tfjs-converter.js

/**
 * @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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Please create a TensorBuffer for the real and imaginary parts separately and call tf.complex(real, imag).");this.values=n||me(t,this.size),this.strides=xe(e)}return e.prototype.set=function(e){for(var t=this,n=[],r=1;r<arguments.length;r++)n[r-1]=arguments[r];0===n.length&&(n=[0]),ie(n.length===this.rank,(function(){return"The number of provided coordinates (".concat(n.length,") must ")+"match the rank (".concat(t.rank,")")}));var a=this.locToIndex(n);this.values[a]=e},e.prototype.get=function(){for(var e,t,n=[],r=0;r<arguments.length;r++)n[r]=arguments[r];0===n.length&&(n=[0]);var a=0;try{for(var o=l(n),s=o.next();!s.done;s=o.next()){var i=s.value;if(i<0||i>=this.shape[a]){var u="Requested out of range element at ".concat(n,". ")+"  Buffer shape=".concat(this.shape);throw new Error(u)}a++}}catch(t){e={error:t}}finally{try{s&&!s.done&&(t=o.return)&&t.call(o)}finally{if(e)throw e.error}}for(var c=n[n.length-1],p=0;p<n.length-1;++p)c+=this.strides[p]*n[p];return this.values[c]},e.prototype.locToIndex=function(e){if(0===this.rank)return 0;if(1===this.rank)return e[0];for(var t=e[e.length-1],n=0;n<e.length-1;++n)t+=this.strides[n]*e[n];return t},e.prototype.indexToLoc=function(e){if(0===this.rank)return[];if(1===this.rank)return[e];for(var t=new Array(this.shape.length),n=0;n<t.length-1;++n)t[n]=Math.floor(e/this.strides[n]),e-=t[n]*this.strides[n];return t[t.length-1]=e,t},Object.defineProperty(e.prototype,"rank",{get:function(){return this.shape.length},enumerable:!1,configurable:!0}),e.prototype.toTensor=function(){return Bt().makeTensor(this.values,this.shape,this.dtype)},e}(),Bt=null,Kt=null;var jt=function(){function e(e,t,n,r){this.kept=!1,this.isDisposedInternal=!1,this.shape=e.slice(),this.dtype=t||"float32",this.size=pe(e),this.strides=xe(e),this.dataId=n,this.id=r,this.rankType=this.rank<5?this.rank.toString():"higher"}return Object.defineProperty(e.prototype,"rank",{get:function(){return this.shape.length},enumerable:!1,configurable:!0}),e.prototype.buffer=function(){return c(this,void 0,void 0,(function(){var e;return p(this,(function(t){switch(t.label){case 0:return[4,this.data()];case 1:return e=t.sent(),[2,Kt.buffer(this.shape,this.dtype,e)]}}))}))},e.prototype.bufferSync=function(){return Kt.buffer(this.shape,this.dtype,this.dataSync())},e.prototype.array=function(){return c(this,void 0,void 0,(function(){var e;return p(this,(function(t){switch(t.label){case 0:return[4,this.data()];case 1:return e=t.sent(),[2,we(this.shape,e,"complex64"===this.dtype)]}}))}))},e.prototype.arraySync=function(){return we(this.shape,this.dataSync(),"complex64"===this.dtype)},e.prototype.data=function(){return c(this,void 0,void 0,(function(){var e,t;return p(this,(function(n){switch(n.label){case 0:return this.throwIfDisposed(),e=Bt().read(this.dataId),"string"!==this.dtype?[3,2]:[4,e];case 1:t=n.sent();try{return[2,t.map((function(e){return Ot(e)}))]}catch(e){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}n.label=2;case 2:return[2,e]}}))}))},e.prototype.dataToGPU=function(e){return this.throwIfDisposed(),Bt().readToGPU(this.dataId,e)},e.prototype.dataSync=function(){this.throwIfDisposed();var e=Bt().readSync(this.dataId);if("string"===this.dtype)try{return e.map((function(e){return Ot(e)}))}catch(e){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}return e},e.prototype.bytes=function(){return c(this,void 0,void 0,(function(){var e;return p(this,(function(t){switch(t.label){case 0:return this.throwIfDisposed(),[4,Bt().read(this.dataId)];case 1:return e=t.sent(),"string"===this.dtype?[2,e]:[2,new Uint8Array(e.buffer)]}}))}))},e.prototype.dispose=function(){this.isDisposed||(this.kerasMask&&this.kerasMask.dispose(),Bt().disposeTensor(this),this.isDisposedInternal=!0)},Object.defineProperty(e.prototype,"isDisposed",{get:function(){return this.isDisposedInternal},enumerable:!1,configurable:!0}),e.prototype.throwIfDisposed=function(){if(this.isDisposed)throw new Error("Tensor is disposed.")},e.prototype.print=function(e){return void 0===e&&(e=!1),Kt.print(this,e)},e.prototype.clone=function(){return this.throwIfDisposed(),Kt.clone(this)},e.prototype.toString=function(e){return void 0===e&&(e=!1),Ft(this.dataSync(),this.shape,this.dtype,e)},e.prototype.cast=function(e){return this.throwIfDisposed(),Kt.cast(this,e)},e.prototype.variable=function(e,t,n){return void 0===e&&(e=!0),this.throwIfDisposed(),Bt().makeVariable(this,e,t,n)},e}();function qt(){return Re("Tensor",(function(){return jt}))}Object.defineProperty(jt,Symbol.hasInstance,{value:function(e){return!!e&&null!=e.data&&null!=e.dataSync&&null!=e.throwIfDisposed}}),qt();var Ut,Wt,Gt,Ht,Zt,Qt=function(e){function t(t,n,r,a){var o=e.call(this,t.shape,t.dtype,t.dataId,a)||this;return o.trainable=n,o.name=r,o}return u(t,e),t.prototype.assign=function(e){if(e.dtype!==this.dtype)throw new Error("dtype of the new value (".concat(e.dtype,") and ")+"previous value (".concat(this.dtype,") must match"));if(!le(e.shape,this.shape))throw new Error("shape of the new value (".concat(e.shape,") and ")+"previous value (".concat(this.shape,") must match"));Bt().disposeTensor(this),this.dataId=e.dataId,Bt().incRef(this,null)},t.prototype.dispose=function(){Bt().disposeVariable(this),this.isDisposedInternal=!0},t}(jt);Object.defineProperty(Qt,Symbol.hasInstance,{value:function(e){return e instanceof jt&&null!=e.assign&&e.assign instanceof Function}}),function(e){e.R0="R0",e.R1="R1",e.R2="R2",e.R3="R3",e.R4="R4",e.R5="R5",e.R6="R6"}(Ut||(Ut={})),function(e){e.float32="float32",e.int32="int32",e.bool="int32",e.complex64="complex64"}(Wt||(Wt={})),function(e){e.float32="float32",e.int32="int32",e.bool="bool",e.complex64="complex64"}(Gt||(Gt={})),function(e){e.float32="float32",e.int32="float32",e.bool="float32",e.complex64="complex64"}(Ht||(Ht={})),function(e){e.float32="complex64",e.int32="complex64",e.bool="complex64",e.complex64="complex64"}(Zt||(Zt={}));var Xt={float32:Ht,int32:Wt,bool:Gt,complex64:Zt};function Yt(e){return null!=e&&"object"==typeof e&&"texture"in e&&e.texture instanceof WebGLTexture}function Jt(e){return"undefined"!=typeof GPUBuffer&&null!=e&&"object"==typeof e&&"buffer"in e&&e.buffer instanceof GPUBuffer}function $t(e,t){if(e.dtype===t.dtype)return[e,t];var n=function(e,t){if("string"===e||"string"===t){if("string"===e&&"string"===t)return"string";throw new Error("Can not upcast ".concat(e," with ").concat(t))}return Xt[e][t]}(e.dtype,t.dtype);return[e.cast(n),t.cast(n)]}function en(e){var t=[];return tn(e,t,new Set),t}function tn(e,t,n){if(null!=e)if(e instanceof jt)t.push(e);else if(r=e,Array.isArray(r)||"object"==typeof r){var r,a=e;for(var o in a){var s=a[o];n.has(s)||(n.add(s),tn(s,t,n))}}}function nn(e){return null!=e.kernelName}var rn=function(){function e(){this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numStringTensors=0,this.numDataBuffers=0,this.gradientDepth=0,this.kernelDepth=0,this.scopeStack=[],this.numDataMovesStack=[],this.nextScopeId=0,this.tensorInfo=new WeakMap,this.profiling=!1,this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null,get kernelNames(){return Array.from(new Set(this.kernels.map((function(e){return e.name}))))}}}return e.prototype.dispose=function(){for(var e in this.registeredVariables)this.registeredVariables[e].dispose()},e}(),an=function(){function e(e){this.ENV=e,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new rn}return e.prototype.ready=function(){return c(this,void 0,void 0,(function(){var e,t,n;return p(this,(function(r){switch(r.label){case 0:if(null!=this.pendingBackendInit)return[2,this.pendingBackendInit.then((function(){}))];if(null!=this.backendInstance)return[2];e=this.getSortedBackends(),t=0,r.label=1;case 1:return t<e.length?(n=e[t],[4,this.initializeBackend(n).success]):[3,5];case 2:return r.sent()?[4,this.setBackend(n)]:[3,4];case 3:return r.sent(),[2];case 4:return t++,[3,1];case 5:throw new Error("Could not initialize any backends, all backend initializations failed.")}}))}))},Object.defineProperty(e.prototype,"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},enumerable:!1,configurable:!0}),e.prototype.backendNames=function(){return Object.keys(this.registryFactory)},e.prototype.findBackend=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]},e.prototype.findBackendFactory=function(e){return e in this.registryFactory?this.registryFactory[e].factory:null},e.prototype.registerBackend=function(e,t,n){return void 0===n&&(n=1),e in this.registryFactory?(Ue("".concat(e," backend was already registered. ")+"Reusing existing backend factory."),!1):(this.registryFactory[e]={factory:t,priority:n},!0)},e.prototype.setBackend=function(e){return c(this,void 0,void 0,(function(){var t,n,r;return p(this,(function(a){switch(a.label){case 0:if(null==this.registryFactory[e])throw new Error("Backend name '".concat(e,"' not found in registry"));return this.backendName=e,null!=this.registry[e]?[3,4]:(this.backendInstance=null,t=this.initializeBackend(e),n=t.success,t.asyncInit?[4,n]:[3,2]);case 1:return r=a.sent(),[3,3];case 2:r=n,a.label=3;case 3:if(!r)return[2,!1];a.label=4;case 4:return this.backendInstance=this.registry[e],this.setupRegisteredKernels(),this.profiler=new Mt(this.backendInstance),[2,!0]}}))}))},e.prototype.setupRegisteredKernels=function(){var e=this;Qe(this.backendName).forEach((function(t){null!=t.setupFunc&&t.setupFunc(e.backendInstance)}))},e.prototype.disposeRegisteredKernels=function(e){var t=this;Qe(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 oe||"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,Ue("Initialization of backend ".concat(e," failed")),Ue(n.stack||n.message)),!1}));return this.pendingBackendInit=o,{success:o,asyncInit:!0}}catch(t){return Ue("Initialization of backend ".concat(e," failed")),Ue(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 registry"));this.backendName===e&&null!=this.pendingBackendInit&&this.pendingBackendInitId++,e in this.registry&&(this.disposeRegisteredKernels(e),this.registry[e].dispose(),delete this.registry[e]),delete this.registryFactory[e],this.backendName===e&&(this.pendingBackendInit=null,this.backendName=null,this.backendInstance=null)},e.prototype.getSortedBackends=function(){var e=this;if(0===Object.keys(this.registryFactory).length)throw new Error("No backend found in registry.");return Object.keys(this.registryFactory).sort((function(t,n){return e.registryFactory[n].priority-e.registryFactory[t].priority}))},e.prototype.initializeBackendsAndReturnBest=function(){for(var e=this.getSortedBackends(),t=0;t<e.length;t++){var n=e[t],r=this.initializeBackend(n),a=r.success,o=r.asyncInit;if(o||a)return{name:n,asyncInit:o}}throw new Error("Could not initialize any backends, all backend initializations failed.")},e.prototype.moveData=function(e,t){var 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=on.runKernel(Ve,{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 on.runKernel(ze,t,n)}}}),[],{}),t},e.prototype.runKernel=function(e,t,n){if(null==this.backendName&&this.backend,!(null!=He(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],s=r-t-a-o;if(s>0)throw new Error("Backend '".concat(this.backendName,"' has an internal memory leak ")+"(".concat(s," data ids) after running '").concat(e,"'"))},e.prototype.runKernelFunc=function(e){var t,n,r,a=this,o=[],s=this.isTapeOn(),i=this.state.numBytes,u=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0),null==this.backendName&&this.backend;var c=nn(e)?e.kernelName:null!=this.state.activeScope?this.state.activeScope.name:"";if(nn(e)){var p=e.kernelName,l=e.inputs,d=e.attrs;null==this.backendName&&this.backend;var h=He(p,this.backendName);ie(null!=h,(function(){return"Cannot find registered kernel '".concat(p,"' for backend '").concat(a.backendName,"'")})),n=function(){var e=a.backend.numDataIds();r=h.kernelFunc({inputs:l,attrs:d,backend:a.backend});var t=Array.isArray(r)?r:[r];a.shouldCheckForMemLeaks()&&a.checkKernelForMemLeak(p,e,t);var n=t.map((function(e){return null!=e.rank?e:a.makeTensorFromTensorInfo(e)}));if(s){var i=a.getTensorsForGradient(p,l,n);o=a.saveTensorsForBackwardMode(i)}return n}}else{var f=e.forwardFunc,m=function(e){s&&(o=e.map((function(e){return a.keep(a.clone(e))})))};n=function(){var e=a.backend.numDataIds();r=a.tidy((function(){return f(a.backend,m)}));var t=Array.isArray(r)?r:[r];return a.shouldCheckForMemLeaks()&&a.checkKernelForMemLeak(c,e,t),t}}var y,v=e.inputs,g=e.attrs,b=nn(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?(y=a.profiler.profileKernel(c,v,(function(){return n()})),a.ENV.getBool("DEBUG")&&a.profiler.logKernelProfile(y),t=y.outputs):t=n()})),s&&this.addTapeNode(c,v,t,b,o,g),this.state.profiling&&this.state.activeProfile.kernels.push({name:c,bytesAdded:this.state.numBytes-i,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-u,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(v).map((function(e){return null!=v[e]?v[e].shape:null})),outputShapes:t.map((function(e){return e.shape})),kernelTimeMs:y.timeMs,extraInfo:y.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=Ze(e);if(null!=r){var a=r.inputsToSave||[],o=r.outputsToSave||[],s=void 0;r.saveAllInputs?(ie(Array.isArray(t),(function(){return"saveAllInputs is true, expected inputs to be an array."})),s=Object.keys(t).map((function(e){return t[e]}))):s=a.map((function(e){return t[e]}));var i=n.filter((function(e,t){return o[t]}));return s.concat(i)}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&&ve(e[0])&&(a=e.map((function(e){return t=e,void 0===n&&(n="utf-8"),n=n||"utf-8",De().platform.encode(t,n);var t,n})));var o=r.write(a,t,n),s=new jt(t,n,o,this.nextTensorId());if(this.trackTensor(s,r),"string"===n){var i=this.state.tensorInfo.get(o),u=function(e){if(null==e)return 0;var t=0;return e.forEach((function(e){return t+=e.length})),t}(a);this.state.numBytes+=u-i.bytes,i.bytes=u}return s},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 jt(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 Qt(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*ye(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 Qt||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*ye(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 c(this,void 0,void 0,(function(){var t,n,r,a,o,s,i,u,c,f,m;return p(this,(function(p){switch(p.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=p.sent(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max.apply(Math,h([],d(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,p.label=2;case 2:p.trys.push([2,8,9,10]),a=l(this.state.activeProfile.kernels),o=a.next(),p.label=3;case 3:return o.done?[3,7]:(s=o.value,i=s,[4,s.kernelTimeMs]);case 4:return i.kernelTimeMs=p.sent(),u=s,[4,s.extraInfo];case 5:u.extraInfo=p.sent(),p.label=6;case 6:return o=a.next(),[3,3];case 7:return[3,10];case 8:return c=p.sent(),f={error:c},[3,10];case 9:try{o&&!o.done&&(m=a.return)&&m.call(a)}finally{if(f)throw f.