.targetShape));return dh(r,i)}))}},{key:"getConfig",value:function(){var e={targetShape:this.targetShape},t=ww(go(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(ow);fI.className="Reshape",_c(fI);var pI=function(e){mo(n,e);var t=wo(n);function n(e){var r;if(ft(this,n),r=t.call(this,e),null==e.dims)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 "+"".concat(e.dims," instead."));var a=tk(1,e.dims.length+1);if(!Mt(e.dims.slice().sort(),a))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 tw({ndim:r.dims.length+1})],r}return vt(n,[{key:"computeOutputShape",value:function(e){var t=(e=Yk(e)).slice();return this.dims.forEach((function(n,r){t[r+1]=e[n]})),t}},{key:"call",value:function(e,t){return qu(Xk(e),this.dimsIncludingBatch)}},{key:"getConfig",value:function(){var e={dims:this.dims},t=ww(go(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(ow);pI.className="Permute",_c(pI);var vI=function(e){mo(n,e);var t=wo(n);function n(e){var r;return ft(this,n),(r=t.call(this,null==e?{}:e)).supportsMasking=!0,r.maskValue=null!=e?null==e.maskValue?0:e.maskValue:0,r}return vt(n,[{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e=ww(go(n.prototype),"getConfig",this).call(this),t={maskValue:this.maskValue};return Object.assign(t,e),t}},{key:"computeMask",value:function(e,t){var n=Xk(e);return jl(tf(n,this.maskValue),-1)}},{key:"call",value:function(e,t){var n=this;return Qc((function(){n.invokeCallHook(e,t);var r=Xk(e),a=jl(tf(r,n.maskValue),-1,!0);return dl(r,ku(a,r.dtype))}))}}]),n}(ow);vI.className="Masking",_c(vI);var mI=function(e){mo(n,e);var t=wo(n);function n(e){var r;if(ft(this,n),(r=t.call(this,e)).embeddings=null,r.DEFAULT_EMBEDDINGS_INITIALIZER="randomUniform",null==e.batchInputShape&&null==e.inputShape){var a=null;null!=e.batchSize&&(a=e.batchSize),null==e.inputLength?r.batchInputShape=[a,null]:r.batchInputShape=[a].concat(dx(e.inputLength))}return r.inputDim=e.inputDim,Nx(r.inputDim,"inputDim"),r.outputDim=e.outputDim,Nx(r.outputDim,"outputDim"),r.embeddingsInitializer=Vk(e.embeddingsInitializer||r.DEFAULT_EMBEDDINGS_INITIALIZER),r.embeddingsRegularizer=gN(e.embeddingsRegularizer),r.activityRegularizer=gN(e.activityRegularizer),r.embeddingsConstraint=Lx(e.embeddingsConstraint),r.maskZero=e.maskZero,r.supportsMasking=e.maskZero,r.inputLength=e.inputLength,r}return vt(n,[{key:"build",value:function(e){this.embeddings=this.addWeight("embeddings",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0}},{key:"warnOnIncompatibleInputShape",value:function(e){}},{key:"computeMask",value:function(e,t){var n=this;return Qc((function(){return n.maskZero?(e=Xk(e),tf(e,vl(e))):null}))}},{key:"computeOutputShape",value:function(e){if(e=Yk(e),null==this.inputLength)return[].concat(dt(e),[this.outputDim]);var t=dx(this.inputLength);if(t.length!==e.length-1)throw new ix('"inputLength" is '.concat(this.inputLength,", but received ")+"input shape has shape ".concat(e));for(var n=0,r=0;r<t.length;++r){var a=t[r],i=e[r+1];if(null!=a&&null!=i&&a!==i)throw new ix('"inputLength" is '.concat(this.inputLength,", but received ")+"input shape has shape ".concat(e));null==a&&(t[n]=i),n++}return[e[0]].concat(dt(t),[this.outputDim])}},{key:"call",value:function(e,t){var n=this;return Qc((function(){n.invokeCallHook(e,t);var r=Xk(e);"int32"!==r.dtype&&(r=nk(r,"int32"));var a=fk(n.embeddings.read(),dh(r,[r.size]));return dh(a,Yk(n.computeOutputShape(r.shape)))}))}},{key:"getConfig",value:function(){var e={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:Wk(this.embeddingsInitializer),embeddingsRegularizer:vN(this.embeddingsRegularizer),activityRegularizer:vN(this.activityRegularizer),embeddingsConstraint:Ox(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},t=ww(go(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(ow);mI.className="Embedding",_c(mI);var gI=function(e){mo(n,e);var t=wo(n);function n(e){var r;return ft(this,n),(r=t.call(this,e||{})).supportsMasking=!0,r}return vt(n,[{key:"mergeFunction",value:function(e){throw new ox}},{key:"computeElementwiseOpOutputShape",value:function(e,t){if(null==e||null==t)return null;if(e.length<t.length)return this.computeElementwiseOpOutputShape(t,e);if(0===t.length)return e;for(var n=e.slice(0,e.length-t.length),r=0;r<t.length;++r){var a=e[e.length-t.length+r],i=t[r];if(null==a||null==i||a<0||i<0)n.push(null);else if(1===a)n.push(i);else if(1===i)n.push(a);else{if(a!==i)throw new ix("Operands could not be broadcast together with shapes "+JSON.stringify(e)+" "+JSON.stringify(t));n.push(a)}}return n}},{key:"build",value:function(e){if(Array.isArray(e)&&!Array.isArray(e[0])&&(e=[Yk(e)]),(e=e).length<2)throw new ix("A merge layer should be called on an Array of at least 2 inputs."+" Got ".concat(e.length," input(s)."));var t,n=[],r=lt(e);try{for(r.s();!(t=r.n()).done;){var a=t.value;null!=a&&null!==a[0]&&n.push(a[0])}}catch(oQ){r.e(oQ)}finally{r.f()}if((n=xx(n)).length>1)throw new ix("Can not merge tensors with different batch sizes. "+"Got tensors with shapes: ".concat(JSON.stringify(e),"."));for(var i=null==e[0]?null:e[0].slice(1),o=1;o<e.length;++o){var s=null==e[o]?null:e[o].slice(1);i=this.computeElementwiseOpOutputShape(i,s)}var u=e.map((function(e){return e.length}));-1===e.indexOf(null)&&1===xx(u).length?this.reshapeRequired=!1:this.reshapeRequired=!0}},{key:"call",value:function(e,t){var n=this;return Qc((function(){if(e=e,n.reshapeRequired){var t=[],r=e.map((function(e){return e.rank}));if(-1===r.indexOf(null)){var a,i=ek(r),o=lt(e);try{for(o.s();!(a=o.n()).done;){for(var s=a.value,u=s.rank,c=0;c<i-u;++c)s=rk(s,1);t.push(s)}}catch(oQ){o.e(oQ)}finally{o.f()}return n.mergeFunction(t)}var l,h=!1,d=lt(e);try{for(d.s();!(l=d.n()).done;){var f=l.value,p=f.rank;if(null==p){var v=f.shape,m=v[0],g=v.slice(1).concat([m]),y=dh(f,[m].concat(Zx(v.slice(1))));y=qu(y,[1,0]),y=dh(y,g),t.push(y),h=!0}else if(p>1){var b=tk(1,p).concat([0]);t.push(qu(f,b)),h=!0}else t.push(f)}}catch(oQ){d.e(oQ)}finally{d.f()}var x=n.mergeFunction(t),k=x.rank;if(h)if(null==k){var w=x.shape,S=w[w.length-1],N=[S].concat(w.slice(0,w.length-1));x=dh(qu(dh(x,[-1,S]),[1,0]),N)}else if(k>1){var I=[k-1].concat(tk(0,k-1));x=qu(x,I)}return x}return n.mergeFunction(e)}))}},{key:"computeOutputShape",value:function(e){var t;t=null==(e=e)[0]?null:e[0].slice(1);for(var n=1;n<e.length;++n){var r=null==e[n]?null:e[n].slice(1);t=this.computeElementwiseOpOutputShape(t,r)}var a,i=[],o=lt(e);try{for(o.s();!(a=o.n()).done;){var s=a.value;null!=s&&null!==s[0]&&i.push(s[0])}}catch(oQ){o.e(oQ)}finally{o.f()}return t=1===(i=xx(i)).length?i.concat(t):[null].concat(t)}},{key:"computeMask",value:function(e,t){return Qc((function(){if(null==t)return null;if(!Array.isArray(t))throw new ix("`mask` should be an Array");if(!Array.isArray(e))throw new ix("`inputs` should be an Array");if(t.length!==e.length)throw new ix("The Array 'inputs' and 'mask' are expected to have the same length, but have different lengths "+"(".concat(e.length," vs ").concat(t.length,")"));if(t.every((function(e){return null==e})))return null;for(var n=(t=t.map((function(e){return null==e?e:rd(e,0)})))[0],r=1;r<t.length-1;++r)n=Pd(n,t[r]);return n}))}}]),n}(ow),yI=function(e){mo(n,e);var t=wo(n);function n(e){return ft(this,n),t.call(this,e)}return vt(n,[{key:"mergeFunction",value:function(e){return Qc((function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=cl(t,e[n]);return t}))}}]),n}(gI);yI.className="Add",_c(yI);var bI=function(e){mo(n,e);var t=wo(n);function n(e){return ft(this,n),t.call(this,e)}return vt(n,[{key:"mergeFunction",value:function(e){return Qc((function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=dl(t,e[n]);return t}))}}]),n}(gI);bI.className="Multiply",_c(bI);var xI=function(e){mo(n,e);var t=wo(n);function n(e){return ft(this,n),t.call(this,e)}return vt(n,[{key:"mergeFunction",value:function(e){return Qc((function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=cl(t,e[n]);return dl(1/e.length,t)}))}}]),n}(gI);xI.className="Average",_c(xI);var kI=function(e){mo(n,e);var t=wo(n);function n(e){return ft(this,n),t.call(this,e)}return vt(n,[{key:"mergeFunction",value:function(e){return Qc((function(){for(var t=e[0],n=1;n<e.length;++n)t=Dl(t,e[n]);return t}))}}]),n}(gI);kI.className="Maximum",_c(kI);var wI=function(e){mo(n,e);var t=wo(n);function n(e){return ft(this,n),t.call(this,e)}return vt(n,[{key:"mergeFunction",value:function(e){return Qc((function(){for(var t=e[0],n=1;n<e.length;++n)t=Yd(t,e[n]);return t}))}}]),n}(gI);wI.className="Minimum",_c(wI);var SI=function(e){mo(n,e);var t=wo(n);function n(e){var r;return ft(this,n),(r=t.call(this,e)).DEFAULT_AXIS=-1,null==e&&(e={}),r.axis=null==e.axis?r.DEFAULT_AXIS:e.axis,r.supportsMasking=!0,r.reshapeRequired=!1,r}return vt(n,[{key:"build",value:function(e){if(!Array.isArray(e)||!Array.isArray(e[0])||1===e.length)throw new ix("A `Concatenate` layer should be called on a list of at least 2 inputs");var t,n=!0,r=lt(e=e);try{for(r.s();!(t=r.n()).done;){if(null!=t.value){n=!1;break}}}catch(oQ){r.e(oQ)}finally{r.f()}if(!n){for(var a=[],i=0;i<e.length;++i){var o=e[i].slice();o.splice(this.axis,1);var s,u=!1,c=lt(a);try{for(c.s();!(s=c.n()).done;){if(Mt(s.value,o)){u=!0;break}}}catch(oQ){c.e(oQ)}finally{c.f()}u||a.push(o)}if(a.length>1)throw new ix("A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: "+JSON.stringify(e))}}},{key:"mergeFunction",value:function(e){var t=this;return Qc((function(){return uk(e,t.axis)}))}},{key:"computeOutputShape",value:function(e){if(!Array.isArray(e)||!Array.isArray(e[0]))throw new ix("A `Concatenate` layer should be called on a list of inputs.");var t,n=e,r=n[0].slice(),a=this.axis<0?r.length+this.axis:this.axis,i=lt(n.slice(1));try{for(i.s();!(t=i.n()).done;){var o=t.value;if(null==r[a]||null==o[a]){r[a]=null;break}r[a]+=o[a]}}catch(oQ){i.e(oQ)}finally{i.f()}return r}},{key:"computeMask",value:function(e,t){var n=this;if(null==t)return null;if(!Array.isArray(t))throw new ix("`mask` should be an array for Concatenate");if(!Array.isArray(e))throw new ix("`inputs` should be an array for Concatenate");if(t.length!==e.length)throw new ix("Mismatch in the length of mask (".concat(t.length,") ")+"and the legnth of inputs (".concat(e.length,")"));return Qc((function(){var r=!0;if(t.forEach((function(e){null==e||(r=!1)})),r)return null;for(var a=[],i=0;i<e.length;++i)null==t[i]?a.push(ku(nf(e[i]),"bool")):t[i].rank<e[i].rank?a.push(rd(t[i],-1)):a.push(t[i]);var o=vh(a,n.axis);return Vl(o,-1,!1)}))}},{key:"getConfig",value:function(){var e={axis:this.axis},t=ww(go(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(gI);function NI(e,t){for(;e<0;)e+=t;return e}SI.className="Concatenate",_c(SI);var II=function(e){mo(n,e);var t=wo(n);function n(e){var r;return ft(this,n),(r=t.call(this,e)).axes=e.axes,r.normalize=null!=e.normalize&&e.normalize,r.supportsMasking=!0,r.reshapeRequired=!1,r}return vt(n,[{key:"build",value:function(e){Ct(Array.isArray(e)&&2===e.length&&Array.isArray(e[0])&&Array.isArray(e[1]),(function(){return"A `Dot` layer should be called on a list of exactly 2 inputs."}));var t=e[0],n=e[1];if(t.length>3||n.length>3)throw new ox("Dot layer does not support tensors of 4D or higher rank yet.");var r=this.interpretAxes(t,n);if(t[r[0]]!==n[r[1]])throw new ix("Dimension incompatibility: "+"".concat(t[r[0]]," !== ").concat(n[r[1]]))}},{key:"mergeFunction",value:function(e){if(2!==e.length)throw new ix("A `Dot` layer must be called on exactly 2 inputs, "+"but received ".concat(e.length," input(s)."));var t,n=e[0],r=e[1];return t=Array.isArray(this.axes)?this.axes.map((function(t,n){return NI(t,e[n].shape.length)})):[NI(this.axes,n.shape.length),NI(this.axes,r.shape.length)],this.normalize&&(n=Nw(n,t[0]),r=Nw(r,t[1])),function(e,t,n){if(e.shape.length>3||t.shape.length>3)throw new ox("batchDot is not implemented for tensors of 4D or higher rank yet");if(Ct(e.shape.length>=2,(function(){return"batchDot requires the rank of x to be >= 2, "+"but got ".concat(e.shape.length)})),Ct(e.shape.length>=2,(function(){return"batchDot requires the rank of y to be >= 2, "+"but got ".concat(t.shape.length)})),"number"===typeof n&&(n=[n,n]),"complex64"===e.dtype||"complex64"===t.dtype)throw new ox("batchDot is not implemented for complex64-type Tensors yet.");var r=e.shape.length,a=t.shape.length;null==n&&(n=[r-1,a-2]);var i=n;return Qc((function(){var n,o;if(r>a){n=r-a;for(var s=[],u=0;u<n;++u)s.push(1);t=dh(t,t.shape.concat(s))}else if(a>r){n=a-r;for(var c=[],l=0;l<n;++l)c.push(1);e=dh(e,e.shape.concat(c))}else n=0;if(2===e.shape.length&&2===t.shape.length)o=i[0]===i[1]?Td(dl(e,t),i[0]):Td(dl(qu(e,[1,0]),t),i[1]);else{var h=i[0]!==e.shape.length-1,d=i[1]===t.shape.length-1;o=Hu(e,t,h,d)}if(n>0){for(var f,p=[],v=f=r>a?r+a-3:r-1;v<f+n;++v)p.push(v);o=Zf(o,p)}return 1===o.shape.length&&(o=rd(o,1)),o}))}(n,r,t)}},{key:"interpretAxes",value:function(e,t){return Array.isArray(this.axes)?this.axes:[NI(this.axes,e.length),NI(this.axes,t.length)]}},{key:"computeOutputShape",value:function(e){Ct(Array.isArray(e)&&2===e.length&&Array.isArray(e[0])&&Array.isArray(e[1]),(function(){return"A `Dot` layer should be called on a list of exactly 2 inputs."}));var t=e[0].slice(),n=e[1].slice();if(t.length>3||n.length>3)throw new ox("Dot layer does not support tensors of 4D or higher rank yet.");var r=this.interpretAxes(t,n);t.splice(r[0],1),n.splice(r[1],1),n.splice(0,1);var a=t.concat(n);return 1===a.length&&a.push(1),a}},{key:"computeMask",value:function(e,t){return null}},{key:"getConfig",value:function(){var e={axes:this.axes,normalize:this.normalize},t=ww(go(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(gI);II.className="Dot",_c(II);var TI=function(e){mo(n,e);var t=wo(n);function n(e){var r;return ft(this,n),(r=t.call(this,e)).supportsMasking=!0,r.stddev=e.stddev,r}return vt(n,[{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e=ww(go(n.prototype),"getConfig",this).call(this),t={stddev:this.stddev};return Object.assign(t,e),t}},{key:"call",value:function(e,t){var n=this;return Qc((function(){n.invokeCallHook(e,t);var r=Xk(e);return bk((function(){return cl(hk(r.shape,0,n.stddev),r)}),(function(){return r}),t.training||!1)}))}}]),n}(ow);TI.className="GaussianNoise",_c(TI);var CI=function(e){mo(n,e);var t=wo(n);function n(e){var r;return ft(this,n),(r=t.call(this,e)).supportsMasking=!0,r.rate=e.rate,r}return vt(n,[{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e=ww(go(n.prototype),"getConfig",this).call(this),t={rate:this.rate};return Object.assign(t,e),t}},{key:"call",value:function(e,t){var n=this;return Qc((function(){n.invokeCallHook(e,t);var r=Xk(e);if(n.rate>0&&n.rate<1){return bk((function(){var e=Math.sqrt(n.rate/(1-n.rate));return dl(r,hk(r.shape,1,e))}),(function(){return r}),t.training||!1)}return r}))}}]),n}(ow);CI.className="GaussianDropout",_c(CI);var EI=function(e){mo(n,e);var t=wo(n);function n(e){var r;return ft(this,n),(r=t.call(this,e)).supportsMasking=!0,r.rate=e.rate,r.noiseShape=e.noiseShape,r}return vt(n,[{key:"_getNoiseShape",value:function(e){return this.noiseShape||Xk(e).shape}},{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e=ww(go(n.prototype),"getConfig",this).call(this),t={rate:this.rate};return Object.assign(t,e),t}},{key:"call",value:function(e,t){var n=this;return Qc((function(){if(n.rate<1&&n.rate>0){var r=n._getNoiseShape(e);return bk((function(){var t=Xk(e),a=-1.7580993408473766,i=ld(kf(r),n.rate);i=nk(i,"float32");var o=Math.pow((1-n.rate)*(1+n.rate*Math.pow(a,2)),-.5),s=-o*a*n.rate,u=cl(dl(t,i),dl(cl(i,-1),a));return cl(dl(u,o),s)}),(function(){return Xk(e)}),t.training||!1)}return e}))}}]),n}(ow);function _I(e,t,n,r,a){var i,o=arguments.length>5&&void 0!==arguments[5]?arguments[5]:.001;if(2===e.rank)i=wh(e,t,n,r,a,o);else if(3===e.rank)i=Sh(e,t,n,r,a,o);else{if(4!==e.rank)throw new ox("batchNormalization is not implemented for array of rank ".concat(e.rank," ")+"yet");i=Nh(e,t,n,r,a,o)}return i}function AI(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:.001;return Qc((function(){var i=Zd(e,r),o=i.mean,s=i.variance;return[_I(e,o,s,n,t,a),o,s]}))}function RI(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:.001;return Qc((function(){var i,o=Zd(e,r),s=o.mean,u=o.variance,c=[],l=lt(tk(0,e.rank));try{for(l.s();!(i=l.n()).done;){var h=i.value;-1!==r.indexOf(h)?c.push(1):c.push(e.shape[h])}}catch(oQ){l.e(oQ)}finally{l.f()}var d=dh(s,c),f=dh(u,c),p=null==t?null:dh(t,c),v=null==n?null:dh(n,c);return[_I(e,d,f,v,p,a),s,u]}))}EI.className="AlphaDropout",_c(EI);var DI=function(e){mo(n,e);var t=wo(n);function n(e){var r;return ft(this,n),null==e&&(e={}),(r=t.call(this,e)).supportsMasking=!0,r.axis=null==e.axis?-1:e.axis,r.momentum=null==e.momentum?.99:e.momentum,r.epsilon=null==e.epsilon?.001:e.epsilon,r.center=null==e.center||e.center,r.scale=null==e.scale||e.scale,r.betaInitializer=Vk(e.betaInitializer||"zeros"),r.gammaInitializer=Vk(e.gammaInitializer||"ones"),r.movingMeanInitializer=Vk(e.movingMeanInitializer||"zeros"),r.movingVarianceInitializer=Vk(e.movingVarianceInitializer||"ones"),r.betaConstraint=Lx(e.betaConstraint),r.gammaConstraint=Lx(e.gammaConstraint),r.betaRegularizer=gN(e.betaRegularizer),r.gammaRegularizer=gN(e.gammaRegularizer),r}return vt(n,[{key:"build",value:function(e){e=Yk(e);var t=this.axis>=0?this.axis:this.axis+e.length,n=e[t];if(null==n)throw new ix("Axis ".concat(t," of input tensor should have a defined dimension but ")+"the layer received an input with shape "+"".concat(JSON.stringify(e),"."));this.inputSpec=[new tw({ndim:e.length,axes:NN({},t,n)})];var r=[n];this.scale&&(this.gamma=this.addWeight("gamma",r,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight("beta",r,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight("moving_mean",r,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight("moving_variance",r,null,this.movingVarianceInitializer,null,!1),this.built=!0}},{key:"call",value:function(e,t){var n=this;return Qc((function(){var r=null!=t.training&&t.training,a=Xk(e),i=a.shape,o=i.length,s=tk(0,o),u=n.axis>=0?n.axis:n.axis+o;s.splice(u,1);var c=ux(1,o);c[u]=i[u];var l=s.slice();l.sort();var h=!Mt(l,tk(0,o).slice(0,o-1));if(!r)return function(){if(h){var e=dh(n.movingMean.read(),c),t=dh(n.movingVariance.read(),c),r=n.center?dh(n.beta.read(),c):null,i=n.scale?dh(n.gamma.read(),c):null;return _I(a,e,t,r,i,n.epsilon)}return _I(a,n.movingMean.read(),n.movingVariance.read(),null==n.beta?null:n.beta.read(),null==n.gamma?null:n.gamma.read(),n.epsilon)}();var d=function(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:.001;return Mt(r.slice().sort(),tk(0,e.rank-1))?AI(e,t,n,r,a):RI(e,t,n,r,a)}(a,n.gamma.read(),n.beta.read(),s,n.epsilon),f=G(d,3),p=f[0],v=f[1],m=f[2],g=function(e,t,n){Qc((function(){var r=1-n,a=e.read(),i=dl(_l(a,t),r);e.write(_l(a,i))}))};return g(n.movingMean,v,n.momentum),g(n.movingVariance,m,n.momentum),p}))}},{key:"getConfig",value:function(){var e={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:Wk(this.betaInitializer),gammaInitializer:Wk(this.gammaInitializer),movingMeanInitializer:Wk(this.movingMeanInitializer),movingVarianceInitializer:Wk(this.movingVarianceInitializer),betaRegularizer:vN(this.betaRegularizer),gammaRegularizer:vN(this.gammaRegularizer),betaConstraint:Ox(this.betaConstraint),gammaConstraint:Ox(this.gammaConstraint)},t=ww(go(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(ow);DI.className="BatchNormalization",_c(DI);var MI=function(e){mo(n,e);var t=wo(n);function n(e){var r;if(ft(this,n),null==e&&(e={}),(r=t.call(this,e)).axis=null==e.axis?-1:e.axis,"number"===typeof r.axis){if(!Number.isInteger(r.axis))throw new Error("Expected axis to be an integer, but received ".concat(r.axis))}else{if(!Array.isArray(r.axis))throw new Error("Expected axis to be an integer or an array of integers, "+"but received ".concat(JSON.stringify(r.axis)));var a,i=lt(r.axis);try{for(i.s();!(a=i.n()).done;){var o=a.value;if(!Number.isInteger(o))throw new Error("Expected axis to be an array of integers, "+"but received ".concat(JSON.stringify(r.axis)))}}catch(oQ){i.e(oQ)}finally{i.f()}}return r.epsilon=null==e.epsilon?.001:e.epsilon,r.center=null==e.center||e.center,r.scale=null==e.scale||e.scale,r.betaInitializer=Vk(e.betaInitializer||"zeros"),r.gammaInitializer=Vk(e.gammaInitializer||"ones"),r.betaRegularizer=gN(e.betaRegularizer),r.gammaRegularizer=gN(e.gammaRegularizer),r.supportsMasking=!0,r}return vt(n,[{key:"build",value:function(e){var t=(e=Yk(e)).length;"number"===typeof this.axis&&(this.axis=[this.axis]);for(var n=0;n<this.axis.length;++n)this.axis[n]<0&&(this.axis[n]+=t);var r,a=lt(this.axis);try{for(a.s();!