/**
 * @license
 * Copyright 2024 Google LLC. All Rights Reserved.
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 * =============================================================================
 */
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t=this;Ln(e).forEach((function(n){null!=n.disposeFunc&&n.disposeFunc(t.registry[e])}))},e.prototype.initializeBackend=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 l||"function"!=typeof r.then)return this.registry[e]=r,{success:!0,asyncInit:!1};var a=++this.pendingBackendInitId,o=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,Bn("Initialization of backend ".concat(e," failed")),Bn(n.stack||n.message)),!1}));return this.pendingBackendInit=o,{success:o,asyncInit:!0}}catch(t){return Bn("Initialization of backend ".concat(e," failed")),Bn(t.stack||t.message),{success:!1,asyncInit:!1}}},e.prototype.removeBackend=function(e){if(!(e in this.registryFactory))throw new Error("".concat(e," backend not found in 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n=this.state.tensorInfo.get(t),r=n.backend,a=this.readSync(t),o=r.refCount(t);r.disposeData(t,!0),n.backend=e,e.move(t,a,n.shape,n.dtype,o),this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack[this.state.numDataMovesStack.length-1]++},e.prototype.tidy=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}))},e.prototype.scopedRun=function(e,t,n){e();try{var r=n();return t(),r}catch(e){throw t(),e}},e.prototype.nextTensorId=function(){return e.nextTensorId++},e.prototype.nextVariableId=function(){return e.nextVariableId++},e.prototype.clone=function(e){var t=da.runKernel($e,{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 da.runKernel(ve,t,n)}}}),[],{}),t},e.prototype.runKernel=function(e,t,n){if(null==this.backendName&&this.backend,!(null!=Pn(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})},e.prototype.shouldCheckForMemLeaks=function(){return this.ENV.getBool("IS_TEST")},e.prototype.checkKernelForMemLeak=function(e,t,n){var r=this.backend.numDataIds(),a=0;n.forEach((function(e){a+="complex64"===e.dtype?3:1}));var o=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],i=r-t-a-o;if(i>0)throw new Error("Backend '".concat(this.backendName,"' has an internal memory leak ")+"(".concat(i," data ids) after running '").concat(e,"'"))},e.prototype.runKernelFunc=function(e){var t,n,r,a=this,o=[],i=this.isTapeOn(),s=this.state.numBytes,u=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0),null==this.backendName&&this.backend;var c=ua(e)?e.kernelName:null!=this.state.activeScope?this.state.activeScope.name:"";if(ua(e)){var l=e.kernelName,h=e.inputs,f=e.attrs;null==this.backendName&&this.backend;var d=Pn(l,this.backendName);g(null!=d,(function(){return"Cannot find registered kernel '".concat(l,"' for backend '").concat(a.backendName,"'")})),n=function(){var e=a.backend.numDataIds();r=d.kernelFunc({inputs:h,attrs:f,backend:a.backend});var t=Array.isArray(r)?r:[r];a.shouldCheckForMemLeaks()&&a.checkKernelForMemLeak(l,e,t);var n=t.map((function(e){return null!=e.rank?e:a.makeTensorFromTensorInfo(e)}));if(i){var s=a.getTensorsForGradient(l,h,n);o=a.saveTensorsForBackwardMode(s)}return n}}else{var p=e.forwardFunc,v=function(e){i&&(o=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,y=e.inputs,b=e.attrs,w=ua(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,y,(function(){return n()})),a.ENV.getBool("DEBUG")&&a.profiler.logKernelProfile(m),t=m.outputs):t=n()})),i&&this.addTapeNode(c,y,t,w,o,b),this.state.profiling&&this.state.activeProfile.kernels.push({name:c,bytesAdded:this.state.numBytes-s,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-u,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(y).map((function(e){return null!