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 s=this,i={id:this.state.nextTapeNodeId++,kernelName:e,inputs:t,outputs:n,saved:a},u=Ze(e);null!=u&&(r=u.gradFunc),null!=r&&(i.gradient=function(e){return e=e.map((function(e,t){if(null==e){var r=n[t],a=Te(r.size,r.dtype);return s.makeTensor(a,r.shape,r.dtype)}return e})),r(e.length>1?e:e[0],a,o)}),this.state.activeTape.push(i)},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=en(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 s=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!==s.id||t.track(e)}))},e.prototype.gradients=function(e,t,n,r){var a=this;if(void 0===r&&(r=!1),ie(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)}));ie(o instanceof jt,(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 s=(f=e[o]).inputs;for(var i in s){for(var u=s[i],c=!1,p=0;p<t.length;p++)if(r[u.id]){f.outputs.forEach((function(e){return r[e.id]=!0})),c=!0,a[f.id]=!0;break}if(c)break}}var l={};l[n.id]=!0;var d={};for(o=e.length-1;o>=0;o--)for(s=(f=e[o]).inputs,p=0;p<f.outputs.length;p++)if(l[f.outputs[p].id]){for(var i in s)l[s[i].id]=!0,d[f.id]=!0;break}var h=[];for(o=0;o<e.length;o++){var f;if(a[(f=e[o]).id]&&d[f.id]){var m={};for(var i in f.inputs){var y=f.inputs[i];r[y.id]&&(m[i]=y)}var v=Object.assign({},f);v.inputs=m,v.outputs=f.outputs,h.push(v)}}return h}(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,i={};i[o.id]=null==n?(e=o.shape,r=ke(pe(e),"float32"),on.makeTensor(r,e,"float32")):n,function(e,t,n,r){for(var a=function(a){var o=t[a],s=[];if(o.outputs.forEach((function(t){var n=e[t.id];null!=n?s.push(n):s.push(null)})),null==o.gradient)throw new Error("Cannot compute gradient: gradient function not found "+"for ".concat(o.kernelName,"."));var i=o.gradient(s),u=function(t){if(!(t in i))throw new Error("Cannot backprop through input ".concat(t,". ")+"Available gradients found: ".concat(Object.keys(i),"."));var a=n((function(){return i[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 s=o.inputs[t];if(!le(a.shape,s.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(s.shape,"'"));if(null==e[s.id])e[s.id]=a;else{var u=e[s.id];e[s.id]=r(u,a),u.dispose()}};for(var c in o.inputs)u(c)},o=t.length-1;o>=0;o--)a(o)}(i,s,(function(e){return a.tidy(e)}),sn);var u=t.map((function(e){return i[e.id]}));return 0===a.state.gradientDepth&&(a.state.activeTape.forEach((function(e){var t,n;try{for(var r=l(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:u}}))},e.prototype.customGrad=function(e){var t=this;return ie(be(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];ie(r.every((function(e){return e instanceof jt})),(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 s=function(t,a){return ie((n=e.apply(void 0,h([],d(h(h([],d(r),!1),[a],!1)),!1))).value instanceof jt,(function(){return"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor"})),ie(be(n.gradFunc),(function(){return"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function."})),n.value},i=function(e,t){var a=n.gradFunc(e,t),o=Array.isArray(a)?a:[a];ie(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(...)."})),ie(o.every((function(e){return e instanceof jt})),(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 s={};return o.forEach((function(e,t){s[t]=function(){return e}})),s};return t.runKernelFunc({forwardFunc:s,backwardsFunc:i,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 c(this,void 0,void 0,(function(){var t,n;return p(this,(function(r){switch(r.label){case 0:return t=It(),[4,this.backend.time(e)];case 1:return(n=r.sent()).wallMs=It()-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 rn,this.registry)this.disposeRegisteredKernels(e),this.registry[e].dispose(),delete this.registry[e];this.backendName=null,this.backendInstance=null,this.pendingBackendInit=null},e}();an.nextTensorId=0,an.nextVariableId=0;var on=function(){var e=Fe();if(null==e._tfengine){var t=new Ie(e);e._tfengine=new an(t)}return function(e){Ce=e}(e._tfengine.ENV),Bt=function(){return e._tfengine},e._tfengine}();function sn(e,t){var n={a:e,b:t};return on.runKernel("Add",n)}function un(e,t){var n=e;if(At(e))return"string"===t?[]:[e.length];if(Yt(e)){var r=e.channels||"RGBA";return[e.height,e.width*r.length]}if(Jt(e))return[e.buffer.size/(null==t?4:ye(t))];if(!Array.isArray(e))return[];for(var a=[];Array.isArray(n)||At(n)&&"string"!==t;)a.push(n.length),n=n[0];return Array.isArray(e)&&De().getBool("TENSORLIKE_CHECK_SHAPE_CONSISTENCY")&&cn(e,a,[]),a}function cn(e,t,n){if(n=n||[],Array.isArray(e)||At(e)){ie(t.length>0,(function(){return"Element arr[".concat(n.join("]["),"] should be a primitive, ")+"but is an array of ".concat(e.length," elements")})),ie(e.length===t[0],(function(){return"Element arr[".concat(n.join("]["),"] should have ").concat(t[0]," ")+"elements, but has ".concat(e.length," elements")}));for(var r=t.slice(1),a=0;a<e.length;++a)cn(e[a],r,n.concat(a))}else ie(0===t.length,(function(){return"Element arr[".concat(n.join("]["),"] is a primitive, ")+"but should be an array/TypedArray of ".concat(t[0]," elements")}))}function pn(e,t,n,r){if("string_or_numeric"!==e){if(null==e)throw new Error("Expected dtype cannot be null.");if("numeric"!==e&&e!==t||"numeric"===e&&"string"===t)throw new Error("Argument '".concat(n,"' passed to '").concat(r,"' must ")+"be ".concat(e," tensor, but got ").concat(t," tensor"))}}function ln(e,t,n,r){if(void 0===r&&(r="numeric"),e instanceof qt())return pn(r,e.dtype,t,n),e;var a=ge(e);if("string"!==a&&["bool","int32","float32"].indexOf(r)>=0&&(a=r),pn(r,a,t,n),null==e||!At(e)&&!Array.isArray(e)&&"number"!=typeof e&&"boolean"!=typeof e&&"string"!=typeof e){var o=null==e?"null":e.constructor.name;throw new Error("Argument '".concat(t,"' passed to '").concat(n,"' must be a ")+"Tensor or TensorLike, but got '".concat(o,"'"))}var s=un(e,a);At(e)||Array.isArray(e)||(e=[e]);var i="string"!==a?Et(e,a):Dt(e,[],!0);return on.makeTensor(i,s,a)}function dn(e,t,n,r){if(void 0===r&&(r="numeric"),!Array.isArray(e))throw new Error("Argument ".concat(t," passed to ").concat(n," must be a ")+"`Tensor[]` or `TensorLike[]`");return e.map((function(e,a){return ln(e,"".concat(t,"[").concat(a,"]"),n,r)}))}var hn="__op";function fn(e){var t=Object.keys(e);if(1!==t.length)throw new Error("Please provide an object with a single key (operation name) mapping to a function. Got an object with "+"".concat(t.length," keys."));var n=t[0],r=e[n];n.endsWith("_")&&(n=n.substring(0,n.length-1)),n+=hn;var a=function(){for(var e=[],t=0;t<arguments.length;t++)e[t]=arguments[t];on.startScope(n);try{var a=r.apply(void 0,h([],d(e),!1));return _e(a)&&console.error("Cannot return a Promise inside of tidy."),on.endScope(a),a}catch(e){throw on.endScope(null),e}};return Object.defineProperty(a,"name",{value:n,configurable:!0}),a}var mn=fn({abs_:function(e){var t=ln(e,"x","abs");if("complex64"===t.dtype){var n={x:t};return on.runKernel("ComplexAbs",n)}return n={x:t},on.runKernel("Abs",n)}});var yn=fn({acos_:function(e){var t={x:ln(e,"x","acos")};return on.runKernel("Acos",t)}});var vn=fn({acosh_:function(e){var t={x:ln(e,"x","acosh")};return on.runKernel("Acosh",t)}});var gn=fn({add_:function(e,t){var n,r=ln(e,"a","add"),a=ln(t,"b","add"),o={a:r=(n=d($t(r,a),2))[0],b:a=n[1]};return on.runKernel("Add",o)}});var bn=fn({addN_:function(e){ie(Array.isArray(e),(function(){return"The argument passed to tf.addN() must be a list of tensors"})),ie(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 ln(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(!le(e.shape,n.shape))throw new Error("All tensors passed to tf.addN() must have the same shape")}));var r=t;return on.runKernel("AddN",r)}});var xn=fn({all_:function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r={x:ln(e,"x","all","bool")},a={axis:t,keepDims:n};return on.runKernel("All",r,a)}});var Nn=fn({any_:function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r={x:ln(e,"x","any","bool")},a={axis:t,keepDims:n};return on.runKernel("Any",r,a)}});var wn=fn({argMax_:function(e,t){void 0===t&&(t=0);var n={x:ln(e,"x","argMax")},r={axis:t};return on.runKernel("ArgMax",n,r)}});var kn=fn({argMin_:function(e,t){void 0===t&&(t=0);var n={x:ln(e,"x","argMin")},r={axis:t};return on.runKernel("ArgMin",n,r)}});var Tn=fn({asin_:function(e){var t={x:ln(e,"x","asin")};return on.runKernel("Asin",t)}});var Sn=fn({asinh_:function(e){var t={x:ln(e,"x","asinh")};return on.runKernel("Asinh",t)}});var _n=fn({atan_:function(e){var t={x:ln(e,"x","atan")};return on.runKernel("Atan",t)}});var En=fn({atan2_:function(e,t){var n,r=ln(e,"a","atan2"),a=ln(t,"b","atan2"),o={a:r=(n=d($t(r,a),2))[0],b:a=n[1]};return on.runKernel("Atan2",o)}});var In=fn({atanh_:function(e){var t={x:ln(e,"x","atanh")};return on.runKernel("Atanh",t)}});var On=fn({cast_:function(e,t){var n=ln(e,"x","cast");if(!function(e){return"bool"===e||"complex64"===e||"float32"===e||"int32"===e||"string"===e}(t))throw new Error("Failed to cast to unknown dtype ".concat(t));if("string"===t&&"string"!==n.dtype||"string"!==t&&"string"===n.dtype)throw new Error("Only strings can be casted to strings");var r={x:n},a={dtype:t};return on.runKernel(ze,r,a)}});function An(e,t,n,r,a,o,s,i){var u,c;void 0===s&&(s=!1),void 0===i&&(i="channelsLast");var p=d([-1,-1,-1,-1],4),l=p[0],h=p[1],f=p[2],m=p[3];if("channelsLast"===i)l=(u=d(e,4))[0],h=u[1],f=u[2],m=u[3];else{if("channelsFirst"!==i)throw new Error("Unknown dataFormat ".concat(i));l=(c=d(e,4))[0],m=c[1],h=c[2],f=c[3]}var y,v=d(t,4),g=v[0],b=v[1],x=v[3],N=d(Dn(n),2),w=N[0],k=N[1],T=d(Dn(r),2),S=T[0],_=T[1],E=Mn(g,S),I=Mn(b,_),O=function(e,t,n,r,a,o,s,i,u){var c,p,l;if("number"==typeof e){c={top:e,bottom:e,left:e,right:e,type:0===e?"VALID":"NUMBER"};var d=function(e,t,n,r,a){null==r&&(r=function(e,t,n,r){void 0===r&&(r=1);var a=Mn(t,r);return Math.floor((e[0]*(n-1)-n+a)/2)}(e,t,n));var o=e[0],s=e[1],i=Cn((o-t+2*r)/n+1,a),u=Cn((s-t+2*r)/n+1,a);return[i,u]}([t,n],o,r,e,i);p=d[0],l=d[1]}else if("same"===e){p=Math.ceil(t/r),l=Math.ceil(n/a);var h=Math.max(0,(p-1)*r+o-t),f=Math.max(0,(l-1)*a+s-n);c={top:m=Math.floor(h/2),bottom:y=h-m,left:v=Math.floor(f/2),right:g=f-v,type:"SAME"}}else if("valid"===e)c={top:0,bottom:0,left:0,right:0,type:"VALID"},p=Math.ceil((t-o+1)/r),l=Math.ceil((n-s+1)/a);else{if("object"!=typeof e)throw Error("Unknown padding parameter: ".concat(e));var m,y,v,g;c={top:m="channelsLast"===u?e[1][0]:e[2][0],bottom:y="channelsLast"===u?e[1][1]:e[2][1],left:v="channelsLast"===u?e[2][0]:e[3][0],right:g="channelsLast"===u?e[2][1]:e[3][1],type:0===m&&0===y&&0===v&&0===g?"VALID":"EXPLICIT"},p=Cn((t-o+m+y)/r+1,i),l=Cn((n-s+v+g)/a+1,i)}return{padInfo:c,outHeight:p,outWidth:l}}(a,h,f,w,k,E,I,o,i),A=O.padInfo,D=O.outHeight,M=O.outWidth,C=s?x*m:x;return"channelsFirst"===i?y=[l,C,D,M]:"channelsLast"===i&&(y=[l,D,M,C]),{batchSize:l,dataFormat:i,inHeight:h,inWidth:f,inChannels:m,outHeight:D,outWidth:M,outChannels:C,padInfo:A,strideHeight:w,strideWidth:k,filterHeight:g,filterWidth:b,effectiveFilterHeight:E,effectiveFilterWidth:I,dilationHeight:S,dilationWidth:_,inShape:e,outShape:y,filterShape:t}}function Dn(e){return"number"==typeof e?[e,e,e]:2===e.length?[e[0],e[1],1]:e}function Mn(e,t){return t<=1?e:e+(e-1)*(t-1)}function Cn(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 Fn(e){var t=d(Dn(e),3),n=t[0],r=t[1],a=t[2];return 1===n&&1===r&&1===a}function Rn(e,t){return Fn(e)||Fn(t)}function zn(e){return Dn(e).every((function(e){return e>0}))}function Ln(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)ie(de(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){ie(de(t),(function(){return"Error in ".concat(e,": pad must be an integer when using ")+"dimRoundingMode ".concat(n," but got pad ").concat(t,".")}))}))}))}}}var Vn=fn({reshape_:function(e,t){var n={x:ln(e,"x","reshape","string_or_numeric")},r={shape:t};return on.runKernel("Reshape",n,r)}});var Pn=fn({avgPool_:function(e,t,n,r,a){var o=ln(e,"x","avgPool","float32");ie(Rn(n,1),(function(){return"Error in avgPool: Either strides or dilations must be 1. "+"Got strides ".concat(n," and dilations '").concat(1,"'")}));var s=o,i=!1;3===o.rank&&(i=!0,s=Vn(o,[1,o.shape[0],o.shape[1],o.shape[2]])),ie(4===s.rank,(function(){return"Error in avgPool: x must be rank 4 but got rank ".concat(s.rank,".")})),Ln("avgPool",r,a);var u={x:s},c={filterSize:t,strides:n,pad:r,dimRoundingMode:a},p=on.runKernel("AvgPool",u,c);return p=On(p,o.dtype),i?Vn(p,[p.shape[1],p.shape[2],p.shape[3]]):p}});var Bn=fn({avgPool3d_:function(e,t,n,r,a,o){void 0===o&&(o="NDHWC");var s=ln(e,"x","avgPool3d","float32"),i=s,u=!1;4===s.rank&&(u=!0,i=Vn(s,[1,s.shape[0],s.shape[1],s.shape[2],s.shape[3]])),ie(5===i.rank,(function(){return"Error in avgPool3d: x must be rank 5 but got rank ".concat(i.rank,".")})),ie("NDHWC"===o,(function(){return"Error in avgPool3d: Only NDHWC is currently supported, "+"but got dataFormat of ".concat(o)})),ie("number"==typeof n&&n>0||Array.isArray(n)&&n[0]>0&&n[1]>0&&n[2]>0,(function(){return"Error in avgPool3d: Stride must be > 0, but got '".concat(n,"'")})),Ln("avgPool3d",r,a);var c={x:i},p={filterSize:t,strides:n,pad:r,dimRoundingMode:a,dataFormat:o},l=on.runKernel("AvgPool3D",c,p);return l=On(l,i.dtype),u?Vn(l,[l.shape[1],l.shape[2],l.shape[3],l.shape[4]]):l}});var Kn=fn({clone_:function(e){var t={x:ln(e,"x","clone","string_or_numeric")};return on.runKernel(Ve,t)}});var jn=fn({concat_:function(e,t){void 0===t&&(t=0),ie(e.length>=1,(function(){return"Pass at least one tensor to concat"}));var n=dn(e,"tensors","concat","string_or_numeric");if("complex64"===n[0].dtype&&n.forEach((function(e){if("complex64"!==e.dtype)throw new Error("Cannot concatenate complex64 tensors with a tensor\n          with dtype ".concat(e.dtype,". "))})),1===n.length)return Kn(n[0]);var r=n,a={axis:t};return on.runKernel("Concat",r,a)}});var qn=fn({matMul_:function(e,t,n,r){var a;void 0===n&&(n=!1),void 0===r&&(r=!1);var o=ln(e,"a","matMul"),s=ln(t,"b","matMul"),i={a:o=(a=d($t(o,s),2))[0],b:s=a[1]},u={transposeA:n,transposeB:r};return on.runKernel("BatchMatMul",i,u)}});var Un=fn({mul_:function(e,t){var n,r=ln(e,"a","mul"),a=ln(t,"b","mul"),o={a:r=(n=d($t(r,a),2))[0],b:a=n[1]};return on.runKernel("Multiply",o)}});var Wn=fn({sigmoid_:function(e){var t={x:ln(e,"x","sigmoid","float32")};return on.runKernel("Sigmoid",t)}});var Gn=fn({slice_:function(e,t,n){var r=ln(e,"x","slice","string_or_numeric");if(0===r.rank)throw new Error("Slicing scalar is not possible");var a={x:r},o={begin:t,size:n};return on.runKernel("Slice",a,o)}});var Hn=fn({tanh_:function(e){var t={x:ln(e,"x","tanh","float32")};return on.runKernel("Tanh",t)}});var Zn=fn({basicLSTMCell_:function(e,t,n,r,a,o){var s=ln(e,"forgetBias","basicLSTMCell"),i=ln(t,"lstmKernel","basicLSTMCell"),u=ln(n,"lstmBias","basicLSTMCell"),c=ln(r,"data","basicLSTMCell"),p=ln(a,"c","basicLSTMCell"),l=ln(o,"h","basicLSTMCell"),d=jn([c,l],1),h=qn(d,i),f=gn(h,u),m=f.shape[0],y=f.shape[1]/4,v=[m,y],g=Gn(f,[0,0],v),b=Gn(f,[0,y],v),x=Gn(f,[0,2*y],v),N=Gn(f,[0,3*y],v),w=gn(Un(Wn(g),Hn(b)),Un(p,Wn(gn(s,x))));return[w,Un(Hn(w),Wn(N))]}});var Qn=fn({batchToSpaceND_:function(e,t,n){var r=ln(e,"x","batchToSpaceND"),a=t.reduce((function(e,t){return e*t}));ie(r.rank>=1+t.length,(function(){return"input rank is ".concat(r.rank," but should be > than blockShape.length ").concat(t.length)})),ie(n.length===t.length,(function(){return"crops.length is ".concat(n.length," but should be equal to blockShape.length  ").concat(t.length)})),ie(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},s={blockShape:t,crops:n};return on.runKernel("BatchToSpaceND",o,s)}});var Xn=fn({batchNorm_:function(e,t,n,r,a,o){null==o&&(o=.001);var s,i,u=ln(e,"x","batchNorm"),c=ln(t,"mean","batchNorm"),p=ln(n,"variance","batchNorm");null!