(r=a.n()).done;){var i=r.value;if(i<0||i>=t)throw new Error("Invalid axis: ".concat(i))}}catch(oQ){a.e(oQ)}finally{a.f()}if(this.axis.length!==xx(this.axis).length)throw new Error("Found duplicate axes in: ".concat(this.axis));var o=this.axis.map((function(t){return e[t]}));this.scale?this.gamma=this.addWeight("gamma",o,"float32",this.gammaInitializer,this.gammaRegularizer,true):this.gamma=null,this.center?this.beta=this.addWeight("beta",o,"float32",this.betaInitializer,this.betaRegularizer,true):this.beta=null,this.built=!0}},{key:"call",value:function(e,t){var n=this,r=Xk(e),a=r.shape,i=a.length;return Qc((function(){var e,t=Zd(r,n.axis,!0),o=t.mean,s=t.variance,u=ux(1,i),c=lt(n.axis);try{for(c.s();!(e=c.n()).done;){var l=e.value;u[l]=a[l]}}catch(oQ){c.e(oQ)}finally{c.f()}for(var h=function(e){return null!=e&&e.shape.length!==i?dh(e,u):e},d=h(n.gamma.read()),f=h(n.beta.read()),p=[],v=[],m=0;m<i;++m)-1!==n.axis.indexOf(m)?(p.push(a[m]),v.push(1)):(p.push(1),v.push(a[m]));return o=id(o,p),s=id(s,p),d=id(d,v),f=id(f,v),_I(r,o,s,f,d,n.epsilon)}))}},{key:"getConfig",value:function(){var e={axis:this.axis,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:Wk(this.betaInitializer),gammaInitializer:Wk(this.gammaInitializer),betaRegularizer:vN(this.betaRegularizer),gammaRegularizer:vN(this.gammaRegularizer)},t=ww(go(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(ow);MI.className="LayerNormalization",_c(MI);var OI=function(e){mo(n,e);var t=wo(n);function n(e){var r;if(ft(this,n),null==e&&(e={}),(r=t.call(this,e)).dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,null==e.padding)r.padding=[[1,1],[1,1]];else if("number"===typeof e.padding)r.padding=[[e.padding,e.padding],[e.padding,e.padding]];else{if(e.padding=e.padding,2!==e.padding.length)throw new ix("ZeroPadding2D expects padding to be a length-2 array, but "+"received a length-".concat(e.padding.length," array."));var a,i;if("number"===typeof e.padding[0])a=[e.padding[0],e.padding[0]],i=[e.padding[1],e.padding[1]];else{if(e.padding=e.padding,2!==e.padding[0].length)throw new ix("ZeroPadding2D expects height padding to be a length-2 array, "+"but received a length-".concat(e.padding[0].length," array."));if(a=e.padding[0],2!==e.padding[1].length)throw new ix("ZeroPadding2D expects width padding to be a length-2 array, "+"but received a length-".concat(e.padding[1].length," array."));i=e.padding[1]}r.padding=[a,i]}return r.inputSpec=[new tw({ndim:4})],r}return vt(n,[{key:"computeOutputShape",value:function(e){var t,n;return e=Yk(e),"channelsFirst"===this.dataFormat?(t=null!=e[2]&&e[2]>=0?e[2]+this.padding[0][0]+this.padding[0][1]:null,n=null!=e[3]&&e[3]>=0?e[3]+this.padding[1][0]+this.padding[1][1]:null,[e[0],e[1],t,n]):(t=null!=e[1]&&e[1]>=0?e[1]+this.padding[0][0]+this.padding[0][1]:null,n=null!=e[2]&&e[2]>=0?e[2]+this.padding[1][0]+this.padding[1][1]:null,[e[0],t,n,e[3]])}},{key:"call",value:function(e,t){var n=this;return Qc((function(){return t=Xk(e),r=n.padding,a=n.dataFormat,Qc((function(){if(4!==t.rank)throw new ix("temporalPadding expects input tensor to be 4-D, but received a "+"".concat(t.rank,"-D tensor."));if(null==r&&(r=[[1,1],[1,1]]),2!==r.length||2!==r[0].length||2!==r[1].length)throw new ix("spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.");if(null==a&&(a="channelsLast"),"channelsLast"!==a&&"channelsFirst"!==a)throw new ix("Unknown data format: ".concat(a,". ")+"Supported data formats are 'channelsLast' and 'channelsFirst.");var e;return e="channelsFirst"===a?[[0,0],[0,0],r[0],r[1]]:[[0,0],r[0],r[1],[0,0]],af(t,e)}));var t,r,a}))}},{key:"getConfig",value:function(){var e={padding:this.padding,dataFormat:this.dataFormat},t=ww(go(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(ow);function FI(e,t,n,r,a,i){return Qc((function(){var o;Ux(a),Gx(i),Hx(r),null==n&&(n=[1,1]),null==r&&(r="valid"),null==a&&(a="channelsLast"),null==i&&(i="max"),e=EN(e,a);var s="same"===r?"same":"valid";return o="max"===i?Vd(e,t,n,s):fh(e,t,n,s),"channelsFirst"===a&&(o=qu(o,[0,3,1,2])),o}))}function LI(e,t,n,r,a,i){return Qc((function(){var o;Ux(a),Gx(i),Hx(r),null==n&&(n=[1,1,1]),null==r&&(r="valid"),null==a&&(a="channelsLast"),null==i&&(i="max"),e=_N(e,a);var s="same"===r?"same":"valid";return o="max"===i?jd(e,t,n,s):ph(e,t,n,s),"channelsFirst"===a&&(o=qu(o,[0,4,1,2,3])),o}))}OI.className="ZeroPadding2D",_c(OI);var PI=function(e){mo(n,e);var t=wo(n);function n(e){var r;if(ft(this,n),null==e.poolSize&&(e.poolSize=2),r=t.call(this,e),"number"===typeof e.poolSize)r.poolSize=[e.poolSize];else{if(!Array.isArray(e.poolSize)||1!==e.poolSize.length||"number"!==typeof e.poolSize[0])throw new ix("poolSize for 1D convolutional layer must be a number or an Array of a single number, but received "+"".concat(JSON.stringify(e.poolSize)));r.poolSize=e.poolSize}if(Nx(r.poolSize,"poolSize"),null==e.strides)r.strides=r.poolSize;else if("number"===typeof e.strides)r.strides=[e.strides];else{if(!Array.isArray(e.strides)||1!==e.strides.length||"number"!==typeof e.strides[0])throw new ix("strides for 1D convolutional layer must be a number or an Array of a single number, but received "+"".concat(JSON.stringify(e.strides)));r.strides=e.strides}return Nx(r.strides,"strides"),r.padding=null==e.padding?"valid":e.padding,Hx(r.padding),r.inputSpec=[new tw({ndim:3})],r}return vt(n,[{key:"computeOutputShape",value:function(e){var t=TN((e=Yk(e))[1],this.poolSize[0],this.padding,this.strides[0]);return[e[0],t,e[2]]}},{key:"call",value:function(e,t){var n=this;return Qc((function(){n.invokeCallHook(e,t),e=rk(Xk(e),2);var r=n.poolingFunction(Xk(e),[n.poolSize[0],1],[n.strides[0],1],n.padding,"channelsLast");return Zf(r,[2])}))}},{key:"getConfig",value:function(){var e={poolSize:this.poolSize,padding:this.padding,strides:this.strides},t=ww(go(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(ow),zI=function(e){mo(n,e);var t=wo(n);function n(e){return ft(this,n),t.call(this,e)}return vt(n,[{key:"poolingFunction",value:function(e,t,n,r,a){return Ux(a),Hx(r),FI(e,t,n,r,a,"max")}}]),n}(PI);zI.className="MaxPooling1D",_c(zI);var BI=function(e){mo(n,e);var t=wo(n);function n(e){return ft(this,n),t.call(this,e)}return vt(n,[{key:"poolingFunction",value:function(e,t,n,r,a){return Ux(a),Hx(r),FI(e,t,n,r,a,"avg")}}]),n}(PI);BI.className="AveragePooling1D",_c(BI);var WI=function(e){mo(n,e);var t=wo(n);function n(e){var r;if(ft(this,n),null==e.poolSize&&(e.poolSize=[2,2]),(r=t.call(this,e)).poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize],null==e.strides)r.strides=r.poolSize;else if(Array.isArray(e.strides)){if(2!==e.strides.length)throw new ix("If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length "+"".concat(e.strides.length,"."));r.strides=e.strides}else r.strides=[e.strides,e.strides];return Nx(r.poolSize,"poolSize"),Nx(r.strides,"strides"),r.padding=null==e.padding?"valid":e.padding,r.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,Ux(r.dataFormat),Hx(r.padding),r.inputSpec=[new tw({ndim:4})],r}return vt(n,[{key:"computeOutputShape",value:function(e){e=Yk(e);var t="channelsFirst"===this.dataFormat?e[2]:e[1],n="channelsFirst"===this.dataFormat?e[3]:e[2];return t=TN(t,this.poolSize[0],this.padding,this.strides[0]),n=TN(n,this.poolSize[1],this.padding,this.strides[1]),"channelsFirst"===this.dataFormat?[e[0],e[1],t,n]:[e[0],t,n,e[3]]}},{key:"call",value:function(e,t){var n=this;return Qc((function(){return n.invokeCallHook(e,t),n.poolingFunction(Xk(e),n.poolSize,n.strides,n.padding,n.dataFormat)}))}},{key:"getConfig",value:function(){var e={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},t=ww(go(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(ow),VI=function(e){mo(n,e);var t=wo(n);function n(e){return ft(this,n),t.call(this,e)}return vt(n,[{key:"poolingFunction",value:function(e,t,n,r,a){return Ux(a),Hx(r),FI(e,t,n,r,a,"max")}}]),n}(WI);VI.className="MaxPooling2D",_c(VI);var jI=function(e){mo(n,e);var t=wo(n);function n(e){return ft(this,n),t.call(this,e)}return vt(n,[{key:"poolingFunction",value:function(e,t,n,r,a){return Ux(a),Hx(r),FI(e,t,n,r,a,"avg")}}]),n}(WI);jI.className="AveragePooling2D",_c(jI);var UI=function(e){mo(n,e);var t=wo(n);function n(e){var r;if(ft(this,n),null==e.poolSize&&(e.poolSize=[2,2,2]),(r=t.call(this,e)).poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize,e.poolSize],null==e.strides)r.strides=r.poolSize;else if(Array.isArray(e.strides)){if(3!==e.strides.length)throw new ix("If the strides property of a 3D pooling layer is an Array, it is expected to have a length of 3, but received length "+"".concat(e.strides.length,"."));r.strides=e.strides}else r.strides=[e.strides,e.strides,e.strides];return Nx(r.poolSize,"poolSize"),Nx(r.strides,"strides"),r.padding=null==e.padding?"valid":e.padding,r.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,Ux(r.dataFormat),Hx(r.padding),r.inputSpec=[new tw({ndim:5})],r}return vt(n,[{key:"computeOutputShape",value:function(e){e=Yk(e);var t="channelsFirst"===this.dataFormat?e[2]:e[1],n="channelsFirst"===this.dataFormat?e[3]:e[2],r="channelsFirst"===this.dataFormat?e[4]:e[3];return t=TN(t,this.poolSize[0],this.padding,this.strides[0]),n=TN(n,this.poolSize[1],this.padding,this.strides[1]),r=TN(r,this.poolSize[2],this.padding,this.strides[2]),"channelsFirst"===this.dataFormat?[e[0],e[1],t,n,r]:[e[0],t,n,r,e[4]]}},{key:"call",value:function(e,t){var n=this;return Qc((function(){return n.invokeCallHook(e,t),n.poolingFunction(Xk(e),n.poolSize,n.strides,n.padding,n.dataFormat)}))}},{key:"getConfig",value:function(){var e={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},t=ww(go(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(ow),HI=function(e){mo(n,e);var t=wo(n);function n(e){return ft(this,n),t.call(this,e)}return vt(n,[{key:"poolingFunction",value:function(e,t,n,r,a){return Ux(a),Hx(r),LI(e,t,n,r,a,"max")}}]),n}(UI);HI.className="MaxPooling3D",_c(HI);var GI=function(e){mo(n,e);var t=wo(n);function n(e){return ft(this,n),t.call(this,e)}return vt(n,[{key:"poolingFunction",value:function(e,t,n,r,a){return Ux(a),Hx(r),LI(e,t,n,r,a,"avg")}}]),n}(UI);GI.className="AveragePooling3D",_c(GI);var qI=function(e){mo(n,e);var t=wo(n);function n(e){var r;return ft(this,n),(r=t.call(this,e)).inputSpec=[new tw({ndim:3})],r}return vt(n,[{key:"computeOutputShape",value:function(e){return[e[0],e[2]]}},{key:"call",value:function(e,t){throw new ox}}]),n}(ow),KI=function(e){mo(n,e);var t=wo(n);function n(e){return ft(this,n),t.call(this,e||{})}return vt(n,[{key:"call",value:function(e,t){return Qc((function(){var t=Xk(e);return Hd(t,1)}))}}]),n}(qI);KI.className="GlobalAveragePooling1D",_c(KI);var XI=function(e){mo(n,e);var t=wo(n);function n(e){return ft(this,n),t.call(this,e||{})}return vt(n,[{key:"call",value:function(e,t){return Qc((function(){var t=Xk(e);return Id(t,1)}))}}]),n}(qI);XI.className="GlobalMaxPooling1D",_c(XI);var YI=function(e){mo(n,e);var t=wo(n);function n(e){var r;return ft(this,n),(r=t.call(this,e)).dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,Ux(r.dataFormat),r.inputSpec=[new tw({ndim:4})],r}return vt(n,[{key:"computeOutputShape",value:function(e){return e=e,"channelsLast"===this.dataFormat?[e[0],e[3]]:[e[0],e[1]]}},{key:"call",value:function(e,t){throw new ox}},{key:"getConfig",value:function(){var e={dataFormat:this.dataFormat},t=ww(go(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(ow),QI=function(e){mo(n,e);var t=wo(n);function n(){return ft(this,n),t.apply(this,arguments)}return vt(n,[{key:"call",value:function(e,t){var n=this;return Qc((function(){var t=Xk(e);return"channelsLast"===n.dataFormat?Hd(t,[1,2]):Hd(t,[2,3])}))}}]),n}(YI);QI.className="GlobalAveragePooling2D",_c(QI);var JI=function(e){mo(n,e);var t=wo(n);function n(){return ft(this,n),t.apply(this,arguments)}return vt(n,[{key:"call",value:function(e,t){var n=this;return Qc((function(){var t=Xk(e);return"channelsLast"===n.dataFormat?Id(t,[1,2]):Id(t,[2,3])}))}}]),n}(YI);JI.className="GlobalMaxPooling2D",_c(JI);var ZI=function(e){mo(n,e);var t=wo(n);function n(e){var r;return ft(this,n),(r=t.call(this,e)).layer=e.layer,r}return vt(n,[{key:"build",value:function(e){this.built=!0}},{key:"trainable",get:function(){return null!=this.layer&&this.layer.trainable},set:function(e){null!=this.layer&&(this.layer.trainable=e)}},{key:"trainableWeights",get:function(){return this.layer.trainableWeights}},{key:"nonTrainableWeights",get:function(){return this.layer.nonTrainableWeights}},{key:"updates",get:function(){return this.layer._updates}},{key:"losses",get:function(){return this.layer.losses}},{key:"getWeights",value:function(){return this.layer.getWeights()}},{key:"setWeights",value:function(e){this.layer.setWeights(e)}},{key:"getConfig",value:function(){var e={layer:{className:this.layer.getClassName(),config:this.layer.getConfig()}},t=ww(go(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}},{key:"setFastWeightInitDuringBuild",value:function(e){ww(go(n.prototype),"setFastWeightInitDuringBuild",this).call(this,e),null!=this.layer&&this.layer.setFastWeightInitDuringBuild(e)}}],[{key:"fromConfig",value:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:{},r=t.layer,a=Sw(r,n);delete t.layer;var i={layer:a};return Object.assign(i,t),new e(i)}}]),n}(ow),$I=function(e){mo(n,e);var t=wo(n);function n(e){var r;return ft(this,n),(r=t.call(this,e)).supportsMasking=!0,r}return vt(n,[{key:"build",value:function(e){if((e=Yk(e)).length<3)throw new ix("TimeDistributed layer expects an input shape >= 3D, but received "+"input shape ".concat(JSON.stringify(e)));this.inputSpec=[{shape:e}];var t=[e[0]].concat(e.slice(2));this.layer.built||(this.layer.build(t),this.layer.built=!0),ww(go(n.prototype),"build",this).call(this,e)}},{key:"computeOutputShape",value:function(e){var t=[(e=Yk(e))[0]].concat(e.slice(2)),n=this.layer.computeOutputShape(t),r=e[1];return[n[0],r].concat(n.slice(1))}},{key:"call",value:function(e,t){var n=this;return Qc((function(){return qN((function(e,r){return[Xk(n.layer.call(e,t)),[]]}),e=Xk(e),[],!1,null,null,!1,!0)[1]}))}}]),n}(ZI);$I.className="TimeDistributed",_c($I);var eT=function(e){mo(n,e);var t=wo(n);function n(e){var r;ft(this,n),r=t.call(this,e);var a=e.layer.getConfig(),i={};i.className=e.layer.getClassName(),i.config=a,r.forwardLayer=Sw(i),a.goBackwards=!0!==a.goBackwards;var o,s={};if(s.className=e.layer.getClassName(),s.config=a,r.backwardLayer=Sw(s),r.forwardLayer.name="forward_"+r.forwardLayer.name,r.backwardLayer.name="backward_"+r.backwardLayer.name,r.mergeMode=void 0===e.mergeMode?"concat":e.mergeMode,o=r.mergeMode,wx(Vx,"BidirectionalMergeMode",o),e.weights)throw new ox("weights support is not implemented for Bidirectional layer yet.");return r._stateful=e.layer.stateful,r.returnSequences=e.layer.returnSequences,r.returnState=e.layer.returnState,r.supportsMasking=!0,r._trainable=!0,r.inputSpec=e.layer.inputSpec,r.numConstants=null,r}return vt(n,[{key:"trainable",get:function(){return this._trainable},set:function(e){this._trainable=e,null!=this.forwardLayer&&(this.forwardLayer.trainable=e),null!=this.backwardLayer&&(this.backwardLayer.trainable=e)}},{key:"getWeights",value:function(){return this.forwardLayer.getWeights().concat(this.backwardLayer.getWeights())}},{key:"setWeights",value:function(e){var t=e.length,n=Math.floor(t/2);this.forwardLayer.setWeights(e.slice(0,n)),this.backwardLayer.setWeights(e.slice(n))}},{key:"computeOutputShape",value:function(e){var t,n,r,a=this.forwardLayer.computeOutputShape(e);return Array.isArray(a)&&Array.isArray(a[0])||(a=[a]),a=a,this.returnState?(r=a.slice(1),t=a[0]):t=a[0],t=t,"concat"===this.mergeMode?(t[t.length-1]*=2,n=[t]):n=null==this.mergeMode?[t,t.slice()]:[t],this.returnState?null==this.mergeMode?n.concat(r).concat(r.slice()):[t].concat(r).concat(r.slice()):hx(n)}},{key:"apply",value:function(e,t){var r=null==t?null:t.initialState,a=null==t?null:t.constants;null==t&&(t={});var i=GN(e,r,a,this.numConstants);if(e=i.inputs,r=i.initialState,a=i.constants,Array.isArray(e)&&(r=e.slice(1),e=e[0]),(null==r||0===r.length)&&null==a)return ww(go(n.prototype),"apply",this).call(this,e,t);var o=[],s=[];if(null!=r){var u=r.length;if(u%2>0)throw new ix("When passing `initialState` to a Bidrectional RNN, the state should be an Array containing the states of the underlying RNNs.");t.initialState=r,o.push.apply(o,dt(r));var c=r.map((function(e){return new tw({shape:e.shape})}));this.forwardLayer.stateSpec=c.slice(0,u/2),this.backwardLayer.stateSpec=c.slice(u/2),s.push.apply(s,dt(c))}if(null!=a)throw new ox("Support for constants in Bidirectional layers is not implemented yet.");for(var l=o[0]instanceof nw,h=0,d=o;h<d.length;h++){if(d[h]instanceof nw!==l)throw new ix("The initial state of a Bidirectional layer cannot be specified as a mix of symbolic and non-symbolic tensors")}if(l){var f=[e].concat(o),p=this.inputSpec.concat(s),v=this.inputSpec;this.inputSpec=p;var m=ww(go(n.prototype),"apply",this).call(this,f,t);return this.inputSpec=v,m}return ww(go(n.prototype),"apply",this).call(this,e,t)}},{key:"call",value:function(e,t){var n=this;return Qc((function(){var r,a,i,o,s=t.initialState;if(null==s)r=n.forwardLayer.call(e,t),a=n.backwardLayer.call(e,t);else{var u=s.slice(0,s.length/2),c=s.slice(s.length/2);r=n.forwardLayer.call(e,Object.assign(t,{initialState:u})),a=n.backwardLayer.call(e,Object.assign(t,{initialState:c}))}return n.returnState&&(Array.isArray(r)&&(i=r.slice(1).concat(a.slice(1))),r=r[0],a=a[0]),n.returnSequences&&(a=Cf(a,1)),"concat"===n.mergeMode?o=uk([r,a]):"sum"===n.mergeMode?o=cl(r,a):"ave"===n.mergeMode?o=dl(.5,cl(r,a)):"mul"===n.mergeMode?o=dl(r,a):null==n.mergeMode&&(o=[r,a]),n.returnState?null==n.mergeMode?o.concat(i):[o].concat(i):o}))}},{key:"resetStates",value:function(e){this.forwardLayer.resetStates(),this.backwardLayer.resetStates()}},{key:"build",value:function(e){var t=this;Kx(this.forwardLayer.name,(function(){t.forwardLayer.build(e)})),Kx(this.backwardLayer.name,(function(){t.backwardLayer.build(e)})),this.built=!0}},{key:"computeMask",value:function(e,t){var n;if(Array.isArray(t)&&(t=t[0]),n=this.returnSequences?null==this.mergeMode?[t,t]:t:null==this.mergeMode?[null,null]:null,this.returnState){var r=this.forwardLayer.states.map((function(e){return null}));return Array.isArray(n)?n.concat(r).concat(r):[n].concat(r).concat(r)}return n}},{key:"trainableWeights",get:function(){return this.forwardLayer.trainableWeights.concat(this.backwardLayer.trainableWeights)}},{key:"nonTrainableWeights",get:function(){return this.forwardLayer.nonTrainableWeights.concat(this.backwardLayer.nonTrainableWeights)}},{key:"setFastWeightInitDuringBuild",value:function(e){ww(go(n.prototype),"setFastWeightInitDuringBuild",this).call(this,e),null!=this.forwardLayer&&this.forwardLayer.setFastWeightInitDuringBuild(e),null!=this.backwardLayer&&this.backwardLayer.setFastWeightInitDuringBuild(e)}},{key:"getConfig",value:function(){var e={mergeMode:this.mergeMode},t=ww(go(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}],[{key:"fromConfig",value:function(e,t){var n=Sw(t.layer);if(delete t.layer,null!=t.numConstants)throw new ox("Deserialization of a Bidirectional layer with numConstants present is not supported yet.");var r=t;return r.layer=n,new e(r)}}]),n}(ZI);eT.className="Bidirectional",_c(eT);function tT(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:new Map,r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:new Set;if(null==e)return null;if("function"===typeof Blob&&e instanceof Blob)return e.slice();if(r.has(e))throw new Error("Circular references are not supported.");if(n.has(e))return n.get(e);var a=t(e);if(a.recurse&&null!==a.value)throw new Error("A deep map function may not return both a value and recurse=true.");if(a.recurse){if(iT(e)){var i=Array.isArray(e)?[]:{};for(var o in r.add(e),e){var s=e[o],u=tT(s,t,n,r);i[o]=u}return r.delete(e),e.__proto__&&(i.__proto__=e.__proto__),i}throw new Error("Can't recurse into non-iterable type: ".concat(e))}return n.set(e,a.value),a.value}function nT(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:aT;return rT(e,t)}function rT(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:new Set,r=e[0];if(n.has(r))throw new Error("Circular references are not supported.");var a=t(e);if(a.recurse&&null!==a.value)throw new Error("A deep zip function may not return both a value and recurse=true.");if(a.recurse){if(iT(r)){var i=Array.isArray(r)?