=y[e]?y[e].shape:null})),outputShapes:t.map((function(e){return e.shape})),kernelTimeMs:m.timeMs,extraInfo:m.extraInfo}),Array.isArray(r)?t:t[0]},e.prototype.saveTensorsForBackwardMode=function(e){var t=this,n=e.map((function(e){return t.keep(t.clone(e))}));return n},e.prototype.getTensorsForGradient=function(e,t,n){var r=On(e);if(null!=r){var a=r.inputsToSave||[],o=r.outputsToSave||[],i=void 0;r.saveAllInputs?(g(Array.isArray(t),(function(){return"saveAllInputs is true, expected inputs to be an array."})),i=Object.keys(t).map((function(e){return t[e]}))):i=a.map((function(e){return t[e]}));var s=n.filter((function(e,t){return o[t]}));return i.concat(s)}return[]},e.prototype.makeTensor=function(e,t,n,r){if(null==e)throw new Error("Values passed to engine.makeTensor() are null");n=n||"float32",r=r||this.backend;var a=e;"string"===n&&D(e[0])&&(a=e.map((function(e){return Tr(e)})));var o=r.write(a,t,n),i=new Vr(t,n,o,this.nextTensorId());if(this.trackTensor(i,r),"string"===n){var s=this.state.tensorInfo.get(o),u=T(a);this.state.numBytes+=u-s.bytes,s.bytes=u}return i},e.prototype.makeTensorFromDataId=function(e,t,n,r){var a={dataId:e,shape:t,dtype:n=n||"float32"};return this.makeTensorFromTensorInfo(a,r)},e.prototype.makeTensorFromTensorInfo=function(e,t){var n=e.dataId,r=e.shape,a=e.dtype,o=new Vr(r,a,n,this.nextTensorId());return this.trackTensor(o,t),o},e.prototype.makeVariable=function(e,t,n,r){void 0===t&&(t=!0),n=n||this.nextVariableId().toString(),null!=r&&r!==e.dtype&&(e=e.cast(r));var a=new Qr(e,t,n,this.nextTensorId());if(null!=this.state.registeredVariables[a.name])throw new Error("Variable with name ".concat(a.name," was already registered"));return this.state.registeredVariables[a.name]=a,this.incRef(a,this.backend),a},e.prototype.trackTensor=function(e,t){this.state.numTensors++,"string"===e.dtype&&this.state.numStringTensors++;var n=0;"complex64"!==e.dtype&&"string"!==e.dtype&&(n=e.size*M(e.dtype)),this.state.numBytes+=n,this.state.tensorInfo.has(e.dataId)||(this.state.numDataBuffers++,this.state.tensorInfo.set(e.dataId,{backend:t||this.backend,dtype:e.dtype,shape:e.shape,bytes:n})),e instanceof Qr||this.track(e)},e.prototype.incRef=function(e,t){this.trackTensor(e,t),this.backend.incRef(e.dataId)},e.prototype.removeDataId=function(e,t){this.state.tensorInfo.has(e)&&this.state.tensorInfo.get(e).backend===t&&(this.state.tensorInfo.delete(e),this.state.numDataBuffers--)},e.prototype.disposeTensor=function(e){if(this.state.tensorInfo.has(e.dataId)){var t=this.state.tensorInfo.get(e.dataId);if(this.state.numTensors--,"string"===e.dtype&&(this.state.numStringTensors--,this.state.numBytes-=t.bytes),"complex64"!==e.dtype&&"string"!==e.dtype){var n=e.size*M(e.dtype);this.state.numBytes-=n}t.backend.disposeData(e.dataId)&&this.removeDataId(e.dataId,t.backend)}},e.prototype.disposeVariables=function(){for(var e in this.state.registeredVariables){var t=this.state.registeredVariables[e];this.disposeVariable(t)}},e.prototype.disposeVariable=function(e){this.disposeTensor(e),null!=this.state.registeredVariables[e.name]&&delete this.state.registeredVariables[e.name]},e.prototype.memory=function(){var e=this.backend.memory();return e.numTensors=this.state.numTensors,e.numDataBuffers=this.state.numDataBuffers,e.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(e.unreliable=!0,null==e.reasons&&(e.reasons=[]),e.