=a&&(s=ln(a,"scale","batchNorm")),null!=r&&(i=ln(r,"offset","batchNorm")),ie(c.rank===p.rank,(function(){return"Batch normalization gradient requires mean and variance to have equal ranks."})),ie(null==i||c.rank===i.rank,(function(){return"Batch normalization gradient requires mean and offset to have equal ranks."})),ie(null==s||c.rank===s.rank,(function(){return"Batch normalization gradient requires mean and scale to have equal ranks."}));var l=function(e){return 0===e.rank||1===e.rank?Vn(e,[1,1,1,e.size]):2===e.rank?Vn(e,[1,1,e.shape[0],e.shape[1]]):3===e.rank?Vn(e,[1,e.shape[0],e.shape[1],e.shape[2]]):e}(u),d={x:l,scale:s,offset:i,mean:c,variance:p},h={varianceEpsilon:o},f=on.runKernel("FusedBatchNorm",d,h);return Vn(f,u.shape)}});var Yn=fn({batchNorm2d_:function(e,t,n,r,a,o){var s,i,u=ln(e,"x","batchNorm"),c=ln(t,"mean","batchNorm"),p=ln(n,"variance","batchNorm");return null!=a&&(s=ln(a,"scale","batchNorm")),null!=r&&(i=ln(r,"offset","batchNorm")),ie(2===u.rank,(function(){return"Error in batchNorm2D: x must be rank 2 but got rank "+"".concat(u.rank,".")})),ie(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,".")})),ie(2===p.rank||1===p.rank,(function(){return"Error in batchNorm2D: variance must be rank 2 or rank 1 "+"but got rank ".concat(p.rank,".")})),null!=s&&ie(2===s.rank||1===s.rank,(function(){return"Error in batchNorm2D: scale must be rank 2 or rank 1 "+"but got rank ".concat(s.rank,".")})),null!=i&&ie(2===i.rank||1===i.rank,(function(){return"Error in batchNorm2D: offset must be rank 2 or rank 1 "+"but got rank ".concat(i.rank,".")})),Xn(u,c,p,i,s,o)}});var Jn=fn({batchNorm3d_:function(e,t,n,r,a,o){var s,i,u=ln(e,"x","batchNorm"),c=ln(t,"mean","batchNorm"),p=ln(n,"variance","batchNorm");return null!=a&&(s=ln(a,"scale","batchNorm")),null!=r&&(i=ln(r,"offset","batchNorm")),ie(3===u.rank,(function(){return"Error in batchNorm3D: x must be rank 3 but got rank "+"".concat(u.rank,".")})),ie(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,".")})),ie(3===p.rank||1===p.rank,(function(){return"Error in batchNorm3D: variance must be rank 3 or rank 1 "+"but got rank ".concat(p.rank,".")})),null!=s&&ie(3===s.rank||1===s.rank,(function(){return"Error in batchNorm3D: scale must be rank 3 or rank 1 "+"but got rank ".concat(s.rank,".")})),null!=i&&ie(3===i.rank||1===i.rank,(function(){return"Error in batchNorm3D: offset must be rank 3 or rank 1 "+"but got rank ".concat(i.rank,".")})),Xn(u,c,p,i,s,o)}});var $n=fn({batchNorm4d_:function(e,t,n,r,a,o){var s,i,u=ln(e,"x","batchNorm"),c=ln(t,"mean","batchNorm"),p=ln(n,"variance","batchNorm");return null!=a&&(s=ln(a,"scale","batchNorm")),null!=r&&(i=ln(r,"offset","batchNorm")),ie(4===u.rank,(function(){return"Error in batchNorm4D: x must be rank 4 but got rank "+"".concat(u.rank,".")})),ie(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,".")})),ie(4===p.rank||1===p.rank,(function(){return"Error in batchNorm4D: variance must be rank 4 or rank 1 "+"but got rank ".concat(p.rank,".")})),null!=s&&ie(4===s.rank||1===s.rank,(function(){return"Error in batchNorm4D: scale must be rank 4 or rank 1 "+"but got rank ".concat(s.rank,".")})),null!=i&&ie(4===i.rank||1===i.rank,(function(){return"Error in batchNorm4D: offset must be rank 4 or rank 1 "+"but got rank ".concat(i.rank,".")})),Xn(u,c,p,i,s,o)}});var er=fn({bincount_:function(e,t,n){var r=ln(e,"x","bincount"),a=ln(t,"weights","bincount");ie("int32"===r.dtype,(function(){return"Error in bincount: input "+"dtype must be int32, but got ".concat(r.dtype)})),ie(n>=0,(function(){return"size must be non-negative, but got ".concat(n,".")})),ie(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},s={size:n};return on.runKernel("Bincount",o,s)}});var tr=fn({bitwiseAnd_:function(e,t){var n=ln(e,"x","bitwiseAnd"),r=ln(t,"y","bitwiseAnd");if(!le(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 on.runKernel("BitwiseAnd",a)}});var nr=fn({broadcastArgs_:function(e,t){var n=ln(e,"s0","broadcastArgs","int32"),r=ln(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 on.runKernel("BroadcastArgs",a)}});var rr=fn({broadcastTo_:function(e,t){var n=ln(e,"broadcastTo","x"),r=n.shape;if(Se(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=Vn(n,a)}for(var o=n.shape,s=Array.from(t),i=t.length-1;i>=0;i--)if(o[i]===t[i])s[i]=1;else if(1!==n.shape[i])throw new Error("broadcastTo(): [".concat(r,"] cannot be broadcast to [").concat(t,"]."));var u=s.map((function(e,t){return e>1?t:-1})).filter((function(e){return e>=0}));if(0===u.length)return Kn(n);var c={x:n},p={reps:s};return on.runKernel(Pe,c,p)}});function ar(e,t,n){return void 0===t&&(t="float32"),t=t||"float32",Se(e),new Pt(e,t,n)}var or=fn({ceil_:function(e){var t={x:ln(e,"x","ceil","float32")};return on.runKernel("Ceil",t)}});function sr(e,t,n){Se(e);var r={shape:e,value:t,dtype:n=n||ge(t)};return on.runKernel("Fill",{},r)}var ir=fn({clipByValue_:function(e,t,n){var r=ln(e,"x","clipByValue");if(ie(t<=n,(function(){return"Error in clip: min (".concat(t,") must be ")+"less than or equal to max (".concat(n,").")})),t===n)return sr(r.shape,t,r.dtype);var a={x:r},o={clipValueMin:t,clipValueMax:n};return on.runKernel("ClipByValue",a,o)}});var ur=fn({complex_:function(e,t){var n=ln(e,"real","complex"),r=ln(t,"imag","complex");ue(n.shape,r.shape,"real and imag shapes, ".concat(n.shape," and ").concat(r.shape,", ")+"must match in call to tf.complex().");var a={real:n,imag:r};return on.runKernel("Complex",a)}});var cr=fn({concat1d_:function(e){return jn(e,0)}});var pr=fn({concat2d_:function(e,t){return jn(e,t)}});var lr=fn({concat3d_:function(e,t){return jn(e,t)}});var dr=fn({concat4d_:function(e,t){return jn(e,t)}});var hr=fn({conv2d_:function(e,t,n,r,a,o,s){void 0===a&&(a="NHWC"),void 0===o&&(o=[1,1]);var i=ln(e,"x","conv2d","float32"),u=ln(t,"filter","conv2d","float32"),c=i,p=!1;3===i.rank&&(p=!0,c=Vn(i,[1,i.shape[0],i.shape[1],i.shape[2]])),ie(4===c.rank,(function(){return"Error in conv2d: input must be rank 4, but got rank ".concat(c.rank,".")})),ie(4===u.rank,(function(){return"Error in conv2d: filter must be rank 4, but got rank "+"".concat(u.rank,".")})),Ln("conv2d",r,s);var l="NHWC"===a?c.shape[3]:c.shape[1];ie(l===u.shape[2],(function(){return"Error in conv2d: depth of input (".concat(l,") must match ")+"input depth for filter ".concat(u.shape[2],".")})),ie(Rn(n,o),(function(){return"Error in conv2D: Either strides or dilations must be 1. "+"Got strides ".concat(n," and dilations '").concat(o,"'")})),ie(zn(o),(function(){return"Error in conv2D: Dilated rates should be larger than 0."})),ie(zn(n),(function(){return"Error in conv2D: Strides should be larger than 0."}));var d={x:c,filter:u},h={strides:n,pad:r,dataFormat:a,dilations:o,dimRoundingMode:s},f=on.runKernel("Conv2D",d,h);return p?Vn(f,[f.shape[1],f.shape[2],f.shape[3]]):f}});var fr=fn({conv1d_:function(e,t,n,r,a,o,s){void 0===a&&(a="NWC"),void 0===o&&(o=1);var i=ln(e,"x","conv1d"),u=ln(t,"filter","conv1d"),c=i,p=!1;2===i.rank&&(p=!0,c=Vn(i,[1,i.shape[0],i.shape[1]])),ie(3===c.rank,(function(){return"Error in conv1d: input must be rank 3, but got rank ".concat(c.rank,".")})),ie(3===u.rank,(function(){return"Error in conv1d: filter must be rank 3, but got rank "+"".concat(u.rank,".")})),Ln("conv1d",r,s),ie(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],".")})),ie(Rn(n,o),(function(){return"Error in conv1D: Either stride or dilation must be 1. "+"Got stride ".concat(n," and dilation '").concat(o,"'")})),ie(zn(o),(function(){return"Error in conv1D: Dilated rates should be larger than 0."})),ie(zn(n),(function(){return"Error in conv1D: Stride should be larger than 0."})),ie("NWC"===a,(function(){return"Error in conv1d: got dataFormat of ".concat(a," but only NWC is currently supported.")}));var l=Vn(u,[1,u.shape[0],u.shape[1],u.shape[2]]),d=Vn(c,[c.shape[0],1,c.shape[1],c.shape[2]]),h=hr(d,l,[1,n],r,"NHWC",[1,o],s);return Vn(h,p?[h.shape[2],h.shape[3]]:[h.shape[0],h.shape[2],h.shape[3]])}});var mr=fn({conv2DBackpropInput_:function(e,t,n,r,a,o,s){void 0===o&&(o="NHWC"),ie(e.length===t.rank,(function(){return"Length of inShape "+"(".concat(e.length,") and rank of dy (").concat(t.rank,") must match")}));var i=e,u=t,c=!1;3===t.rank&&(c=!0,u=Vn(t,[1,t.shape[0],t.shape[1],t.shape[2]]),i=[1,e[0],e[1],e[2]]),ie(4===i.length,(function(){return"Error in conv2dDerInput: inShape must be length 4, but got length "+"".concat(i.length,".")})),ie(4===u.rank,(function(){return"Error in conv2dDerInput: dy must be rank 4, but got "+"rank ".concat(u.rank)})),ie(4===n.rank,(function(){return"Error in conv2dDerInput: filter must be rank 4, but got "+"rank ".concat(n.rank)}));var p="NHWC"===o?i[3]:i[1],l="NHWC"===o?u.shape[3]:u.shape[1];ie(p===n.shape[2],(function(){return"Error in conv2dDerInput: depth of input (".concat(p,") must ")+"match input depth for filter ".concat(n.shape[2],".")})),ie(l===n.shape[3],(function(){return"Error in conv2dDerInput: depth of output (".concat(l,") must ")+"match output depth for filter ".concat(n.shape[3],".")})),Ln("conv2dDerInput",a,s);var d={dy:u,filter:n},h={strides:r,pad:a,dataFormat:o,dimRoundingMode:s,inputShape:i},f=on.runKernel("Conv2DBackpropInput",d,h);return c?Vn(f,[f.shape[1],f.shape[2],f.shape[3]]):f}});var yr=fn({conv2dTranspose_:function(e,t,n,r,a,o){var s=ln(e,"x","conv2dTranspose"),i=ln(t,"filter","conv2dTranspose");return mr(n,s,i,r,a,"NHWC",o)}});var vr=fn({conv3d_:function(e,t,n,r,a,o){void 0===a&&(a="NDHWC"),void 0===o&&(o=[1,1,1]);var s=ln(e,"x","conv3d"),i=ln(t,"filter","conv3d"),u=s,c=!1;4===s.rank&&(c=!0,u=Vn(s,[1,s.shape[0],s.shape[1],s.shape[2],s.shape[3]])),ie(5===u.rank,(function(){return"Error in conv3d: input must be rank 5, but got rank ".concat(u.rank,".")})),ie(5===i.rank,(function(){return"Error in conv3d: filter must be rank 5, but got rank "+"".concat(i.rank,".")})),ie(u.shape[4]===i.shape[3],(function(){return"Error in conv3d: depth of input (".concat(u.shape[4],") must match ")+"input depth for filter ".concat(i.shape[3],".")})),ie(Rn(n,o),(function(){return"Error in conv3D: Either strides or dilations must be 1. "+"Got strides ".concat(n," and dilations '").concat(o,"'")})),ie("NDHWC"===a,(function(){return"Error in conv3d: got dataFormat of ".concat(a," but only NDHWC is currently supported.")})),ie(zn(o),(function(){return"Error in conv3D: Dilated rates should be larger than 0."})),ie(zn(n),(function(){return"Error in conv3D: Strides should be larger than 0."}));var p={x:u,filter:i},l={strides:n,pad:r,dataFormat:a,dilations:o},d=on.runKernel("Conv3D",p,l);return c?Vn(d,[d.shape[1],d.shape[2],d.shape[3],d.shape[4]]):d}});var gr=fn({conv3DBackpropInput_:function(e,t,n,r,a){ie(e.length===t.rank,(function(){return"Length of inShape "+"(".concat(e.length,") and rank of dy (").concat(t.rank,") must match")}));var o=e,s=t,i=!1;4===t.rank&&(i=!0,s=Vn(t,[1,t.shape[0],t.shape[1],t.shape[2],t.shape[3]]),o=[1,e[0],e[1],e[2],e[3]]);var u=o[4],c=s.shape[4];ie(5===o.length,(function(){return"Error in conv3dDerInput: inShape must be length 5, but got length "+"".concat(o.length,".")})),ie(5===s.rank,(function(){return"Error in conv3dDerInput: dy must be rank 5, but got "+"rank ".concat(s.rank)})),ie(5===n.rank,(function(){return"Error in conv3dDerInput: filter must be rank 5, but got "+"rank ".concat(n.rank)})),ie(u===n.shape[3],(function(){return"Error in conv3dDerInput: depth of input (".concat(u,") must ")+"match input depth for filter ".concat(n.shape[3],".")})),ie(c===n.shape[4],(function(){return"Error in conv3dDerInput: depth of output (".concat(c,") must ")+"match output depth for filter ".concat(n.shape[4],".")}));var p={dy:s,filter:n},l={pad:a,strides:r,inputShape:o},d=on.runKernel("Conv3DBackpropInputV2",p,l);return i?Vn(d,[d.shape[1],d.shape[2],d.shape[3],d.shape[4]]):d}});var br=fn({conv3dTranspose_:function(e,t,n,r,a){var o=ln(e,"x","conv3dTranspose"),s=ln(t,"filter","conv3dTranspose");return gr(n,o,s,r,a)}});var xr=fn({cos_:function(e){var t={x:ln(e,"x","cos","float32")};return on.runKernel("Cos",t)}});var Nr=fn({cosh_:function(e){var t={x:ln(e,"x","cosh","float32")};return on.runKernel("Cosh",t)}});var wr=fn({cumprod_:function(e,t,n,r){void 0===t&&(t=0),void 0===n&&(n=!1),void 0===r&&(r=!1);var a={x:ln(e,"x","cumprod")},o={axis:t,exclusive:n,reverse:r};return on.runKernel("Cumprod",a,o)}});var kr=fn({cumsum_:function(e,t,n,r){void 0===t&&(t=0),void 0===n&&(n=!1),void 0===r&&(r=!1);var a={x:ln(e,"x","cumsum")},o={axis:t,exclusive:n,reverse:r};return on.runKernel("Cumsum",a,o)}});var Tr=fn({denseBincount_:function(e,t,n,r){void 0===r&&(r=!1);var a=ln(e,"x","denseBincount"),o=ln(t,"weights","denseBincount");ie("int32"===a.dtype,(function(){return"Error in denseBincount: input "+"dtype must be int32, but got ".concat(a.dtype)})),ie(a.rank<=2,(function(){return"Error in denseBincount: input must be at most rank 2, but got "+"rank ".concat(a.rank,".")})),ie(n>=0,(function(){return"size must be non-negative, but got ".concat(n,".")})),ie(o.size===a.size||0===o.size,(function(){return"Error in denseBincount: weights must have the same shape as x or "+"0-length, but got x shape: ".concat(a.shape,", weights shape: ")+"".concat(o.shape,".")}));var s={x:a,weights:o},i={size:n,binaryOutput:r};return on.runKernel("DenseBincount",s,i)}});var Sr=fn({depthToSpace_:function(e,t,n){void 0===n&&(n="NHWC");var r=ln(e,"x","depthToSpace","float32"),a="NHWC"===n?r.shape[1]:r.shape[2],o="NHWC"===n?r.shape[2]:r.shape[3],s="NHWC"===n?r.shape[3]:r.shape[1];ie(t>1,(function(){return"blockSize should be > 1 for depthToSpace, but was: ".concat(t)})),ie(a*t>=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)})),ie(o*t>=0,(function(){return"Negative dimension size caused by overflow when multiplying\n    ".concat(o," and ").concat(t," for depthToSpace with input shape\n        ").concat(r.shape)})),ie(s%(t*t)==0,(function(){return"Dimension size must be evenly divisible by ".concat(t*t," but is ").concat(s," for depthToSpace with input shape ").concat(r.shape)}));var i={x:r},u={blockSize:t,dataFormat:n};return on.runKernel("DepthToSpace",i,u)}});var _r=fn({depthwiseConv2d_:function(e,t,n,r,a,o,s){void 0===a&&(a="NHWC"),void 0===o&&(o=[1,1]);var i=ln(e,"x","depthwiseConv2d","float32"),u=ln(t,"filter","depthwiseConv2d","float32"),c=i,p=!1;3===i.rank&&(p=!0,c=Vn(i,[1,i.shape[0],i.shape[1],i.shape[2]])),ie(4===c.rank,(function(){return"Error in depthwiseConv2d: input must be rank 4, but got "+"rank ".concat(c.rank,".")