[]:{};n.add(r);var o=function(r){var a=rT(e.map((function(e){return e[r]})),t,n);i[r]=a};for(var s in r)o(s);return n.delete(r),i}throw new Error("Can't recurse into non-iterable type: ".concat(r))}return a.value}function aT(e){return null===e?null:iT(e[0])?{value:null,recurse:!0}:{value:e,recurse:!1}}function iT(e){var t=!1;yn().get("IS_BROWSER")?t=e instanceof TextDecoder:t=e instanceof n(977).StringDecoder;return null!=e&&!ArrayBuffer.isView(e)&&(Array.isArray(e)||"object"===typeof e&&!(e instanceof Ro)&&!(e instanceof Promise)&&!t)}function oT(e){return function(e,t){return tT(e,t)}(e,sT)}function sT(e){return e instanceof Ro?{value:e.clone(),recurse:!1}:iT(e)?{value:null,recurse:!0}:{value:e,recurse:!1}}var uT=function(){function e(t){if(ft(this,e),this.capacity=t,this.begin=0,this.end=0,null==t)throw new 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t,n=lt(e);try{for(n.s();!(t=n.n()).done;){var r=t.value;this.push(r)}}catch(oQ){n.e(oQ)}finally{n.f()}}},{key:"pop",value:function(){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");this.end=this.wrap(this.end-1);var e=this.get(this.end);return this.set(this.end,void 0),e}},{key:"unshift",value:function(e){if(this.isFull())throw new RangeError("Ring buffer is full.");this.begin=this.wrap(this.begin-1),this.set(this.begin,e)}},{key:"shift",value:function(){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");var e=this.get(this.begin);return this.set(this.begin,void 0),this.begin=this.wrap(this.begin+1),e}},{key:"shuffleExcise",value:function(e){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");var t=this.wrap(this.begin+e),n=this.get(t);return this.set(t,this.pop()),n}}]),e}(),cT=function(e){mo(n,e);var t=wo(n);function n(){return ft(this,n),t.call(this,n.INITIAL_CAPACITY)}return vt(n,[{key:"isFull",value:function(){return!1}},{key:"push",value:function(e){ww(go(n.prototype),"isFull",this).call(this)&&this.expand(),ww(go(n.prototype),"push",this).call(this,e)}},{key:"unshift",value:function(e){ww(go(n.prototype),"isFull",this).call(this)&&this.expand(),ww(go(n.prototype),"unshift",this).call(this,e)}},{key:"expand",value:function(){for(var e=2*this.capacity,t=new Array(e),n=this.length(),r=0;r<n;r++)t[r]=this.get(this.wrap(this.begin+r));this.data=t,this.capacity=e,this.doubledCapacity=2*this.capacity,this.begin=0,this.end=n}}]),n}(uT);function lT(e){return new vT(e)}function hT(e,t){return new TT(e,t)}cT.INITIAL_CAPACITY=32;var dT,fT=function(){function e(){ft(this,e)}return vt(e,[{key:"toArray",value:function(){var e=Fe(Pe().mark((function e(){var t,n;return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=[],e.next=3,this.next();case 3:n=e.sent;case 4:if(n.done){e.next=11;break}return t.push(n.value),e.next=8,this.next();case 8:n=e.sent,e.next=4;break;case 11:return e.abrupt("return",t);case 12:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}()},{key:"toArrayForTest",value:function(){var e=Fe(Pe().mark((function e(){var t,n,r;return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=this.prefetch(100),n=[],e.next=4,t.next();case 4:r=e.sent;case 5:if(r.done){e.next=12;break}return n.push(r.value),e.next=9,t.next();case 9:r=e.sent,e.next=5;break;case 12:return e.abrupt("return",n);case 13:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}()},{key:"resolveFully",value:function(){var e=Fe(Pe().mark((function e(){var t;return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.next();case 2:t=e.sent;case 3:if(t.done){e.next=9;break}return e.next=6,this.next();case 6:t=e.sent,e.next=3;break;case 9:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}()},{key:"resolveWhile",value:function(){var e=Fe(Pe().mark((function e(t){var n,r;return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.next();case 2:n=e.sent,r=t(n.value);case 4:if(n.done||!r){e.next=11;break}return e.next=7,this.next();case 7:n=e.sent,r=t(n.value),e.next=4;break;case 11:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}()},{key:"handleErrors",value:function(e){return new wT(this,e)}},{key:"filter",value:function(e){return new xT(this,e)}},{key:"map",value:function(e){return new kT(this,e)}},{key:"mapAsync",value:function(e){return new ST(this,e)}},{key:"serialMapAsync",value:function(e){return new ST(this,e).serial()}},{key:"flatmap",value:function(e){return new IT(this,e)}},{key:"forEachAsync",value:function(){var e=Fe(Pe().mark((function e(t){return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",this.map(t).resolveFully());case 1:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}()},{key:"serialForEach",value:function(){var e=Fe(Pe().mark((function e(t){return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",this.serialMapAsync(t).resolveWhile((function(e){return!0===e})));case 1:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}()},{key:"rowMajorBatch",value:function(e){var t=!(arguments.length>1&&void 0!==arguments[1])||arguments[1];return new bT(this,e,t)}},{key:"columnMajorBatch",value:function(e){var t=!(arguments.length>1&&void 0!==arguments[1])||arguments[1],n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:aT,r=this.rowMajorBatch(e,t);return r.map((function(e){return nT(e,n)}))}},{key:"concatenate",value:function(e,t){return new TT(new pT([this,e]),t)}},{key:"take",value:function(e){return e<0||null==e?this:new yT(this,e)}},{key:"skip",value:function(e){return e<0||null==e?this:new gT(this,e)}},{key:"prefetch",value:function(e){return new CT(this,e)}},{key:"shuffle",value:function(e,t){return new ET(this,e,t)}},{key:"serial",value:function(){return new mT(this)}}]),e}(),pT=function(e){mo(n,e);var t=wo(n);function n(e){var r;return ft(this,n),(r=t.call(this)).items=e,r.trav=0,r}return vt(n,[{key:"summary",value:function(){return"Array of ".concat(this.items.length," items")}},{key:"next",value:function(){var e=Fe(Pe().mark((function e(){var t;return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!(this.trav>=this.items.length)){e.next=2;break}return e.abrupt("return",{value:null,done:!0});case 2:return t=this.items[this.trav],this.trav++,e.abrupt("return",{value:oT(t),done:!1});case 5:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}()}]),n}(fT),vT=function(e){mo(n,e);var t=wo(n);function n(e){var r;return ft(this,n),(r=t.call(this)).nextFn=e,r}return vt(n,[{key:"summary",value:function(){return"Function call"}},{key:"next",value:function(){var e=Fe(Pe().mark((function e(){return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.prev=0,e.abrupt("return",this.nextFn());case 4:throw e.prev=4,e.t0=e.catch(0),e.t0.message="Error thrown while iterating through a dataset: ".concat(e.t0.message),e.t0;case 8:case"end":return e.stop()}}),e,this,[[0,4]])})));return function(){return e.apply(this,arguments)}}()}]),n}(fT),mT=function(e){mo(n,e);var t=wo(n);function n(e){var r;return ft(this,n),(r=t.call(this)).upstream=e,r.lastRead=Promise.resolve({value:null,done:!1}),r}return vt(n,[{key:"summary",value:function(){return"".concat(this.upstream.summary()," -> Serial")}},{key:"next",value:function(){var e=Fe(Pe().mark((function e(){var t=this;return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.lastRead=this.lastRead.then((function(){return t.serialNext()})),e.abrupt("return",this.lastRead);case 2:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}()},{key:"serialNext",value:function(){var e=Fe(Pe().mark((function e(){return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",this.upstream.next());case 1:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}()}]),n}(fT),gT=function(e){mo(n,e);var t=wo(n);function n(e,r){var a;return ft(this,n),(a=t.call(this)).upstream=e,a.maxCount=r,a.count=0,a.lastRead=Promise.resolve({value:null,done:!1}),a}return vt(n,[{key:"summary",value:function(){return"".concat(this.upstream.summary()," -> Skip")}},{key:"next",value:function(){var e=Fe(Pe().mark((function e(){var t=this;return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.lastRead=this.lastRead.then((function(){return t.serialNext()})),e.abrupt("return",this.lastRead);case 2:case"end":return e.stop()}}),e,this)})));return function(){return 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b=s?[g,f,h]:[g,h,f],x=vC({inputs:{x:a},backend:n,attrs:{shape:o?[m,l,d]:[m,d,l]}}),k=vC({inputs:{x:i},backend:n,attrs:{shape:b}}),w=o?x.shape[1]:x.shape[2],S=o?x.shape[2]:x.shape[1],N=s?k.shape[1]:k.shape[2],I=Math.max(m,g),T=n.data.get(x.dataId).values,C=n.data.get(k.dataId).values,E=rn(x.shape),_=rn(k.shape),A=G(o?[E[0],1,E[1]]:[E[0],E[1],1],3),R=A[0],D=A[1],M=A[2],O=G(s?[1,_[1],_[0]]:[_[1],1,_[0]],3),F=O[0],L=O[1],P=O[2],z=S*N,B=xu([I,S,N],x.dtype),W=B.values,V=n.blockSize,j=0;j<I;j++)for(var U=0;U<S;U+=V)for(var H=0;H<N;H+=V)for(var q=0;q<w;q+=V)for(var K=Math.min(U+V,S),X=Math.min(H+V,N),Y=Math.min(q+V,w),Q=U;Q<K;Q++)for(var J=H;J<X;J++){for(var Z=0,$=q;$<Y;$++){var ee=Math.min(j,m-1)*R,te=Math.min(j,g-1)*P;Z+=T[ee+Q*D+$*M]*C[$*F+J*L+te]}W[j*z+(Q*N+J)]+=Z}return n.disposeIntermediateTensorInfo(x),n.disposeIntermediateTensorInfo(k),n.makeTensorInfo(y,B.dtype,B.values)}var yC={kernelName:Vn,backendName:"cpu",kernelFunc:gC};var bC={kernelName:Ii,backendName:"cpu",kernelFunc:function(e){var t,n,r,a=e.inputs,i=e.backend,o=e.attrs,s=a.a,u=a.b,c=a.bias,l=a.preluActivationWeights,h=o.transposeA,d=o.transposeB,f=o.activation,p=o.leakyreluAlpha,v=[];t=gC({inputs:{a:s,b:u},attrs:{transposeA:h,transposeB:d},backend:i}),c&&(n=fC({inputs:{a:t,b:c},backend:i}),v.push(t),t=n),f&&(r=tC(i,t,f,l,p),v.push(t),t=r);for(var m=0,g=v;m<g.length;m++){var y=g[m];i.disposeIntermediateTensorInfo(y)}return t}};function xC(e){for(var t=new Float32Array(e.length),n=0;n<e.length;++n)t[n]=Math.abs(e[n]);return t}var kC={kernelName:Sn,backendName:"cpu",kernelFunc:function(e){var t=e.inputs.x,n=e.backend;DT(t,"abs");var r=new Float32Array(Rt(t.shape));return r=xC(n.data.get(t.dataId).values),n.makeOutput(r,t.shape,t.dtype)}},wC=FT(Nn,(function(e){return Math.acos(e)})),SC={kernelName:Nn,backendName:"cpu",kernelFunc:wC},NC=FT(In,(function(e){return Math.acosh(e)})),IC={kernelName:In,backendName:"cpu",kernelFunc:NC};var TC={kernelName:Cn,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t;DT(t,"addN");for(var a=r.map((function(e){return n.data.get(e.dataId).values})),i=xu(r[0].shape,r[0].dtype),o=i.values,s=0;s<r.length;s++)for(var u=a[s],c=0;c<o.length;c++)o[c]+=u[c];return n.makeTensorInfo(i.shape,i.dtype,i.values)}};function CC(e,t,n,r,a){for(var i=t.length,o=Rt(t),s=rn(t),u=rn(a),c=Ut(n,Rt(a)),l=0;l<o;++l){for(var h=dn(l,i,s),d=new Array(h.length),f=0;f<d.length;f++)d[f]=h[r[f]];c[hn(d,i,u)]=e[l]}return c}function EC(e){var t=e.inputs,n=e.attrs,r=e.backend,a=t.x,i=n.perm;DT(a,"transpose");for(var o=a.shape.length,s=new Array(o),u=0;u<s.length;u++)s[u]=a.shape[i[u]];var c=CC(r.data.get(a.dataId).values,a.shape,a.dtype,i,s);return{dataId:r.write(c,s,a.dtype),shape:s,dtype:a.dtype}}var _C={kernelName:gi,backendName:"cpu",kernelFunc:EC};var AC={kernelName:En,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.keepDims;DT(a,"all");var s=Vt(i,a.shape),u=s,c=Md(u,a.shape.length),l=a;null!=c&&(l=EC({inputs:{x:a},backend:n,attrs:{perm:c}}),u=Fd(u.length,a.shape.length)),Dd("all",u,l.shape.length);for(var h=G(Ad(l.shape,u),2),d=h[0],f=Rt(h[1]),p=un(Rt(d),l.dtype),v=n.data.get(l.dataId).values,m=0;m<p.length;++m){for(var g=m*f,y=v[g],b=0;b<f;++b){var x=v[g+b];y=y&&x}p[m]=y}null!=c&&n.disposeIntermediateTensorInfo(l);var k=n.makeTensorInfo(d,l.dtype,p);if(o){var w=vC({inputs:{x:k},backend:n,attrs:{shape:Rd(d,s)}});return n.disposeIntermediateTensorInfo(k),w}return k}};var RC={kernelName:_n,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.keepDims;DT(a,"any");var s=Vt(i,a.shape),u=s,c=Md(u,a.shape.length),l=a;null!=c&&(l=EC({inputs:{x:a},backend:n,attrs:{perm:c}}),u=Fd(u.length,a.shape.length)),Dd("any",u,l.shape.length);for(var h=G(Ad(l.shape,u),2),d=h[0],f=Rt(h[1]),p=un(Rt(d),l.dtype),v=n.data.get(l.dataId).values,m=0;m<p.length;++m){for(var g=m*f,y=v[g],b=0;b<f;++b){var x=v[g+b];y=y||x}p[m]=y}null!=c&&n.disposeIntermediateTensorInfo(l);var k=n.makeTensorInfo(d,l.dtype,p);if(o){var w=vC({inputs:{x:k},backend:n,attrs:{shape:Rd(d,s)}});return n.disposeIntermediateTensorInfo(k),w}return k}};var DC={kernelName:An,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis;DT(a,"argMax");var o=Vt(i,a.shape),s=Md(o,a.shape.length),u=a,c=[];null!=s&&(u=EC({inputs:{x:a},backend:n,attrs:{perm:s}}),c.push(u),o=Fd(o.length,u.shape.length)),Dd("argMax",o=[o[0]],u.shape.length);for(var l=G(Ad(u.shape,o),2),h=l[0],d=l[1],f=un(Rt(h),"int32"),p=Rt(d),v=n.data.get(u.dataId).values,m=0;m<f.length;++m){for(var g=m*p,y=v[g],b=0,x=0;x<p;++x){var k=v[g+x];k>y&&(y=k,b=x)}f[m]=b}return c.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),n.makeTensorInfo(h,"int32",f)}};var MC={kernelName:Rn,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis;DT(a,"argMin");var o=Vt(i,a.shape),s=Md(o,a.shape.length),u=a,c=[];null!=s&&(u=EC({inputs:{x:a},backend:n,attrs:{perm:s}}),c.push(u),o=Fd(o.length,u.shape.length)),Dd("argMin",o=[o[0]],u.shape.length);for(var l=G(Ad(u.shape,o),2),h=l[0],d=l[1],f=un(Rt(h),"int32"),p=Rt(d),v=n.data.get(u.dataId).values,m=0;m<f.length;++m){for(var g=m*p,y=v[g],b=0,x=0;x<p;++x){var k=v[g+x];k<y&&(y=k,b=x)}f[m]=b}return c.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),n.makeTensorInfo(h,"int32",f)}},OC=FT(Dn,(function(e){return Math.asin(e)})),FC={kernelName:Dn,backendName:"cpu",kernelFunc:OC},LC=FT(Mn,(function(e){return Math.asinh(e)})),PC={kernelName:Mn,backendName:"cpu",kernelFunc:LC},zC=FT(On,(function(e){return Math.atan(e)})),BC={kernelName:On,backendName:"cpu",kernelFunc:zC},WC=UT((function(e,t){return Math.atan2(e,t)})),VC=cC(Ln,WC),jC={kernelName:Ln,backendName:"cpu",kernelFunc:VC},UC=FT(Fn,(function(e){return Math.atanh(e)})),HC={kernelName:Fn,backendName:"cpu",kernelFunc:UC};function GC(e,t,n,r,a,i){for(var o=a.strideHeight,s=a.strideWidth,u=a.dilationHeight,c=a.dilationWidth,l=a.effectiveFilterHeight,h=a.effectiveFilterWidth,d=a.padInfo.top,f=a.padInfo.left,p="max"===i?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,v=xu(a.outShape,n),m=v.values,g=a.outShape[1]*a.outShape[2]*a.outShape[3],y=a.outShape[2]*a.outShape[3],b=a.outShape[3],x=0;x<a.batchSize;++x)for(var k=x*g,w=x*r[0],S=0;S<a.inChannels;++S)for(var N=0;N<a.outHeight;++N)for(var I=N*o-d,T=Math.max(0,I),C=Math.min(a.inHeight,l+I),E=k+N*y,_=0;_<a.outWidth;++_){for(var A=_*s-f,R=Math.max(0,A),D=Math.min(a.inWidth,h+A),M=p,O=0,F=0,L=T;L<C;L+=u){for(var P=w+L*r[1],z=R;z<D;z+=c){var B=e[P+z*r[2]+S];"max"===i&&B>M?M=B:"avg"===i&&(O+=B,F++)}if(isNaN(M))break}m[E+_*b+S]="avg"===i?O/F:M}return v}function qC(e,t,n,r){for(var a=arguments.length>4&&void 0!==arguments[4]&&arguments[4],i=arguments.length>5&&void 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o=a.strideDepth,s=a.strideHeight,u=a.strideWidth,c=a.dilationDepth,l=a.dilationHeight,h=a.dilationWidth,d=a.effectiveFilterDepth,f=a.effectiveFilterHeight,p=a.effectiveFilterWidth,v=a.padInfo.front,m=a.padInfo.top,g=a.padInfo.left,y="max"===i?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,b=xu(a.outShape,n),x=b.values,k=a.outShape[1]*a.outShape[2]*a.outShape[3]*a.outShape[4],w=a.outShape[2]*a.outShape[3]*a.outShape[4],S=a.outShape[3]*a.outShape[4],N=a.outShape[4],I=0;I<a.batchSize;++I)for(var T=I*k,C=I*r[0],E=0;E<a.inChannels;++E)for(var _=0;_<a.outDepth;++_){for(var A=_*o-v,R=A;R<0;)R+=c;for(var D=Math.min(a.inDepth,d+A),M=T+_*w,O=0;O<a.outHeight;++O){for(var F=O*s-m,L=F;L<0;)L+=l;for(var P=Math.min(a.inHeight,f+F),z=M+O*S,B=0;B<a.outWidth;++B){for(var W=B*u-g,V=W;V<0;)V+=h;for(var j=Math.min(a.inWidth,p+W),U=z+B*N,H=y,G=0,q=0,K=R;K<D;K+=c){for(var X=C+K*r[1],Y=L;Y<P;Y+=l){for(var Q=X+Y*r[2],J=V;J<j;J+=h){var 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l=Zl(i.shape,o,s,1,u,c),h=l.strideDepth,d=l.strideHeight,f=l.strideWidth,p=l.filterDepth,v=l.filterHeight,m=l.filterWidth,g=l.dilationDepth,y=l.dilationHeight,b=l.dilationWidth,x=l.effectiveFilterDepth,k=l.effectiveFilterHeight,w=l.effectiveFilterWidth,S=x-1-l.padInfo.front,N=w-1-l.padInfo.left,I=k-1-l.padInfo.top,T=xu(i.shape,"float32"),C=1/(p*v*m),E=n.bufferSync(a),_=0;_<l.batchSize;++_)for(var A=0;A<l.inChannels;++A)for(var R=0;R<l.inDepth;++R)for(var D=0;D<l.inHeight;++D)for(var M=0;M<l.inWidth;++M){for(var O=R-S,F=D-I,L=M-N,P=0,z=0;z<x;z+=g){var B=(O+z)/h;if(!(B<0||B>=l.outDepth||Math.floor(B)!==B))for(var W=0;W<k;W+=y){var V=(F+W)/d;if(!(V<0||V>=l.outHeight||Math.floor(V)!==V))for(var j=0;j<w;j+=b){var U=(L+j)/f;if(!(U<0||U>=l.outWidth||Math.floor(U)!==U))P+=E.get(_,B,V,U,A)}}}T.set(P*C,_,R,D,M,A)}return n.makeTensorInfo(T.shape,T.dtype,T.values)}};var JC={kernelName:zn,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.input,o=i;DT([a,i],"avgPoolGrad");for(var s=r.filterSize,u=r.strides,c=r.pad,l=Jl(o.shape,s,u,1,c),h=l.strideHeight,d=l.strideWidth,f=l.filterHeight,p=l.filterWidth,v=l.dilationHeight,m=l.dilationWidth,g=l.effectiveFilterHeight,y=l.effectiveFilterWidth,b=y-1-l.padInfo.left,x=g-1-l.padInfo.top,k=xu(o.shape,"float32"),w=1/(f*p),S=n.data.get(a.dataId).values,N=xu(a.shape,"float32",S),I=0;I<l.batchSize;++I)for(var T=0;T<l.inChannels;++T)for(var C=0;C<l.inHeight;++C)for(var E=0;E<l.inWidth;++E){for(var _=C-x,A=E-b,R=0,D=0;D<g;D+=v){var M=(_+D)/h;if(!(M<0||M>=l.outHeight||Math.floor(M)!==M))for(var O=0;O<y;O+=m){var F=(A+O)/d;if(!(F<0||F>=l.outWidth||Math.floor(F)!==F))R+=N.get(I,M,F,T)}}k.set(R*w,I,C,E,T)}return n.makeTensorInfo(k.shape,k.dtype,k.values)}};var ZC={kernelName:Rr,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.scale,o=t.offset,s=t.mean,u=t.variance;Ct(s.shape.length===u.shape.length,(function(){return"Batch normalization gradient requires mean and variance to have equal ranks."})),Ct(null==o||s.shape.length===o.shape.length,(function(){return"Batch normalization gradient requires mean and offset to have equal ranks."})),Ct(null==i||s.shape.length===i.shape.length,(function(){return"Batch normalization gradient requires mean and scale to have equal ranks."})),DT([a,s,u,i,o],"batchNorm");var c=r.varianceEpsilon;null==c&&(c=.001);for(var l=n.data.get(a.dataId).values,h=n.data.get(s.dataId).values,d=n.data.get(u.dataId).values,f=i?n.data.get(i.dataId).values:new Float32Array([1]),p=o?n.data.get(o.dataId).values:new Float32Array([0]),v=new Float32Array(l.length),m=p.length,g=f.length,y=d.length,b=h.length,x=0,k=0,w=0,S=0,N=0;N<l.length;++N)v[N]=p[x++]+(l[N]-h[k++])*f[w++]/Math.sqrt(d[S++]+c),x>=m&&(x=0),k>=b&&(k=0),w>=g&&(w=0),S>=y&&(S=0);return n.makeTensorInfo(a.shape,a.dtype,v)}};function $C(e,t,n,r,a){var i=wc(r,t,n),o=Rt(n),s=rn(r);if(i){var u=Sc(t,s);return"string"===a?e.slice(u,u+o):e.subarray(u,u+o)}for(var c=xu(r,a,"string"===a?Jm(e):e),l=xu(n,a),h=0;h<l.size;++h){var d=l.indexToLoc(h),f=d.map((function(e,n){return e+t[n]}));l.set.apply(l,[c.get.apply(c,dt(f))].concat(dt(d)))}return"string"===a?Zm(l.values):l.values}function eE(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.begin,o=r.size;DT(a,"slice");var s=G(Nc(a,i,o),2),u=s[0],c=s[1];lc(a,u,c);var l=$C(n.data.get(a.dataId).values,u,c,a.shape,a.dtype);return n.makeTensorInfo(c,a.dtype,l)}var tE={kernelName:Ua,backendName:"cpu",kernelFunc:eE};var nE={kernelName:jn,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.blockShape,o=r.crops;DT([a],"batchToSpaceND");var s=i.reduce((function(e,t){return e*t})),u=am(a.shape,i,s),c=im(u.length,i.length),l=om(a.shape,i,s),h=sm(o,i.length),d=um(l,o,i.length),f=vC({inputs:{x:a},backend:n,attrs:{shape:u}}),p=EC({inputs:{x:f},backend:n,attrs:{perm:c}}),v=vC({inputs:{x:p},backend:n,attrs:{shape:l}}),m=eE({inputs:{x:v},backend:n,attrs:{begin:h,size:d}});return n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(v),m}};function rE(e,t,n,r,a){for(var i=Rt(r),o=un(a,n),s=0;s<e.length;s++){var u=e[s];if(u<0)throw new Error("Input x must be non-negative!");u>=a||(o[u]+=i>0?t[s]:1)}return o}function aE(e,t,n){for(var r=arguments.length>3&&void 0!