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),e},e.prototype.profile=function(e){return a(this,void 0,void 0,(function(){var t,n,r,a,c,l,h,f,d,p,g;return o(this,(function(o){switch(o.label){case 0:return this.state.profiling=!0,t=this.state.numBytes,n=this.state.numTensors,this.state.activeProfile.kernels=[],r=this.state.activeProfile,[4,e()];case 1:r.result=o.sent(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max.apply(Math,u([],s(this.state.activeProfile.kernels.map((function(e){return e.totalBytesSnapshot}))),!1)),this.state.activeProfile.newBytes=this.state.numBytes-t,this.state.activeProfile.newTensors=this.state.numTensors-n,o.label=2;case 2:o.trys.push([2,8,9,10]),a=i(this.state.activeProfile.kernels),c=a.next(),o.label=3;case 3:return c.done?[3,7]:(l=c.value,h=l,[4,l.kernelTimeMs]);case 4:return h.kernelTimeMs=o.sent(),f=l,[4,l.extraInfo];case 5:f.extraInfo=o.sent(),o.label=6;case 6:return c=a.next(),[3,3];case 7:return[3,10];case 8:return d=o.sent(),p={error:d},[3,10];case 9:try{c&&!c.done&&(g=a.return)&&g.call(a)}finally{if(p)throw p.error}return[7];case 10:return[2,this.state.activeProfile]}}))}))},e.prototype.isTapeOn=function(){return this.state.gradientDepth>0&&0===this.state.kernelDepth},e.prototype.addTapeNode=function(e,t,n,r,a,o){var i=this,s={id:this.state.nextTapeNodeId++,kernelName:e,inputs:t,outputs:n,saved:a},u=On(e);null!=u&&(r=u.gradFunc),null!=r&&(s.gradient=function(e){return e=e.map((function(e,t){if(null==e){var r=n[t],a=W(r.size,r.dtype);return i.makeTensor(a,r.shape,r.dtype)}return e})),r(e.length>1?e:e[0],a,o)}),this.state.activeTape.push(s)},e.prototype.keep=function(e){return e.kept=!0,e},e.prototype.startTape=function(){0===this.state.gradientDepth&&(this.state.activeTape=[]),this.state.gradientDepth++},e.prototype.endTape=function(){this.state.gradientDepth--},e.prototype.startScope=function(e){var t={track:[],name:"unnamed scope",id:this.state.nextScopeId++};e&&(t.name=e),this.state.scopeStack.push(t),this.state.activeScope=t},e.prototype.endScope=function(e){for(var t=this,n=oa(e),r=new Set(n.map((function(e){return e.id}))),a=0;a<this.state.activeScope.track.length;a++){var o=this.state.activeScope.track[a];o.kept||r.has(o.id)||o.dispose()}var i=this.state.scopeStack.pop();this.state.activeScope=0===this.state.scopeStack.length?null:this.state.scopeStack[this.state.scopeStack.length-1],n.forEach((function(e){e.kept||e.scopeId!==i.id||t.track(e)}))},e.prototype.gradients=function(e,t,n,r){var a=this;if(void 0===r&&(r=!1),g(t.length>0,(function(){return"gradients() received an empty list of xs."})),null!=n&&"float32"!==n.dtype)throw new Error("dy must have 'float32' dtype, but has '".concat(n.dtype,"'"));var o=this.scopedRun((function(){return a.startTape()}),(function(){return a.endTape()}),(function(){return a.tidy("forward",e)}));g(o instanceof Vr,(function(){return"The result y returned by f() must be a tensor."}));var s=function(e,t,n){for(var r={},a={},o=0;o<t.length;o++)r[t[o].id]=!0;for(o=0;o<e.length;o++){var i=(p=e[o]).inputs;for(var s in i){for(var u=i[s],c=!1,l=0;l<t.length;l++)if(r[u.id]){p.outputs.forEach((function(e){return r[e.id]=!0})),c=!0,a[p.id]=!0;break}if(c)break}}var h={};h[n.id]=!0;var f={};for(o=e.length-1;o>=0;o--)for(i=(p=e[o]).inputs,l=0;l<p.outputs.length;l++)if(h[p.outputs[l].id]){for(var s in i)h[i[s].id]=!0,f[p.id]=!0;break}var d=[];for(o=0;o<e.length;o++){var p;if(a[(p=e[o]).id]&&f[p.id]){var g={};for(var s in p.inputs){var v=p.inputs[s];r[v.id]&&(g[s]=v)}var m=Object.assign({},p);m.inputs=g,m.outputs=p.outputs,d.push(m)}}return d}(this.state.activeTape,t,o);if(!r&&0===s.length&&t.length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.");return this.tidy("backward",(function(){var e,r,u={};u[o.id]=null==n?