})),ie(4===u.rank,(function(){return"Error in depthwiseConv2d: filter must be rank 4, but got rank "+"".concat(u.rank,".")}));var l="NHWC"===a?c.shape[3]:c.shape[1];ie(l===u.shape[2],(function(){return"Error in depthwiseConv2d: number of input channels "+"(".concat(l,") must match the inChannels dimension in ")+"filter ".concat(u.shape[2],".")})),Ln("depthwiseConv2d",r,s);var d={x:c,filter:u},h={strides:n,pad:r,dataFormat:a,dilations:o,dimRoundingMode:s},f=on.runKernel("DepthwiseConv2dNative",d,h);return p?Vn(f,[f.shape[1],f.shape[2],f.shape[3]]):f}});var Er=fn({diag_:function(e){var t={x:ln(e,"x","diag")};return on.runKernel("Diag",t)}});var Ir=fn({dilation2d_:function(e,t,n,r,a,o){void 0===a&&(a=[1,1]),void 0===o&&(o="NHWC");var s=ln(e,"x","dilation2d"),i=ln(t,"filter","dilation2d");ie(3===s.rank||4===s.rank,(function(){return"Error in dilation2d: input must be rank 3 or 4, but got rank "+"".concat(s.rank,".")})),ie(3===i.rank,(function(){return"Error in dilation2d: filter must be rank 3, but got rank "+"".concat(i.rank,".")})),ie("NHWC"===o,(function(){return"Error in dilation2d: Only NHWC is currently supported, "+"but got dataFormat of ".concat(o)}));var u=s,c=!1;3===s.rank&&(u=Vn(s,[1,s.shape[0],s.shape[1],s.shape[2]]),c=!0),ie(u.shape[3]===i.shape[2],(function(){return"Error in dilation2d:  input and filter must have the same depth: ".concat(u.shape[3]," vs ").concat(i.shape[2])}));var p={x:u,filter:i},l={strides:n,pad:r,dilations:a},d=on.runKernel("Dilation2D",p,l);return c?Vn(d,[d.shape[1],d.shape[2],d.shape[3]]):d}});var Or=fn({floorDiv_:function(e,t){var n,r=ln(e,"a","floorDiv"),a=ln(t,"b","floorDiv"),o={a:r=(n=d($t(r,a),2))[0],b:a=n[1]};return on.runKernel("FloorDiv",o)}});var Ar=fn({div_:function(e,t){var n,r=ln(e,"a","div"),a=ln(t,"b","div");if(r=(n=d($t(r,a),2))[0],a=n[1],"int32"===r.dtype&&"int32"===a.dtype)return Or(r,a);var o={a:r,b:a};return on.runKernel("RealDiv",o,{})}});function Dr(e,t){for(var n=Math.max(e.length,t.length),r=new Array(n),a=0;a<n;a++){var o=e[e.length-a-1];null==o&&(o=1);var s=t[t.length-a-1];if(null==s&&(s=1),1===o)r[n-a-1]=s;else if(1===s)r[n-a-1]=o;else{if(o!==s){var i="Operands could not be broadcast together with shapes "+"".concat(e," and ").concat(t,".");throw Error(i)}r[n-a-1]=o}}return r}var Mr=fn({equal_:function(e,t){var n,r=ln(e,"a","equal","string_or_numeric"),a=ln(t,"b","equal","string_or_numeric");r=(n=d($t(r,a),2))[0],a=n[1],Dr(r.shape,a.shape);var o={a:r,b:a};return on.runKernel("Equal",o)}});var Cr=fn({where_:function(e,t,n){var r=ln(t,"a","where"),a=ln(n,"b","where"),o=ln(e,"condition","where","bool"),s=Dr(Dr(o.shape,r.shape),a.shape),i={condition:rr(o,s),t:rr(r,s),e:rr(a,s)};return on.runKernel("Select",i)}});var Fr=fn({zerosLike_:function(e){var t={x:ln(e,"x","zerosLike")};return on.runKernel("ZerosLike",t)}});var Rr=fn({divNoNan_:function(e,t){var n,r=ln(e,"a","div"),a=ln(t,"b","div");r=(n=d($t(r,a),2))[0],a=n[1];var o=Ar(r,a),s=Fr(o),i=Mr(a,s);return Cr(i,s,o)}});var zr=fn({dot_:function(e,t){var n=ln(e,"t1","dot"),r=ln(t,"t2","dot");ie(!(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],o=1===r.rank?r.size:r.shape[0];if(ie(a===o,(function(){return"Error in dot: inner dimensions of inputs must match, but got "+"".concat(a," and ").concat(o,".")})),1===n.rank&&1===r.rank){var s=Vn(n,[1,-1]),i=Vn(r,[-1,1]),u=qn(s,i);return Vn(u,[])}if(1===n.rank&&2===r.rank){s=Vn(n,[1,-1]),i=Vn(r,[r.shape[0],r.shape[1]]),u=qn(s,i);return Vn(u,[u.size])}if(2===n.rank&&1===r.rank){i=Vn(r,[-1,1]),u=qn(n,i);return Vn(u,[u.size])}return i=Vn(r,[r.shape[0],r.shape[1]]),u=qn(n,i)}});var Lr=fn({einsum_:function(e){for(var t=[],n=1;n<arguments.length;n++)t[n-1]=arguments[n];var r=t.map((function(e,t){return ln(e,"tensors".concat(t),"einsum")})),a={equation:e};return on.runKernel(Le,r,a)}});var Vr=fn({elu_:function(e){var t={x:ln(e,"x","elu","float32")};return on.runKernel("Elu",t)}});var Pr=fn({ensureShape_:function(e,t){var n=ln(e,"x","ensureShape","string_or_numeric");if(!function(e,t){if(e===t)return!0;if(null==e||null==t)return!1;if(e.length!==t.length)return!1;for(var n=0;n<e.length;n++)if(null!==e[n]&&null!==t[n]&&e[n]!==t[n])return!1;return!0}(n.shape,t))throw new Error("EnsureShape: Shape of tensor ".concat(n.shape," is not compatible with expected shape ").concat(t));return e}});var Br=fn({erf_:function(e){var t=ln(e,"x","erf");ie("int32"===t.dtype||"float32"===t.dtype,(function(){return"Input dtype must be `int32` or `float32`."})),"int32"===t.dtype&&(t=On(t,"float32"));var n={x:t};return on.runKernel("Erf",n)}});function Kr(e,t){return function(e,t,n){for(var r=e.length+t.length,a=[],o=0,s=0,i=0;i<r;i++)-1===n.indexOf(i)?a.push(e[o++]):a.push(t[s++]);return a}(e,t.map((function(e){return 1})),t)}var jr=fn({max_:function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r={x:ln(e,"x","max")},a={reductionIndices:t,keepDims:n};return on.runKernel("Max",r,a)}});var qr=fn({min_:function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r={x:ln(e,"x","min")},a={axis:t,keepDims:n};return on.runKernel("Min",r,a)}});var Ur=fn({pow_:function(e,t){var n,r=ln(e,"base","pow"),a=ln(t,"exp","pow"),o={a:r=(n=d($t(r,a),2))[0],b:a=n[1]};return on.runKernel("Pow",o)}});function Wr(e,t,n,r){if(null==r)r=ge(e);else if("complex64"===r)throw new Error("Cannot construct a complex64 tensor directly. Please use tf.complex(real, imag).");if(Jt(e)||Yt(e)){if("float32"!==r&&"int32"!==r)throw new Error("Creating tensor from GPU data only supports "+"'float32'|'int32' dtype, while the dtype is ".concat(r,"."));return on.backend.createTensorFromGPUData(e,t||n,r)}if(!At(e)&&!Array.isArray(e)&&"number"!=typeof e&&"boolean"!=typeof e&&"string"!=typeof e)throw new Error("values passed to tensor(values) must be a number/boolean/string or an array of numbers/booleans/strings, or a TypedArray");if(null!=t){Se(t);var a=pe(t),o=pe(n);ie(a===o,(function(){return"Based on the provided shape, [".concat(t,"], the tensor should have ")+"".concat(a," values but has ").concat(o)}));for(var s=0;s<n.length;++s){var i=n[s],u=s!==n.length-1||i!==pe(t.slice(s));ie(n[s]===t[s]||!u,(function(){return"Error creating a new Tensor. Inferred shape "+"(".concat(n,") does not match the provided ")+"shape (".concat(t,"). ")}))}}return At(e)||Array.isArray(e)||(e=[e]),t=t||n,e="string"!==r?Et(e,r):Dt(e,[],!0),on.makeTensor(e,t,r)}function Gr(e,t){if((At(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&&At(e)&&!(e instanceof Uint8Array))throw new Error("When making a scalar from encoded string, the value must be `Uint8Array`.");return Wr(e,[],[],t)}var Hr=fn({sqrt_:function(e){var t={x:ln(e,"x","sqrt","float32")};return on.runKernel("Sqrt",t)}});var Zr=fn({square_:function(e){var t=ln(e,"x","square");return on.runKernel("Square",{x:t},{})}});var Qr=fn({sum_:function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r=ln(e,"x","sum");"bool"===r.dtype&&(r=On(r,"int32"));var a={x:r},o={axis:t,keepDims:n};return on.runKernel("Sum",a,o)}});function Xr(e,t,n){if(void 0===n&&(n=null),0===e.rank)return mn(e);if(1!==e.rank&&null===n)return Xr(Vn(e,[-1]),t,n);if(1===e.rank||"number"==typeof n||Array.isArray(n)&&1===n.length){if(1===t)return Qr(mn(e),n);if(t===1/0)return jr(mn(e),n);if(t===-1/0)return qr(mn(e),n);if("euclidean"===t||2===t)return Hr(Qr(Ur(mn(e),Gr(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 jr(Qr(mn(e),n[0]),n[1]-1);if(t===1/0)return jr(Qr(mn(e),n[1]),n[0]);if(t===-1/0)return qr(Qr(mn(e),n[1]),n[0]);if("fro"===t||"euclidean"===t)return Hr(Qr(Zr(e),n));throw new Error("Error in norm: invalid ord value: ".concat(t))}throw new Error("Error in norm: invalid axis: ".concat(n))}var Yr=fn({norm_:function(e,t,n,r){void 0===t&&(t="euclidean"),void 0===n&&(n=null),void 0===r&&(r=!1);var a=Xr(e=ln(e,"x","norm"),t,n),o=a.shape;if(r){var s=fe(n,e.shape);o=Kr(a.shape,s)}return Vn(a,o)}});var Jr=fn({euclideanNorm_:function(e,t,n){return void 0===t&&(t=null),void 0===n&&(n=!1),Yr(e,"euclidean",t,n)}});var $r=fn({exp_:function(e){var t={x:ln(e,"x","exp")};return on.runKernel("Exp",t)}});var ea=fn({expandDims_:function(e,t){void 0===t&&(t=0);var n=ln(e,"x","expandDims","string_or_numeric");ie(t<=n.rank,(function(){return"Axis must be <= rank of the tensor"}));var r={input:n},a={dim:t};return on.runKernel("ExpandDims",r,a)}});var ta=fn({expm1_:function(e){var t={x:ln(e,"x","expm1")};return on.runKernel("Expm1",t)}});var na=fn({tile_:function(e,t){var n=ln(e,"x","tile","string_or_numeric");ie(n.rank===t.length,(function(){return"Error in transpose: rank of input ".concat(n.rank," ")+"must match length of reps ".concat(t,".")}));var r={x:n},a={reps:t};return on.runKernel(Pe,r,a)}});var ra=fn({eye_:function(e,t,n,r){void 0===r&&(r="float32"),null==t&&(t=e);for(var a=ar([e,t],r),o=e<=t?e:t,s=0;s<o;++s)a.set(1,s,s);var i=Vn(a.toTensor(),[e,t]);if(null==n)return i;if(1===n.length)return na(ea(i,0),[n[0],1,1]);if(2===n.length)return na(ea(ea(i,0),0),[n[0],n[1],1,1]);if(3===n.length)return na(ea(ea(ea(i,0),0),0),[n[0],n[1],n[2],1,1]);throw new Error("eye() currently supports only 1D and 2D "+"batchShapes, but received ".concat(n.length,"D."))}});var aa=fn({floor_:function(e){var t={x:ln(e,"x","floor","float32")};return on.runKernel("Floor",t)}});var oa=fn({gather_:function(e,t,n,r){void 0===n&&(n=0),void 0===r&&(r=0);var a={x:ln(e,"x","gather"),indices:ln(t,"indices","gather","int32")},o={axis:n,batchDims:r};return on.runKernel("GatherV2",a,o)}});var sa=fn({greater_:function(e,t){var n,r=ln(e,"a","greater","string_or_numeric"),a=ln(t,"b","greater","string_or_numeric");r=(n=d($t(r,a),2))[0],a=n[1],Dr(r.shape,a.shape);var o={a:r,b:a};return on.runKernel("Greater",o)}});var ia=fn({greaterEqual_:function(e,t){var n,r=ln(e,"a","greaterEqual","string_or_numeric"),a=ln(t,"b","greaterEqual","string_or_numeric");r=(n=d($t(r,a),2))[0],a=n[1],Dr(r.shape,a.shape);var o={a:r,b:a};return on.runKernel("GreaterEqual",o)}});var ua=fn({imag_:function(e){var t={input:ln(e,"input","imag")};return on.runKernel("Imag",t)}});var ca=fn({isFinite_:function(e){var t={x:ln(e,"x","isFinite")};return on.runKernel("IsFinite",t)}});var pa=fn({isInf_:function(e){var t={x:ln(e,"x","isInf")};return on.runKernel("IsInf",t)}});var la=fn({isNaN_:function(e){var t={x:ln(e,"x","isNaN")};return on.runKernel("IsNan",t)}});var da=fn({leakyRelu_:function(e,t){void 0===t&&(t=.2);var n={x:ln(e,"x","leakyRelu")},r={alpha:t};return on.runKernel("LeakyRelu",n,r)}});var ha=fn({less_:function(e,t){var n,r=ln(e,"a","less","string_or_numeric"),a=ln(t,"b","less","string_or_numeric");r=(n=d($t(r,a),2))[0],a=n[1],Dr(r.shape,a.shape);var o={a:r,b:a};return on.runKernel("Less",o)}});var fa=fn({lessEqual_:function(e,t){var n,r=ln(e,"a","lessEqual","string_or_numeric"),a=ln(t,"b","lessEqual","string_or_numeric");r=(n=d($t(r,a),2))[0],a=n[1],Dr(r.shape,a.shape);var o={a:r,b:a};return on.runKernel("LessEqual",o)}});var ma=fn({localResponseNormalization_:function(e,t,n,r,a){void 0===t&&(t=5),void 0===n&&(n=1),void 0===r&&(r=1),void 0===a&&(a=.5);var o=ln(e,"x","localResponseNormalization");ie(4===o.rank||3===o.rank,(function(){return"Error in localResponseNormalization: x must be rank 3 or 4 but got\n               rank ".concat(o.rank,".")})),ie(de(t),(function(){return"Error in localResponseNormalization: depthRadius must be an "+"integer but got depthRadius ".concat(t,".")}));var s=o,i=!1;3===o.rank&&(i=!0,s=Vn(o,[1,o.shape[0],o.shape[1],o.shape[2]]));var u={x:s},c={depthRadius:t,bias:n,alpha:r,beta:a},p=on.runKernel("LRN",u,c);return i?Vn(p,[p.shape[1],p.shape[2],p.shape[3]]):p}});var ya=fn({log_:function(e){var t={x:ln(e,"x","log","float32")};return on.runKernel("Log",t)}});var va=fn({log1p_:function(e){var t={x:ln(e,"x","log1p")};return on.runKernel("Log1p",t)}});function ga(e){return on.customGrad(e)}var ba=fn({neg_:function(e){var t={x:ln(e,"x","neg")};return on.runKernel("Neg",t)}});var xa=fn({softplus_:function(e){var t={x:ln(e,"x","softplus")};return on.runKernel("Softplus",t)}});var 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0===n&&(n=0);var r={x:ln(e,"x","split")},a={numOrSizeSplits:t,axis:n};return on.runKernel("SplitV",r,a)}});var ls=fn({rfft_:function(e,t){ie("float32"===e.dtype,(function(){return"The dtype for rfft() must be real value but got ".concat(e.dtype)}));var n,r=e.shape[e.shape.length-1],a=e.size/r;if(null!=t&&t<r){var o=e.shape.map((function(e){return 0})),s=e.shape.map((function(e){return e}));s[e.shape.length-1]=t,n=Gn(e,o,s),r=t}else if(null!=t&&t>r){var i=e.shape.map((function(e){return e}));i[e.shape.length-1]=t-r,n=jn([e,za(i)],e.shape.length-1),r=t}else n=e;var u=Fr(n),c=Vn(ur(n,u),[a,r]),p=is(c),l=Math.floor(r/2)+1,d=Po(p),h=ua(p),f=ps(d,[l,r-l],d.shape.length-1),m=ps(h,[l,r-l],h.shape.length-1),y=n.shape.slice();return y[n.shape.length-1]=l,Vn(ur(f[0],m[0]),y)}});var ds=fn({squaredDifference_:function(e,t){var n,r=ln(e,"a","squaredDifference"),a=ln(t,"b","squaredDifference");r=(n=d($t(r,a),2))[0],a=n[1],Dr(r.shape,a.shape);var o={a:r,b:a};return on.runKernel("SquaredDifference",o,{})}});var hs=fn({squeeze_:function(e,t){var n=ln(e,"x","squeeze","string_or_numeric");return Vn(n,function(e,t){for(var n=[],r=[],a=null!=t&&Array.isArray(t)&&0===t.length,o=null==t||a?null:fe(t,e).sort(),s=0,i=0;i<e.length;++i){if(null!=o){if(o[s]===i&&1!==e[i])throw new Error("Can't squeeze axis ".concat(i," since its dim '").concat(e[i],"' is not 1"));(null==o[s]||o[s]>i)&&1===e[i]&&(n.push(e[i]),r.push(i)),o[s]<=i&&s++}1!==e[i]&&(n.push(e[i]),r.push(i))}return{newShape:n,keptDims:r}}(n.shape,t).newShape)}});var fs=fn({stack_:function(e,t){void 0===t&&(t=0);var n=dn(e,"tensors","stack","string_or_numeric");ie(n.length>=1,(function(){return"Pass at least one tensor to tf.stack"})),n.length>0&&ie(t<=n[0].rank,(function(){return"Axis must be <= rank of the tensor"}));var r=n,a={axis:t};return on.runKernel("Pack",r,a)}});var ms=fn({step_:function(e,t){void 0===t&&(t=0);var n={x:ln(e,"x","step")},r={alpha:t};return on.runKernel("Step",n,r)}});var ys=fn({stridedSlice_:function(e,t,n,r,a,o,s,i,u){void 0===a&&(a=0),void 0===o&&(o=0),void 0===s&&(s=0),void 0===i&&(i=0),void 0===u&&(u=0);var c={x:ln(e,"x","stridedSlice","string_or_numeric")},p={begin:t,end:n,strides:r,beginMask:a,endMask:o,ellipsisMask:s,newAxisMask:i,shrinkAxisMask:u};return on.runKernel("StridedSlice",c,p)}});var vs=fn({tan_:function(e){var t={x:ln(e,"x","tan","float32")};return on.runKernel("Tan",t)}});function gs(e,t,n){return Wr(e,t,un(e,n),n)}function bs(e,t){ce(e);var n=un(e,t);if(1!==n.length)throw new Error("tensor1d() requires values to be a flat/TypedArray");return Wr(e,null,n,t)}function xs(e,t,n){if(ce(e),null!