==arguments[3]&&arguments[3],a=e.shape[0],i=e.shape[1],o=xu([a,n],t.dtype),s=0;s<a;s++)for(var u=0;u<i;u++){var c=e.get(s,u);if(c<0)throw new Error("Input x must be non-negative!");c>=n||(r?o.set(1,s,c):t.size>0?o.set(o.get(s,c)+t.get(s,u),s,c):o.set(o.get(s,c)+1,s,c))}return o}var iE={kernelName:Un,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.weights,o=r.size,s=rE(n.data.get(a.dataId).values,n.data.get(i.dataId).values,i.dtype,i.shape,o);return n.makeTensorInfo([o],i.dtype,s)}};var oE={kernelName:Gn,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.s0,a=t.s1,i=n.data.get(r.dataId).values,o=n.data.get(a.dataId).values,s=Ju(Array.from(i),Array.from(o));return n.makeTensorInfo([s.length],"int32",Int32Array.from(s))}},sE=JT((function(e){return Math.ceil(e)})),uE=LT(Kn,sE),cE={kernelName:Kn,backendName:"cpu",kernelFunc:uE},lE=FT(Xn,(function(e,t){var n=t;return e>n.clipValueMax?n.clipValueMax:e<n.clipValueMin?n.clipValueMin:e})),hE={kernelName:Xn,backendName:"cpu",kernelFunc:lE},dE={kernelName:Qn,backendName:"cpu",kernelFunc:function(e){for(var t=e.inputs.x,n=e.backend,r=new Float32Array(Rt(t.shape)),a=n.data.get(t.dataId),i=a.complexTensorInfos.real,o=a.complexTensorInfos.imag,s=n.data.get(i.dataId).values,u=n.data.get(o.dataId).values,c=0;c<s.length;c++){var 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Eo(h.filterShape,"float32"),b=y.values,x=G(y.strides,4),k=x[0],w=x[1],S=x[2],N=x[3],I=n.data.get(i.dataId).values,T=G(l,4),C=T[0],E=T[1],_=T[2],A=T[3],R=n.data.get(a.dataId).values,D=G(c,4),M=D[0],O=D[1],F=D[2],L=D[3],P=h.padInfo.front,z=h.padInfo.left,B=h.padInfo.top,W=0;W<v;++W)for(var V=Math.max(0,Math.ceil((P-W)/d)),j=Math.min(h.outDepth,(h.inDepth+P-W)/d),U=W*k,H=0;H<m;++H)for(var q=Math.max(0,Math.ceil((B-H)/f)),K=Math.min(h.outHeight,(h.inHeight+B-H)/f),X=H*w+U,Y=0;Y<g;++Y)for(var Q=Math.max(0,Math.ceil((z-Y)/p)),J=Math.min(h.outWidth,(h.inWidth+z-Y)/p),Z=Y*S+X,$=0;$<h.inChannels;++$)for(var ee=$*N+Z,te=0;te<h.outChannels;++te){for(var ne=0,re=0;re<h.batchSize;++re)for(var ae=re*M,ie=re*C,oe=V;oe<j;++oe)for(var se=(W+oe*d-P)*O+ae,ue=oe*E+ie,ce=q;ce<K;++ce)for(var le=(H+ce*f-B)*F+se,he=ce*_+ue,de=Q;de<J;++de){var fe=de*A+he;ne+=R[(Y+de*p-z)*L+le+$]*I[fe+te]}b[ee+te]=ne}return n.makeTensorInfo(y.shape,y.dtype,y.values)}};var NE={kernelName:rr,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.filter,o=r.pad,s=r.strides,u=r.inputShape;DT([a],"conv3dBackpropInputV2");for(var c=rn(a.shape),l=rn(i.shape),h=eh(u,i.shape,s,1,o),d=new Eo(h.inShape,"float32"),f=d.values,p=G(d.strides,4),v=p[0],m=p[1],g=p[2],y=p[3],b=n.data.get(a.dataId).values,x=G(c,4),k=x[0],w=x[1],S=x[2],N=x[3],I=n.data.get(i.dataId).values,T=G(l,4),C=T[0],E=T[1],_=T[2],A=T[3],R=h.batchSize,D=h.filterDepth,M=h.filterHeight,O=h.filterWidth,F=h.inChannels,L=h.inDepth,P=h.inHeight,z=h.inWidth,B=h.outChannels,W=h.outDepth,V=h.outHeight,j=h.outWidth,U=h.strideDepth,H=h.strideHeight,q=h.strideWidth,K=D-1-h.padInfo.front,X=M-1-h.padInfo.top,Y=O-1-h.padInfo.left,Q=0;Q<R;++Q)for(var J=0;J<F;++J)for(var Z=0;Z<L;++Z)for(var $=Z-K,ee=Math.max(0,Math.ceil($/U)),te=Math.min(W,(D+$)/U),ne=0;ne<P;++ne)for(var re=ne-X,ae=Math.max(0,Math.ceil(re/H)),ie=Math.min(V,(M+re)/H),oe=0;oe<z;++oe){for(var se=oe-Y,ue=Math.max(0,Math.ceil(se/q)),ce=Math.min(j,(O+se)/q),le=0,he=ee;he<te;++he)for(var de=he*U-$,fe=ae;fe<ie;++fe)for(var pe=fe*H-re,ve=ue;ve<ce;++ve)for(var me=k*Q+w*he+S*fe+N*ve,ge=C*(D-1-de)+E*(M-1-pe)+_*(O-1-(ve*q-se))+A*J,ye=0;ye<B;++ye){le+=b[me+ye]*I[ge+ye]}f[v*Q+m*Z+g*ne+y*oe+J]=le}return n.makeTensorInfo(d.shape,d.dtype,d.values)}},IE=FT(ar,(function(e){return Math.cos(e)})),TE={kernelName:ar,backendName:"cpu",kernelFunc:IE},CE=FT(ir,(function(e){return Math.cosh(e)})),EE={kernelName:ir,backendName:"cpu",kernelFunc:CE};var _E={kernelName:sr,backendName:"cpu",kernelFunc:function(e){for(var t=e.inputs,n=e.backend,r=e.attrs,a=t.image,i=t.boxes,o=t.boxInd,s=r.cropSize,u=r.method,c=r.extrapolationValue,l=G(a.shape,4),h=l[0],d=l[1],f=l[2],p=l[3],v=i.shape[0],m=G(s,2),g=m[0],y=m[1],b=xu([v,g,y,p],"float32"),x=n.data.get(i.dataId).values,k=n.data.get(o.dataId).values,w=n.data.get(a.dataId).values,S=rn(a.shape),N=rn(b.shape),I=0;I<v;I++){var T=4*I,C=x[T],E=x[T+1],_=x[T+2],A=x[T+3],R=k[I];if(!(R>=h))for(var D=g>1?(_-C)*(d-1)/(g-1):0,M=y>1?(A-E)*(f-1)/(y-1):0,O=0;O<g;O++){var F=g>1?C*(d-1)+O*D:.5*(C+_)*(d-1);if(F<0||F>d-1)for(var L=0;L<y;L++)for(var P=0;P<p;P++){var z=P+L*N[2]+O*N[1]+I*N[0];b.values[z]=c}else if("bilinear"===u)for(var B=Math.floor(F),W=Math.ceil(F),V=F-B,j=0;j<y;j++){var U=y>1?E*(f-1)+j*M:.5*(E+A)*(f-1);if(U<0||U>f-1)for(var H=0;H<p;H++){var q=H+j*N[2]+O*N[1]+I*N[0];b.values[q]=c}else for(var K=Math.floor(U),X=Math.ceil(U),Y=U-K,Q=0;Q<p;Q++){var J=Q+K*S[2]+B*S[1]+R*S[0],Z=w[J],$=w[J=Q+X*S[2]+B*S[1]+R*S[0]],ee=w[J=Q+K*S[2]+W*S[1]+R*S[0]],te=Z+($-Z)*Y,ne=ee+(w[J=Q+X*S[2]+W*S[1]+R*S[0]]-ee)*Y;J=Q+j*N[2]+O*N[1]+I*N[0],b.values[J]=te+(ne-te)*V}}else for(var re=0;re<y;++re){var ae=y>1?E*(f-1)+re*M:.5*(E+A)*(f-1);if(ae<0||ae>f-1)for(var ie=0;ie<p;ie++){var oe=ie+re*N[2]+O*N[1]+I*N[0];b.values[oe]=c}else for(var se=Math.round(ae),ue=Math.round(F),ce=0;ce<p;ce++){var le=ce+se*S[2]+ue*S[1]+R*S[0],he=ce+re*N[2]+O*N[1]+I*N[0];b.values[he]=w[le]}}}}return n.makeTensorInfo(b.shape,b.dtype,b.values)}};var AE={kernelName:or,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.exclusive,s=r.reverse;DT(a,"cumsum");var u=Md([i],a.shape.length),c=a;null!=u&&(c=EC({inputs:{x:a},backend:n,attrs:{perm:u}}));var l=Fd(1,a.shape.length)[0];if(l!==c.shape.length-1)throw new Error("backend.cumsum in CPU expects an inner-most "+"axis=".concat(c.shape.length-1," but got axis=").concat(l));for(var h=Wo(c.dtype,"int32"),d=un(Rt(c.shape),h),f=n.data.get(c.dataId).values,p=c.shape[c.shape.length-1],v=s?function(e,t){return e+p-t-1}:function(e,t){return e+t},m=0;m<f.length;m+=p)for(var g=0;g<p;g++){var y=v(m,g);if(0===g)d[y]=o?0:f[y];else{var b=v(m,g-1);d[y]=o?f[b]+d[b]:f[y]+d[b]}}var x=n.makeTensorInfo(c.shape,h,d);if(null!=u){var k=EC({inputs:{x:x},backend:n,attrs:{perm:Od(u)}});return n.disposeIntermediateTensorInfo(x),n.disposeIntermediateTensorInfo(c),k}return x}};var RE={kernelName:ur,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.weights,o=r.size,s=r.binaryOutput;if(1===a.shape.length){var u=rE(n.data.get(a.dataId).values,n.data.get(i.dataId).values,i.dtype,i.shape,o);return n.makeTensorInfo([o],i.dtype,u)}if(2===a.shape.length){var c=aE(n.bufferSync(a),n.bufferSync(i),o,s);return n.makeTensorInfo(c.shape,i.dtype,c.values)}throw new Error("Error in denseBincount: input must be at most rank 2, but got rank"+"".concat(a.shape.length,"."))}};var DE={kernelName:cr,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.blockSize,o=r.dataFormat;Ct("NHWC"===o,(function(){return"Only NHWC dataFormat supported on CPU for depthToSpace. Got ".concat(o)}));for(var s=a.shape[0],u=a.shape[1],c=a.shape[2],l=a.shape[3],h=u*i,d=c*i,f=l/(i*i),p=n.data.get(a.dataId).values,v=new Float32Array(s*h*d*f),m=0,g=0;g<s;++g)for(var y=0;y<h;++y)for(var b=Math.floor(y/i),x=y%i,k=0;k<d;++k)for(var w=Math.floor(k/i),S=(x*i+k%i)*f,N=0;N<f;++N){var I=N+S+l*(w+c*(b+u*g));v[m++]=p[I]}return n.makeTensorInfo([s,h,d,f],a.dtype,v)}};function ME(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.filter,o=r.strides,s=r.pad,u=r.dilations,c=r.dimRoundingMode;DT([a,i],"depthwiseConv2DNative");var l=rn(a.shape),h=rn(i.shape),d=u;null==d&&(d=[1,1]),Ct(ch(o,d),(function(){return"Error in depthwiseConv2d: Either strides or dilations must be "+"1. Got strides ".concat(o," and dilations '").concat(d,"'")}));for(var f=$l(a.shape,i.shape,o,d,s,c,!0),p=f.filterHeight,v=f.filterWidth,m=f.dilationHeight,g=f.dilationWidth,y=f.padInfo,b=y.left,x=y.top,k=f.outChannels/f.inChannels,w=new Eo(f.outShape,a.dtype),S=n.data.get(a.dataId).values,N=n.data.get(i.dataId).values,I=w.values,T=0;T<f.batchSize;++T)for(var C=T*l[0],E=T*w.strides[0],_=0;_<f.outHeight;++_)for(var A=E+_*w.strides[1],R=_*f.strideHeight-x,D=0;D<p;++D){var M=R+D*m;if(!(M<0||M>=f.inHeight))for(var O=D*h[0],F=C+M*l[1],L=0;L<f.outWidth;++L)for(var P=A+L*w.strides[2],z=L*f.strideWidth-b,B=0;B<v;++B){var W=z+B*g;if(!(W<0||W>=f.inWidth))for(var V=O+B*h[1],j=F+W*f.inChannels,U=P,H=V,G=0;G<f.inChannels;++G){for(var q=S[j+G],K=0;K<k;++K)I[U+K]+=q*N[H+K];U+=k,H+=k}}}return n.makeTensorInfo(w.shape,w.dtype,w.values)}var OE={kernelName:lr,backendName:"cpu",kernelFunc:ME};var FE={kernelName:hr,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.dy,o=r.strides,s=r.dilations,u=r.pad,c=r.dimRoundingMode,l=r.filterShape;DT([a,i],"depthwiseConv2dNativeBackpropFilter");for(var h=$l(a.shape,l,o,s,u,c,!0),d=h.strideHeight,f=h.strideWidth,p=h.filterHeight,v=h.filterWidth,m=new Eo(h.filterShape,"float32"),g=h.padInfo.left,y=h.padInfo.top,b=h.outChannels/h.inChannels,x=n.data.get(a.dataId).values,k=new Eo(a.shape,a.dtype,x),w=n.data.get(i.dataId).values,S=new Eo(i.shape,i.dtype,w),N=0;N<p;++N)for(var I=Math.max(0,Math.ceil((y-N)/d)),T=Math.min(h.outHeight,(h.inHeight+y-N)/d),C=0;C<v;++C)for(var E=Math.max(0,Math.ceil((g-C)/f)),_=Math.min(h.outWidth,(h.inWidth+g-C)/f),A=0;A<h.outChannels;++A){for(var R=Math.trunc(A/b),D=A%b,M=0,O=0;O<h.batchSize;++O)for(var F=I;F<T;++F)for(var L=N+F*d-y,P=E;P<_;++P){var z=C+P*f-g;M+=k.get(O,L,z,R)*S.get(O,F,P,A)}m.set(M,N,C,R,D)}return n.makeTensorInfo(m.shape,m.dtype,m.values)}};var LE={kernelName:dr,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.filter,o=r.strides,s=r.dilations,u=r.pad,c=r.dimRoundingMode,l=r.inputShape;DT([a,i],"depthwiseConv2DNativeBackpropInput");for(var h=rn(a.shape),d=rn(i.shape),f=$l(l,i.shape,o,s,u,c,!0),p=new Eo(f.inShape,"float32"),v=p.values,m=G(p.strides,3),g=m[0],y=m[1],b=m[2],x=n.data.get(a.dataId).values,k=G(h,3),w=k[0],S=k[1],N=k[2],I=n.data.get(i.dataId).values,T=G(d,3),C=T[0],E=T[1],_=T[2],A=f.batchSize,R=f.filterHeight,D=f.filterWidth,M=f.inChannels,O=f.inHeight,F=f.inWidth,L=f.outChannels,P=f.outHeight,z=f.outWidth,B=f.strideHeight,W=f.strideWidth,V=R-1-f.padInfo.top,j=D-1-f.padInfo.left,U=L/M,H=0;H<A;++H)for(var q=0;q<M;++q)for(var K=0;K<O;++K)for(var X=K-V,Y=Math.max(0,Math.ceil(X/B)),Q=Math.min(P,(R+X)/B),J=0;J<F;++J){for(var Z=J-j,$=Math.max(0,Math.ceil(Z/W)),ee=Math.min(z,(D+Z)/W),te=0,ne=Y;ne<Q;++ne)for(var re=ne*B-X,ae=$;ae<ee;++ae)for(var ie=w*H+S*ne+N*ae,oe=C*(R-1-re)+E*(D-1-(ae*W-Z))+_*q,se=0;se<U;++se){te+=x[ie+(q*U+se)]*I[oe+se]}v[g*H+y*K+b*J+q]=te}return n.makeTensorInfo(p.shape,p.dtype,p.values)}};var PE={kernelName:fr,backendName:"cpu",kernelFunc:function(e){for(var t=e.inputs,n=e.backend,r=t.x,a=Rt(r.shape),i=n.data.get(r.dataId).values,o=xu([a,a],r.dtype),s=o.values,u=0;u<i.length;u++)s[u*a+u]=i[u];var c=[].concat(dt(r.shape),dt(r.shape));return n.makeTensorInfo(c,o.dtype,o.values)}},zE={kernelName:pr,backendName:"cpu",kernelFunc:function(e){for(var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.filter,o=r.strides,s=r.pad,u=r.dilations,c=n,l=c.data.get(a.dataId).values,h=a.shape.length,d=c.data.get(i.dataId).values,f=i.shape.length,p=Ql(a.shape,i.shape,o,s,"NHWC",u),v=p.batchSize,m=p.inHeight,g=p.inWidth,y=p.inChannels,b=p.outHeight,x=p.outWidth,k=p.padInfo,w=p.strideHeight,S=p.strideWidth,N=p.filterHeight,I=p.filterWidth,T=p.dilationHeight,C=p.dilationWidth,E=p.outShape,_=Rt(E),A=E.length,R=Ht(a.dtype,_),D=0;D<v;++D)for(var M=0;M<b;++M)for(var O=M*w-k.top,F=0;F<x;++F)for(var L=F*S-k.left,P=0;P<y;++P){for(var z=Number.MIN_SAFE_INTEGER,B=0;B<N;++B){var W=O+B*T;if(W>=0&&W<m)for(var V=0;V<I;++V){var j=L+V*C;if(j>=0&&j<g){var U=hn([D,W,j,P],h,rn(a.shape)),H=hn([B,V,P],f,rn(i.shape)),G=l[U]+d[H];G>z&&(z=G)}}}R[hn([D,M,F,P],A,rn(E))]=z}return{dataId:c.write(io(R,a.dtype),E,a.dtype),shape:E,dtype:a.dtype}}},BE={kernelName:mr,backendName:"cpu",kernelFunc:function(e){var 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u=s?a:jA({inputs:{logits:a},backend:n,attrs:{dim:-1}}),c=u.shape[0],l=u.shape[1],h=n.data.get(u.dataId).values,d=[c,i],f=un(Rt(d),"int32"),p=0;p<c;++p){var v=p*l,m=new Float32Array(l-1);m[0]=h[v];for(var g=1;g<m.length;++g)m[g]=m[g-1]+h[v+g];for(var y=vf.alea(o.toString()),b=p*i,x=0;x<i;++x){var k=y();f[b+x]=m.length;for(var w=0;w<m.length;w++)if(k<m[w]){f[b+x]=w;break}}}return s||n.disposeIntermediateTensorInfo(u),n.makeTensorInfo(d,"int32",f)}};function GA(e,t,n){var r=ao(-1,n);return VE([],t,r,e,n)}var qA={kernelName:pa,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.x;DT(r,"neg");var a=G(GA(n.data.get(r.dataId).values,r.shape,r.dtype),2),i=a[0],o=a[1];return n.makeTensorInfo(o,r.dtype,i)}},KA=$p;var XA={kernelName:ma,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.boxes,i=t.scores,o=r.maxOutputSize,s=r.iouThreshold,u=r.scoreThreshold;DT(a,"NonMaxSuppression");var c=n.data.get(a.dataId).values,l=n.data.get(i.dataId).values,h=KA(c,l,o,s,u).selectedIndices;return n.makeTensorInfo([h.length],"int32",new Int32Array(h))}},YA=ev;var QA={kernelName:ga,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.boxes,i=t.scores,o=r.maxOutputSize,s=r.iouThreshold,u=r.scoreThreshold,c=r.padToMaxOutputSize;DT(a,"NonMaxSuppressionPadded");var l=n.data.get(a.dataId).values,h=n.data.get(i.dataId).values,d=YA(l,h,o,s,u,c),f=d.selectedIndices,p=d.validOutputs;return[n.makeTensorInfo([f.length],"int32",new Int32Array(f)),n.makeTensorInfo([],"int32",new Int32Array([p]))]}},JA=tv;var ZA={kernelName:ya,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.boxes,i=t.scores,o=r.maxOutputSize,s=r.iouThreshold,u=r.scoreThreshold,c=r.softNmsSigma;DT(a,"NonMaxSuppressionWithScore");var l=n.data.get(a.dataId).values,h=n.data.get(i.dataId).values,d=JA(l,h,o,s,u,c),f=d.selectedIndices,p=d.selectedScores;return[n.makeTensorInfo([f.length],"int32",new Int32Array(f)),n.makeTensorInfo([p.length],"float32",new Float32Array(p))]}},$A=UT((function(e,t){return e!==t?1:0})),eR=cC(va,$A,null,"bool"),tR={kernelName:va,backendName:"cpu",kernelFunc:eR};var nR={kernelName:xa,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.indices,i=r.depth,o=r.onValue,s=r.offValue;DT(a,"oneHot");var u=Rt(a.shape),c=new Float32Array(u*i);c.fill(s);for(var l=n.data.get(a.dataId).values,h=0;h<u;++h)l[h]>=0&&l[h]<i&&(c[h*i+l[h]]=o);return n.makeTensorInfo([].concat(dt(a.shape),[i]),"int32",c)}};function rR(e){var t=e.inputs,n=e.backend,r=t.x;if("string"===r.dtype)throw new Error("zerosLike is not supported for string tensors");if("complex64"===r.dtype){var a=iC({inputs:{input:r},backend:n}),i=rR({inputs:{x:a},backend:n}),o=pE({inputs:{input:r},backend:n}),s=rR({inputs:{x:o},backend:n}),u=nC({inputs:{real:i,imag:s},backend:n});return n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(s),u}return I_({backend:n,attrs:{shape:r.shape,value:0,dtype:r.dtype}})}var aR={kernelName:ki,backendName:"cpu",kernelFunc:rR};var iR={kernelName:ba,backendName:"cpu",kernelFunc:function e(t){var n=t.inputs,r=t.backend,a=n.x;if("string"===a.dtype)throw new Error("onesLike is not supported for string tensors");if("complex64"===a.dtype){var i=iC({inputs:{input:a},backend:r}),o=e({inputs:{x:i},backend:r}),s=pE({inputs:{input:a},backend:r}),u=rR({inputs:{x:s},backend:r}),c=nC({inputs:{real:o,imag:u},backend:r});return r.disposeIntermediateTensorInfo(i),r.disposeIntermediateTensorInfo(o),r.disposeIntermediateTensorInfo(s),r.disposeIntermediateTensorInfo(u),c}return 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l=uR.kernelFunc({inputs:{x:a},backend:n,attrs:{paddings:u,constantValue:0}}),h=am(l.shape,i,s,!1),d=im(h.length,i.length,!1),f=om(l.shape,i,s,!1),p=vC({inputs:{x:l},backend:n,attrs:{shape:h}}),v=EC({inputs:{x:p},backend:n,attrs:{perm:d}}),m=vC({inputs:{x:v},backend:n,attrs:{shape:f}});return n.disposeIntermediateTensorInfo(l),n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(v),m}};function qR(e,t,n,r,a,i,o){var s=t[0],u=i[0],c=new Array(u),l=new Array(s),h=t[1];if(0===u){if(0!==s)throw new Error(Lm(s));return[Ht(n,0),[0,h],Ht(a,0),c,l]}for(var d=!0,f=0,p=new Array(u).fill(0),v=0;v<s;++v){var m=e[v*h];if(m<0)throw new Error(Pm(v,m));if(m>=u)throw new Error(zm(v,m,u));++p[m],d=d&&m>=f,f=m}for(var g=!0,y=0;y<u;++y){var b=0===p[y];c[y]=b,g=g&&!b,p[y]=Math.max(p[y],1),y>0&&(p[y]+=p[y-1])}if(g&&d){for(var x=e,k=r,w=0;w<s;++w)l[w]=w;return[x,[s,h],k,c,l]}for(var S=p[u-1],N=Ht(n,S*h),I=Ht(a,S),T=new Array(u).fill(0),C=0;C<s;++C){var E=e[C*h],_=T[E],A=(0===E?0:p[E-1])+_;T[E]++;for(var R=0;R<h;++R)N[A*h+R]=e[C*h+R];I[A]=r[C],l[C]=A}for(var D=0;D<u;++D){if(0===T[D]){var M=0===D?0:p[D-1];N[M*h+0]=D;for(var O=1;O<h;++O)N[M*h+O]=0;I[M]=o}}return[N,[S,h],I,c,l]}var KR={kernelName:ei,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.indices,a=t.values,i=t.denseShape,o=t.defaultValue;if(1!==i.shape.length)throw new Error("Dense shape must be a vector, saw:\n        ".concat(i.shape));if(2!==r.shape.length)throw new Error("Indices must be a matrix, saw:\n        ".concat(r.shape));if(1!==a.shape.length)throw new Error("Values must be a vector, saw:\n        ".concat(a.shape));if(0!==o.shape.length)throw new Error("Default value must be a scalar, saw:\n        ".concat(o.shape));var s=n.data.get(r.dataId).values,u=n.data.get(a.dataId).values,c=n.data.get(i.dataId).values,l=n.data.get(o.dataId).values[0],h=G(qR(s,r.shape,r.dtype,u,a.dtype,c,l),5),d=h[0],f=h[1],p=h[2],v=h[3],m=h[4];return[n.makeTensorInfo(f,r.dtype,d),n.makeTensorInfo([f[0]],a.dtype,p),n.makeTensorInfo([v.length],"bool",new Uint8Array(v.map((function(e){return Number(e)})))),n.makeTensorInfo([m.length],r.dtype,new Int32Array(m))]}};function XR(e,t,n,r,a){for(var i=Rt(r),o=t[0],s=a.length,u=[],c=1,l=-1,h=0;h<s;++h){var d=a[h];if(-1===d){if(-1!==l)throw new Error(Bm(l,h));l=h,u.push(1)}else{if(d<0)throw new Error(Wm(h,d));c*=d,u.push(d)}}if(-1!==l){if(c<=0)throw new Error("reshape cannot infer the missing input size for an empty tensor unless all specified input sizes are non-zero");var f=Math.trunc(i/c);if(c*f!==i)throw new Error(jm(r,u));u[l]=f}if(Rt(u)!==i)throw new Error(Um(r,u));var p=r.length,v=[];if(p>0){v[p-1]=1;for(var m=p-2;m>=0;--m)v[m]=v[m+1]*r[m+1]}var g=[];if(s>0){g[s-1]=1;for(var 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s=t[o]>=i;if(!(s=s&&t[o]<=r))throw new Error("Invalid split value ".concat(t[o],", must be in [").concat(i,", ").concat(r,"]"));i=t[o]}if(i!==r)throw new Error("Last split value must be data size. 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t=e.inputs,n=e.backend,r=e.attrs,a=r.separator,i=r.nGramWidths,o=r.leftPad,s=r.rightPad,u=r.padWidth,c=r.preserveShortSequences,l=t.data,h=t.dataSplits,d=G(fD(n.data.get(l.dataId).values,n.data.get(h.dataId).values,a,i,o,s,u,c),2),f=d[0],p=d[1];return[n.makeTensorInfo([f.length],"string",f),n.makeTensorInfo(h.shape,"int32",p)]}};function vD(e,t,n,r){if(e.length)if(0!==t.length)if(1!==t.length){for(var a=0,i=0;i<e.length+1;i++)if(i===e.length||-1!==t.indexOf(e[i])){var o=e.subarray(a,i);n&&0===o.length||r.push(o),a=i+1}}else{for(var s=t[0],u=e.indexOf(s);-1!==u;){var c=e.subarray(0,u);n&&0===c.length||r.push(c),u=(e=e.subarray(u+1)).indexOf(s)}n&&0===e.length||r.push(e)}else for(var l=0;l<e.length;++l)r.push(e.subarray(l,l+1))}function mD(e,t,n){for(var r=e.length,a=[],i=0,o=0,s=new Array(r),u=0;u<r;++u){var c=a.length;vD(e[u],t,n,a);var l=a.length-c;s[u]=l,i+=l,o=Math.max(o,l)}for(var h=Ht("int32",2*i),d=new Array(i),f=[r,o],p=0,v=0;v<r;++v)for(var 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t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.k,o=r.sorted;DT(a,"topk");var s=G(CD(n.data.get(a.dataId).values,a.shape,a.dtype,i,o),2),u=s[0],c=s[1];return[n.makeTensorInfo(u.shape,u.dtype,u.values),n.makeTensorInfo(c.shape,c.dtype,c.values)]}};var _D={kernelName:mi,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.attrs,r=e.backend,a=t.image,i=t.transforms,o=n.interpolation,s=n.fillMode,u=n.fillValue,c=n.outputShape,l=G(a.shape,4),h=l[0],d=l[1],f=l[2],p=l[3],v=G(null!=c?c:[d,f],2),m=v[0],g=v[1],y=[h,m,g,p],b=rn(a.shape),x=b[0],k=b[1],w=b[2],S=Ut(a.dtype,Rt(y));S.fill(u);for(var N=r.data.get(a.dataId).values,I=r.data.get(i.dataId).values,T=0;T<h;++T){for(var C=1===i.shape[0]?I:I.subarray(8*T,8*T+8),E=0;E<m;++E)for(var _=0;_<g;++_)for(var A=0;A<p;++A){var R=void 0,D=C[6]*_+C[7]*E+1;if(0!==D){var M=(C[0]*_+C[1]*E+C[2])/D,O=(C[3]*_+C[4]*E+C[5])/D,F=AD(M,f,s),L=AD(O,d,s);switch(o){case"nearest":R=DD(N,d,f,x,k,w,T,L,F,A,u);break;case"bilinear":R=MD(N,d,f,x,k,w,T,L,F,A,u);break;default:throw new Error("Error in Transform: Expect 'nearest' or "+"'bilinear', but got ".concat(o))}S[T*x+E*k+_*w+A]=R}}return r.makeTensorInfo(y,a.dtype,S)}return{dataId:r.write(S,y,a.dtype),shape:a.shape,dtype:a.dtype}}};function AD(e,t,n){switch(n){case"reflect":return function(e,t){var n=e;if(n<0)if(t<=1)n=0;else{var r=2*t;n<r&&(n=r*Math.trunc(-n/r)+n),n=n<-t?n+r:-n-1}else if(n>t-1)if(t<=1)n=0;else{var a=2*t;(n-=a*Math.trunc(n/a))>=t&&(n=a-n-1)}return kt(0,n,t-1)}(e,t);case"wrap":return function(e,t){var n=e;if(n<0)if(t<=1)n=0;else{var r=t-1;n+=t*(Math.trunc(-n/r)+1)}else if(n>t-1)if(t<=1)n=0;else{var a=t-1;n-=t*Math.trunc(n/a)}return kt(0,n,t-1)}(e,t);case"nearest":return function(e,t){return kt(0,e,t-1)}(e,t);default:return function(e,t){return e}(e)}}function RD(e,t,n,r,a,i,o,s,u,c,l){return 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imod(index, texelsInLogicalRow) * 2;\n\n      return ivec3(b, r, c);\n    }\n  ";var r=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],a=Math.ceil(e[2]/2),i=a*Math.ceil(e[1]/2);return"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(".concat(r[0],", ").concat(r[1],"));\n      int index = resTexRC.x * ").concat(r[1]," + resTexRC.y;\n\n      int b = index / ").concat(i,";\n      index -= b * ").concat(i,";\n\n      int r = 2 * (index / ").concat(a,");\n      int c = imod(index, ").concat(a,") * 2;\n\n      return ivec3(b, r, c);\n    }\n  ")}(e,t,n);default:return function(e,t,n){if(n)return"\n    ivec4 getOutputCoords() {\n      ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(packedTexShape[0], packedTexShape[1]));\n      int index = resTexRC.x * packedTexShape[1] + resTexRC.y;\n\n      int 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return int(resultUV.y * ".concat(t[0],".0);\n      }\n    ");if(n)return"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(outTexShape[0], outTexShape[1]));\n      return resTexRC.x * outTexShape[1] + resTexRC.y;\n    }\n  ";return"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(".concat(t[0],", ").concat(t[1],"));\n      return resTexRC.x * ").concat(t[1]," + resTexRC.y;\n    }\n  ")}(0,t,n);case 2:return function(e,t,n){if(