(e=o.shape,r=U(y(e),"float32"),da.makeTensor(r,e,"float32")):n,function(e,t,n,r){for(var a=function(a){var o=t[a],i=[];if(o.outputs.forEach((function(t){var n=e[t.id];null!=n?i.push(n):i.push(null)})),null==o.gradient)throw new Error("Cannot compute gradient: gradient function not found "+"for ".concat(o.kernelName,"."));var s=o.gradient(i),u=function(t){if(!(t in s))throw new Error("Cannot backprop through input ".concat(t,". ")+"Available gradients found: ".concat(Object.keys(s),"."));var a=n((function(){return s[t]()}));if("float32"!==a.dtype)throw new Error("Error in gradient for op ".concat(o.kernelName,". The gradient of input ")+"".concat(t," must have 'float32' dtype, but has '").concat(a.dtype,"'"));var i=o.inputs[t];if(!w(a.shape,i.shape))throw new Error("Error in gradient for op ".concat(o.kernelName,". The gradient of input ")+"'".concat(t,"' has shape '").concat(a.shape,"', which does not match ")+"the shape of the input '".concat(i.shape,"'"));if(null==e[i.id])e[i.id]=a;else{var u=e[i.id];e[i.id]=r(u,a),u.dispose()}};for(var c in o.inputs)u(c)},o=t.length-1;o>=0;o--)a(o)}(u,s,(function(e){return a.tidy(e)}),pa);var c=t.map((function(e){return u[e.id]}));return 0===a.state.gradientDepth&&(a.state.activeTape.forEach((function(e){var t,n;try{for(var r=i(e.saved),a=r.next();!a.done;a=r.next()){a.value.dispose()}}catch(e){t={error:e}}finally{try{a&&!a.done&&(n=r.return)&&n.call(r)}finally{if(t)throw t.error}}})),a.state.activeTape=null),{value:o,grads:c}}))},e.prototype.customGrad=function(e){var t=this;return g(C(e),(function(){return"The f passed in customGrad(f) must be a function."})),function(){for(var n,r=[],a=0;a<arguments.length;a++)r[a]=arguments[a];g(r.every((function(e){return e instanceof Vr})),(function(){return"The args passed in customGrad(f)(x1, x2,...) must all be tensors"}));var o={};r.forEach((function(e,t){o[t]=e}));var i=function(t,a){return g((n=e.apply(void 0,u([],s(u(u([],s(r),!1),[a],!1)),!1))).value instanceof Vr,(function(){return"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor"})),g(C(n.gradFunc),(function(){return"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function."})),n.value},c=function(e,t){var a=n.gradFunc(e,t),o=Array.isArray(a)?a:[a];g(o.length===r.length,(function(){return"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns the same number of tensors as inputs passed to f(...)."})),g(o.every((function(e){return e instanceof Vr})),(function(){return"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors."}));var i={};return o.forEach((function(e,t){i[t]=function(){return e}})),i};return t.runKernelFunc({forwardFunc:i,backwardsFunc:c,inputs:o})}},e.prototype.readSync=function(e){return this.state.tensorInfo.get(e).backend.readSync(e)},e.prototype.read=function(e){return this.state.tensorInfo.get(e).backend.read(e)},e.prototype.readToGPU=function(e,t){return this.state.tensorInfo.get(e).backend.readToGPU(e,t)},e.prototype.time=function(e){return a(this,void 0,void 0,(function(){var t,n;return o(this,(function(r){switch(r.label){case 0:return t=Mr(),[4,this.backend.time(e)];case 1:return(n=r.sent()).wallMs=Mr()-t,[2,n]}}))}))},e.prototype.track=function(e){return null!