=t&&2!==t.length)throw new Error("tensor2d() requires shape to have two numbers");var r=un(e,n);if(2!==r.length&&1!==r.length)throw new Error("tensor2d() requires values to be number[][] or flat/TypedArray");if(1===r.length&&null==t)throw new Error("tensor2d() requires shape to be provided when `values` are a flat/TypedArray");return Wr(e,t,r,n)}function Ns(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 1, but got shape: ".concat(n));if(0===n.length){if(0===t.size)throw new Error("Indices specified for empty output. indices shape: ".concat(t.shape));if(0===e.size)throw new Error("Updates specified for empty output. updates shape: ".concat(e.shape))}!function(e,t,n){var r=t.rank>1?t.shape[t.rank-1]:1,a=t.rank>1?t.rank-1:1,o="Must have updates.shape = indices.shape[:batchDim] + "+"shape[sliceDim:], got updates.shape: ".concat(n.shape)+", indices.shape: ".concat(t.shape,", shape: ").concat(e)+", sliceDim: ".concat(r,", and batchDim: ").concat(a,".");if(n.rank<a)throw new Error(o+" update.rank < ".concat(a,". "));if(e.length<r+(n.rank-a))throw new Error(o+" Output shape length < ".concat(r+(n.rank-a)));if(n.rank!==a+e.length-r)throw new Error(o+" update.rank != ".concat(a+e.length-r));for(var s=0;s<a;++s)if(n.shape[s]!==t.shape[s])throw new Error(o+" updates.shape[".concat(s,"] (").concat(n.shape[s],") != indices.shape[").concat(s,"] (").concat(t.shape[s],")."));for(s=0;s<n.rank-a;++s)if(n.shape[s+a]!==e[s+r])throw new Error(o+" updates.shape[".concat(s+a,"] (").concat(n.shape[s+a],") != shape[").concat(s+a,"] (").concat(e[s+a],")"))}(n,t,e)}var ws=fn({tensorScatterUpdate_:function(e,t,n){var r=ln(e,"tensor","tensorScatterupdate"),a=ln(t,"indices","tensorScatterupdate","int32"),o=ln(n,"updates","tensorScatterupdate");if(Ns(o,a,r.shape),r.dtype!==o.dtype)throw new Error("tensor and updates must have the same dtype, instead they are ".concat(r.dtype," and ").concat(o.dtype,"."));var s={tensor:r,indices:a,updates:o};return on.runKernel("TensorScatterUpdate",s,{})}});var ks=fn({topk_:function(e,t,n){void 0===t&&(t=1),void 0===n&&(n=!0);var r=ln(e,"x","topk");if(0===r.rank)throw new Error("topk() expects the input to be of rank 1 or higher");var a=r.shape[r.shape.length-1];if(t<0)throw new Error("'k' passed to topk() must be >= 0 but got ".concat(t));if(t>a)throw new Error("'k' passed to topk() must be <= the last dimension (".concat(a,") ")+"but got ".concat(t));var o={x:r},s={k:t,sorted:n},i=d(on.runKernel("TopK",o,s),2);return{values:i[0],indices:i[1]}}});var Ts=fn({truncatedNormal_:function(e,t,n,r,a){if(void 0===t&&(t=0),void 0===n&&(n=1),Se(e),null!=r&&"bool"===r)throw new Error("Unsupported data type $ { dtype }");for(var o=new Ao(t,n,r,!0,a),s=ar(e,r),i=0;i<s.values.length;i++)s.values[i]=o.nextValue();return s.toTensor()}});var Ss=fn({unique_:function(e,t){void 0===t&&(t=0);var n=ln(e,"x","unique","string_or_numeric");ie(n.rank>0,(function(){return"The input tensor must be at least 1D"}));var r={x:n},a={axis:t},o=d(on.runKernel("Unique",r,a),2);return{values:o[0],indices:o[1]}}});var _s=fn({unsortedSegmentSum_:function(e,t,n){var r=ln(e,"x","unsortedSegmentSum"),a=ln(t,"segmentIds","unsortedSegmentSum","int32");ie(de(n),(function(){return"numSegments must be of dtype int"}));var o={x:r,segmentIds:a},s={numSegments:n};return on.runKernel("UnsortedSegmentSum",o,s)}});var Es=fn({unstack_:function(e,t){void 0===t&&(t=0);var n=ln(e,"x","unstack","string_or_numeric");ie(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 on.runKernel("Unpack",r,a)}});var Is=function(e){return c(this,void 0,void 0,(function(){var t,n,r;return p(this,(function(a){switch(a.label){case 0:return[4,(t=ln(e,"condition","whereAsync","bool")).data()];case 1:return n=a.sent(),r=function(e,t){for(var n=[],r=0;r<t.length;r++)t[r]&&n.push(r);var a=ar(e,"int32"),o=ar([n.length,e.length],"int32");for(r=0;r<n.length;r++){var s=a.indexToLoc(n[r]),i=r*e.length;o.values.set(s,i)}return o.toTensor()}(t.shape,n),e!==t&&t.dispose(),[2,r]}}))}))};var Os=function(e,t,n){return c(this,void 0,void 0,(function(){var r,a,o,s,i,u,c,l,d,h,f,m,y;return p(this,(function(p){switch(p.label){case 0:for(r=ln(e,"tensor","boolMask"),a=ln(t,"mask","boolMask","bool"),o=null==n?0:n,s=a.rank,i=r.shape,ie(s>0,(function(){return"mask cannot be scalar"})),ue(i.slice(o,o+s),a.shape,"mask's shape must match the first K dimensions of tensor's shape,"),u=1,c=o;c<o+s;c++)u*=i[c];return l=i.slice(0,o).concat([u],i.slice(o+s)),d=Vn(r,l),h=Vn(a,[-1]),[4,Is(h)];case 1:return f=p.sent(),m=hs(f,[1]),y=oa(d,m,o),e!==r&&r.dispose(),t!==a&&a.dispose(),m.dispose(),d.dispose(),h.dispose(),f.dispose(),[2,y]}}))}))};var As=fn({transpose_:function(e,t,n){var r=ln(e,"x","transpose");if(null==t&&(t=r.shape.map((function(e,t){return t})).reverse()),ie(r.rank===t.length,(function(){return"Error in transpose: rank of input ".concat(r.rank," ")+"must match length of perm ".concat(t,".")})),t.forEach((function(e){ie(e>=0&&e<r.rank,(function(){return"All entries in 'perm' must be between 0 and ".concat(r.rank-1)+" but got ".concat(t)}))})),r.rank<=1)return r.clone();var a,o,s={x:r},i={perm:t};return"complex64"===r.dtype?(a=function(){var e=Po(r),t=ua(r);return e=on.runKernel(Be,{x:e},i),t=on.runKernel(Be,{x:t},i),n&&(t=ba(t)),ur(e,t)},on.tidy(a,o)):on.runKernel(Be,s,i)}});var Ds=fn({movingAverage_:function(e,t,n,r,a){void 0===a&&(a=!0);var o,s,i=ln(e,"v","movingAverage"),u=ln(t,"x","movingAverage"),c=ln(n,"decay","movingAverage");s=u,ie((o=i).dtype===s.dtype,(function(){return"The dtypes of the first(".concat(o.dtype,") and")+" second(".concat(s.dtype,") input must match")})),ie(le(i.shape,u.shape),(function(){return"Shape mismatch in v and x"}));var p=Gr(1),l=wa(p,c),d=Un(wa(u,i),l);if(a){ie(null!=r,(function(){return"When using zeroDebias: true, step is required."}));var h=ln(r,"step","movingAverage");d=Ar(d,wa(p,Ur(c,h)))}return gn(i,d)}});var Ms=fn({scatterND_:function(e,t,n){Se(n);var r=ln(e,"indices","scatterND","int32"),a=ln(t,"updates","scatterND");Ns(a,r,n);var o={indices:r,updates:a},s={shape:n};return on.runKernel("ScatterNd",o,s)}});var Cs=fn({sparseToDense_:function(e,t,n,r){void 0===r&&(r=0),Se(n);var a=ln(e,"sparseIndices","sparseToDense","int32"),o=ln(t,"sparseValues","sparseToDense","string_or_numeric"),s=ln(r,"defaultValue","sparseToDense",o.dtype);!function(e,t,n,r){if("int32"!==e.dtype)throw new Error("tf.sparseToDense() expects the indices to be int32 type,"+" but the dtype was ".concat(e.dtype,"."));if(e.rank>2)throw new Error("sparseIndices should be a scalar, vector, or matrix,"+" but got shape ".concat(e.shape,"."));var a=e.rank>0?e.shape[0]:1,o=e.rank>1?e.shape[1]:1;if(n.length!==o)throw new Error("outputShape has incorrect number of elements:,"+" ".concat(n.length,", should be: ").concat(o,"."));var s=t.size;if(0!==t.rank&&(1!==t.rank||s!==a))throw new Error("sparseValues has incorrect shape "+"".concat(t.shape,", should be [] or [").concat(a,"]"));if(t.dtype!==r.dtype)throw new Error("sparseValues.dtype must match defaultValues.dtype")}(a,o,n,s);var i={sparseIndices:a,sparseValues:o,defaultValue:s},u={outputShape:n};return on.runKernel("SparseToDense",i,u)}});var Fs=fn({gatherND_:function(e,t){var n=ln(t,"indices","gatherND","int32"),r={params:ln(e,"x","gatherND","string_or_numeric"),indices:n};return on.runKernel("GatherNd",r)}});var Rs=fn({dropout_:function(e,t,n,r){var a=ln(e,"x","dropout");if(ie("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.")})),ie(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 jt?a.clone():a;var o=function(e,t){if(null==t)return e.shape.slice();if(le(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),s=1-t,i=Ar(aa(gn(zo(o,0,1,"float32",r),s)),s);return Un(a,i)}});function zs(e){return Math.floor(Math.pow(2,Math.ceil(Math.log(e)/Math.log(2))))}function Ls(e,t,n){for(var r=1-e%2,a=new Float32Array(e),o=0;o<e;++o){var s=2*Math.PI*o/(e+r-1);a[o]=t-n*Math.cos(s)}return bs(a,"float32")}var Vs=function(e,t,n){return void 0===n&&(n=1),c(this,void 0,void 0,(function(){var r,a,o,s,i,u,c,l,h,f,m,y,v,g;return p(this,(function(p){switch(p.label){case 0:return r=ln(e,"predictions","inTopK"),a=ln(t,"targets","inTopK"),ie(r.rank>1,(function(){return"inTopK() expects the predictions to be of rank 2 or higher, "+"but got ".concat(r.rank)})),ie(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)})),ue(r.shape.slice(0,r.shape.length-1),a.shape,"predictions's shape should be align with the targets' shape, except the last dimension."),o=r.shape[r.shape.length-1],ie(n>0&&n<=o,(function(){return"'k' passed to inTopK() must be > 0 && <= the predictions last "+"dimension (".concat(o,"), but got ").concat(n)})),[4,r.data()];case 1:return s=p.sent(),[4,a.data()];case 2:for(i=p.sent(),u=d([s.length/o,o],2),c=u[0],l=u[1],h=function(e,t){return me(e,t)}("bool",c),f=0;f<c;f++){for(m=f*l,y=s.subarray(m,m+l),v=[],g=0;g<y.length;g++)v.push({value:y[g],index:g});for(v.sort((function(e,t){return t.value-e.value})),h[f]=0,g=0;g<n;g++)if(v[g].index===i[f]){h[f]=1;break}}return e!==r&&r.dispose(),t!==a&&a.dispose(),[2,gs(h,a.shape,"bool")]}}))}))};var Ps=fn({conv2DBackpropFilter_:function(e,t,n,r,a,o,s){void 0===o&&(o="NHWC");var i=e;3===e.rank&&(i=Vn(e,[1,e.shape[0],e.shape[1],e.shape[2]]));var u=t;3===u.rank&&(u=Vn(t,[1,t.shape[0],t.shape[1],t.shape[2]])),ie(4===i.rank,(function(){return"Error in conv2dDerFilter: input must be rank 4, but got shape "+"".concat(i.shape,".")})),ie(4===u.rank,(function(){return"Error in conv2dDerFilter: dy must be rank 4, but got shape "+"".concat(u.shape,".")})),ie(4===n.length,(function(){return"Error in conv2dDerFilter: filterShape must be length 4, but got "+"".concat(n,".")}));var c="NHWC"===o?i.shape[3]:i.shape[1],p="NHWC"===o?u.shape[3]:u.shape[1];ie(c===n[2],(function(){return"Error in conv2dDerFilter: depth of input ".concat(c,") must ")+"match input depth in filter (".concat(n[2],".")})),ie(p===n[3],(function(){return"Error in conv2dDerFilter: depth of dy (".concat(p,") must ")+"match output depth for filter (".concat(n[3],").")})),Ln("conv2dDerFilter",a,s);var l={x:i,dy:u},d={strides:r,pad:a,dataFormat:o,dimRoundingMode:s,filterShape:n};return on.runKernel("Conv2DBackpropFilter",l,d)}});function Bs(e,t,n){if(null==n||"linear"===n)return e;if("relu"===n)return Un(e,ms(t));throw new Error("Cannot compute gradient for fused activation ".concat(n,"."))}function Ks(e,t){var n=t,r=function(e,t){for(var n=[],r=0;r<t.length;r++){var a=e[e.length-r-1],o=t.length-r-1,s=t[o];(null==a||1===a&&s>1)&&n.unshift(o)}return n}(e.shape,t.shape);return r.length>0&&(n=Qr(n,r)),Vn(n,e.shape)}function js(e,t,n,r){if("linear"===t)return e;if("relu"===t)return Ko(e);if("elu"===t)return Vr(e);if("relu6"===t)return jo(e);if("prelu"===t)return to(e,n);if("leakyrelu"===t)return da(e,r);if("sigmoid"===t)return Wn(e);throw new Error("Unknown fused activation ".concat(t,"."))}var qs=function(e,t){return!(e>0)||"linear"===t};var Us=fn({fusedConv2d_:function(e){var t,n=e.x,r=e.filter,a=e.strides,o=e.pad,s=e.dataFormat,i=void 0===s?"NHWC":s,u=e.dilations,c=void 0===u?[1,1]:u,p=e.dimRoundingMode,l=e.bias,h=e.activation,f=void 0===h?"linear":h,m=e.preluActivationWeights,y=e.leakyreluAlpha;if(f=f||"linear",!1===qs(on.state.gradientDepth,f)){ie("NHWC"===i,(function(){return"Error in fused conv2d: got dataFormat of ".concat(i," but ")+"only NHWC is currently supported for the case of gradient depth is 0 and the activation is not linear."}));var v=hr(n,r,a,o,i,c,p);return null!=l&&(v=gn(v,l)),js(v,f,m,y)}var g=ln(n,"x","conv2d","float32"),b=ln(r,"filter","conv2d","float32"),x=g,N=!1;3===g.rank&&(N=!0,x=Vn(g,[1,g.shape[0],g.shape[1],g.shape[2]])),ie(4===x.rank,(function(){return"Error in fused conv2d: input must be rank 4, but got rank "+"".concat(x.rank,".")})),ie(4===b.rank,(function(){return"Error in fused conv2d: filter must be rank 4, but got rank "+"".concat(b.rank,".")})),Ln("fused conv2d",o,p);var w="NHWC"===i?x.shape[3]:x.shape[1];ie(b.shape[2]===w,(function(){return"Error in conv2d: depth of input (".concat(w,") must match ")+"input depth for filter 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"+"Got strides ".concat(a," and dilations '").concat(c,"'")}));var k,T,S=An(x.shape,b.shape,a,c,o,p);if(null!=l&&(t=d($t(k=ln(l,"bias","fused conv2d"),g),1),k=t[0],"NHWC"===i?Dr(S.outShape,k.shape):(ie(k.shape.length<=1,(function(){return"Error in fused conv2d: only supports scalar or 1-D Tensor bias for NCHW format but got the bias of "+"rank-".concat(k.shape.length,".")})),ie(0===k.shape.length||k.shape[0]===S.outChannels||1===k.shape[0],(function(){return"Error in fused conv2d: bias shape (".concat(k.shape,") is not ")+"compatible with the number of output channels "+"(".concat(S.outChannels,")")})))),null!=m){var _=m.shape;if(ie(_.length<=1||3===_.length,(function(){return"Error in fused conv2d: only supports scalar, 1-D Tensor or 3-D Tensor PReLU activation weights but got a tensor of "+"rank-".concat(_.length,".")})),1===_.length)ie(1===_[0]||_[0]===S.outChannels,(function(){return"Error in fused conv2d: PReLU activation weights "+"(".concat(_,") is not compatible with the number of output ")+"channels (".concat(S.outChannels,").")}));else if(3===_.length)try{Dr(_,S.outShape)}catch(e){var E="Error in fused conv2d: PReLU activation weights (".concat(_,") ")+"is not compatible with the output shape of the conv2d "+"(".concat(S.outShape,").");throw Error(E)}T=ln(m,"prelu weights","fused conv2d")}var I=function(e,t){ie("NHWC"===i,(function(){return"Error in gradient of fused conv2D: got dataFormat of ".concat(i," but only NHWC is currently supported.")}));var n=d(t,4),r=n[0],s=n[1],u=n[2],p=n[3],l=Bs(e,u,f);ie(Fn(c),(function(){return"Error in gradient of fused conv2D: dilation rates greater than 1 "+"are not yet supported in gradients. 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s=ln(e,"boxes","nonMaxSuppressionAsync"),i=ln(t,"scores","nonMaxSuppressionAsync"),u=ai(s,i,n,r,a,null),c=u.maxOutputSize,l=u.iouThreshold,h=u.scoreThreshold,[4,Promise.all([s.data(),i.data()])];case 1:return f=d.apply(void 0,[p.sent(),2]),m=f[0],y=f[1],v=function(e,t,n,r,a,o){return ui(e,t,n,r,a,0,!1,o,!0)}(m,y,c,l,h,o),g=v.selectedIndices,b=v.validOutputs,s!==e&&s.dispose(),i!==t&&i.dispose(),[2,{selectedIndices:bs(g,"int32"),validOutputs:Gr(b,"int32")}]}}))}))};var vi=fn({resizeBilinear_:function(e,t,n,r){void 0===n&&(n=!1),void 0===r&&(r=!1);var a=ln(e,"images","resizeBilinear");ie(3===a.rank||4===a.rank,(function(){return"Error in resizeBilinear: x must be rank 3 or 4, but got "+"rank ".concat(a.rank,".")})),ie(2===t.length,(function(){return"Error in resizeBilinear: new shape must 2D, but got shape "+"".concat(t,".")})),ie(!1===r||!1===n,(function(){return"Error in resizeBilinear: If halfPixelCenters is true, alignCorners must be false."