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r * outShape[1];\n      return ivec2(r, c);\n    }\n  ";return"\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(".concat(t[0],", ").concat(t[1],"));\n      int index = resTexRC.x * ").concat(t[1]," + resTexRC.y;\n      int r = index / ").concat(e[1],";\n      int c = index - r * ").concat(e[1],";\n      return ivec2(r, c);\n    }\n  ")}(e,t,n);case 3:return function(e,t,n){if(n){var r=TM(["r","c","d"],e);return"\n  ivec3 getOutputCoords() {\n    ivec2 resTexRC = ivec2(resultUV.yx *\n                           vec2(outTexShape[0], outTexShape[1]));\n    int index = resTexRC.x * outTexShape[1] + resTexRC.y;\n    ".concat(r,"\n    return ivec3(r, c, d);\n  }\n")}var a=IM(["r","c","d"],e);return"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(".concat(t[0],", ").concat(t[1],"));\n      int index = resTexRC.x * ").concat(t[1]," + resTexRC.y;\n      ").concat(a,"\n      return ivec3(r, c, d);\n    }\n  ")}(e,t,n);case 4:return function(e,t,n){if(n){var r=TM(["r","c","d","d2"],e);return"\n    ivec4 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2(outTexShape[0], outTexShape[1]));\n      int index = resTexRC.x * outTexShape[1] + resTexRC.y;\n      ".concat(r,"\n      return ivec4(r, c, d, d2);\n    }\n  ")}var a=IM(["r","c","d","d2"],e);return"\n    ivec4 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2(".concat(t[0],", ").concat(t[1],"));\n      int index = resTexRC.x * ").concat(t[1]," + resTexRC.y;\n      ").concat(a,"\n      return ivec4(r, c, d, d2);\n    }\n  ")}(e,t,n);case 5:return function(e,t){var n=IM(["r","c","d","d2","d3"],e);return"\n    ivec5 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx * vec2(".concat(t[0],",\n                             ").concat(t[1],"));\n\n      int index = resTexRC.x * ").concat(t[1]," + resTexRC.y;\n\n      ").concat(n,"\n\n      ivec5 outShape = ivec5(r, c, d, d2, d3);\n      return outShape;\n    }\n  ")}(e,t);case 6:return function(e,t){var n=IM(["r","c","d","d2","d3","d4"],e);return"\n    ivec6 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2(".concat(t[0],", ").concat(t[1],"));\n      int index = resTexRC.x * ").concat(t[1]," + resTexRC.y;\n\n      ").concat(n,"\n\n      ivec6 result = ivec6(r, c, d, d2, d3, d4);\n      return result;\n    }\n  ")}(e,t);default:throw new Error("".concat(e.length,"-D output sampling is not yet supported"))}}(t.logicalShape,u,n.enableShapeUniforms),i=function(e){return"\n    void setOutput(float val) {\n      ".concat(e.output," = vec4(val, 0, 0, 0);\n    }\n  ")}(c)),n.packedInputs&&(h+=PM),[h,l,i,o,a,s,n.userCode].join("\n")}function DM(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=e.shapeInfo.logicalShape;switch(n.length){case 0:return BM(e,t);case 1:return WM(e,t);case 2:return VM(e,t);case 3:return jM(e,t);case 4:return UM(e,t);case 5:return HM(e);case 6:return GM(e);default:throw new Error("".concat(n.length,"-D input sampling")+" is not yet supported")}}function MM(e,t){switch(e.shapeInfo.logicalShape.length){case 0:return function(e){var t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1),r=NM();return"\n    vec4 ".concat(n,"() {\n      return ").concat(r.texture2D,"(").concat(t,", halfCR

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p=rn(u);d="".concat(p[0]===i[1],"_").concat(p[p.length-1]===i[1])}}else h="".concat(u[0]>1,"_").concat(u[1]>1);var v=t.shape.length,m=2===u.length&&Mt(t.shape,i),g=1===Rt(t.shape),y=Yu(t.shape,n.shape),b=!e.packedInputs&&v===n.shape.length&&Mt(i,n.texData.texShape),x=e.packedInputs||u.length>2?"":"".concat(i[0]>1,"_").concat(i[1]>1);r+="".concat(v,"_").concat(b,"_").concat(s?c:"","_").concat(u.length,"_").concat(g,"_").concat(y,"_").concat(m,"_").concat(l,"_").concat(h,"_").concat(d,"_").concat(x,"_").concat(a)}else{var k=t.isUniform?"uniform":t.texData.texShape;r+="".concat(t.shape,"_").concat(k,"_").concat(a)}}));var a=e.userCode,i=e.constructor.name;return i+="_"+r+"_"+a+"".concat(yn().getNumber("WEBGL_VERSION"))}function rO(e){return yn().getBool("WEBGL_USE_SHAPES_UNIFORMS")&&e<=4}var aO=vt((function e(t){ft(this,e),this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=WD.DENSE,this.customUniforms=[{name:"texShape",type:"ivec2"}];var n=NM();this.outputShape=t,this.enableShapeUniforms=rO(this.outputShape.length),this.userCode="\n      ivec3 outCoordsFromFlatIndex(int index) {\n        ".concat(this.enableShapeUniforms?TM(["r","c","d"],t):IM(["r","c","d"],t),"\n        return ivec3(r, c, d);\n      }\n\n      void main() {\n        ivec2 resTexRC = ivec2(resultUV.yx * vec2(texShape[0], texShape[1]));\n        int index = 4 * (resTexRC.x * texShape[1] + resTexRC.y);\n\n        vec4 result = vec4(0.);\n\n        for (int i=0; i<4; i++) {\n          int flatIndex = index + i;\n          ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n          result[i] = getA(rc.x, rc.y, rc.z);\n        }\n\n        ").concat(n.output," = result;\n      }\n    ")})),iO=vt((function e(t){ft(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=WD.DENSE,this.customUniforms=[{name:"texShape",type:"ivec2"}];var n=NM();this.outputShape=t,this.enableShapeUniforms=rO(this.outputShape.length),this.userCode="\n      ivec3 outCoordsFromFlatIndex(int index) {\n        ".concat(this.enableShapeUniforms?TM(["r","c","d"],t):IM(["r","c","d"],t),"\n        return ivec3(r, c, d);\n      }\n\n      void main() {\n        ivec2 resTexRC = ivec2(resultUV.yx * vec2(texShape[0], texShape[1]));\n        int index = 4 * (resTexRC.x * texShape[1] + resTexRC.y);\n\n        vec4 result = vec4(0.);\n\n        for (int i=0; i<4; i++) {\n          int flatIndex = index + i;\n          ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n          result[i] = getChannel(getA(rc.x, rc.y, rc.z), vec2(rc.y, rc.z));\n        }\n\n        ").concat(n.output," = result;\n      }\n    ")})),oO=vt((function e(t){ft(this,e),this.variableNames=["A"],this.outTexUsage=VD.DOWNLOAD;var n=NM();this.outputShape=t,this.userCode="\n      ".concat(_M,"\n\n      void main() {\n        float x = getAAtOutCoords();\n        ").concat(n.output," = encode_float(x);\n      }\n    ")})),sO=vt((function e(t){ft(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=VD.DOWNLOAD;var n=NM();this.outputShape=t,this.userCode="\n      ".concat(_M,"\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n        float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z));\n        ").concat(n.output," = encode_float(x);\n      }\n    ")})),uO=vt((function e(t){var n=arguments.length>1&&void 0!==arguments[1]&&arguments[1];ft(this,e),this.variableNames=["A"],this.customUniforms=[{name:"texShape",type:"ivec2"}];var r=NM();this.outputShape=t,this.enableShapeUniforms=rO(this.outputShape.length);var a="result";n&&(a="floor(result * 255. + 0.5)"),this.userCode="\n      ".concat(this.enableShapeUniforms?"\n  int getFlatIndex(ivec3 coords) {\n    return coords.x * outShapeStrides[0] + coords.y * outShapeStrides[1] + coords.z;\n  }\n":EM(t),"\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n\n        int flatIndex = getFlatIndex(coords);\n        int offset = imod(flatIndex, 4);\n\n        flatIndex = idiv(flatIndex, 4, 1.);\n\n        int r = flatIndex / texShape[1];\n        int c = imod(flatIndex, texShape[1]);\n        vec2 uv = (vec2(c, r) + halfCR) / vec2(texShape[1], texShape[0]);\n        vec4 values = ").concat(r.texture2D,"(A, uv);\n\n        float result;\n\n        if(offset == 0) {\n          result = values[0];\n        } else if(offset == 1) {\n          result = values[1];\n        } else if(offset == 2) {\n          result = values[2];\n        } else {\n          result = values[3];\n        }\n\n        ").concat(r.output," = vec4(").concat(a,", 0., 0., 0.);\n      }\n    ")})),cO=vt((function e(t){var n=arguments.length>1&&void 0!==arguments[1]&&arguments[1];ft(this,e),this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.customUniforms=[{name:"texShape",type:"ivec2"}];var r=NM();this.outputShape=t,this.enableShapeUniforms=rO(this.outputShape.length);var a="",i="result";n&&(i="floor(result * 255. + 0.5)");for(var o=0;o<=1;o++)for(var s=0;s<=1;s++){var u=2*o+s;a+="\n          localCoords = coords;\n          if(localCoords[2] + ".concat(s," < ").concat(this.enableShapeUniforms?"outShape[2]":"".concat(t[2]),") {\n          localCoords[2] += ").concat(s,";\n          if (localCoords[1] + ").concat(o," < ").concat(this.enableShapeUniforms?"outShape[1]":"".concat(t[1]),") {\n            localCoords[1] += ").concat(o,";\n\n            flatIndex = getFlatIndex(localCoords);\n            offset = imod(flatIndex, 4);\n\n            flatIndex = idiv(flatIndex, 4, 1.);\n\n            int r = flatIndex / texShape[1];\n            int c = imod(flatIndex, texShape[1]);\n            vec2 uv = (vec2(c, r) + halfCR) / vec2(texShape[1], texShape[0]);\n            values = ").concat(r.texture2D,"(A, uv);\n\n            if (offset == 0) {\n              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n.getQueryParameter(e,n.QUERY_RESULT)/1e6}var r=this.getQueryTimerExtensionWebGL1();return r.getQueryObjectEXT(e,r.QUERY_RESULT_EXT)/1e6}},{key:"isQueryAvailable",value:function(e,t){if(0===t)return!0;if(2===t){var n=this.gl,r=this.getQueryTimerExtensionWebGL2(),a=n.getQueryParameter(e,n.QUERY_RESULT_AVAILABLE);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),a&&!this.disjoint}var i=this.getQueryTimerExtensionWebGL1(),o=i.getQueryObjectEXT(e,i.QUERY_RESULT_AVAILABLE_EXT);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(i.GPU_DISJOINT_EXT)),o&&!this.disjoint}},{key:"pollFence",value:function(e){var t=this;return new Promise((function(n){t.addItemToPoll((function(){return e.isFencePassed()}),(function(){return n()}))}))}},{key:"pollItems",value:function(){for(var e=function(e){for(var t=0;t<e.length;++t){if(!e[t]())break}return t-1}(this.itemsToPoll.map((function(e){return 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e(t){if(ft(this,e),this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outputShape=t,this.rank=t.length,this.enableShapeUniforms=rO(this.outputShape.length),0===this.rank)this.userCode="\n        void main() {\n          setOutput(vec4(getA(), 0., 0., 0.));\n        }\n      ";else{var n=lF("rc",this.rank),r=YM(this.rank),a=this.getOutOfBoundsCondition(n),i=this.getSetup(n),o=this.getOutput(n);this.userCode="\n        void main() {\n          ".concat(r," rc = getOutputCoords();\n\n          if(").concat(a,") {\n            setOutput(vec4(0));\n          } else {\n            ").concat(i,"\n\n            setOutput(vec4(").concat(o,"));\n          }\n        }\n      ")}}return vt(e,[{key:"getSourceCoordsArr",value:function(e){for(var t=[],n=0;n<=1;n++)for(var r=0;r<=1;r++){for(var a="".concat(0===n?"r":"rp1",", ").concat(0===r?"c":"cp1"),i=2;i<this.rank;i++)a="".concat(e[e.length-1-i],",")+a;t.push(a)}return t}},{key:"getOutOfBoundsCondition",value:function(e){if(1===this.rank)return"rc > ".concat(this.enableShapeUniforms?"outShape":this.outputShape[0]);for(var t="",n=this.rank-2;n<this.rank;n++)t+="".concat(e[n]," >= ").concat(this.enableShapeUniforms?"outShape[".concat(n,"]"):this.outputShape[n]),n<this.rank-1&&(t+="||");return t}},{key:"getSetup",value:function(e){if(1===this.rank)return"";var t=e.slice(-2),n=this.enableShapeUniforms?"outShape[".concat(this.rank," - 1]"):this.outputShape[this.rank-1],r=this.enableShapeUniforms?"outShape[".concat(this.rank," - 2]"):this.outputShape[this.rank-2];return"\n      int r = ".concat(t[0],";\n      int c = ").concat(t[1],";\n      int rp1 = r + 1;\n      int cp1 = c + 1;\n\n      bool cEdge = cp1 >= ").concat(n,";\n      bool rEdge = rp1 >= ").concat(r,";\n    ")}},{key:"getOutput",value:function(e){var t=this.getSourceCoordsArr(e);if(1===this.rank){var n=this.enableShapeUniforms?"outShape":this.outputShape[0];return"getA(rc), (rc + 1 >= ".concat(n," ? 0. : getA(rc + 1)), 0, 0")}return"getA(".concat(t[0],"),\n            cEdge ? 0. : getA(").concat(t[1],"),\n            rE

2for(var n in this.usedTextures)this.usedTextures[n].forEach((function(t){e.gpgpu.deleteMatrixTexture(t.texture)}));this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0}}}]),e}();function pF(e,t,n,r,a){var i,o=function(e,t){switch(e){case jD.PACKED_2X2_FLOAT32:return gO(t);case jD.PACKED_2X2_FLOAT16:return yO(t);case jD.UNPACKED_FLOAT32:return pO(t);case jD.UNPACKED_FLOAT16:return vO(t);case jD.PACKED_4X1_UNSIGNED_BYTE:return mO(t);default:throw new Error("Unknown physical texture type ".concat(e))}}(t,r);if(a){var s=G(XD(e[0],e[1]),2);i=s[0]*s[1]}else{var u=G(qD(e[0],e[1]),2);i=u[0]*u[1]}var c=function(e,t){var n=e;if(t===n.R32F)return 4;if(t===n.R16F)return 2;if(t===n.RGBA32F)return 16;if(t===e.RGBA)return 16;if(t===n.RGBA16F)return 8;if(t===n.RGBA8)return 4;throw new Error("Unknown internal format ".concat(t))}(n,o);return i*c}function vF(e,t){if(e===VD.UPLOAD)return jD.PACKED_2X2_FLOAT32;if(e===VD.RENDER||null==e)return function(e){return yn().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?e?jD.PACKED_2X2_FLOAT32:jD.UNPACKED_FLOAT32:e?jD.PACKED_2X2_FLOAT16:jD.UNPACKED_FLOAT16}(t);if(e===VD.DOWNLOAD||e===VD.PIXELS)return jD.PACKED_4X1_UNSIGNED_BYTE;throw new Error("Unknown logical texture type ".concat(e))}function mF(e,t,n){return"".concat(e[0],"_").concat(e[1],"_").concat(t,"_").concat(n)}var gF=vt((function e(t,n){ft(this,e),this.variableNames=["A"],this.outputShape=t,this.enableShapeUniforms=rO(this.outputShape.length),this.userCode="\n      float unaryOperation(float x) {\n        ".concat(n,"\n      }\n\n      void main() {\n        float x = getAAtOutCoords();\n        float y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    ")})),yF="if (isnan(x)) return x;",bF="return x;",xF="return abs(x);";var kF="return (x >= 0.0) ? x : (exp(x) - 1.0);",wF=yF+"\n  return (x < 0.0) ? 0.0 : x;\n",SF=yF+"\n  return (x < 0.0) ? 0.0 : min(6.0, x);\n",NF="return x;",IF="return 1.0 / (1.0 + exp(-1.0 * x));",TF="return x;",CF="\n  vec4 result;\n\n  result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);\n  result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);\n  result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);\n  result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);\n\n  return result;\n",EF="\n  vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n",_F="\n  vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n",AF="return 1.0 / (1.0 + exp(-1.0 * x));",RF=vt((function e(t,n){ft(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.enableShapeUniforms=rO(this.outputShape.length),this.userCode="\n      vec4 unaryOperation(vec4 x) {\n        ".concat(n,"\n      }\n\n      void main() {\n        vec4 x = getAAtOutCoords();\n        vec4 y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    ")})),DF=vt((function e(t){ft(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=t,this.enableShapeUniforms=rO(this.outputShape.length);var n=t.length,r=lF("rc",n),a=YM(n),i=function(e,t){if(1===e)return"rc";for(var n="",r=0;r<e;r++)n+=t[r],r<e-1&&(n+=",");return n}(n,r),o=r.slice(-2),s=n<=1?"rc":"vec2(".concat(o.join(","),")");this.userCode="\n      void main() {\n        ".concat(a," rc = getOutputCoords();\n        vec4 packedInput = getA(").concat(i,");\n\n        setOutput(getChannel(packedInput, ").concat(s,"));\n      }\n    ")})),MF=pp,OF={};var FF=yn().getNumber("CPU_HANDOFF_SIZE_THRESHOLD");var LF=function(e){mo(n,e);var t=wo(n);function n(e){var r,a,i;if(ft(this,n),(r=t.call(this)).pendingRead=new WeakMap,r.pendingDisposal=new WeakSet,r.dataRefCount=new WeakMap,r.numBytesInGPU=0,r.uploadWaitMs=0,r.downloadWaitMs=0,r.lastGlFlushTime=0,r.warnedAboutMemory=!1,r.pendingDeletes=0,r.disposed=!1,!yn().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");if(null!=e){if(e instanceof xO)a=e;else{var o=GD(yn().getNumber("WEBGL_VERSION"),e);a=new xO(o)}r.binaryCache={},r.gpgpuCreatedLocally=!1}else{var s=GD(yn().getNumber("WEBGL_VERSION"));a=new xO(s),r.binaryCache=((i=yn().getNumber("WEBGL_VERSION"))in OF||(OF[i]={}),OF[i]),r.gpgpuCreatedLocally=!0}return r.gpgpu=a,r.canvas=r.gpgpu.gl.canvas,r.textureManager=new fF(r.gpgpu),r.numMBBeforeWarning=null==yn().global.screen?1024:yn().global.screen.height*yn().global.screen.width*window.devicePixelRatio*600/1024/1024,r.texData=new mt(xo(r),Kc()),r}return vt(n,[{key:"nextDataId",value:function(){return n.nextDataId++}},{key:"numDataIds",value:function(){return this.texData.numDataIds()-this.pendingDeletes}},{key:"write",value:function(e,t,n){if((yn().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS")||yn().getBool("DEBUG"))&&this.checkNumericalProblems(e),"complex64"===n&&null!=e)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");var r={id:this.nextDataId()};return this.texData.set(r,{shape:t,dtype:n,values:e,usage:VD.UPLOAD,refCount:1}),r}},{key:"refCount",value:function(e){return this.texData.has(e)?this.texData.get(e).refCount:0}},{key:"incRef",value:function(e){this.texData.get(e).refCount++}},{key:"decRef",value:function(e){this.texData.has(e)&&this.texData.get(e).refCount--}},{key:"move",value:function(e,t,n,r,a){if(yn().getBool("DEBUG")&&this.checkNumericalProblems(t),"complex64"===r)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(e,{shape:n,dtype:r,values:t,usage:VD.UPLOAD,refCount:a})}},{key:"disposeIntermediateTensorInfo",value:function(e){this.disposeData(e.dataId)}},{key:"readSync",value:function(e){var t=this.texData.get(e),n=t.values,r=t.dtype,a=t.complexTensorInfos,i=t.slice,o=t.shape,s=t.isPacked;if(null!=i){var u;u=s?new RF(o,NF):new gF(o,NF);var c=this.runWebGLProgram(u,[{dataId:e,shape:o,dtype:r}],r),l=this.readSync(c.dataId);return this.disposeIntermediateTensorInfo(c),l}if(null!=n)return this.convertAndCacheOnCPU(e);if("string"===r)return n;var h,d,f=null!=this.activeTimers;(f&&(h=oo()),"complex64"===r)?d=gm(this.readSync(a.real.dataId),this.readSync(a.imag.dataId)):d=this.getValuesFromTexture(e);return f&&(this.downloadWaitMs+=oo()-h),this.convertAndCacheOnCPU(e,d)}},{key:"read",value:function(){var e=Fe(Pe().mark((function e(t){var n,r,a,i,o,s,u,c,l,h,d,f,p,v,m,g,y,b,x,k,w,S,N;return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!this.pendingRead.has(t)){e.next=3;break}return n=this.pendingRead.get(t),e.abrupt("return",new Promise((function(e){return n.push(e)})));case 3:if(r=this.texData.get(t),a=r.values,i=r.shape,o=r.slice,s=r.dtype,u=r.complexTensorInfos,c=r.isPacked,null==o){e.next=11;break}return l=c?new RF(i,NF):new gF(i,NF),h=this.runWebGLProgram(l,[{dataId:t,shape:i,dtype:s}],s),d=this.read(h.dataId),this.disposeIntermediateTensorInfo(h),e.abrupt("return",d);case 11:if(null==a){e.next=13;break}return e.abrupt("return",this.convertAndCacheOnCPU(t));case 13:if(!yn().getBool("DEBUG")){e.next=16;break}if(yn().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")||2!==yn().getNumber("WEBGL_VERSION")){e.next=16;break}throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");case 16:if(f=null,"complex64"!==s&&yn().get("WEBGL_BUFFER_SUPPORTED")&&(p=this.decode(t),m=this.texData.get(p.dataId),f=(v=this.gpgpu).createBufferFromTexture.apply(v,[m.texture.texture].concat(dt(KD(i))))),this.pendingRead.set(t,[]),"complex64"===s){e.next=22;break}return e.next=22,this.gpgpu.createAndWaitForFence();case 22:if("complex64"!