=this.state.activeScope&&(e.scopeId=this.state.activeScope.id,this.state.activeScope.track.push(e)),e},Object.defineProperty(e.prototype,"registeredVariables",{get:function(){return this.state.registeredVariables},enumerable:!1,configurable:!0}),e.prototype.reset=function(){for(var e in this.pendingBackendInitId++,this.state.dispose(),this.ENV.reset(),this.state=new 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v=((f=Math.ceil(t/a))-1)*a+s-t,m=((d=Math.ceil(n/o))-1)*o+u-n,y=((p=Math.ceil(r/i))-1)*i+c-r,b=Math.floor(v/2),w=v-b,k=Math.floor(m/2),x=m-k,E=Math.floor(y/2);h={top:k,bottom:x,left:E,right:y-E,front:b,back:w,type:"SAME"}}return{padInfo:h,outDepth:f,outHeight:d,outWidth:p}}(a,d,p,g,S,A,_,D,R,B,u),C=F.padInfo,P=F.outDepth,O=F.outHeight,L=F.outWidth,z=o?x*v:x;return"channelsFirst"===i?m=[f,z,P,O,L]:"channelsLast"===i&&(m=[f,P,O,L,z]),{batchSize:f,dataFormat:i,inDepth:d,inHeight:p,inWidth:g,inChannels:v,outDepth:P,outHeight:O,outWidth:L,outChannels:z,padInfo:C,strideDepth:S,strideHeight:A,strideWidth:_,filterDepth:b,filterHeight:w,filterWidth:k,effectiveFilterDepth:D,effectiveFilterHeight:R,effectiveFilterWidth:B,dilationDepth:N,dilationHeight:M,dilationWidth:T,inShape:e,outShape:m,filterShape:t}}function Yo(e,t,n,r){void 0===r&&(r=1);var a=$o(t,r);return Math.floor((e[0]*(n-1)-n+a)/2)}function Xo(e){return"number"==typeof e?[e,e,e]:2===e.length?[e[0],e[1],1]:e}function 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Error("Error in ".concat(e,": Unknown padding parameter: ").concat(t));t.forEach((function(t){t.forEach((function(t){g(k(t),(function(){return"Error in ".concat(e,": pad must be an integer when using ")+"dimRoundingMode ".concat(n," but got pad ").concat(t,".")}))}))}))}}}var ii=Sa({reshape_:function(e,t){var n={x:ka(e,"x","reshape","string_or_numeric")},r={shape:t};return da.runKernel(zt,n,r)}});var si=Sa({avgPool_:function(e,t,n,r,a){var o=ka(e,"x","avgPool","float32");g(ni(n,1),(function(){return"Error in avgPool: Either strides or dilations must be 1. 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i=ka(e,"forgetBias","basicLSTMCell"),s=ka(t,"lstmKernel","basicLSTMCell"),u=ka(n,"lstmBias","basicLSTMCell"),c=ka(r,"data","basicLSTMCell"),l=ka(a,"c","basicLSTMCell"),h=ka(o,"h","basicLSTMCell"),f=ci([c,h],1),d=li(f,s),p=To(d,u),g=p.shape[0],v=p.shape[1]/4,m=[g,v],y=fi(p,[0,0],m),b=fi(p,[0,v],m),w=fi(p,[0,2*v],m),k=fi(p,[0,3*v],m),x=To(Bo(hi(y),di(b)),Bo(l,hi(To(i,w))));return[x,Bo(di(x),hi(k))]}});var gi=Sa({batchToSpaceND_:function(e,t,n){var r=ka(e,"x","batchToSpaceND"),a=t.reduce((function(e,t){return e*t}));g(r.rank>=1+t.length,(function(){return"input rank is ".concat(r.rank," but should be > than blockShape.length ").concat(t.length)})),g(n.length===t.length,(function(){return"crops.length is ".concat(n.length," but should be equal to blockShape.length  ").concat(t.length)})),g(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 o={x:r},i={blockShape:t,crops:n};return da.runKernel(fe,o,i)}});var vi=Sa({batchNorm_:function(e,t,n,r,a,o){null==o&&(o=.001);var i,s,u=ka(e,"x","batchNorm"),c=ka(t,"mean","batchNorm"),l=ka(n,"variance","batchNorm");null!=a&&(i=ka(a,"scale","batchNorm")),null!=r&&(s=ka(r,"offset","batchNorm")),g(c.rank===l.rank,(function(){return"Batch normalization gradient requires mean and variance to have equal ranks."})),g(null==s||c.rank===s.rank,(function(){return"Batch normalization gradient requires mean and offset to have equal ranks."})),g(null==i||c.rank===i.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?ii(e,[1,1,1,e.size]):2===e.rank?ii(e,[1,1,e.shape[0],e.shape[1]]):3===e.rank?ii(e,[1,e.shape[0],e.shape[1],e.shape[2]]):e}(u),f={x:h,scale:i,offset:s,mean:c,variance:l},d={varianceEpsilon:o},p=da.runKernel(Je,f,d);return ii(p,u.shape)}});var mi=Sa({batchNorm2d_:function(e,t,n,r,a,o){var i,s,u=ka(e,"x","batchNorm"),c=ka(t,"mean","batchNorm"),l=ka(n,"variance","batchNorm");return null!