}));var o=a,s=!1;3===a.rank&&(s=!0,o=Vn(a,[1,a.shape[0],a.shape[1],a.shape[2]])),d(t,0);var i={images:o},u={alignCorners:n,halfPixelCenters:r,size:t},c=on.runKernel("ResizeBilinear",i,u);return s?Vn(c,[c.shape[1],c.shape[2],c.shape[3]]):c}});var gi=fn({resizeNearestNeighbor_:function(e,t,n,r){void 0===n&&(n=!1),void 0===r&&(r=!1);var a=ln(e,"images","resizeNearestNeighbor");ie(3===a.rank||4===a.rank,(function(){return"Error in resizeNearestNeighbor: x must be rank 3 or 4, but got "+"rank ".concat(a.rank,".")})),ie(2===t.length,(function(){return"Error in resizeNearestNeighbor: new shape must 2D, but got shape "+"".concat(t,".")})),ie("float32"===a.dtype||"int32"===a.dtype,(function(){return"`images` must have `int32` or `float32` as dtype"})),ie(!1===r||!1===n,(function(){return"Error in resizeNearestNeighbor: If halfPixelCenters is true, alignCorners must be false."}));var o=a,s=!1;3===a.rank&&(s=!0,o=Vn(a,[1,a.shape[0],a.shape[1],a.shape[2]])),d(t,0);var i={images:o},u={alignCorners:n,halfPixelCenters:r,size:t},c=on.runKernel("ResizeNearestNeighbor",i,u);return s?Vn(c,[c.shape[1],c.shape[2],c.shape[3]]):c}});var bi=fn({threshold_:function(e,t,n,r){var a;void 0===t&&(t="binary"),void 0===n&&(n=!1),void 0===r&&(r=.5);var o,s,i,u,c=ln(e,"image","threshold"),p=c.shape[0]*c.shape[1],l=Un(bs([r]),255);if(ie(3===c.rank,(function(){return"Error in threshold: image must be rank 3,"+"but got rank ".concat(c.rank,".")})),ie(3===c.shape[2]||1===c.shape[2],(function(){return"Error in threshold: image color channel must be equal to 3 or 1"+"but got ".concat(c.shape[2],".")})),ie("int32"===c.dtype||"float32"===c.dtype,(function(){return"Error in dtype: image dtype must be int32 or float32,"+"but got dtype ".concat(c.dtype,".")})),ie("otsu"===t||"binary"===t,(function(){return"Method must be binary or otsu, but was ".concat(t)})),3===c.shape[2]){o=(a=d(ps(c,[1,1,1],-1),3))[0],s=a[1],i=a[2];var h=Un(o,.2989),f=Un(s,.587),m=Un(i,.114);u=gn(gn(h,f),m)}else u=e;"otsu"===t&&(l=function(e,t){for(var n,r,a,o,s,i,u=bs([-1]),c=bs([0]),p=bs([0]),l=0;l<e.size-1;l++){n=Gn(e,0,l+1),r=Gn(e,l+1),s=Ar(Qr(n),t),i=Ar(Qr(r),t);var d=Qr(Un(n,Vo(0,n.size)));a=Ar(d,Qr(n));var h=sr(r.shape,n.size),f=gn(Vo(0,r.size),h),m=Un(r,f);o=Ar(Qr(m),Qr(r));var y=wa(a,o),v=wa(a,o),g=Un(s,i);p=Un(Un(g,y),v);var b=sa(p,c);c=Cr(b,p,c),u=Cr(b,bs([l]),u)}return u}(er(On(Zo(u),"int32"),gs([]),256),p));var y=n?fa(u,l):sa(u,l);return On(Un(y,255),"int32")}});var xi=fn({transform_:function(e,t,n,r,a,o){void 0===n&&(n="nearest"),void 0===r&&(r="constant"),void 0===a&&(a=0);var s=ln(e,"image","transform","float32"),i=ln(t,"transforms","transform","float32");ie(4===s.rank,(function(){return"Error in transform: image must be rank 4,"+"but got rank ".concat(s.rank,".")})),ie(2===i.rank&&(i.shape[0]===s.shape[0]||1===i.shape[0])&&8===i.shape[1],(function(){return"Error in transform: Input transform should be batch x 8 or 1 x 8"})),ie(null==o||2===o.length,(function(){return"Error in transform: outputShape must be [height, width] or null, "+"but got ".concat(o,".")}));var u={image:s,transforms:i},c={interpolation:n,fillMode:r,fillValue:a,outputShape:o};return on.runKernel("Transform",u,c)}});var Ni=fn({bandPart_:function(e,t,n){var r=ln(e,"a","bandPart");ie(r.rank>=2,(function(){return"bandPart(): Rank must be at least 2, got ".concat(r.rank,".")}));var a,o,s=r.shape,i=d(r.shape.slice(-2),2),u=i[0],c=i[1];"number"==typeof t?(ie(t%1==0,(function(){return"bandPart(): numLower must be an integer, got ".concat(t,".")})),ie(t<=u,(function(){return"bandPart(): numLower (".concat(t,")")+" must not be greater than the number of rows (".concat(u,").")})),a=ln(t<0?u:t,"numLower","bandPart")):(ie("int32"===t.dtype,(function(){return"bandPart(): numLower's dtype must be an int32."})),a=Cr(ha(t,0),u,Va(t,u))),"number"==typeof n?(ie(n%1==0,(function(){return"bandPart(): numUpper must be an integer, got ".concat(n,".")})),ie(n<=c,(function(){return"bandPart(): numUpper (".concat(n,")")+" must not be greater than the number of columns (".concat(c,").")})),o=ln(n<0?c:n,"numUpper","bandPart")):(ie("int32"===n.dtype,(function(){return"bandPart(): numUpper's dtype must be an int32."})),o=Cr(ha(n,0),c,Va(n,c)));var p=Vn(Vo(0,u,1,"int32"),[-1,1]),l=Vo(0,c,1,"int32"),h=wa(p,l),f=Sa(fa(h,a),ia(h,ba(o))),m=za([u,c],r.dtype);return Vn(fs(Es(Vn(r,[-1,u,c])).map((function(e){return Cr(f,e,m)}))),s)}});var wi=fn({gramSchmidt_:function(e){var t;if(Array.isArray(e)){t=!1,ie(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){ie(e[t].shape[0]===n,(function(){return"Gram-Schmidt: Non-unique lengths found in the input vectors: "+"(".concat(e[t].shape[0]," vs. ").concat(n,")")}))},a=1;a<e.length;++a)r(a)}else t=!0,e=ps(e,e.shape[0],0).map((function(e){return hs(e,[0])}));ie(e.length<=e[0].shape[0],(function(){return"Gram-Schmidt: Number of vectors (".concat(e.length,") exceeds ")+"number of dimensions (".concat(e[0].shape[0],").")}));var o=[],s=e,i=function(e){o.push(on.tidy((function(){var t=s[e];if(e>0)for(var n=0;n<e;++n){var r=Un(Qr(Un(o[n],t)),o[n]);t=wa(t,r)}return Ar(t,Yr(t,"euclidean"))})))};for(a=0;a<e.length;++a)i(a);return t?fs(o,0):o}});function ki(e,t){return void 0===t&&(t=!1),on.tidy((function(){ie(2===e.shape.length,(function(){return"qr2d() requires a 2D Tensor, but got a ".concat(e.shape.length,"D Tensor.")}));for(var n=e.shape[0],r=e.shape[1],a=ra(n),o=Kn(e),s=xs([[1]],[1,1]),i=Kn(s),u=n>=r?r:n,c=function(e){var t,u=o,c=i,p=a;t=d(on.tidy((function(){var t=Gn(o,[e,e],[n-e,1]),u=Yr(t),c=Gn(o,[e,e],[1,1]),p=Cr(sa(c,0),xs([[-1]]),xs([[1]])),l=wa(c,Un(p,u)),d=Ar(t,l);i=1===d.shape[0]?Kn(s):jn([s,Gn(d,[1,0],[d.shape[0]-1,d.shape[1]])],0);var h=ba(Ar(qn(p,l),u)),f=Gn(o,[e,0],[n-e,r]),m=Un(h,i),y=As(i);if(0===e)o=wa(f,qn(m,qn(y,f)));else{var v=wa(f,qn(m,qn(y,f)));o=jn([Gn(o,[0,0],[e,r]),v],0)}var g=As(m),b=Gn(a,[0,e],[n,a.shape[1]-e]);if(0===e)a=wa(b,qn(qn(b,i),g));else{var x=wa(b,qn(qn(b,i),g));a=jn([Gn(a,[0,0],[n,e]),x],1)}return[i,o,a]})),3),i=t[0],o=t[1],a=t[2],en([u,c,p]).forEach((function(e){return e.dispose()}))},p=0;p<u;++p)c(p);return!t&&n>r&&(a=Gn(a,[0,0],[n,r]),o=Gn(o,[0,0],[r,r])),[a,o]}))}var Ti,Si=fn({qr_:function(e,t){if(void 0===t&&(t=!1),ie(e.rank>=2,(function(){return"qr() requires input tensor to have a rank >= 2, but got rank ".concat(e.rank)})),2===e.rank)return ki(e,t);var n=e.shape.slice(0,e.shape.length-2).reduce((function(e,t){return e*t})),r=Es(Vn(e,[n,e.shape[e.shape.length-2],e.shape[e.shape.length-1]]),0),a=[],o=[];return r.forEach((function(e){var n=d(ki(e,t),2),r=n[0],s=n[1];a.push(r),o.push(s)})),[Vn(fs(a,0),e.shape),Vn(fs(o,0),e.shape)]}});!function(e){e[e.NONE=0]="NONE",e[e.MEAN=1]="MEAN",e[e.SUM=2]="SUM",e[e.SUM_BY_NONZERO_WEIGHTS=3]="SUM_BY_NONZERO_WEIGHTS"}(Ti||(Ti={}));var _i=fn({computeWeightedLoss_:function(e,t,n){void 0===n&&(n=Ti.SUM_BY_NONZERO_WEIGHTS);var r=ln(e,"losses","computeWeightedLoss"),a=null;null!=t&&(a=ln(t,"weights","computeWeightedLoss"));var o=null==a?r:Un(r,a);if(n===Ti.NONE)return o;if(n===Ti.SUM)return Qr(o);if(n===Ti.MEAN){if(null==a)return Ra(o);var s=r.size/a.size,i=Ar(Qr(o),Qr(a));return s>1?Ar(i,Gr(s)):i}if(n===Ti.SUM_BY_NONZERO_WEIGHTS){if(null==a)return Ar(Qr(o),Gr(r.size));var u=Un(a,La(r.shape)),c=On(Qr(Ua(u,Gr(0))),"float32");return Ar(Qr(o),c)}throw Error("Unknown reduction: ".concat(n))}});var Ei=fn({absoluteDifference_:function(e,t,n,r){void 0===r&&(r=Ti.SUM_BY_NONZERO_WEIGHTS);var a=ln(e,"labels","absoluteDifference"),o=ln(t,"predictions","absoluteDifference"),s=null;null!=n&&(s=ln(n,"weights","absoluteDifference")),ue(a.shape,o.shape,"Error in absoluteDifference: ");var i=mn(wa(a,o));return _i(i,s,r)}});var Ii=fn({cosineDistance_:function(e,t,n,r,a){void 0===a&&(a=Ti.SUM_BY_NONZERO_WEIGHTS);var o=ln(e,"labels","cosineDistance"),s=ln(t,"predictions","cosineDistance"),i=null;null!=r&&(i=ln(r,"weights","cosineDistance")),ue(o.shape,s.shape,"Error in cosineDistance: ");var u=Gr(1),c=wa(u,Qr(Un(o,s),n,!0));return _i(c,i,a)}});var Oi=fn({hingeLoss_:function(e,t,n,r){void 0===r&&(r=Ti.SUM_BY_NONZERO_WEIGHTS);var a=ln(e,"labels","hingeLoss"),o=ln(t,"predictions","hingeLoss"),s=null;null!=n&&(s=ln(n,"weights","hingeLoss")),ue(a.shape,o.shape,"Error in hingeLoss: ");var i=Gr(1);a=wa(Un(Gr(2),a),i);var u=Ko(wa(i,Un(a,o)));return _i(u,s,r)}});var Ai=fn({huberLoss_:function(e,t,n,r,a){void 0===r&&(r=1),void 0===a&&(a=Ti.SUM_BY_NONZERO_WEIGHTS);var o=ln(e,"labels","huberLoss"),s=ln(t,"predictions","huberLoss"),i=null;null!=n&&(i=ln(n,"weights","huberLoss")),ue(o.shape,s.shape,"Error in huberLoss: ");var u=Gr(r),c=mn(wa(s,o)),p=Va(c,u),l=wa(c,p),d=gn(Un(Gr(.5),Zr(p)),Un(u,l));return _i(d,i,a)}});var Di=fn({logLoss_:function(e,t,n,r,a){void 0===r&&(r=1e-7),void 0===a&&(a=Ti.SUM_BY_NONZERO_WEIGHTS);var o=ln(e,"labels","logLoss"),s=ln(t,"predictions","logLoss"),i=null;null!=n&&(i=ln(n,"weights","logLoss")),ue(o.shape,s.shape,"Error in logLoss: ");var u=Gr(1),c=Gr(r),p=ba(Un(o,ya(gn(s,c)))),l=Un(wa(u,o),ya(gn(wa(u,s),c))),d=wa(p,l);return _i(d,i,a)}});var Mi=fn({meanSquaredError_:function(e,t,n,r){void 0===r&&(r=Ti.SUM_BY_NONZERO_WEIGHTS);var a=ln(e,"labels","meanSquaredError"),o=ln(t,"predictions","meanSquaredError"),s=null;null!=n&&(s=ln(n,"weights","meanSquaredError")),ue(a.shape,o.shape,"Error in meanSquaredError: ");var i=ds(a,o);return _i(i,s,r)}});var Ci=fn({sigmoidCrossEntropy_:function(e,t,n,r,a){void 0===r&&(r=0),void 0===a&&(a=Ti.SUM_BY_NONZERO_WEIGHTS);var o=ln(e,"multiClassLabels","sigmoidCrossEntropy"),s=ln(t,"logits","sigmoidCrossEntropy"),i=null;if(null!=n&&(i=ln(n,"weights","sigmoidCrossEntropy")),ue(o.shape,s.shape,"Error in sigmoidCrossEntropy: "),r>0){var u=Gr(r),c=Gr(1),p=Gr(.5);o=gn(Un(o,wa(c,u)),Un(p,u))}var l=function(e,t){var n=ln(e,"labels","sigmoidCrossEntropyWithLogits"),r=ln(t,"logits","sigmoidCrossEntropyWithLogits");ue(n.shape,r.shape,"Error in sigmoidCrossEntropyWithLogits: ");var a=Ko(r),o=Un(r,n),s=va($r(ba(mn(r))));return gn(wa(a,o),s)}(o,s);return _i(l,i,a)}});var Fi=fn({softmaxCrossEntropy_:function(e,t,n,r,a){void 0===r&&(r=0),void 0===a&&(a=Ti.SUM_BY_NONZERO_WEIGHTS);var o=ln(e,"onehotLabels","softmaxCrossEntropy"),s=ln(t,"logits","softmaxCrossEntropy"),i=null;if(null!=n&&(i=ln(n,"weights","softmaxCrossEntropy")),ue(o.shape,s.shape,"Error in softmaxCrossEntropy: "),r>0){var u=Gr(r),c=Gr(1),p=Gr(o.shape[1]);o=gn(Un(o,wa(c,u)),Ar(u,p))}var l=function(e,t,n){if(void 0===n&&(n=-1),-1===n&&(n=t.rank-1),n!==t.rank-1)throw Error("Softmax cross entropy along a non-last dimension is not yet "+"supported. Labels / logits was rank ".concat(t.rank," ")+"and dim was ".concat(n));var r=ga((function(e,t,r){var a=Ta(t,[n],!0),o=wa(On(t,"float32"),a);r([e,o]);var s=ba(Un(o,e));return{value:Qr(s,[n]),gradFunc:function(e,t){var r=d(t,2),a=r[0],o=r[1],s=Kr(e.shape,[n]);return[Un(Vn(e,s),wa(On(a,"float32"),$r(o))),Un(Vn(e,s),wa($r(o),On(a,"float32")))]}}}));return r(e,t)}(o,s);return _i(l,i,a)}});var Ri=fn({sparseFillEmptyRows_:function(e,t,n,r){var a=ln(e,"indices","sparseFillEmptyRows","int32"),o=ln(t,"values","sparseFillEmptyRows"),s=ln(n,"denseShape","sparseFillEmptyRows","int32"),i=ln(r,"defaultValue","sparseFillEmptyRows",o.dtype);if(2!==a.rank)throw new Error("Indices should be Tensor2D but received shape\n        ".concat(a.shape));if(1!==o.rank)throw new Error("Values should be Tensor1D but received shape ".concat(o.shape));if(1!==s.rank)throw new Error("Dense shape should be Tensor1D but received shape ".concat(s.shape));if(0!==i.rank)throw new Error("Default value should be a scalar but received shape ".concat(i.shape));var u={indices:a,values:o,denseShape:s,defaultValue:i},c=on.runKernel("SparseFillEmptyRows",u);return{outputIndices:c[0],outputValues:c[1],emptyRowIndicator:c[2],reverseIndexMap:c[3]}}});var zi=fn({sparseReshape_:function(e,t,n){var r=ln(e,"inputIndices","sparseReshape","int32"),a=ln(t,"inputShape","sparseReshape","int32"),o=ln(n,"newShape","sparseReshape","int32");if(2!==r.rank)throw new Error("Input indices should be Tensor2D but received shape\n        ".concat(r.shape));if(1!==a.rank)throw new Error("Input shape should be Tensor1D but received shape ".concat(a.shape));if(1!==o.rank)throw new Error("New shape should be Tensor1D but received shape ".concat(o.shape));var s={inputIndices:r,inputShape:a,newShape:o},i=on.runKernel("SparseReshape",s);return{outputIndices:i[0],outputShape:i[1]}}});var Li=fn({sparseSegmentMean_:function(e,t,n){var r=ln(e,"data","sparseSegmentMean"),a=ln(t,"indices","sparseSegmentMean","int32"),o=ln(n,"segmentIds","sparseSegmentMean","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!==o.rank)throw new Error("Segment ids should be Tensor1D but received shape\n          ".concat(o.shape));var s={data:r,indices:a,segmentIds:o};return on.runKernel("SparseSegmentMean",s)}});var Vi=fn({sparseSegmentSum_:function(e,t,n){var r=ln(e,"data","sparseSegmentSum"),a=ln(t,"indices","sparseSegmentSum","int32"),o=ln(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!==o.rank)throw new Error("Segment ids should be Tensor1D but received shape\n         ".concat(o.shape));var s={data:r,indices:a,segmentIds:o};return on.runKernel("SparseSegmentSum",s)}});var Pi=fn({stringNGrams_:function(e,t,n,r,a,o,s,i){var u=ln(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=ln(t,"dataSplits","stringNGrams");if("int32"!==c.dtype)throw new Error("Data splits must be of datatype int32");var p={separator:n,nGramWidths:r,leftPad:a,rightPad:o,padWidth:s,preserveShortSequences:i},l={data:u,dataSplits:c},d=on.runKernel("StringNGrams",l,p);return{nGrams:d[0],nGramsSplits:d[1]}}});var Bi={__proto__:null,OP_SCOPE_SUFFIX:hn,abs:mn,acos:yn,acosh:vn,add:gn,addN:bn,all:xn,any:Nn,argMax:wn,argMin:kn,asin:Tn,asinh:Sn,atan:_n,atan2:En,atanh:In,avgPool:Pn,avgPool3d:Bn,basicLSTMCell:Zn,batchNorm:Xn,batchNorm2d:Yn,batchNorm3d:Jn,batchNorm4d:$n,batchToSpaceND:Qn,bincount:er,bitwiseAnd:tr,booleanMaskAsync:Os,broadcastArgs:nr,broadcastTo:rr,buffer:ar,cast:On,ceil:or,clipByValue:ir,clone:Kn,complex:ur,concat:jn,concat1d:cr,concat2d:pr,concat3d:lr,concat4d:dr,conv1d:fr,conv2d:hr,conv2dTranspose:yr,conv3d:vr,conv3dTranspose:br,cos:xr,cosh:Nr,cosineWindow:Ls,cumprod:wr,cumsum:kr,denseBincount:Tr,depthToSpace:Sr,depthwiseConv2d:_r,diag:Er,dilation2d:Ir,div:Ar,divNoNan:Rr,dot:zr,dropout:Rs,einsum:Lr,elu:Vr,enclosingPowerOfTwo:zs,ensureShape:Pr,equal:Mr,erf:Br,euclideanNorm:Jr,exp:$r,expandDims:ea,expm1:ta,eye:ra,fft:is,fill:sr,floor:aa,floorDiv:Or,fused:Zs,gather:oa,gatherND:Fs,greater:sa,greaterEqual:ia,ifft:us,imag:ua,image:{flipLeftRight:ei,grayscaleToRGB:ti,resizeNearestNeighbor:gi,resizeBilinear:vi,rgbToGrayscale:ni,rotateWithOffset:ri,cropAndResize:$s,nonMaxSuppression:oi,nonMaxSuppressionAsync:di,nonMaxSuppressionWithScore:hi,nonMaxSuppressionWithScoreAsync:fi,nonMaxSuppressionPadded:mi,nonMaxSuppressionPaddedAsync:yi,threshold:bi,transform:xi},inTopKAsync:Vs,irfft:cs,isFinite:ca,isInf:pa,isNaN:la,leakyRelu:da,less:ha,lessEqual:fa,linalg:{bandPart:Ni,gramSchmidt:wi,qr:Si},linspace:function(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 on.runKernel("LinSpace",{},r)},localResponseNormalization:ma,log:ya,log1p:va,logSigmoid:Na,logSoftmax:ka,logSumExp:Ta,logicalAnd:Sa,logicalNot:_a,logicalOr:Ea,logicalXor:Ia,losses:{absoluteDifference:Ei,computeWeightedLoss:_i,cosineDistance:Ii,hingeLoss:Oi,huberLoss:Ai,logLoss:Di,meanSquaredError:Mi,sigmoidCrossEntropy:Ci,softmaxCrossEntropy:Fi},lowerBound:function(e,t){return Aa(e,t,"left")},matMul:qn,max:jr,maxPool:Da,maxPool3d:Ma,maxPoolWithArgmax:Ca,maximum:Fa,mean:Ra,meshgrid:function(e,t,n){var r=(void 0===n?