==s){e.next=31;break}return e.next=25,Promise.all([this.read(u.real.dataId),this.read(u.imag.dataId)]);case 25:y=e.sent,b=y[0],x=y[1],g=gm(b,x),e.next=32;break;case 31:null==f?g=this.getValuesFromTexture(t):(k=Rt(i),g=this.gpgpu.downloadFloat32MatrixFromBuffer(f,k));case 32:return null!=p&&this.disposeIntermediateTensorInfo(p),null!=f&&QD(w=this.gpgpu.gl,(function(){return w.deleteBuffer(f)})),S=this.convertAndCacheOnCPU(t,g),N=this.pendingRead.get(t),this.pendingRead.delete(t),N.forEach((function(e){return e(S)})),this.pendingDisposal.has(t)&&(this.pendingDisposal.delete(t),this.disposeData(t)&&Kc().removeDataId(t,this),this.pendingDeletes--),e.abrupt("return",S);case 40:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}()},{key:"readToGPU",value:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{},n=this.texData.get(e),r=n.values,a=n.shape,i=n.slice,o=n.dtype,s=n.isPacked,u=n.texture;if("complex64"===o)throw new Error("Does not support reading texture for complex64 dtype.");if(null!=i){var c;c=s?new RF(a,NF):new gF(a,NF);var l=this.runWebGLProgram(c,[{dataId:e,shape:a,dtype:o}],o),h=this.readToGPU(l,t);return this.disposeIntermediateTensorInfo(l),h}if(null==u)throw null!=r?new Error("Data is not on GPU but on CPU."):new Error("There is no data on GPU or CPU.");var d=this.decode(e,t.customTexShape),f=Kc().makeTensorFromDataId(d.dataId,d.shape,d.dtype),p=this.texData.get(d.dataId);return Object.assign({tensorRef:f},p.texture)}},{key:"bufferSync",value:function(e){var t=this.readSync(e.dataId),n=t;if("string"===e.dtype)try{n=t.map((function(e){return co(e)}))}catch(r){throw new Error("Failed to decode encoded string bytes into utf-8")}return xu(e.shape,e.dtype,n)}},{key:"checkNumericalProblems",value:function(e){if(null!=e)for(var t=0;t<e.length;t++){var n=e[t];if(!JD(n)){if(yn().getBool("WEBGL_RENDER_FLOAT32_CAPABLE"))throw Error("The value ".concat(n," cannot be represented with your ")+"current settings. Consider enabling float32 rendering: 'tf.env().set('WEBGL_RENDER_FLOAT32_ENABLED', true);'");throw Error("The value ".concat(n," cannot be represented on this device."))}}}},{key:"getValuesFromTexture",value:function(e){var t=this.texData.get(e),n=t.shape,r=t.dtype,a=t.isPacked,i=Rt(n);if(yn().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")){var o,s=this.decode(e),u=this.texData.get(s.dataId),c=(o=this.gpgpu).downloadMatrixFromPackedTexture.apply(o,[u.texture.texture].concat(dt(KD(n)))).subarray(0,i);return this.disposeIntermediateTensorInfo(s),c}var l=yn().getBool("WEBGL_PACK")&&!0===a,h=l?vM(n):n,d=l?new sO(h):new oO(h),f=this.runWebGLProgram(d,[{shape:h,dtype:r,dataId:e}],"float32"),p=this.texData.get(f.dataId),v=this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(p.texture.texture,p.texShape[0],p.texShape[1]).subarray(0,i);return this.disposeIntermediateTensorInfo(f),v}},{key:"timerAvailable",value:function(){return yn().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0}},{key:"time",value:function(e){var t=this,n=this.activeTimers,r=[],a=!1;null==this.programTimersStack?(this.programTimersStack=r,a=!0):this.activeTimers.push(r),this.activeTimers=r,e();var i=At(this.activeTimers.map((function(e){return e.query}))).filter((function(e){return null!=e})),o=At(this.activeTimers.map((function(e){return e.name}))).filter((function(e){return null!=e}));this.activeTimers=n,a&&(this.programTimersStack=null);var s={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null};return Fe(Pe().mark((function e(){var n;return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!(yn().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0)){e.next=8;break}return e.next=3,Promise.all(i);case 3:n=e.sent,s.kernelMs=Nt(n),s.getExtraProfileInfo=function(){return n.map((function(e,t){return{name:o[t],ms:e}})).map((function(e){return"".concat(e.name,": ").concat(e.ms)})).join(", ")},e.next=9;break;case 8:s.kernelMs={error:"WebGL query timers are not supported in this environment."};case 9:return t.uploadWaitMs=0,t.downloadWaitMs=0,e.abrupt("return",s);case 12:case"end":return e.stop()}}),e)})))()}},{key:"memory",value:function(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU,numBytesInGPUAllocated:this.textureManager.numBytesAllocated,numBytesInGPUFree:this.textureManager.numBytesFree}}},{key:"startTimer",value:function(){return yn().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?this.gpgpu.beginQuery():{startMs:oo(),endMs:null}}},{key:"endTimer",value:function(e){return yn().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?(this.gpgpu.endQuery(),e):(e.endMs=oo(),e)}},{key:"getQueryTime",value:function(){var e=Fe(Pe().mark((function e(t){var n;return Pe().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!(yn().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0)){e.next=2;break}return e.abrupt("return",this.gpgpu.waitForQueryAndGetTime(t));case 2:return n=t,e.abrupt("return",n.endMs-n.startMs);case 4:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}()},{key:"disposeData",value:function(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1];if(this.pendingDisposal.has(e))return!1;if(!this.texData.has(e))return!0;if(t?this.texData.get(e).refCount=0:this.texData.get(e).refCount--,!t&&this.texData.get(e).refCount>0)return!1;if(this.pendingRead.has(e))return this.pendingDisposal.add(e),this.pendingDeletes++,!1;this.releaseGPUData(e);var n=this.texData.get(e),r=n.complexTensorInfos;return null!=r&&(this.disposeData(r.real.dataId,t),this.disposeData(r.imag.dataId,t)),this.texData.delete(e),!0}},{key:"releaseGPUData",value:function(e){var t=this.texData.get(e),n=t.texture,r=t.dtype,a=t.texShape,i=t.usage,o=t.isPacked,s=t.slice,u=s&&s.origDataId||e,c=this.dataRefCount.get(u);c>1?this.dataRefCount.set(u,c-1):(this.dataRefCount.delete(u),null!=n&&(this.numBytesInGPU-=this.computeBytes(a,r),this.textureManager.releaseTexture(n,a,i,o)));var l=this.texData.get(e);l.texture=null,l.texShape=null,l.isPacked=!1,l.slice=null}},{key:"getTexture",value:function(e){return this.uploadToGPU(e),this.texData.get(e).texture.texture}},{key:"getDataInfo",value:function(e){return this.texData.get(e)}},{key:"shouldExecuteOnCPU",value:function(e){var t=this,n=arguments.length>1&&void 0!==arguments[1]?arguments[1]:FF;return yn().getBool("WEBGL_CPU_FORWARD")&&e.every((function(e){return null==t.texData.get(e.dataId).texture&&Rt(e.shape)<n}))}},{key:"getGPGPUContext",value:function(){return this.gpgpu}},{key:"where",value:function(e){Ei("tf.where() in webgl locks the UI thread. Call tf.whereAsync() instead");var t=e.dataSync();return MF(e.shape,t)}},{key:"packedUnaryOp",value:function(e,t,n){var r=new RF(e.shape,t),a=this.compileAndRun(r,[e],n);return Kc().makeTensorFromDataId(a.dataId,a.shape,a.dtype)}},{key:"abs",value:function(e){if(this.shouldExecuteOnCPU([e])&&"complex64"!==e.dtype){var t=XO(this.texData.get(e.dataId).values);return this.makeOutput(e.shape,e.dtype,t)}if(yn().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,xF,e.dtype);var n=new gF(e.shape,xF),r=this.compileAndRun(n,[e]);return Kc().makeTensorFromDataId(r.dataId,r.shape,r.dtype)}},{key:"makeTensorInfo",value:function(e,t,n){var r;if("string"===t&&null!=n&&n.length>0&&Jt(n[0])){var a=n.map((function(e){return uo(e)}));r=this.write(a,e,t)}else r=this.write(n,e,t);return this.texData.get(r).usage=null,{dataId:r,shape:e,dtype:t}}},{key:"makeOutput",value:function(e,t,n){var r=this.makeTensorInfo(e,t,n).dataId;return Kc().makeTensorFromDataId(r,e,t,this)}},{key:"unpackTensor",value:function(e){var t=new DF(e.shape);return this.runWebGLProgram(t,[e],e.dtype)}},{key:"packTensor",value:function(e){var t=new hF(e.shape);return this.runWebGLProgram(t,[e],e.dtype,null,!0)}},{key:"packedReshape",value:function(e,t){var n=[fM(e.shape)].concat(dt(pM(e.shape))),r={dtype:e.dtype,shape:n,dataId:e.dataId},a=[fM(t)].concat(dt(pM(t))),i=new dF(a,n),o=[n],s=this.runWebGLProgram(i,[r],e.dtype,o,!0);return{dataId:s.dataId,shape:t,dtype:s.dtype}}},{key:"decode",value:function(e,t){var n=this.texData.get(e),r=n.isPacked,a=n.shape,i=n.dtype;null!=t&&Ct(Rt(a)<=t[0]*t[1]*4,(function(){return"customTexShape is too small. Row * Column * 4 should be equal or larger than the size of the tensor data."}));var o,s=vM(a);o=r?new iO(s):new aO(s);var u=[null!=t?t:KD(s)];return{dtype:i,shape:a,dataId:this.runWebGLProgram(o,[{shape:s,dtype:i,dataId:e}],i,u,!0,t).dataId}}},{key:"runWebGLProgram",value:function(e,t,n,r){var a=this,i=arguments.length>4&&void 0!==arguments[4]&&arguments[4],o=arguments.length>5?arguments[5]:void 0,s=this.makeTensorInfo(e.outputShape,n),u=this.texData.get(s.dataId);if(e.packedOutput&&(u.isPacked=!0),e.outPackingScheme===WD.DENSE){var c=null!=o?o:KD(e.outputShape);u.texShape=c.map((function(e){return 2*e}))}if(null!=e.outTexUsage&&(u.usage=e.outTexUsage),0===Rt(s.shape))return u.values=Ut(s.dtype,0),s;var l=[],h=t.map((function(t){if("complex64"===t.dtype)throw new Error("GPGPUProgram does not support complex64 input. 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i < ").concat(l,"; i += 4) {\n          int inIdx = inOffset + i;\n          ").concat(f," values = ").concat(f,"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          ").concat(d,"\n        }\n\n        int inIdx = inOffset + ").concat(l,";\n        if (").concat(1===h,") {\n          ").concat(f," values = ").concat(f,"(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          ").concat(d,"\n        } else if (").concat(2===h,") {\n          ").concat(f," values = ").concat(f,"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          ").concat(d,"\n        } else if (").concat(3===h,") {\n          ").concat(f," values = ").concat(f,"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          ").concat(d,"\n        }\n        setOutput(").concat(c,");\n      }\n    ")}));function cL(e,t,n,r){for(var a=function(e){for(var t=[];0===t.length||1!==t[t.length-1].outSize;){var n=t.length?t[t.length-1].outSize:e[1],r=nm(n);t.push({inSize:n,windowSize:r,outSize:Math.ceil(n/r)})}return t}(e.shape),i=e,o=0;o<a.length;o++){var s,u=a[o],c=u.inSize,l=u.windowSize,h=u.outSize,d=void 0;d="mean"===n?0===o?new sL({windowSize:l,inSize:c,batchSize:e.shape[0],outSize:h},c):new sL({windowSize:l,inSize:c,batchSize:e.shape[0],outSize:h}):new uL({windowSize:l,inSize:c,batchSize:e.shape[0],outSize:h},n),s=i,i=r.runWebGLProgram(d,[i],t),s.dataId!==e.dataId&&r.disposeIntermediateTensorInfo(s)}return i}var lL=vt((function e(t,n){ft(this,e),this.variableNames=["A"];for(var r=new Array(t.length),a=0;a<r.length;a++)r[a]=t[n[a]];this.outputShape=r,this.rank=r.length;var i=YM(this.rank),o=function(e){var t=e.length;if(t>6)throw Error("Transpose for rank ".concat(t," is not yet supported"));for(var n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],r=new Array(t),a=0;a<e.length;a++)r[e[a]]=n[a];return r.join()}(n);this.userCode="\n    void main() {\n      ".concat(i," resRC = getOutputCoords();\n      setOutput(getA(").concat(o,"));\n    }\n    ")}));var hL=vt((function e(t,n){ft(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0;for(var r=new Array(t.length),a=0;a<r.length;a++)r[a]=t[n[a]];if(this.outputShape=r,this.rank=r.length,this.rank>6)throw Error("Packed transpose for rank ".concat(this.rank," is not yet supported."));for(var i=YM(this.rank),o=cF("rc",this.rank),s=new Array(this.rank),u=0;u<n.length;u++)s[n[u]]=o[u];var c="vec2(".concat(s.slice(-2).join(),")"),l="++".concat(o[this.rank-1]," < ").concat(r[this.rank-1]),h="getChannel(getA(".concat(s.join(),"), ").concat(c,")");this.userCode="\n    void main() {\n      ".concat(i," rc = getOutputCoords();\n      vec4 result = vec4(0.);\n      result[0] = ").concat(h,";\n      if(").concat(l,") {\n        result[1] = ").concat(h,";\n      }\n      --").concat(o[this.rank-1],";

2,backend:i,attrs:{shape:[R,D,1]}}),A.push(W));var V=1===b?2:1,j=z;B&&(j=iL({inputs:{x:z},backend:i,attrs:{shape:[R,1,D]}}),A.push(j));var U=rL({inputs:{a:W,b:j},backend:i});I=fL({inputs:{x:U},backend:i,attrs:{axis:V,keepDims:!0}}),A.push(U)}else{var H=Wo(t.dtype,n.dtype),G=new ZF(T,C,[R,y,b],r,a,M,L,O,F),q=[E,_];if(null!=s&&q.push(s),O&&q.push(c),F){var K=i.makeTensorInfo([],"float32",ao(h,"float32"));q.push(K),A.push(K)}I=i.runWebGLProgram(G,q,H)}var X=iL({inputs:{x:I},backend:i,attrs:{shape:N}});A.push(I);for(var Y=0,Q=A;Y<Q.length;Y++){var J=Q[Y];i.disposeIntermediateTensorInfo(J)}return X}var yL={kernelName:Ii,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.a,i=t.b,o=t.bias,s=t.preluActivationWeights,u=r.transposeA,c=r.transposeB,l=r.activation;return gL({a:a,b:i,transposeA:u,transposeB:c,backend:n,bias:o,preluActivationWeights:s,leakyreluAlpha:r.leakyreluAlpha,activation:l})}},bL="return abs(x);";var xL={kernelName:Sn,backendName:"webgl",kernelFunc:function(e){var t,n=e.inputs,r=e.backend,a=n.x;if(r.shouldExecuteOnCPU([a])&&"complex64"!==a.dtype){var i=r.texData.get(a.dataId),o=XO(i.values);return r.makeTensorInfo(a.shape,a.dtype,o)}return t=yn().getBool("WEBGL_PACK_UNARY_OPERATIONS")?new RF(a.shape,bL):new gF(a.shape,bL),r.runWebGLProgram(t,[a],a.dtype)}},kL=YF({opSnippet:"if (isnan(x)) return x;\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return acos(x);\n"}),wL={kernelName:Nn,backendName:"webgl",kernelFunc:kL},SL=YF({opSnippet:"if (isnan(x)) return x;\n  if (x < 1.0) return NAN;\nreturn log(x + sqrt(x * x - 1.0));"}),NL={kernelName:In,backendName:"webgl",kernelFunc:SL},IL="return a + b;",TL=QF({opSnippet:IL,packedOpSnippet:IL,supportsComplex:!0,cpuKernelImpl:kO}),CL={kernelName:Tn,backendName:"webgl",kernelFunc:TL},EL=vt((function e(t,n){ft(this,e),this.outputShape=[],this.outputShape=t,this.variableNames=n.map((function(e,t){return"T".concat(t)}));var r=[];this.variableNames.forEach((function(e){r.push("float v".concat(e," = get").concat(e,"AtOutCoords();"))}));var a=this.variableNames.map((function(e){return"v".concat(e)})).join(" + ");this.userCode="\n      void main() {\n        ".concat(r.join("\n        "),"\n\n        float result = ").concat(a,";\n        setOutput(result);\n      }\n    ")})),_L=vt((function e(t,n){ft(this,e),this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.variableNames=n.map((function(e,t){return"T".concat(t)}));var r=[];this.variableNames.forEach((function(e){r.push("vec4 v".concat(e," = get").concat(e,"AtOutCoords();"))}));var a=this.variableNames.map((function(e){return"v".concat(e)})).join(" + ");this.userCode="\n      void main() {\n        ".concat(r.join("\n        "),"\n\n        vec4 result = ").concat(a,";\n        setOutput(result);\n      }\n    ")}));var AL={kernelName:Cn,backendName:"webgl",kernelFunc:function e(t){var n=t.inputs,r=t.backend,a=n;if(1===a.length)return BF({inputs:{x:a[0]},backend:r});if(a.length>yn().get("WEBGL_MAX_TEXTURES_IN_SHADER")){var i=Math.floor(a.length/2),o=e({inputs:a.slice(0,i),backend:r}),s=e({inputs:a.slice(i),backend:r});return e({inputs:[o,s],backend:r})}var u=a.map((function(e){return e.dtype})).reduce((function(e,t){return Wo(e,t)})),c=a.map((function(e){return e.shape})),l=yn().getBool("WEBGL_PACK")?new _L(a[0].shape,c):new EL(a[0].shape,c);return r.runWebGLProgram(l,a,u)}};var RL={kernelName:En,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.keepDims,s=a.shape.length,u=Vt(i,a.shape),c=u,l=Md(c,s),h=a;null!=l&&(h=vL({inputs:{x:a},backend:n,attrs:{perm:l}}),c=Fd(c.length,s)),Dd("all",c,s);var d,f=G(Ad(h.shape,c),2),p=f[0],v=iL({inputs:{x:h},backend:n,attrs:{shape:[-1,Rt(f[1])]}}),m=cL(v,v.dtype,"all",n);return d=iL(o?{inputs:{x:m},backend:n,attrs:{shape:Rd(p,u)}}:{inputs:{x:m},backend:n,attrs:{shape:p}}),n.disposeIntermediateTensorInfo(v),n.disposeIntermediateTensorInfo(m),null!=l&&n.disposeIntermediateTensorInfo(h),d}};var DL={kernelName:_n,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.keepDims,s=a.shape.length,u=Vt(i,a.shape),c=u,l=Md(c,s),h=a;null!=l&&(h=vL({inputs:{x:a},backend:n,attrs:{perm:l}}),c=Fd(c.length,s)),Dd("any",c,s);var d,f=G(Ad(h.shape,c),2),p=f[0],v=iL({inputs:{x:h},backend:n,attrs:{shape:[-1,Rt(f[1])]}}),m=cL(v,v.dtype,"any",n);return d=iL(o?{inputs:{x:m},backend:n,attrs:{shape:Rd(p,u)}}:{inputs:{x:m},backend:n,attrs:{shape:p}}),n.disposeIntermediateTensorInfo(v),n.disposeIntermediateTensorInfo(m),null!=l&&n.disposeIntermediateTensorInfo(h),d}},ML=vt((function e(t,n,r){ft(this,e),this.variableNames=["A"];var a=t.windowSize,i=t.batchSize,o=t.outSize;r||this.variableNames.push("bestIndicesA"),this.outputShape=[i,o];var s="max"===n?">":"<",u=r?"inOffset + i;":"round(getBestIndicesA(batch, inOffset + i));";this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * ".concat(a,";\n\n        int bestIndex = inOffset;\n        float bestValue = getA(batch, bestIndex);\n\n        for (int i = 0; i < ").concat(a,"; i++) {\n          int inIdx = ").concat(u,";\n          float candidate = getA(batch, inIdx);\n          if (candidate ").concat(s," bestValue) {\n            bestValue = candidate;\n            bestIndex = inIdx;\n          }\n        }\n        setOutput(float(bestIndex));\n      }\n    ")})),OL=vt((function e(t,n,r,a){ft(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,Ct(t.length>2,(function(){return"Packed arg".concat(r.charAt(0).toUpperCase()+r.slice(1)," supports only inputs with rank above 2.")}));var i=t[t.length-1],o=Math.ceil(i/n);this.outputShape=t.slice(0,-1),o>1&&this.outputShape.push(o),a||this.variableNames.push("bestIndicesA");var s,u,c=this.outputShape,l=c.length,h=YM(l),d=lF("coords",l);if(1===o){var f=YM(u=l+1);s="\n        ".concat(f," sourceLocR = ").concat(f,"(").concat(d.join(),", 0);\n        ++").concat(d[l-1],";\n        ").concat(f," sourceLocG = ").concat(f,"(").concat(d.join(),", 0);\n        ++").concat(d[l-2],";\n        ").concat(f," sourceLocA = ").concat(f,"(").concat(d.join(),", 0);\n        --").concat(d[l-1],";\n        ").concat(f," sourceLocB = ").concat(f,"(").concat(d.join(),", 0);\n        --").concat(d[l-2],";")}else u=l,s="\n        ".concat(h," sourceLocR = coords;\n        ++").concat(d[l-1],";\n        ").concat(h," sourceLocG = coords;\n        ++").concat(d[l-2],";\n        ").concat(h," sourceLocA = coords;\n        --").concat(d[l-1],";\n        ").concat(h," sourceLocB = coords;\n        --").concat(d[l-2],";");var p=["x","y","z","w","u","v"].slice(0,u),v="."+p[u-1],m=p.map((function(e){return"int "+e})),g=lF("sourceLocR",u-1).concat("inIdx.r"),y=lF("sourceLocG",u-1).concat("inIdx.g"),b=lF("sourceLocB",u-1).concat("inIdx.b"),x=lF("sourceLocA",u-1).concat("inIdx.a"),k="max"===r?"greaterThan":"lessThan",w=a?"":"\n          inIdx = round(vec4(getBestIndicesAChannel(".concat(g.join(),"),\n                             getBestIndicesAChannel(").concat(y.join(),"),\n                             getBestIndicesAChannel(").concat(b.join(),"),\n                             getBestIndicesAChannel(").concat(x.join(),")));"),S="vec4(\n            getAChannel(".concat(g.join(),"),\n            hasNextCol ? getAChannel(").concat(y.join(),") : 0.,\n            hasNextRow ? getAChannel(").concat(b.join(),") : 0.,\n            hasNextRow && hasNextCol ? getAChannel(").concat(x.join(),") : 0.)"),N=a?"":"\n      float getBestIndicesAChannel(".concat(m.join(),") {\n        return getChannel(getBestIndicesA(").concat(p.join(),"),\n                                          vec2(").concat(p.slice(-2).join(),"));\n      }");this.userCode="\n      float getAChannel(".concat(m.join(),") {\n        return getChannel(getA(").concat(p.join(),"),\n                               vec2(").concat(p.slice(-2).join(),"));\n      }\n      ").concat(N,"\n      void main() {\n        ").concat(h," coords = getOutputCoords();\n        bool hasNextCol = ").concat(d[l-1]," < ").concat(c[l-1]-1,";\n        bool hasNextRow = ").concat(d[l-2]," < ").concat(c[l-2]-1,";\n        ").concat(s,"\n        ivec4 srcIdx = ivec4(sourceLocR").concat(v,", sourceLocG").concat(v,",\n          sourceLocB").concat(v,", sourceLocA").concat(v,") * ").concat(n,";\n        ivec4 inIdx = srcIdx;\n        vec4 bestIndex = vec4(inIdx);\n        vec4 bestValue = ").concat(S,";\n\n        for (int i = 0; i < ").concat(n,";