=a&&(i=ka(a,"scale","batchNorm")),null!=r&&(s=ka(r,"offset","batchNorm")),g(2===u.rank,(function(){return"Error in batchNorm2D: x must be rank 2 but got rank "+"".concat(u.rank,".")})),g(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,".")})),g(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!=i&&g(2===i.rank||1===i.rank,(function(){return"Error in batchNorm2D: scale must be rank 2 or rank 1 "+"but got rank ".concat(i.rank,".")})),null!=s&&g(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,".")})),vi(u,c,l,s,i,o)}});var yi=Sa({batchNorm3d_:function(e,t,n,r,a,o){var i,s,u=ka(e,"x","batchNorm"),c=ka(t,"mean","batchNorm"),l=ka(n,"variance","batchNorm");return null!=a&&(i=ka(a,"scale","batchNorm")),null!=r&&(s=ka(r,"offset","batchNorm")),g(3===u.rank,(function(){return"Error in batchNorm3D: x must be rank 3 but got rank "+"".concat(u.rank,".")})),g(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,".")})),g(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!=i&&g(3===i.rank||1===i.rank,(function(){return"Error in batchNorm3D: scale must be rank 3 or rank 1 "+"but got rank ".concat(i.rank,".")})),null!=s&&g(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,".")})),vi(u,c,l,s,i,o)}});var bi=Sa({batchNorm4d_:function(e,t,n,r,a,o){var i,s,u=ka(e,"x","batchNorm"),c=ka(t,"mean","batchNorm"),l=ka(n,"variance","batchNorm");return null!=a&&(i=ka(a,"scale","batchNorm")),null!=r&&(s=ka(r,"offset","batchNorm")),g(4===u.rank,(function(){return"Error in batchNorm4D: x must be rank 4 but got rank "+"".concat(u.rank,".")})),g(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,".")})),g(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!=i&&g(4===i.rank||1===i.rank,(function(){return"Error in batchNorm4D: scale must be rank 4 or rank 1 "+"but got rank ".concat(i.rank,".")})),null!=s&&g(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,".")})),vi(u,c,l,s,i,o)}});var wi=Sa({bincount_:function(e,t,n){var r=ka(e,"x","bincount"),a=ka(t,"weights","bincount");g("int32"===r.dtype,(function(){return"Error in bincount: input "+"dtype must be int32, but got ".concat(r.dtype)})),g(n>=0,(function(){return"size must be non-negative, but got ".concat(n,".")})),g(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 o={x:r,weights:a},i={size:n};return da.runKernel(de,o,i)}});var ki=Sa({bitwiseAnd_:function(e,t){var n=ka(e,"x","bitwiseAnd"),r=ka(t,"y","bitwiseAnd");if(!w(n.shape,r.shape))throw new Error("BitwiseAnd: Tensors must have the same shape. x: ".concat(n.shape,", y: ").concat(r.shape));if("int32"!==n.dtype||"int32"!==r.dtype)throw new Error("BitwiseAnd: Only supports 'int32' values in tensor, found type of x: ".concat(n.dtype," and type of y: ").concat(r.dtype));var a={a:n,b:r};return da.runKernel(pe,a)}});var xi=Sa({broadcastArgs_:function(e,t){var n=ka(e,"s0","broadcastArgs","int32"),r=ka(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 da.runKernel(ge,a)}});var Ei=Sa({broadcastTo_:function(e,t){var n=ka(e,"broadcastTo","x"),r=n.shape;if(G(t),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=ii(n,a)}for(var o=n.shape,i=Array.from(t),s=t.length-1;s>=0;s--)if(o[s]===t[s])i[s]=1;else if(1!