{}:n).indexing,a=void 0===r?"xy":r;if("xy"!==a&&"ij"!==a)throw new TypeError("".concat(a," is not a valid third argument to meshgrid"));if(void 0===e)return[];var o=ln(e,"x","meshgrid",e instanceof jt?e.dtype:"float32");if(void 0===t)return[o];var s=ln(t,"y","meshgrid",t instanceof jt?t.dtype:"float32"),i=pe(o.shape),u=pe(s.shape);return"xy"===a?(o=Vn(o,[1,-1]),s=Vn(s,[-1,1]),[qn(La([u,1],o.dtype),o),qn(s,La([1,i],s.dtype))]):(o=Vn(o,[-1,1]),s=Vn(s,[1,-1]),[qn(o,La([1,u],o.dtype)),qn(La([i,1],s.dtype),s)])},min:qr,minimum:Va,mirrorPad:Pa,mod:Ba,moments:Ka,movingAverage:Ds,mul:Un,multiRNNCell:ja,multinomial:qa,neg:ba,norm:Yr,notEqual:Ua,oneHot:Wa,ones:La,onesLike:Ga,op:fn,outerProduct:Ha,pad:Za,pad1d:Qa,pad2d:Xa,pad3d:Ya,pad4d:Ja,pool:eo,pow:Ur,prelu:to,print:function(e,t){void 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0===r&&(r=""),"number"!=typeof e&&"number"!=typeof n){t.util.assert(e.length===n.length,(function(){return r+" Shapes ".concat(e," and ").concat(n," must match")}));for(var a=0;a<e.length;a++){var o=e[a],s=n[a];t.util.assert(o<0||s<0||o===s,(function(){return r+" Shapes ".concat(e," and ").concat(n," must match")}))}}}function ji(e){return"number"!=typeof e&&!e.some((function(e){return e<0}))}function qi(e,t,n){var r=Ui(e,n),a=!ji(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=Ui(e.shape,r)})),!ji(r))throw new Error("Non-fully-defined elementShape: ".concat(r));return r}function Ui(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],o=t[r];if(a>=0&&o>=0&&a!==o)throw new Error("Incompatible shape during 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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},e.prototype.readMany=function(e){var t=this;return e.map((function(e){return t.read(e)}))},e.prototype.write=function(e,n){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 r=this.tensors[e]||{};if(n.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(n.dtype,", but TensorArray dtype is 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Error("Expected len(indices) == tensor.shape[0], but saw: ".concat(e.length," vs. ").concat(n.shape[0]));var r=Math.max.apply(Math,h([],d(e),!1));if(!this.dynamicSize&&r>=this.maxSize)throw new Error("Max index must be < array size (".concat(r,"  vs. ").concat(this.maxSize,")"));this.writeMany(e,t.unstack(n,0))},e.prototype.split=function(e,n){var r=this;if(n.dtype!==this.dtype)throw new Error("TensorArray dtype is ".concat(this.dtype," but tensor has dtype ").concat(n.dtype));var a=0,o=e.map((function(e){return a+=e}));if(a!==n.shape[0])throw new Error("Expected sum of lengths to be equal to\n          tensor.shape[0], but sum of lengths is\n        ".concat(a,", and tensor's shape is: ").concat(n.shape));if(!this.dynamicSize&&e.length!==this.maxSize)throw new Error("TensorArray's size is not equal to the size of lengths (".concat(this.maxSize," vs. ").concat(e.length,"), ")+"and the TensorArray is not marked as dynamically resizeable");var s=0===a?0:n.size/a,i=[];t.tidy((function(){n=t.reshape(n,[1,a,s]);for(var u=0;u<e.length;++u){var c=[0,0===u?0:o[u-1],0],p=[1,e[u],s];i[u]=t.reshape(t.slice(n,c,p),r.elementShape)}return i}));for(var u=[],c=0;c<e.length;c++)u[c]=c;this.writeMany(u,i)},e}(),Gi=function(){function e(e,n,r,a){void 0===a&&(a=-1),this.tensors=e,this.elementShape=n,this.elementDtype=r,null!=e&&e.forEach((function(e){if(r!==e.dtype)throw new Error("Invalid data types; op elements ".concat(r,", but list elements ").concat(e.dtype));Ki(n,e.shape,"TensorList shape mismatch: "),t.keep(e)})),this.idTensor=t.scalar(0),this.maxNumElements=a,t.keep(this.idTensor)}return Object.defineProperty(e.prototype,"id",{get:function(){return this.idTensor.id},enumerable:!1,configurable:!0}),e.prototype.copy=function(){return new e(h([],d(this.tensors),!1),this.elementShape,this.elementDtype)},e.prototype.clearAndClose=function(e){this.tensors.forEach((function(t){null!=e&&e.has(t.id)||t.dispose()})),this.tensors.length=0,this.idTensor.dispose()},e.prototype.size=function(){return this.tensors.length},e.prototype.stack=function(e,n,r){var a=this;if(void 0===r&&(r=-1),n!==this.elementDtype)throw new Error("Invalid data types; op elements ".concat(n,", 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."));Ki(e,this.elementShape,"TensorList shape mismatch: ");var o=qi(this.elementShape,this.tensors,e);return t.tidy((function(){var e=a.tensors.map((function(e){return t.reshape(e,o)}));return t.stack(e,0)}))},e.prototype.popBack=function(e,n){if(n!==this.elementDtype)throw new Error("Invalid data types; op elements ".concat(n,", but list elements 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data types; op elements ".concat(n.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."));Ki(this.elementShape,n.shape,"TensorList shape mismatch: "),t.keep(n),null!=this.tensors[e]&&(this.tensors[e].kept=!1),this.tensors[e]=n},e.prototype.gather=function(e,n,r){var a=this;if(n!==this.elementDtype)throw new Error("Invalid data types; op elements ".concat(n,", but list elements ").concat(this.elementDtype));Ki(this.elementShape,r,"TensorList shape mismatch: "),e=e.slice(0,this.size());var o=qi(this.elementShape,this.tensors,r);return 0===e.length?t.tensor([],[0].concat(o)):t.tidy((function(){var n=e.map((function(e){return t.reshape(a.tensors[e],o)}));return t.stack(n,0)}))},e.prototype.concat=function(e,n){var r=this;if(e&&e!==this.elementDtype)throw new Error("TensorList dtype is ".concat(this.elementDtype," but 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1:return a=y("thenBranch",e,n,r),o=y("elseBranch",e,n,r),s=y("cond",e,n,r),c=y("args",e,n,r),[4,s.data()];case 2:return(m=he.sent())[0]?[2,r.functionMap[a].executeFunctionAsync(c,r.tensorArrayMap,r.tensorListMap)]:[2,r.functionMap[o].executeFunctionAsync(c,r.tensorArrayMap,r.tensorListMap)];case 3:return i=y("body",e,n,r),u=y("cond",e,n,r),c=y("args",e,n,r),[4,r.functionMap[u].executeFunctionAsync(c,r.tensorArrayMap,r.tensorListMap)];case 4:return l=he.sent(),f=c.map((function(e){return e.id})),[4,l[0].data()];case 5:m=he.sent(),l.forEach((function(e){e.kept||-1!==f.indexOf(e.id)||e.dispose()})),g=c,b=function(){var e,t,n;return p(this,(function(a){switch(a.label){case 0:return e=g,[4,r.functionMap[i].executeFunctionAsync(g,r.tensorArrayMap,r.tensorListMap)];case 1:return g=a.sent(),t=g.map((function(e){return e.id})),e.forEach((function(e){e.kept||-1!==f.indexOf(e.id)||-1!==t.indexOf(e.id)||e.dispose()})),[4,r.functionMap[u].executeFunctionAsync(g,r.tensorArrayMap,r.tensorListMap)];case 2:return[4,(n=a.sent())[0].data()];case 3:return m=a.sent(),n.forEach((function(e){e.kept||-1!==f.indexOf(e.id)||-1!==t.indexOf(e.id)||e.dispose()})),[2]}}))},he.label=6;case 6:return m[0]?[5,b()]:[3,8];case 7:return he.sent(),[3,6];case 8:return[2,g];case 9:return[2,[k(x=y("pred",e,n,r))]];case 10:return x=y("pred",e,n,r),(T=y("data",e,n,r)).kept||(T=k(T)),[4,x.data()];case 11:return[2,he.sent()[0]?[void 0,T]:[T,void 0]];case 12:return N=e.inputNames.find((function(e){return void 0!==v(e,n,r)})),N?[2,[k(T=v(N,n,r))]]:[2,void 0];case 13:return w=y("frameName",e,n,r),T=y("tensor",e,n,r),r.enterFrame(w),[2,[k(T)]];case 14:return T=y("tensor",e,n,r),r.exitFrame(),[2,[k(T)]];case 15:return T=y("tensor",e,n,r),r.nextIteration(),[2,[k(T)]];case 16:return pe=y("size",e,n,r),S=y("dtype",e,n,r),se=y("elementShape",e,n,r),_=y("dynamicSize",e,n,r),E=y("clearAfterRead",e,n,r),I=y("identicalElementShapes",e,n,r),O=y("name",e,n,r),A=new Wi(O,S,pe,se,I,_,E),r.addTensorArray(A),[2,[A.idTensor,t.scalar(1)]];case 17:return D=y("tensorArrayId",e,n,r),U=y("index",e,n,r),re=y("tensor",e,n,r),(M=r.getTensorArray(D.id)).write(U,re),[2,[M.idTensor]];case 18:return C=y("tensorArrayId",e,n,r),W=y("index",e,n,r),[2,[r.getTensorArray(C.id).read(W)]];case 19:return X=y("tensorArrayId",e,n,r),Y=y("indices",e,n,r),F=y("dtype",e,n,r),[2,[r.getTensorArray(X.id).gather(Y,F)]];case 20:return R=y("tensorArrayId",e,n,r),G=y("indices",e,n,r),H=y("tensor",e,n,r),(z=r.getTensorArray(R.id)).scatter(G,H),[2,[z.idTensor]];case 21:return te=y("tensorArrayId",e,n,r),L=r.getTensorArray(te.id),ne=y("dtype",e,n,r),[2,[L.concat(ne)]];case 22:return V=y("tensorArrayId",e,n,r),oe=y("tensor",e,n,r),ie=y("lengths",e,n,r),(P=r.getTensorArray(V.id)).split(ie,oe),[2,[P.idTensor]];case 23:return B=y("tensorArrayId",e,n,r),K=r.getTensorArray(B.id),[2,[t.scalar(K.size(),"int32")]];case 24:return j=y("tensorArrayId",e,n,r),(q=r.getTensorArray(j.id)).clearAndClose(),[2,[q.idTensor]];case 25:return ce=y("tensorListId",e,n,r),U=y("index",e,n,r),re=y("tensor",e,n,r),(ue=r.getTensorList(ce.id)).setItem(U,re),[2,[ue.idTensor]];case 26:return ce=y("tensorListId",e,n,r),W=y("index",e,n,r),se=y("elementShape",e,n,r),ae=y("elementDType",e,n,r),[2,[(ue=r.getTensorList(ce.id)).getItem(W,se,ae)]];case 27:return G=y("indices",e,n,r),H=y("tensor",e,n,r),se=y("elementShape",e,n,r),J=y("numElements",e,n,r),ue=function(e,n,r,a){if(n.length!==e.shape[0])throw new Error("Expected len(indices) == tensor.shape[0], but saw: ".concat(n.length," vs. ").concat(e.shape[0]));var o=Math.max.apply(Math,h([],d(n),!1));if(null!=a&&-1!==a&&o>=a)throw new Error("Max index must be < array size (".concat(o,"  vs. ").concat(a,")"));var s=new Gi([],r,e.dtype,a),i=t.unstack(e,0);return n.forEach((function(e,t){s.setItem(e,i[t])})),s}(H,G,se,J),r.addTensorList(ue),[2,[ue.idTensor]];case 28:return se=y("elementShape",e,n,r),ee=y("elementDType",e,n,r),Z=void 0,Z="TensorListReserve"===e.op?"numElements":"maxNumElements",J=y(Z,e,n,r),Q="TensorListReserve"===e.op?-1:J,ue=function(e,t,n,r){return new Gi([],e,t,r)}(se,ee,0,Q),r.addTensorList(ue),[2,[ue.idTensor]];case 29:return X=y("tensorListId",e,n,r),Y=y("indices",e,n,r),se=y("elementShape",e,n,r),ee=y("elementDType",e,n,r),[2,[(ue=r.getTensorList(X.id)).gather(Y,ee,se)]];case 30:return ce=y("tensorListId",e,n,r),se=y("elementShape",e,n,r),ee=y("elementDType",e,n,r),J=y("numElements",e,n,r),[2,[(ue=r.getTensorList(ce.id)).stack(se,ee,J)]];case 31:return $=y("tensor",e,n,r),se=y("elementShape",e,n,r),ee=y("elementDType",e,n,r),ue=function(e,n,r){var a=e.dtype;if(e.shape.length<1)throw new Error("Tensor must be at least a vector, but saw shape: ".concat(e.shape));if(e.dtype!==r)throw new Error("Invalid data types; op elements ".concat(e.dtype,", but list elements ").concat(r));Ki(e.shape.slice(1),n,"TensorList shape mismatch: ");var o=t.unstack(e);return new Gi(o,n,a)}($,se,ee),r.addTensorList(ue),[2,[ue.idTensor]];case 32:return te=y("tensorListId",e,n,r),ue=r.getTensorList(te.id),ne=y("dtype",e,n,r),se=y("elementShape",e,n,r),[2,[ue.concat(ne,se)]];case 33:return ce=y("tensorListId",e,n,r),re=y("tensor",e,n,r),(ue=r.getTensorList(ce.id)).pushBack(re),[2,[ue.idTensor]];case 34:return ce=y("tensorListId",e,n,r),se=y("elementShape",e,n,r),ae=y("elementDType",e,n,r),[2,[(ue=r.getTensorList(ce.id)).popBack(se,ae)]];case 35:return oe=y("tensor",e,n,r),se=y("elementShape",e,n,r),ie=y("lengths",e,n,r),ue=function(e,n,r){var a=0,o=n.map((function(e){return a+=e}));if(a!==e.shape[0])throw new Error("Expected sum of lengths to be equal to\n          tensor.shape[0], but sum of lengths is\n        ".concat(a,", and tensor's shape is: ").concat(e.shape));for(var s=Ui(e.shape.slice(1),r),i=0===a?0:e.size/a,u=t.tidy((function(){var r=[];e=t.reshape(e,[1,a,i]);for(var u=0;u<n.length;++u){var c=[0,0===u?0:o[u-1],0],p=[1,n[u],i];r[u]=t.reshape(t.slice(e,c,p),s)}return e.dispose(),r})),c=new Gi([],r,e.dtype,n.length),p=0;p<u.length;p++)c.setItem(p,u[p]);return c}(oe,ie,se),r.addTensorList(ue),[2,[ue.idTensor]];case 36:return ce=y("tensorListId",e,n,r),ue=r.getTensorList(ce.id),[2,[t.scalar(ue.size(),"int32")]];case 37:return ce=y("tensorListId",e,n,r),pe=y("size",e,n,r),le=r.getTensorList(ce.id),de=le.resize(pe),r.addTensorList(de),[2,[de.idTensor]];case 38:throw TypeError("Node type ".concat(e.op," is not implemented"))}}))}))};function Zi(e,t,n){var r=d(y("fusedOps",e,t,n),2),a=r[0],o=r[1],s="biasadd"===a,i=!s,u="prelu"===o,c="fusedbatchnorm"===a,p=y("numArgs",e,t,n);if(s){if(u&&2!==p)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!u&&s&&1!==p)throw new Error("FusedConv2d 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this.handle.id},enumerable:!1,configurable:!0}),e.prototype.clearAndClose=function(){this.tensorMap.forEach((function(e){return e.dispose()})),this.tensorMap.clear(),this.handle.dispose()},e.prototype.size=function(){return this.tensorMap.size},e.prototype.tensorSize=function(){return Gr(this.size(),"int32")},e.prototype.import=function(e,n){return c(this,void 0,void 0,(function(){var r,a=this;return p(this,(function(o){switch(o.label){case 0:return this.checkKeyAndValueTensor(e,n),[4,e.data()];case 1:return r=o.sent(),this.tensorMap.forEach((function(e){return e.dispose()})),this.tensorMap.clear(),[2,t.tidy((function(){var e=t.unstack(n),o=r.length,s=e.length;t.util.assert(o===s,(function(){return"The number of elements doesn't match, keys has "+"".concat(o," elements, the values has ").concat(s," ")+"elements."}));for(var i=0;i<o;i++){var u=r[i],c=e[i];t.keep(c),a.tensorMap.set(u,c)}return a.handle}))]}}))}))},e.prototype.find=function(e,n){return c(this,void 0,void 0,(function(){var r,a=this;return p(this,(function(o){switch(o.label){case 0:return this.checkKeyAndValueTensor(e,n),[4,e.data()];case 1:return r=o.sent(),[2,t.tidy((function(){for(var e=[],o=0;o<r.length;o++){var s=r[o],i=a.findWithDefault(s,n);e.push(i)}return t.stack(e)}))]}}))}))},e.prototype.findWithDefault=function(e,t){var n=this.tensorMap.get(e);return null!