2s,n=e.backend,r=e.attrs,a=t.x;wM(a,"avgPool");var i=r.filterSize,o=r.strides,s=r.pad,u=r.dimRoundingMode;Ct(ch(o,1),(function(){return"Error in avgPool: Either strides or dilations must be 1. "+"Got strides ".concat(o," and dilations '").concat(1,"'")}));var c=Jl(a.shape,i,o,1,s,u);if(1===c.filterWidth&&1===c.filterHeight&&Mt(c.inShape,c.outShape))return BF({inputs:{x:a},backend:n});var l=new QL(c,"avg",!1);return n.runWebGLProgram(l,[a],"float32")}};var $L={kernelName:Bn,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.filterSize,o=r.strides,s=r.pad,u=r.dimRoundingMode,c=r.dataFormat,l=Zl(a.shape,i,o,[1,1,1],s,u,c),h=new JL(l,"avg",!1);return n.runWebGLProgram(h,[a],"float32")}},eP=vt((function e(t){ft(this,e),this.variableNames=["dy"],this.outputShape=t.inShape;var n=t.filterHeight,r=t.filterWidth,a=t.strideHeight,i=t.strideWidth,o=t.dilationHeight,s=t.dilationWidth,u=t.effectiveFilterHeight,c=t.effectiveFilterWidth,l=u-1-t.padInfo.top,h=c-1-t.padInfo.left,d=1/(n*r);this.userCode="\n      const ivec2 pads = ivec2(".concat(l,", ").concat(h,");\n      const float avgMultiplier = float(").concat(d,");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < ").concat(u,";\n            wR += ").concat(o,") {\n          float dyR = float(dyRCorner + wR) / ").concat(a,".0;\n\n          if (dyR < 0.0 || dyR >= ").concat(t.outHeight,".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < ").concat(c,";\n            wC+= ").concat(s,") {\n            float dyC = float(dyCCorner + wC) / ").concat(i,".0;\n\n            if (dyC < 0.0 || dyC >= ").concat(t.outWidth,".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n\n            dotProd += dyValue * avgMultiplier;\n          }\n        }\n        setOutput(dotProd);\n      }\n    ")})),tP=vt((function e(t){ft(this,e),this.variableNames=["dy"],this.outputShape=t.inShape;var n=t.filterDepth,r=t.filterHeight,a=t.filterWidth,i=t.strideDepth,o=t.strideHeight,s=t.strideWidth,u=t.dilationDepth,c=t.dilationHeight,l=t.dilationWidth,h=t.effectiveFilterDepth,d=t.effectiveFilterHeight,f=t.effectiveFilterWidth,p=h-1-t.padInfo.front,v=d-1-t.padInfo.top,m=f-1-t.padInfo.left,g=1/(n*r*a);this.userCode="\n      const ivec3 pads = ivec3(".concat(p,", ").concat(v,", ").concat(m,");\n      const float avgMultiplier = float(").concat(g,");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyDCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        // Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get\n        // dx(xD, xR, xC, ch).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int wD = 0; wD < ").concat(h,";\n            wD += ").concat(u,") {\n          float dyD = float(dyDCorner + wD) / ").concat(i,".0;\n\n          if (dyD < 0.0 || dyD >= ").concat(t.outDepth,".0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < ").concat(d,";\n              wR += ").concat(c,") {\n            float dyR = float(dyRCorner + wR) / ").concat(o,".0;\n\n            if (dyR < 0.0 || dyR >= ").concat(t.outHeight,".0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < ").concat(f,";\n                wC += ").concat(l,") {\n              float dyC = float(dyCCorner + wC) / ").concat(s,".0;\n\n              if (dyC < 0.0 || dyC >= ").concat(t.outWidth,".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n\n              dotProd += dyValue * avgMultiplier;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    ")}));var nP={kernelName:Wn,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.input,o=r.filterSize,s=r.strides,u=r.pad,c=r.dimRoundingMode,l=Zl(i.shape,o,s,[1,1,1],u,c),h=new tP(l);return n.runWebGLProgram(h,[a],i.dtype)}};var rP={kernelName:zn,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.input,o=i;wM([a,i],"avgPoolGrad");var s=r.filterSize,u=r.strides,c=r.pad,l=Jl(o.shape,s,u,1,c),h=new eP(l);return n.runWebGLProgram(h,[a],o.dtype)}};var aP={kernelName:Vn,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs;return gL({a:t.a,b:t.b,transposeA:r.transposeA,transposeB:r.transposeB,backend:n})}},iP=vt((function e(t,n,r,a,i,o){ft(this,e),this.outputShape=[],this.variableNames=["x","mean","variance"],Ju(t,n),Ju(t,r);var s="0.0";null!=a&&(Ju(t,a),this.variableNames.push("offset"),s="getOffsetAtOutCoords()");var u="1.0";null!=i&&(Ju(t,i),this.variableNames.push("scale"),u="getScaleAtOutCoords()"),this.outputShape=t,this.userCode="\n      void main() {\n        float x = getXAtOutCoords();\n        float mean = getMeanAtOutCoords();\n        float variance = getVarianceAtOutCoords();\n        float offset = ".concat(s,";\n        float scale = ").concat(u,";\n        float inv = scale * inversesqrt(variance + float(").concat(o,"));\n        setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));\n      }\n    ")})),oP=vt((function e(t,n,r,a,i,o){ft(this,e),this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],Ju(t,n),Ju(t,r);var s="vec4(0.0)";null!=a&&(Ju(t,a),this.variableNames.push("offset"),s="getOffsetAtOutCoords()");var u="vec4(1.0)";null!=i&&(Ju(t,i),this.variableNames.push("scale"),u="getScaleAtOutCoords()"),this.outputShape=t,this.userCode="\n      void main() {\n        vec4 offset = ".concat(s,";\n        vec4 scale = ").concat(u,";\n\n        vec4 x = getXAtOutCoords();\n        vec4 mean = getMeanAtOutCoords();\n        vec4 variance = getVarianceAtOutCoords();\n\n        vec4 inv = scale * inversesqrt(variance + vec4(").concat(o,"));\n\n        setOutput((x - mean) * inv + offset);\n      }\n    ")})),sP={kernelName:Rr,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.mean,o=t.variance,s=t.offset,u=t.scale;Ct(i.shape.length===o.shape.length,(function(){return"Batch normalization gradient requires mean and variance to have equal ranks."})),Ct(null==s||i.shape.length===s.shape.length,(function(){return"Batch normalization gradient requires mean and offset to have equal ranks."})),Ct(null==u||i.shape.length===u.shape.length,(function(){return"Batch normalization gradient requires mean and scale to have equal ranks."}));var c=r.varianceEpsilon;null==c&&(c=.001);var l=[a,i,o],h=null;null!=s&&(h=s.shape,l.push(s));var d=null;null!=u&&(d=u.shape,l.push(u));var f=yn().getBool("WEBGL_PACK_NORMALIZATION")?new oP(a.shape,i.shape,o.shape,h,d,c):new iP(a.shape,i.shape,o.shape,h,d,c);return n.runWebGLProgram(f,l,l[0].dtype)}},uP=vt((function e(t){ft(this,e),this.variableNames=["source"],this.outputShape=t,this.rank=t.length;var n=YM(this.rank);this.customUniforms=[{name:"start",arrayIndex:this.rank,type:"int"}];var r,a=function(e){if(1===e)return"sourceLoc";if(e<=6)return cP.slice(0,e).map((function(e){return"sourceLoc."+e})).join(",");throw Error("Slicing for rank ".concat(e," is not yet supported"))}(this.rank),i=t.map((function(e,t){return"sourceLoc.".concat(cP[t]," = start[").concat(t,"] + coords.").concat(cP[t],";")}));r="\n        ".concat(n," sourceLoc;\n        ").concat(n," coords = getOutputCoords();\n        ").concat(i.join("\n"),"\n      "),this.userCode="\n      void main() {\n        ".concat(r,"\n        setOutput(getSource(").concat(a,"));\n      }\n    ")})),cP=["x","y","z","w","u","v"];var lP=vt((function e(t){ft(this,e),this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.rank=t.length,this.customUniforms=[{name:"start",arrayIndex:this.rank,type:"int"}];var n=YM(this.rank),r=lF("coords",this.rank),a=lF("sourceLoc",this.rank),i=1===this.rank?"sourceLoc":"vec2(".concat(a.slice(-2).join(),")"),o="getChannel(getSource(".concat(a.join(),"), ").concat(i,")"),s="\n      result.x = ".concat(o,";\n      if (++").concat(r[this.rank-1]," < ").concat(t[this.rank-1],") {\n        ++").concat(a[this.rank-1],";\n        result.y = ").concat(o,";\n        --").concat(a[this.rank-1],";\n      }\n    "),u=1===this.rank?"":"\n      --".concat(r[this.rank-1],";

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2s,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.exclusive,s=r.reverse,u=a.shape.length,c=Md([i],u),l=a;null!=c&&(l=vL({inputs:{x:a},backend:n,attrs:{perm:c}}));var h=Fd(1,u)[0];if(h!==u-1)throw new Error("WebGL cumsum shader expects an inner-most axis=".concat(a.shape.length-1," ")+"but got axis=".concat(i));for(var d=l.shape[h],f=BF({inputs:{x:l},backend:n}),p=0;p<=Math.ceil(Math.log2(d))-1;p++){var v=new iz(l.shape,!1,s),m=[[p]],g=f;f=n.runWebGLProgram(v,[f],f.dtype,m),n.disposeIntermediateTensorInfo(g)}if(o){var y=new iz(l.shape,o,s),b=f;f=n.runWebGLProgram(y,[f],f.dtype),n.disposeIntermediateTensorInfo(b)}if(null!=c){var x=vL({inputs:{x:f},backend:n,attrs:{perm:Od(c)}});return n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(l),x}return f}};var cz={kernelName:ur,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.weights,o=r.size,s=r.binaryOutput;if(1===a.shape.length){var u=n.readSync(a.dataId),c=n.readSync(i.dataId),l=wO(u,c,i.dtype,i.shape,o);return n.makeTensorInfo([o],i.dtype,l)}if(2===a.shape.length){var h=n.bufferSync(a),d=n.bufferSync(i),f=SO(h,d,o,s);return n.makeTensorInfo(f.shape,i.dtype,f.values)}throw new Error("Error in denseBincount: input must be at most rank 2, but got rank"+"".concat(a.shape.length,"."))}},lz=function(){function e(t,n,r){ft(this,e),this.variableNames=["x"],this.outputShape=[],this.outputShape=t,this.blockSize=n,this.dataFormat=r,this.userCode="\n    void main() {\n      ivec4 coords = getOutputCoords();\n      int b = coords[0];\n      int h = ".concat(this.getHeightCoordString(),";\n      int w = ").concat(this.getWidthCoordString(),";\n      int d = ").concat(this.getDepthCoordString(),";\n\n      int in_h = h / ").concat(n,";\n      int offset_h = imod(h, ").concat(n,");\n      int in_w = w / ").concat(n,";\n      int offset_w = imod(w, ").concat(n,");\n      int offset_d = (offset_h * ").concat(n," + offset_w) *\n        ").concat(this.getOutputDepthSize(),";\n      int in_d = d + offset_d;\n\n      float result = ").concat(this.getInputSamplingString(),";\n      setOutput(result);\n    }\n  ")}return vt(e,[{key:"getHeightCoordString",value:function(){return"NHWC"===this.dataFormat?"coords[1]":"coords[2]"}},{key:"getWidthCoordString",value:function(){return"NHWC"===this.dataFormat?"coords[2]":"coords[3]"}},{key:"getDepthCoordString",value:function(){return"NHWC"===this.dataFormat?"coords[3]":"coords[1]"}},{key:"getOutputDepthSize",value:function(){return"NHWC"===this.dataFormat?this.outputShape[3]:this.outputShape[1]}},{key:"getInputSamplingString",value:function(){return"NHWC"===this.dataFormat?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"}}]),e}();var hz={kernelName:cr,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.blockSize,o=r.dataFormat,s=a.shape[0],u=("NHWC"===o?a.shape[1]:a.shape[2])*i,c=("NHWC"===o?a.shape[2]:a.shape[3])*i,l=("NHWC"===o?a.shape[3]:a.shape[1])/(i*i),h=new lz("NHWC"===o?[s,u,c,l]:[s,l,u,c],i,o);return n.runWebGLProgram(h,[a],a.dtype)}},dz=vt((function e(t){var n=arguments.length>1&&void 0!==arguments[1]&&arguments[1],r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:null,a=arguments.length>3&&void 0!==arguments[3]&&arguments[3],i=arguments.length>4&&void 0!==arguments[4]&&arguments[4];ft(this,e),this.variableNames=["x","W"],this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=t.outShape,this.enableShapeUniforms=rO(this.outputShape.length);var o=t.filterHeight,s=t.filterWidth,u=t.outChannels/t.inChannels,c="",l="";r&&(c=a?"float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          ".concat(r,"\n        }"):i?"float activation(float a) {\n          float b = getLeakyreluAlphaAtOutCoords();\n          ".concat(r,"\n        }"):"\n          float activation(float x) {\n            ".concat(r,"\n          }\n        "),l="result = activation(result);");var h=n?"result += getBiasAtOutCoords();":"";n&&this.variableNames.push("bias"),a&&this.variableNames.push("preluActivationWeights"),i&&this.variableNames.push("leakyreluAlpha"),this.userCode="\n      ".concat(c,"\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int d2 = coords.w;\n        int d1 = d2 / ").concat(u,";\n        int q = d2 - d1 * ").concat(u,";\n\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        // TO DO(dsmilkov): Flatten the two for loops and vec4 the operations.\n        for (int wR = 0; wR < ").concat(o,"; wR++) {\n          int xR = xRCorner + wR * dilations[0];\n\n          if (xR < 0 || xR >= inDims[0]) {\n            continue;\n          }\n\n          for (int wC = 0; wC < ").concat(s,"; wC++) {\n            int xC = xCCorner + wC * dilations[1];\n\n            if (xC < 0 || xC >= inDims[1]) {\n              continue;\n            }\n\n            float xVal = getX(batch, xR, xC, d1);\n            float wVal = getW(wR, wC, d1, q);\n            dotProd += xVal * wVal;\n          }\n        }\n\n        float result = dotProd;\n        ").concat(h,"\n        ").concat(l,"\n        setOutput(result);\n      }\n    ")})),fz=vt((function e(t){var n=arguments.length>1&&void 0!==arguments[1]&&arguments[1],r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:null,a=arguments.length>3&&void 0!==arguments[3]&&arguments[3],i=arguments.length>4&&void 0!==arguments[4]&&arguments[4];ft(this,e),this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=t.outShape,this.enableShapeUniforms=rO(this.outputShape.length);for(var o=t.outChannels/t.inChannels,s=t.padInfo.left,u=t.strideWidth,c=t.dilationWidth,l=t.filterHeight,h=t.filterWidth,d=h,f="\n      int xR; int xC; int xCOffset;\n      vec4 wTexel; vec4 previous; vec4 final;",p=0;p<h;p++)f+="\n          vec4 xTexelC".concat(2*p,";\n          int xTexelC").concat(2*p,"Ready;\n          vec4 xTexelC").concat(2*p+1,";\n          int xTexelC").concat(2*p+1,"Ready;\n          vec4 xC").concat(p,";");f+="\n    for (int r = 0; r < ".concat(l,"; r++) {\n      ");for(var v=0;v<h;v++)f+="\n          xTexelC".concat(2*v," = vec4(0.0);\n          xTexelC").concat(2*v,"Ready = 0;\n          xTexelC").concat(2*v+1," = vec4(0.0);\n          xTexelC").concat(2*v+1,"Ready = 0;\n          xC").concat(v," = vec4(0.0);");f+="\n        xR = xRCorner + r * dilations[0];\n        if (xR >=0 && xR < inDims[0]) {\n      ";for(var m=0;m<(d+1)/2;m++){var g=2*m;if(f+="\n          xC = xCCorner + ".concat(g*c,";\n          "),1===u){if(g<h&&(s%2===1?(f+="\n                xCOffset = xC + 1;\n                if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC".concat(g,"Ready == 0) {\n                  xTexelC").concat(g," = getX(batch, xR, xCOffset, d1);\n\n                  // Need to manually clear unused channels in case\n                  // we're reading from recycled texture.\n                  if (xCOffset + 1 >= inDims[1]) {\n                    xTexelC").concat(g,".zw = vec2(0.0);\n                  }\n                  xTexelC").concat(g,"Ready = 1;\n                }\n              "),f+=1===c&&g>0?"\n                xC".concat(g," = vec4(xTexelC").concat(g-2,".zw, xTexelC").concat(g,".xy);\n                "):"\n                  xCOffset = xC + 1 - 2;\n\n                  if (xCOffset >= 0 && xCOffset < inDims[1]) {\n                    previous = getX(batch, xR, xCOffset, d1);\n\n                    // Need to manually clear unused channels in case\n                    // we're reading from recycled texture.\n                    if (xCOffset + 1 >= inDims[1]) {\n                      previous.zw = vec2(0.0);\n                    }\n\n                    xC".concat(g," = vec4(previous.zw, xTexelC").concat(g,".xy);\n                  } else {\n                    xC").concat(g," = vec4(0.0, 0.0, xTexelC").concat(g,".xy);\n                  }\n                  ")):f+="\n                if (xC >= 0 && xC < inDims[1] && xTexelC".concat(g,"Ready == 0) {\n                  xTexelC").concat(g," = getX(batch, xR, xC, d1);\n                  if (xC + 1 >= inDims[1]) {\n                    xTexelC").concat(g,".zw = vec2(0.0);\n                  }\n                  xTexelC").concat(g,"Ready = 1;\n                }\n\n                xC").concat(g," = xTexelC").concat(g,";\n                "),g+1<h)){var y=s%2===0?wt(c):c;c%2===0&&s%2===1||c%2!==0&&s%2!==1?(f+="\n                  xCOffset = xC + imod(pads[1], 2) + ".concat(y,";\n\n                  if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC").concat(g+1,"Ready == 0) {\n                    xTexelC").concat(g+1," = getX(batch, xR, xCOffset, d1);\n\n                    // Need to manually clear unused channels in case\n                    // we're reading from recycled texture.\n                    if (xCOffset + 1 >= inDims[1]) {\n                      xTexelC").concat(g+1,".zw = vec2(0.0);\n                    }\n                    xTexelC").concat(g+1,"Ready = 1;\n                  }\n                  "),c>1&&(f+="\n                    xCOffset -= 2;\n                    if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC".concat(g,"Ready == 0) {\n                      xTexelC").concat(g," = getX(batch, xR, xCOffset, d1);\n                      xTexelC").concat(g,"Ready = 1;\n                    }\n                    ")),f+="\n                  xC".concat(g+1," = vec4(xTexelC").concat(g,".zw, xTexelC").concat(g+1,".xy);\n                  ")):f+=1===y?"\n                    xC".concat(g+1," = xTexelC").concat(g,";\n                    "):"\n                    xCOffset = xC + ".concat(y,";\n\n                    if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC").concat(g+1,"Ready == 0) {\n                      xTexelC").concat(g+1," = getX(batch, xR, xCOffset, d1);\n                      if (xCOffset + 1 >= inDims[1]) {\n                        xTexelC").concat(g+1,".zw = vec2(0.0);\n                      }\n                      xTexelC").concat(g+1,"Ready = 1;\n                    }\n\n                    xC").concat(g+1," = xTexelC").concat(g+1,";\n                    ")}}else g<h&&(s%2===1?(f+="\n                xCOffset = xC + 1 - 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2return y.push(t),y.forEach((function(e){return r.disposeIntermediateTensorInfo(e)})),T}};var nB={kernelName:Ci,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.filter,o=t.bias,s=t.preluActivationWeights,u=r.strides,c=r.pad,l=r.dilations,h=r.dimRoundingMode,d=r.activation,f=r.leakyreluAlpha,p=[],v=l;null==v&&(v=[1,1]),Ct(ch(u,v),(function(){return"Error in depthwiseConv2d: Either strides or dilations must be "+"1. Got strides ".concat(u," and dilations '").concat(v,"'")}));var m,g=$l(a.shape,i.shape,u,v,c,h,!0),y=yn().getBool("WEBGL_PACK_DEPTHWISECONV")&&g.strideWidth<=2&&g.outChannels/g.inChannels===1,b=d?JF(d,y):null,x=[a,i],k=null!=o,w=null!=s,S="leakyrelu"===d;if(k&&x.push(o),w&&x.push(s),S){var N=n.makeTensorInfo([],"float32",ao(f,"float32"));x.push(N),p.push(N)}m=y?new fz(g,k,b,w,S):new dz(g,k,b,w,S);var I=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],T=n.runWebGLProgram(m,x,"float32",I);return p.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),T}},rB=vt((function e(t,n,r){ft(this,e),this.sliceDim=t,this.strides=n,this.variableNames=["x","indices"],this.outputShape=r;var a=YM(n.length),i=YM(r.length),o=this.sliceDim>1?"strides[j]":"strides";this.userCode="\n        ".concat(a," strides = ").concat(a,"(").concat(this.strides,");\n         void main() {\n          ").concat(i," coords = getOutputCoords();\n          int flattenIndex = 0;\n          for (int j = 0; j < ").concat(this.sliceDim,"; j++) {\n            int index = round(getIndices(coords[0], j));\n            flattenIndex += index * ").concat(o,";\n          }\n          setOutput(getX(flattenIndex, coords[1]));\n        }\n      ")}));var aB={kernelName:Mr,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.params,a=t.indices,i=a.shape,o=i[i.length-1],s=Rt(r.shape),u=G(oc(r,a),4),c=u[0],l=u[1],h=u[2],d=u[3],f=iL({inputs:{x:a},backend:n,attrs:{shape:[l,o]}}),p=iL({inputs:{x:r},backend:n,attrs:{shape:[Rt(r.shape)/h,h]}});if(n.shouldExecuteOnCPU([r,a])||"string"===r.dtype){var v=n.readSync(a.dataId),m=n.bufferSync(r),g=AO(v,m,r.dtype,l,o,h,d,r.shape,s);return n.makeTensorInfo(c,r.dtype,g.values)}var y=new rB(o,d,[l,h]),b=n.runWebGLProgram(y,[p,f],p.dtype),x=iL({input