==n.shape[s])throw new Error("broadcastTo(): [".concat(r,"] cannot be broadcast to [").concat(t,"]."));var u=i.map((function(e,t){return e>1?t:-1})).filter((function(e){return e>=0}));if(0===u.length)return No(n);var c={x:n},l={reps:i};return da.runKernel(bn,c,l)}});var Si=Sa({ceil_:function(e){var t={x:ka(e,"x","ceil","float32")};return da.runKernel(me,t)}});function Ai(e,t,n){G(e);var r={shape:e,value:t,dtype:n=n||F(t)};return da.runKernel(Ke,{},r)}var _i=Sa({clipByValue_:function(e,t,n){var r=ka(e,"x","clipByValue");if(g(t<=n,(function(){return"Error in clip: min (".concat(t,") must be ")+"less than or equal to max (".concat(n,").")})),t===n)return Ai(r.shape,t,r.dtype);var a={x:r},o={clipValueMin:t,clipValueMax:n};return da.runKernel(ye,a,o)}});var Ii=Sa({concat1d_:function(e){return ci(e,0)}});var Ni=Sa({concat2d_:function(e,t){return ci(e,t)}});var Mi=Sa({concat3d_:function(e,t){return ci(e,t)}});var Ti=Sa({concat4d_:function(e,t){return ci(e,t)}});var Di=Sa({conv2d_:function(e,t,n,r,a,o,i){void 0===a&&(a="NHWC"),void 0===o&&(o=[1,1]);var s=ka(e,"x","conv2d","float32"),u=ka(t,"filter","conv2d","float32"),c=s,l=!1;3===s.rank&&(l=!0,c=ii(s,[1,s.shape[0],s.shape[1],s.shape[2]])),g(4===c.rank,(function(){return"Error in conv2d: input must be rank 4, but got rank ".concat(c.rank,".")})),g(4===u.rank,(function(){return"Error in conv2d: filter must be rank 4, but got rank "+"".concat(u.rank,".")})),oi("conv2d",r,i);var h="NHWC"===a?c.shape[3]:c.shape[1];g(h===u.shape[2],(function(){return"Error in conv2d: depth of input (".concat(h,") must match ")+"input depth for filter ".concat(u.shape[2],".")})),g(ni(n,o),(function(){return"Error in conv2D: Either strides or dilations must be 1. 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Math.floor(Math.pow(2,Math.ceil(Math.log(e)/Math.log(2))))}function hl(e,t,n){for(var r=1-e%2,a=new Float32Array(e),o=0;o<e;++o){var i=2*Math.PI*o/(e+r-1);a[o]=t-n*Math.cos(i)}return Gc(a,"float32")}var fl=function(e,t,n){return void 0===n&&(n=1),a(this,void 0,void 0,(function(){var r,a,i,u,c,l,h,f,d,p,m,y,b,w;return o(this,(function(o){switch(o.label){case 0:return r=ka(e,"predictions","inTopK"),a=ka(t,"targets","inTopK"),g(r.rank>1,(function(){return"inTopK() expects the predictions to be of rank 2 or higher, "+"but got ".concat(r.rank)})),g(r.rank-1===a.rank,(function(){return"predictions rank should be 1 larger than targets rank, but got predictions rank "+"".concat(r.rank," and targets rank ").concat(a.rank)})),v(r.shape.slice(0,r.shape.length-1),a.shape,"predictions's shape should be align with the targets' shape, except the last dimension."),i=r.shape[r.shape.length-1],g(n>0&&n<=i,(function(){return"'k' passed to inTopK() must be > 0 && <= the predictions last "+"dimension 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o||u?!o&&u?(n=li(p,l,!1,!1),r=li(p,i,!0,!1)):o&&!u?(n=li(l,p,!1,!0),r=li(i,p,!1,!1)):(n=li(l,p,!0,!0),r=li(p,i,!0,!0)):(n=li(p,l,!1,!0),r=li(i,p,!0,!1)),null!=c?[n,r,gl(d,p)]:[n,r]},F={a:D,b:R,bias:N,preluActivationWeights:M},C={transposeA:o,transposeB:u,activation:h,leakyreluAlpha:p};if(null==c){var P=zs((function(e,t,n){var r=da.runKernel(Tn,F,C);return n([e,t,r]),{value:ii(r,T),gradFunc:B}}));return P(D,R)}var O=zs((function(e,t,n,r){var a=da.runKernel(Tn,F,C);return r([e,t,a,n]),{value:ii(a,T),gradFunc:B}}));return O(D,R,N)}}),El={__proto__:null,conv2d:yl,depthwiseConv2d:kl,matMul:xl};var Sl=Sa({hammingWindow_:function(e){return hl(e,.54,.46)}});var Al=Sa({hannWindow_:function(e){return hl(e,.5,.5)}});var _l=Sa({frame_:function(e,t,n,r,a){void 0===r&&(r=!1),void 0===a&&(a=0);for(var o=0,i=[];o+t<=e.size;)i.push(fi(e,o,t)),o+=n;if(r)for(;o<e.size;){var s=o+t-e.size,u=ci([fi(e,o,t-s),Ai([s],a)]);i.push(u),o+=n}return 0===i.length?qc([],[0,t]):ii(ci(i),[i.length,t])}});var Il=Sa({stft_:function(e,t,n,r,a){void 0===a&&(a=Al),null==r&&(r=ll(t));var o=_l(e,t,n),i=Bo(o,a(t));return Cc(i,r)}});var Nl=Sa({cropAndResize_:function(e,t,n,r,a,o){void 0===a&&(a="bilinear"),void 0===o&&(o=0);var i=ka(e,"image","cropAndResize"),s=ka(t,"boxes","cropAndResize","float32"),u=ka(n,"boxInd","cropAndResize","int32"),c=s.shape[0];g(4===i.rank,(function(){return"Error in cropAndResize: image must be rank 4,"+"but got rank ".concat(i.rank,".")