2var c=Qm(a,i,u,s),l=Rt(i.shape),h=[],d=iL({inputs:{x:a},backend:n,attrs:{shape:[c.batchSize,c.outerSize,c.dimSize,c.sliceSize]}}),f=iL({inputs:{x:i},backend:n,attrs:{shape:[c.batchSize,l/c.batchSize]}});h.push(d),h.push(f);var p=[c.batchSize,c.outerSize,l/c.batchSize,c.sliceSize];if(n.shouldExecuteOnCPU([a,i])||"string"===a.dtype){var v=n.bufferSync(f),m=n.bufferSync(d),g=RO(m,v,p);return h.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),n.makeTensorInfo(c.outputShape,g.dtype,g.values)}var y=new iB(d.shape,p),b=n.runWebGLProgram(y,[d,f],d.dtype);h.push(b);var x=iL({inputs:{x:b},backend:n,attrs:{shape:c.outputShape}});return h.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),x}var sB={kernelName:Dr,backendName:"webgl",kernelFunc:oB},uB=QF({opSnippet:"return float(a > b);",packedOpSnippet:"\n  return vec4(greaterThan(a, b));\n",cpuKernelImpl:DO,dtype:"bool"}),cB={kernelName:Or,backendName:"webgl",kernelFunc:uB},lB=QF({opSnippet:"return float(a >= b);",packedOpSnippet:"\n  return vec4(greaterThanEqual(a, b));\n",dtype:"bool",cpuKernelImpl:MO}),hB={kernelName:Fr,backendName:"webgl",kernelFunc:lB};var dB={kernelName:Pr,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend;return Bz(t.input,!0,n)}},fB=YF({opSnippet:"return float(!isnan(x) && !isinf(x));",dtype:"bool"}),pB={kernelName:Br,backendName:"webgl",kernelFunc:fB},vB=YF({opSnippet:"return float(isinf(x));",dtype:"bool"}),mB={kernelName:Wr,backendName:"webgl",kernelFunc:vB},gB=YF({opSnippet:"return float(isnan(x));",dtype:"bool"}),yB={kernelName:Vr,backendName:"webgl",kernelFunc:gB},bB=QF({opSnippet:"return float(a < b);",packedOpSnippet:"\n  return vec4(lessThan(a, b));\n",cpuKernelImpl:OO,dtype:"bool"}),xB={kernelName:Ur,backendName:"webgl",kernelFunc:bB},kB=QF({opSnippet:"return float(a <= b);",packedOpSnippet:"\n  return vec4(lessThanEqual(a, b));\n",cpuKernelImpl:FO,dtype:"bool"}),wB={kernelName:Hr,backendName:"webgl",kernelFunc:kB};var SB={kernelName:Gr,backendName:"webgl",kernelFunc:function(e){var t=e.backend,n=e.attrs,r=n.start,a=n.stop,i=n.num,o=LO(r,a,i);return t.makeTensorInfo([o.length],"float32",o)}},NB=YF({opSnippet:"if (isnan(x)) return x;\n  return x < 0.0 ? 0./0. : log(x);\n",packedOpSnippet:"\n  vec4 result = log(x);\n  bvec4 isNaN = isnan(x);\n  result.r = isNaN.r ? x.r : (x.r < 0.0 ? 0./0. : result.r);\n  result.g = isNaN.g ? x.g : (x.g < 0.0 ? 0./0. : result.g);\n  result.b = isNaN.b ? x.b : (x.b < 0.0 ? 0./0. : result.b);\n  result.a = isNaN.a ? x.a : (x.a < 0.0 ? 0./0. : result.a);\n  return result;\n",cpuKernelImpl:PO}),IB={kernelName:qr,backendName:"webgl",kernelFunc:NB},TB=YF({opSnippet:"if (isnan(x)) return x;\n  return log(1.0 + x);\n"}),CB={kernelName:Kr,backendName:"webgl",kernelFunc:TB},EB=QF({opSnippet:"return float(a >= 1.0 && b >= 1.0);",packedOpSnippet:"\n  return vec4(\n    vec4(greaterThanEqual(a, vec4(1.0))) *\n    vec4(greaterThanEqual(b, vec4(1.0))));\n",dtype:"bool"}),_B={kernelName:Xr,backendName:"webgl",kernelFunc:EB},AB=YF({opSnippet:"return float(!(x >= 1.0));"}),RB={kernelName:Yr,backendName:"webgl",kernelFunc:AB},DB=QF({opSnippet:"return float(a >= 1.0 || b >= 1.0);",packedOpSnippet:"\n  return min(\n    vec4(greaterThanEqual(a, vec4(1.0))) +\n    vec4(greaterThanEqual(b, vec4(1.0))),\n    vec4(1.0));\n",dtype:"bool"}),MB={kernelName:Qr,backendName:"webgl",kernelFunc:DB},OB=vt((function e(t,n,r,a,i){ft(this,e),this.variableNames=["x"],this.outputShape=[];var o,s=n,u=t[3]-1;this.outputShape=t;var c="float(".concat(r,") + float(").concat(a,") * sum");o=.5===i?"inversesqrt(".concat(c,")"):1===i?"1.0/(".concat(c,")"):"exp(log(".concat(c,") * float(-").concat(i,"));"),this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n        int d = coords[3];\n        float x = getX(b, r, c, d);\n        float sum = 0.0;\n        for (int j = -".concat(s,"; j <= ").concat(s,"; j++) {\n          int idx = d + j;\n          if (idx >= 0 && idx <=  ").concat(u,") {\n            float z = getX(b, r, c, idx);\n            sum += z * z;\n          }\n        }\n        float val = x * ").concat(o,";\n        setOutput(val);\n      }\n    ")})),FB=vt((function e(t,n,r,a,i){ft(this,e),this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;var o,s=n,u=t[3]-1;this.outputShape=t;var c="float(".concat(r,") + float(").concat(a,") * sum");o=.5===i?"inversesqrt(".concat(c,")"):1===i?"1.0/(".concat(c,")"):"exp(log(".concat(c,") * float(-").concat(i,"));"),this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords.x;\n        int r = coords.y;\n        int c = coords.z;\n        int d = coords.w;\n\n        bool hasNextCol = d < ".concat(this.outputShape[3],";\n        bool hasNextRow = c < ").concat(this.outputShape[2],";\n\n        vec4 sum = vec4(0.);\n        vec4 xFragAtOutputCoords = getX(b, r, c, d);\n\n        vec4 xAtOutputCoords = vec4(\n          getChannel(xFragAtOutputCoords, vec2(c, d)),\n          hasNextCol ?\n            getChannel(xFragAtOutputCoords, vec2(c, d + 1)) : 0.0,\n          hasNextRow ?\n            getChannel(xFragAtOutputCoords , vec2(c + 1, d)) : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getChannel(xFragAtOutputCoords, vec2(c + 1, d + 1)) : 0.0\n        );\n\n        int firstChannel = d - ").concat(s,";\n        vec2 cache = vec2(0.);\n        if(firstChannel >= 0){\n          vec4 firstChannelFrag = getX(b, r, c, firstChannel);\n          cache.x = getChannel(firstChannelFrag, vec2(c, firstChannel));\n            if(hasNextRow){\n              cache.y = getChannel(firstChannelFrag, vec2(c + 1, firstChannel));\n            }\n        }

2else y=function(e,t,n,r){var a=Rt(t),i=iL({inputs:{x:e},attrs:{shape:[Rt(e.shape)/a,a]},backend:r}),o=cL(i,e.dtype,"max",r),s=iL({inputs:{x:o},attrs:{shape:n},backend:r});return r.disposeIntermediateTensorInfo(i),r.disposeIntermediateTensorInfo(o),s}(f,k,w,n);return h&&n.disposeIntermediateTensorInfo(f),y}var WB={kernelName:ea,backendName:"webgl",kernelFunc:BB},VB=QF({opSnippet:"\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return max(a, b);\n",packedOpSnippet:"\n  vec4 result = vec4(max(a, b));\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",cpuKernelImpl:BO}),jB={kernelName:ta,backendName:"webgl",kernelFunc:VB};var UB={kernelName:na,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x;wM(a,"maxPool");var i=r.filterSize,o=r.strides,s=r.pad,u=r.dimRoundingMode;Ct(ch(o,1),(function(){return"Error in maxPool: Either strides or dilations must be 1. "+"Got strides ".concat(o," and dilations '").concat(1,"'")}));var c=Jl(a.shape,i,o,1,s,u);if(1===c.filterWidth&&1===c.filterHeight&&Mt(c.inShape,c.outShape))return BF({inputs:{x:a},backend:n});var l=new QL(c,"max",!1);return n.runWebGLProgram(l,[a],a.dtype)}};var HB={kernelName:aa,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.filterSize,o=r.strides,s=r.pad,u=r.dataFormat,c=r.dimRoundingMode,l=Zl(a.shape,i,o,[1,1,1],s,c,u),h=new JL(l,"max",!1);return n.runWebGLProgram(h,[a],a.dtype)}},GB=vt((function e(t){ft(this,e),this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;var n=t.strideHeight,r=t.strideWidth,a=t.dilationHeight,i=t.effectiveFilterHeight,o=t.effectiveFilterWidth,s=i-1-t.padInfo.top,u=o-1-t.padInfo.left,c=i*o-1;this.userCode="\n      const ivec2 pads = ivec2(".concat(s,", ").concat(u,");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < ").concat(i,";\n          wR += ").concat(a,") {\n          float dyR = float(dyRCorner + wR) / ").concat(n,".0;\n\n          if (dyR < 0.0 || dyR >= ").concat(t.outHeight,".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < ").concat(o,"; wC++) {\n            float dyC = float(dyCCorner + wC) / ").concat(r,".0;\n\n            if (dyC < 0.0 || dyC >= ").concat(t.outWidth,".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n            int maxPosValue = ").concat(c," - int(getMaxPos(b, idyR, idyC, d));\n\n            // Get the current value, check it against the value from the\n            // position matrix.\n            int curPosValue = wR * ").concat(o," + wC;\n            float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n            dotProd += dyValue * mask;\n          }\n        }\n        setOutput(dotProd);\n      }\n    ")})),qB=vt((function e(t){ft(this,e),this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;var n=t.strideDepth,r=t.strideHeight,a=t.strideWidth,i=t.dilationDepth,o=t.dilationHeight,s=t.dilationWidth,u=t.effectiveFilterDepth,c=t.effectiveFilterHeight,l=t.effectiveFilterWidth,h=u-1-t.padInfo.front,d=c-1-t.padInfo.top,f=l-1-t.padInfo.left,p=u*c*l-1;this.userCode="\n      const ivec3 pads = ivec3(".concat(h,", ").concat(d,", ").concat(f,");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyDCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        // Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get\n        // dx(x

2s,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.keepDims,s=a.shape.length,u=Vt(i,a.shape),c=u,l=Md(c,s),h=a;null!=l&&(h=vL({inputs:{x:a},backend:n,attrs:{perm:l}}),c=Fd(c.length,a.shape.length)),Dd("min",c,s);var d,f=G(Ad(h.shape,c),2),p=f[0],v=iL({inputs:{x:h},backend:n,attrs:{shape:[-1,Rt(f[1])]}}),m=cL(v,v.dtype,"min",n);return d=iL(o?{inputs:{x:m},backend:n,attrs:{shape:Rd(p,u)}}:{inputs:{x:m},backend:n,attrs:{shape:p}}),n.disposeIntermediateTensorInfo(v),n.disposeIntermediateTensorInfo(m),null!=l&&n.disposeIntermediateTensorInfo(h),d}},ZB=QF({opSnippet:"\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return min(a, b);\n",packedOpSnippet:"\n  vec4 result = vec4(min(a, b));\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? 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start;\n          result[").concat(v,"] = getChannel(getX(").concat(c.join(),"), ").concat(h,");\n        }\n      ");p+=1===a?"} ":"}}",this.userCode="\n      const ".concat(i," start = ").concat(i,"(").concat(o,");\n      const ").concat(i," end = ").concat(i,"(").concat(s,");\n\n      void main() {\n        ").concat(i," outputLoc = getOutputCoords();\n        vec4 result = vec4(0.);\n        ").concat(p,"\n        setOutput(result);\n      }\n    ")})),_W=function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.paddings,o=r.constantValue;if(0===Rt(a.shape)){var s=i.map((function(e,t){return e[0]+a.shape[t]+e[1]}));return jz({backend:n,attrs:{shape:s,value:o,dtype:a.dtype}})}var u=yn().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new EW(a.shape,i,o):new CW(a.shape,i,o),c=[[o]];return n.runWebGLProgram(u,[a],a.dtype,c)},AW={kernelName:wa,backendName:"webgl",kernelFunc:_W},RW=QF({opSnippet:"\n  if(a < 0.0 && floor(b) < b){\n    return NAN;\n  }\n  if (b == 0.0) {\n    return 1.0;\n  }\n  return (round(mod(b, 2.0)) != 1) ?\n      pow(abs(a), b) : sign(a) * pow(abs(a), b);\n",packedOpSnippet:"\n  // isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise.\n  vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1)));\n  vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1);\n  vec4 result = multiplier * pow(abs(a), b);\n\n  // Ensure that a^0 = 1, including 0^0 = 1 as this correspond to TF and JS\n  bvec4 isExpZero = equal(b, vec4(0.0));\n  result.r = isExpZero.r ? 1.0 : result.r;\n  result.g = isExpZero.g ? 1.0 : result.g;\n  result.b = isExpZero.b ? 1.0 : result.b;\n  result.a = isExpZero.a ? 1.0 : result.a;\n\n  vec4 isNaN = vec4(lessThan(a, vec4(0.0))) * vec4(lessThan(floor(b), b));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n"}),DW={kernelName:Na,backendName:"webgl",kernelFunc:RW};var MW={kernelName:Ta,backendName:"webgl",kernelFunc:function(e){var t,n=e.inputs,r=e.backend,a=e.attrs,i=n.x,o=a.axis,s=a.keepDims,u=i.shape.length,c=[],l=Vt(o,i.shape),h=l,d=Md(h,u),f=i;if(null!=d&&(f=vL({inputs:{x:i},backend:r,attrs:{perm:d}}),h=Fd(h.length,u),c.push(f)),Dd("prod",h,u),r.shouldExecuteOnCPU([f])){var p=r.texData.get(f.dataId).values,v=HO(f.shape,f.dtype,p,h),m=v.outVals,g=v.outShape,y=v.outDtype;t=r.makeTensorInfo(g,y,m)}else{var b=G(Ad(f.shape,h),2),x=b[0],k=Rt(b[1]),w=iL({inputs:{x:f},backend:r,attrs:{shape:[-1,k]}}),S=cL(w,Vo(i.dtype),"prod",r);t=iL({inputs:{x:S},backend:r,attrs:{shape:x}}),c.push(w),c.push(S)}if(s){c.push(t);var N=Rd(t.shape,l);t=iL({inputs:{x:t},backend:r,attrs:{shape:N}})}return c.forEach((function(e){return r.disposeIntermediateTensorInfo(e)})),t}},OW=function(e){var t=e.backend,n=e.attrs,r=n.start,a=n.stop,i=n.step,o=n.dtype,s=GO(r,a,i,o);return t.makeTensorInfo([s.length],o,s)},FW={kernelName:Ca,backendName:"webgl",kernelFunc:OW},LW=YF({opSnippet:"return 1.0 / x;"}),PW={kernelName:_a,backendName:"webgl",kernelFunc:LW},zW=YF({opSnippet:"if (isnan(x)) return x;\n  return (x < 0.0) ? 0.0 : x;\n",packedOpSnippet:"\n  vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n"}),BW={kernelName:Aa,backendName:"webgl",kernelFunc:zW},WW=YF({opSnippet:"if (isnan(x)) return x;\n  return (x < 0.0) ? 0.0 : min(6.0, x);\n",packedOpSnippet:"\n  vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n"}),VW={kernelName:La,backendName:"webgl",kernelFunc:WW},jW=vt((function e(t,n,r,a,i){ft(this,e),this.variableNames=["A"],this.outputShape=[];var o=G(t,4),s=o[0],u=o[1],c=o[2],l=o[3];this.outputShape=[s,n,r,l];var h,d=[a&&n>1?u-1:u,a&&r>1?c-1:c],f=[a&&n>1?n-1:n,a&&r>1?r-1:r];h=i?"(vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC - vec2(0.5)":"vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          ".concat(d[0]/f[0],",\n          ").concat(d[1]/f[1],");\n      const vec2 inputShapeRC = vec2(").concat(u,".0, ").concat(c,".0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = ").concat(h,";\n\n        // Compute the four integer indices.\n        ivec2 sourceFloorRC = ivec2(max(sourceFracIndexRC, vec2(0.0)));\n        ivec2 sourceCeilRC = ivec2(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);\n        float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);\n        float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);\n        float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);\n\n        vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\n\n        float top = topLeft + (topRight - topLeft) * fracRC.y;\n        float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\n        float newValue = top + (bottom - top) * fracRC.x;\n\n        setOutput(newValue);\n      }\n    ")})),UW=vt((function e(t,n,r,a,i){ft(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];var o=G(t,4),s=o[0],u=o[1],c=o[2],l=o[3];this.outputShape=[s,n,r,l];var h,d=[a&&n>1?u-1:u,a&&r>1?c-1:c],f=[a&&n>1?n-1:n,a&&r>1?r-1:r];h=i?"(vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC - vec3(0.5)":"vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode="\n      const vec3 effectiveInputOverOutputRatioRC = vec3(\n          ".concat(d[0]/f[0],",\n          ").concat(d[1]/f[1],",\n          ").concat(d[1]/f[1],");\n      const vec3 inputShapeRC = vec3(").concat(u,".0, ").concat(c,".0,\n                                     ").concat(c,".0);\n\n      float getAValue(int b, int r, int c, int d) {\n        return getChannel(getA(b, r, c, d), vec2(c, d));\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        // Calculate values for next column in yRC.z.\n        ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n        // Fractional source index.\n        vec3 sourceFracIndexRC = ").concat(h,";\n\n        // Compute the four integer indices.\n        ivec3 sourceFloorRC = ivec3(max(sourceFracIndexRC, vec3(0.0)));\n        ivec3 sourceCeilRC = ivec3(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        // Should we calculate next column and row elements in 2x2 packed cell.\n        bool hasNextCol = d < ").concat(l-1,";\n        bool hasNextRow = coords.z < ").concat(r-1,"

2;\n\n        // In parallel, construct four corners for all four components in\n        // packed 2x2 cell.\n        vec4 topLeft = vec4(\n          getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d),\n          hasNextCol ? getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n        vec4 bottomLeft = vec4(\n          getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d),\n          hasNextCol ? getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n        vec4 topRight = vec4(\n          getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d),\n          hasNextCol ? getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n        vec4 bottomRight = vec4(\n          getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d),\n          hasNextCol ? getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n        vec3 fracRC = sourceFracIndexRC - vec3(sourceFloorRC);\n\n        vec4 top = mix(topLeft, topRight, fracRC.yyzz);\n        vec4 bottom = mix(bottomLeft, bottomRight, fracRC.yyzz);\n        vec4 newValue = mix(top, bottom, fracRC.x);\n\n        setOutput(newValue);\n      }\n    

2)),a=r.join(","),i=r.slice(-2).join(",");return"getChannel(getX(".concat(a,"), vec2(").concat(i,"))")}this.userCode=1===r?"\n        void main(){\n          int rc = getOutputCoords();\n          vec4 result = vec4(0.);\n          result.r = getChannel(getX(".concat(t[0]," - rc - 1),\n            ").concat(t[0]," - rc - 1);\n          if(").concat(i,"){\n              result.g = getChannel(getX(").concat(t[0]," - (rc  + 1) - 1),\n                ").concat(t[0]," - (rc  + 1) - 1);\n          }\n          setOutput(result);\n        }\n      "):"\n        void main() {\n          ".concat(s," rc = getOutputCoords();\n          vec4 result = vec4(0.);\n          result.r = ").concat(function(e){return u(e)}(a.slice()),";\n          if(").concat(i,"){\n            result.g = ").concat(function(e){return e[r-1]="("+e[r-1]+" + 1)",u(e)}(a.slice()),";\n          }\n          if(").concat(o,") {\n            result.b = ").concat(function(e){return e[r-2]="("+e[r-2]+" + 1)",u(e)}(a.slice()),";\n            if(").concat(i,") {\n              result.a = ").concat(function(e){return e[r-1]="("+e[r-1]+" + 1)",e[r-2]="("+e[r-2]+" + 1)",u(e)}(a.slice()),";\n            }\n          }\n          setOutput(result);\n        }\n    ")}));var eV={kernelName:Pa,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.dims,o=a.shape.length,s=Vt(i,a.shape);if(0===o)return BF({inputs:{x:a},backend:n});var u=yn().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new $W(a.shape,s):new ZW(a.shape,s);return n.runWebGLProgram(u,[a],a.dtype)}},tV=vt((function e(t,n){ft(this,e),this.variableNames=["Image"],this.outputShape=[],this.customUniforms=[{name:"params",type:"vec4"}];var r=t[1],a=t[2];this.outputShape=t;var i="";i="number"===typeof n?"float outputValue = ".concat(n.toFixed(2),";"):"\n        vec3 fill = vec3(".concat(n.join(","),");\n        float outputValue = fill[coords[3]];"),this.userCode="\n        void main() {\n          ivec4 coords = getOutputCoords();\n          int x = coords[2];\n          int y = coords[1];\n          float coordXFloat = (float(x) - params[0]) * params[3] -\n            (float(y) - params[1]) * params[2];\n          float coordYFloat = (float(x) - params[0]) * params[2] +\n            (float(y) - params[1]) * params[3];

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Within each group, we compare each pair at\n         // positions i and i+inc. To decide whether an element at position i\n         // is x0 or x1, we mod it by 2 * inc, if the result is smaller than\n         // inc, it is in the first half of the group, we denote it as x0,\n         // otherwise we denote it as x1.\n         // For example, as shown in the Bitonic top K paper referenced above,\n         // Figure5(a) shows that element[1] is in the\n         // second half of the group when group size is 2, but it is in the\n         // first half of the group when group size is 4.\n\n         bool isFirstInPair = imod(elemIdx, 2 * inc) < inc;\n         int i = isFirstInPair ? elemIdx : elemIdx - inc;\n\n         int i0 = firstPass == 1 ? i : int(getIndices(batch, i));\n         int i1 = firstPass == 1 ? i + inc : int(getIndices(batch, i + inc));\n         float x0 = i0 < n ? getX(batch, i0) : negativeInf;\n         float x1 = i1 < n ? getX(batch, i1) : negativeInf;\n\n         // Denotes which direction indices are in (ascending or descending).\n         bool reverse = imod(elemIdx, 2 * dir) >= dir;\n         bool isGreater = x0 > x1 || (x0 == x1 && i1 > i0);\n         if (reverse == isGreater) { // Elements in opposite order of direction\n           int iTemp = i0;\n           i0 = i1;\n           i1 = iTemp;\n         }\n         if (isFirstInPair) {\n            setOutput(float(i0));\n         } else {\n            setOutput(float(i1));\n         }\n       }\n     "})),ZV=vt((function e(t){ft(this,e),this.variableNames=["x","indices"],this.customUniforms=[{name:"n",type:"int"},{name:"firstPass",type:"int"},{name:"k",type:"int"}],this.outputShape=t,this.userCode="\n    void main() {\n         // Takes max of indices (0, k), (1, k + 1), (2, k + 2) ...\n         ivec2 coords = getOutputCoords();\n         int batch = coords[0];\n         int elemIdx = coords[1];\n\n         // The output size is half of the previous size.\n         // If the previous sequence is | | | | _ _ _ _  | | | |  _ _ _ _ (k=4),\n         // we only need to output the indices at positions |, the indices at\