})),g(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,".")})),g(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,".")})),g(2===r.length,(function(){return"Error in cropAndResize: cropSize must be of length 2, but got "+"length ".concat(r.length,".")})),g(r[0]>=1&&r[1]>=1,(function(){return"cropSize must be atleast [1,1], but was 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t=ka(e,"image","RGBToGrayscale"),n=t.rank-1,r=t.shape[n];g(t.rank>=2,(function(){return"Error in RGBToGrayscale: images must be at least rank 2, "+"but got rank ".concat(t.rank,".")})),g(3===r,(function(){return"Error in RGBToGrayscale: last dimension of an RGB image "+"should be size 3, but got size ".concat(r,".")}));var a,o=t.dtype,i=Io(t,"float32"),s=Gc([.2989,.587,.114]);switch(t.rank){case 2:a=ns("ij,j->i",i,s);break;case 3:a=ns("ijk,k->ij",i,s);break;case 4:a=ns("ijkl,l->ijk",i,s);break;case 5:a=ns("ijklm,m->ijkl",i,s);break;case 6:a=ns("ijklmn,n->ijklm",i,s);break;default:throw new Error("Not a valid tensor rank.")}return a=ws(a,-1),Io(a,o)}});var Rl=Sa({rotateWithOffset_:function(e,t,n,r){void 0===n&&(n=0),void 0===r&&(r=.5);var a=ka(e,"image","rotateWithOffset","float32");g(4===a.rank,(function(){return"Error in rotateWithOffset: image must be rank 4,"+"but got rank ".concat(a.rank,".")}));var o={image:a},i={radians:t,fillValue:n,center:r};return da.runKernel(Mn,o,i)}});function Bl(e,t,n,r,a,o){null==r&&(r=.5),null==a&&(a=Number.NEGATIVE_INFINITY),null==o&&(o=0);var i=e.shape[0];return n=Math.min(n,i),g(0<=r&&r<=1,(function(){return"iouThreshold must be in [0, 1], but was '".concat(r,"'")})),g(2===e.rank,(function(){return"boxes must be a 2D tensor, but was of rank '".concat(e.rank,"'")})),g(4===e.shape[1],(function(){return"boxes must have 4 columns, but 2nd dimension was ".concat(e.shape[1])})),g(1===t.rank,(function(){return"scores must be a 1D tensor"})),g(t.shape[0]===i,(function(){return"scores has incompatible shape with boxes. 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0===r&&(r=e.Reduction.SUM_BY_NONZERO_WEIGHTS);var a=ka(t,"losses","computeWeightedLoss"),o=null;null!=n&&(o=ka(n,"weights","computeWeightedLoss"));var i=null==o?a:Bo(a,o);if(r===e.Reduction.NONE)return i;if(r===e.Reduction.SUM)return gs(i);if(r===e.Reduction.MEAN){if(null==o)return ru(i);var s=a.size/o.size,u=Ro(gs(i),gs(o));return s>1?Ro(u,fs(s)):u}if(r===e.Reduction.SUM_BY_NONZERO_WEIGHTS){if(null==o)return Ro(gs(i),fs(a.size));var c=Bo(o,ou(a.shape)),l=Io(gs(fu(c,fs(0))),"float32");return Ro(gs(i),l)}throw Error("Unknown reduction: ".concat(r))}});var oh=Sa({absoluteDifference_:function(t,n,r,a){void 0===a&&(a=e.Reduction.SUM_BY_NONZERO_WEIGHTS);var o=ka(t,"labels","absoluteDifference"),i=ka(n,"predictions","absoluteDifference"),s=null;null!=r&&(s=ka(r,"weights","absoluteDifference")),v(o.shape,i.shape,"Error in absoluteDifference: ");var u=Fo(Ks(o,i));return ah(u,s,a)}});var ih=Sa({cosineDistance_:function(t,n,r,a,o){void 0===o&&(o=e.Reduction.SUM_BY_NONZERO_WEIGHTS);var 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