=n?n:t},e.prototype.checkKeyAndValueTensor=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}();function Yi(e,n,r,o,s){void 0===s&&(s=a.tidy);var i=function(e,n,r){switch(e.category){case"arithmetic":return s((function(){return function(e,t,n,r){switch(void 0===r&&(r=Bi),e.op){case"BiasAdd":case"AddV2":case"Add":return[r.add(y("a",e,t,n),y("b",e,t,n))];case"AddN":return[r.addN(y("tensors",e,t,n))];case"FloorMod":case"Mod":return[r.mod(y("a",e,t,n),y("b",e,t,n))];case"Mul":return[r.mul(y("a",e,t,n),y("b",e,t,n))];case"RealDiv":case"Div":return[r.div(y("a",e,t,n),y("b",e,t,n))];case"DivNoNan":return[r.divNoNan(y("a",e,t,n),y("b",e,t,n))];case"FloorDiv":return[r.floorDiv(y("a",e,t,n),y("b",e,t,n))];case"Sub":return[r.sub(y("a",e,t,n),y("b",e,t,n))];case"Minimum":return[r.minimum(y("a",e,t,n),y("b",e,t,n))];case"Maximum":return[r.maximum(y("a",e,t,n),y("b",e,t,n))];case"Pow":return[r.pow(y("a",e,t,n),y("b",e,t,n))];case"SquaredDifference":return[r.squaredDifference(y("a",e,t,n),y("b",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}}(e,n,r)}));case"basic_math":return s((function(){return function(e,t,n,r){switch(void 0===r&&(r=Bi),e.op){case"Abs":case"ComplexAbs":return[r.abs(y("x",e,t,n))];case"Acos":return[r.acos(y("x",e,t,n))];case"Acosh":return[r.acosh(y("x",e,t,n))];case"Asin":return[r.asin(y("x",e,t,n))];case"Asinh":return[r.asinh(y("x",e,t,n))];case"Atan":return[r.atan(y("x",e,t,n))];case"Atan2":return[r.atan2(y("x",e,t,n),y("y",e,t,n))];case"Atanh":return[r.atanh(y("x",e,t,n))];case"Ceil":return[r.ceil(y("x",e,t,n))];case"Complex":return[r.complex(y("real",e,t,n),y("imag",e,t,n))];case"Cos":return[r.cos(y("x",e,t,n))];case"Cosh":return[r.cosh(y("x",e,t,n))];case"Elu":return[r.elu(y("x",e,t,n))];case"Erf":return[r.erf(y("x",e,t,n))];case"Exp":return[r.exp(y("x",e,t,n))];case"Expm1":return[r.expm1(y("x",e,t,n))];case"Floor":return[r.floor(y("x",e,t,n))];case"Log":return[r.log(y("x",e,t,n))];case"Log1p":return[r.log1p(y("x",e,t,n))];case"Imag":return[r.imag(y("x",e,t,n))];case"Neg":return[r.neg(y("x",e,t,n))];case"Reciprocal":return[r.reciprocal(y("x",e,t,n))];case"Real":return[r.real(y("x",e,t,n))];case"Relu":return[r.relu(y("x",e,t,n))];case"Round":return[r.round(y("x",e,t,n))];case"Selu":return[r.selu(y("x",e,t,n))];case"Sigmoid":return[r.sigmoid(y("x",e,t,n))];case"Sin":return[r.sin(y("x",e,t,n))];case"Sign":return[r.sign(y("x",e,t,n))];case"Sinh":return[r.sinh(y("x",e,t,n))];case"Softplus":return[r.softplus(y("x",e,t,n))];case"Sqrt":return[r.sqrt(y("x",e,t,n))];case"Square":return[r.square(y("x",e,t,n))];case"Tanh":return[r.tanh(y("x",e,t,n))];case"Tan":return[r.tan(y("x",e,t,n))];case"ClipByValue":return[r.clipByValue(y("x",e,t,n),y("clipValueMin",e,t,n),y("clipValueMax",e,t,n))];case"Relu6":return[r.relu6(y("x",e,t,n))];case"Rsqrt":return[r.rsqrt(v(e.inputNames[0],t,n))];case"LeakyRelu":return[r.leakyRelu(y("x",e,t,n),y("alpha",e,t,n))];case"Prelu":return[r.prelu(y("x",e,t,n),y("alpha",e,t,n))];case"IsNan":return[r.isNaN(v(e.inputNames[0],t,n))];case"IsInf":return[r.isInf(v(e.inputNames[0],t,n))];case"IsFinite":return[r.isFinite(v(e.inputNames[0],t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}}(e,n,r)}));case"control":return Hi(e,n,r);case"convolution":return s((function(){return function(e,t,n,r){switch(void 0===r&&(r=Bi),e.op){case"Conv1D":var a=y("stride",e,t,n),o=y("pad",e,t,n),s=y("dataFormat",e,t,n).toUpperCase(),i=y("dilation",e,t,n);return[r.conv1d(y("x",e,t,n),y("filter",e,t,n),a,o,s,i)];case"Conv2D":a=y("strides",e,t,n),o=w(e,t,n),s=y("dataFormat",e,t,n).toUpperCase();var u=y("dilations",e,t,n);return[r.conv2d(y("x",e,t,n),y("filter",e,t,n),[a[1],a[2]],o,s,[u[1],u[2]])];case"_FusedConv2D":var c=Zi(e,t,n),p=(a=c.stride,o=c.pad,s=c.dataFormat,u=c.dilations,c.biasArg),l=c.preluArg,d=c.activationFunc,h=c.leakyreluAlpha;return[r.fused.conv2d({x:y("x",e,t,n),filter:y("filter",e,t,n),strides:[a[1],a[2]],pad:o,dataFormat:s,dilations:[u[1],u[2]],bias:p,activation:d,preluActivationWeights:l,leakyreluAlpha:h})];case"FusedDepthwiseConv2dNative":var f=Zi(e,t,n);return a=f.stride,o=f.pad,s=f.dataFormat,u=f.dilations,p=f.biasArg,l=f.preluArg,d=f.activationFunc,h=f.leakyreluAlpha,[r.fused.depthwiseConv2d({x:y("x",e,t,n),filter:y("filter",e,t,n),strides:[a[1],a[2]],pad:o,dataFormat:s,dilations:[u[1],u[2]],bias:p,activation:d,preluActivationWeights:l,leakyreluAlpha:h})];case"Conv2DBackpropInput":case"Conv2dTranspose":var m=y("outputShape",e,t,n);return a=y("strides",e,t,n),o=w(e,t,n),[r.conv2dTranspose(y("x",e,t,n),y("filter",e,t,n),m,[a[1],a[2]],o)];case"DepthwiseConv2dNative":case"DepthwiseConv2d":return a=y("strides",e,t,n),o=w(e,t,n),u=y("dilations",e,t,n),s=y("dataFormat",e,t,n).toUpperCase(),[r.depthwiseConv2d(y("input",e,t,n),y("filter",e,t,n),[a[1],a[2]],o,s,[u[1],u[2]])];case"Conv3D":return a=y("strides",e,t,n),o=y("pad",e,t,n),s=y("dataFormat",e,t,n).toUpperCase(),u=y("dilations",e,t,n),[r.conv3d(y("x",e,t,n),y("filter",e,t,n),[a[1],a[2],a[3]],o,s,[u[1],u[2],u[3]])];case"AvgPool":a=y("strides",e,t,n),o=y("pad",e,t,n);var v=y("kernelSize",e,t,n);return[r.avgPool(y("x",e,t,n),[v[1],v[2]],[a[1],a[2]],o)];case"MaxPool":return a=y("strides",e,t,n),o=y("pad",e,t,n),v=y("kernelSize",e,t,n),[r.maxPool(y("x",e,t,n),[v[1],v[2]],[a[1],a[2]],o)];case"MaxPoolWithArgmax":a=y("strides",e,t,n),o=y("pad",e,t,n),v=y("kernelSize",e,t,n);var g=y("includeBatchInIndex",e,t,n),b=r.maxPoolWithArgmax(y("x",e,t,n),[v[1],v[2]],[a[1],a[2]],o,g);return[b.result,b.indexes];case"AvgPool3D":return a=y("strides",e,t,n),o=y("pad",e,t,n),v=y("kernelSize",e,t,n),[r.avgPool3d(y("x",e,t,n),[v[1],v[2],v[3]],[a[1],a[2],a[3]],o)];case"MaxPool3D":return a=y("strides",e,t,n),o=y("pad",e,t,n),v=y("kernelSize",e,t,n),[r.maxPool3d(y("x",e,t,n),[v[1],v[2],v[3]],[a[1],a[2],a[3]],o)];case"Dilation2D":var x=y("strides",e,t,n),N=(o=y("pad",e,t,n),u=y("dilations",e,t,n),x[1]),k=x[2],T=u[1],S=u[2];return[r.dilation2d(y("x",e,t,n),y("filter",e,t,n),[N,k],o,[T,S],"NHWC")];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}}(e,n,r)}));case"creation":return s((function(){return function(e,t,n,r){switch(void 0===r&&(r=Bi),e.op){case"Fill":var a=y("shape",e,t,n),o=y("dtype",e,t,n),s=y("value",e,t,n);return[r.fill(a,s,o)];case"LinSpace":var i=y("start",e,t,n),u=y("stop",e,t,n),c=y("num",e,t,n);return[r.linspace(i,u,c)];case"Multinomial":var p=y("logits",e,t,n),l=y("numSamples",e,t,n),d=y("seed",e,t,n);return[r.multinomial(p,l,d)];case"OneHot":var h=y("indices",e,t,n),f=y("depth",e,t,n),m=y("onValue",e,t,n),v=y("offValue",e,t,n);return o=y("dtype",e,t,n),[r.oneHot(h,f,m,v,o)];case"Ones":return[r.ones(y("shape",e,t,n),y("dtype",e,t,n))];case"OnesLike":return[r.onesLike(y("x",e,t,n))];case"RandomStandardNormal":return[r.randomStandardNormal(y("shape",e,t,n),y("dtype",e,t,n),y("seed",e,t,n))];case"RandomUniform":return[r.randomUniform(y("shape",e,t,n),y("minval",e,t,n),y("maxval",e,t,n),y("dtype",e,t,n))];case"RandomUniformInt":return[r.randomUniformInt(y("shape",e,t,n),y("minval",e,t,n),y("maxval",e,t,n),y("seed",e,t,n))];case"Range":i=y("start",e,t,n),u=y("stop",e,t,n);var g=y("step",e,t,n);return[r.range(i,u,g,y("dtype",e,t,n))];case"TruncatedNormal":a=y("shape",e,t,n);var b=y("mean",e,t,n),x=y("stdDev",e,t,n);return d=y("seed",e,t,n),[r.truncatedNormal(a,b,x,y("dtype",e,t,n),d)];case"Zeros":return[r.zeros(y("shape",e,t,n),y("dtype",e,t,n))];case"ZerosLike":return[r.zerosLike(y("x",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}}(e,n,r)}));case"dynamic":return function(e,t,n,r,a){return void 0===a&&(a=Bi),c(void 0,void 0,void 0,(function(){var r,o,s,i,u,c,l,d,h,f,m,v;return p(this,(function(p){switch(p.label){case 0:switch(e.op){case"NonMaxSuppressionV5":return[3,1];case"NonMaxSuppressionV4":return[3,3];case"NonMaxSuppressionV3":case"NonMaxSuppressionV2":return[3,5];case"Where":return[3,7];case"ListDiff":return[3,9]}return[3,10];case 1:return r=Qi(e,t,n),c=r.boxes,l=r.scores,d=r.maxOutputSize,h=r.iouThreshold,f=r.scoreThreshold,o=r.softNmsSigma,[4,a.image.nonMaxSuppressionWithScoreAsync(c,l,d,h,f,o)];case 2:return[2,[(v=p.sent()).selectedIndices,v.selectedScores]];case 3:return s=Qi(e,t,n),c=s.boxes,l=s.scores,d=s.maxOutputSize,h=s.iouThreshold,f=s.scoreThreshold,i=y("padToMaxOutputSize",e,t,n),[4,a.image.nonMaxSuppressionPaddedAsync(c,l,d,h,f,i)];case 4:return[2,[(v=p.sent()).selectedIndices,v.validOutputs]];case 5:return u=Qi(e,t,n),c=u.boxes,l=u.scores,d=u.maxOutputSize,h=u.iouThreshold,f=u.scoreThreshold,[4,a.image.nonMaxSuppressionAsync(c,l,d,h,f)];case 6:return[2,[p.sent()]];case 7:return m=a.cast(y("condition",e,t,n),"bool"),[4,a.whereAsync(m)];case 8:return v=[p.sent()],m.dispose(),[2,v];case 9:return[2,a.setdiff1dAsync(y("x",e,t,n),y("y",e,t,n))];case 10:throw TypeError("Node type ".concat(e.op," is not implemented"))}}))}))}(e,n,r);case"evaluation":return s((function(){return function(e,t,n,r){switch(void 0===r&&(r=Bi),e.op){case"LowerBound":var a=y("sortedSequence",e,t,n),o=y("values",e,t,n);return[r.lowerBound(a,o)];case"TopKV2":var s=y("x",e,t,n),i=y("k",e,t,n),u=y("sorted",e,t,n);return[(c=r.topk(s,i,u)).values,c.indices];case"UpperBound":return a=y("sortedSequence",e,t,n),o=y("values",e,t,n),[r.upperBound(a,o)];case"Unique":return s=y("x",e,t,n),[(c=r.unique(s)).values,c.indices];case"UniqueV2":s=y("x",e,t,n);var c,p=y("axis",e,t,n);return[(c=r.unique(s,p)).values,c.indices];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}}(e,n,r)}));case"image":return s((function(){return function(e,t,n,r){switch(void 0===r&&(r=Bi),e.op){case"ResizeBilinear":var a=y("images",e,t,n),o=y("size",e,t,n),s=y("alignCorners",e,t,n),i=y("halfPixelCenters",e,t,n);return[r.image.resizeBilinear(a,[o[0],o[1]],s,i)];case"ResizeNearestNeighbor":return a=y("images",e,t,n),o=y("size",e,t,n),s=y("alignCorners",e,t,n),i=y("halfPixelCenters",e,t,n),[r.image.resizeNearestNeighbor(a,[o[0],o[1]],s,i)];case"CropAndResize":var u=y("image",e,t,n),c=y("boxes",e,t,n),p=y("boxInd",e,t,n),l=y("cropSize",e,t,n),d=y("method",e,t,n),h=y("extrapolationValue",e,t,n);return[r.image.cropAndResize(u,c,p,l,d,h)];case"ImageProjectiveTransformV3":a=y("images",e,t,n);var f=y("transforms",e,t,n),m=y("outputShape",e,t,n),v=y("fillValue",e,t,n),g=y("interpolation",e,t,n),b=y("fillMode",e,t,n);return[r.image.transform(a,f,g.toLowerCase(),b.toLowerCase(),v,m)];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}}(e,n,r)}));case"graph":return s((function(){return function(e,t,n,r){switch(void 0===r&&(r=Bi),e.op){case"Const":return t[e.name];case"PlaceholderWithDefault":var a=y("default",e,t,n);return[v(e.name,t,n)||a];case"Placeholder":return[v(e.name,t,n)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":case"Snapshot":return[k(y("x",e,t,n))];case"IdentityN":return y("x",e,t,n).map((function(e){return k(e)}));case"Shape":return[r.tensor1d(y("x",e,t,n).shape,"int32")];case"ShapeN":return y("x",e,t,n).map((function(e){return r.tensor1d(e.shape)}));case"Size":return[r.scalar(y("x",e,t,n).size,"int32")];case"Rank":return[r.scalar(y("x",e,t,n).rank,"int32")];case"NoOp":return[r.scalar(1)];case"Print":var o=y("x",e,t,n),s=y("data",e,t,n),i=y("message",e,t,n),u=y("summarize",e,t,n);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(i);for(var c=0;c<s.length;c++)console.log(Array.prototype.slice.call(s[c].dataSync()).slice(0,u));return[o];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}}(e,n,r)}));case"logical":return s((function(){return function(e,t,n,r){switch(void 0===r&&(r=Bi),e.op){case"Equal":return[r.equal(y("a",e,t,n),y("b",e,t,n))];case"NotEqual":return[r.notEqual(y("a",e,t,n),y("b",e,t,n))];case"Greater":return[r.greater(y("a",e,t,n),y("b",e,t,n))];case"GreaterEqual":return[r.greaterEqual(y("a",e,t,n),y("b",e,t,n))];case"Less":return[r.less(y("a",e,t,n),y("b",e,t,n))];case"LessEqual":return[r.lessEqual(y("a",e,t,n),y("b",e,t,n))];case"LogicalAnd":return[r.logicalAnd(y("a",e,t,n),y("b",e,t,n))];case"LogicalNot":return[r.logicalNot(y("a",e,t,n))];case"LogicalOr":return[r.logicalOr(y("a",e,t,n),y("b",e,t,n))];case"Select":case"SelectV2":return[r.where(y("condition",e,t,n),y("a",e,t,n),y("b",e,t,n))];case"BitwiseAnd":return[r.bitwiseAnd(y("a",e,t,n),y("b",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}}(e,n,r)}));case"matrices":return s((function(){return function(e,t,n,r){switch(void 0===r&&(r=Bi),e.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[r.matMul(y("a",e,t,n),y("b",e,t,n),y("transposeA",e,t,n),y("transposeB",e,t,n))];case"Einsum":return[r.einsum.apply(r,h([y("equation",e,t,n)],d(y("tensors",e,t,n)),!1))];case"Transpose":return[r.transpose(y("x",e,t,n),y("perm",e,t,n))];case"_FusedMatMul":var a=d(y("fusedOps",e,t,n),2),o=a[0],s=a[1],i="biasadd"===o,u="prelu"===s,c=y("numArgs",e,t,n),p=y("leakyreluAlpha",e,t,n);if(i){if(u&&2!==c)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!u&&1!==c)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}var l=d(y("args",e,t,n),2),f=l[0],m=l[1];return[r.fused.matMul({a:y("a",e,t,n),b:y("b",e,t,n),transposeA:y("transposeA",e,t,n),transposeB:y("transposeB",e,t,n),bias:f,activation:s,preluActivationWeights:m,leakyreluAlpha:p})];case"MatrixBandPart":return[r.linalg.bandPart(y("a",e,t,n),y("numLower",e,t,n),y("numUpper",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}}(e,n,r)}));case"normalization":return s((function(){return function(e,t,n,r){switch(void 0===r&&(r=Bi),e.op){case"EuclideanNorm":return[r.euclideanNorm(y("x",e,t,n),y("axis",e,t,n),y("keepDims",e,t,n))];case"FusedBatchNorm":case"FusedBatchNormV2":case"FusedBatchNormV3":return[r.batchNorm(y("x",e,t,n),y("mean",e,t,n),y("variance",e,t,n),y("offset",e,t,n),y("scale",e,t,n),y("epsilon",e,t,n))];case"LRN":return[r.localResponseNormalization(y("x",e,t,n),y("radius",e,t,n),y("bias",e,t,n),y("alpha",e,t,n),y("beta",e,t,n))];case"Softmax":return[r.softmax(y("x",e,t,n))];case"LogSoftmax":return[r.logSoftmax(y("x",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}}(e,n,r)}));case"ragged":return s((function(){return function(e,t,n,r){switch(void 0===r&&(r=Bi),e.op){case"RaggedGather":var a=r.raggedGather(y("paramsNestedSplits",e,t,n),y("paramsDenseValues",e,t,n),y("indices",e,t,n),y("outputRaggedRank",e,t,n)),o=a.outputNestedSplits,s=a.outputDenseValues;return o.concat(s);case"RaggedRange":var i=r.raggedRange(y("starts",e,t,n),y("limits",e,t,n),y("splits",e,t,n));return[i.rtNestedSplits,i.rtDenseValues];case"RaggedTensorToTensor":return[r.raggedTensorToTensor(y("shape",e,t,n),y("values",e,t,n),y("defaultValue",e,t,n),y("rowPartitionTensors",e,t,n),y("rowPartitionTypes",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}}(e,n,r)}));case"reduction":return s((function(){return function(e,t,n,r){switch(void 0===r&&(r=Bi),e.op){case"Max":var a=y("axis",e,t,n),o=y("keepDims",e,t,n);return[r.max(y("x",e,t,n),a,o)];case"Mean":return a=y("axis",e,t,n),o=y("keepDims",e,t,n),[r.mean(y("x",e,t,n),a,o)];case"Min":return a=y("axis",e,t,n),o=y("keepDims",e,t,n),[r.min(y("x",e,t,n),a,o)];case"Sum":return a=y("axis",e,t,n),o=y("keepDims",e,t,n),[r.sum(y("x",e,t,n),a,o)];case"All":return a=y("axis",e,t,n),o=y("keepDims",e,t,n),[r.all(y("x",e,t,n),a,o)];case"Any":return a=y("axis",e,t,n),o=y("keepDims",e,t,n),[r.any(y("x",e,t,n),a,o)];case"ArgMax":return a=y("axis",e,t,n),[r.argMax(y("x",e,t,n),a)];case"ArgMin":return a=y("axis",e,t,n),[r.argMin(y("x",e,t,n),a)];case"Prod":return a=y("axis",e,t,n),o=y("keepDims",e,t,n),[r.prod(y("x",e,t,n),a,o)];case"Cumprod":a=y("axis",e,t,n);var s=y("exclusive",e,t,n),i=y("reverse",e,t,n);return[r.cumprod(y("x",e,t,n),a,s,i)];case"Cumsum":return a=y("axis",e,t,n),s=y("exclusive",e,t,n),i=y("reverse",e,t,n),[r.cumsum(y("x",e,t,n),a,s,i)];case"Bincount":var u=y("x",e,t,n),c=y("weights",e,t,n),p=y("size",e,t,n);return[r.bincount(u,c,p)];case"DenseBincount":var l=y("x",e,t,n),d=y("weights",e,t,n),h=y("size",e,t,n),f=y("binaryOutput",e,t,n);return[r.denseBincount(l,d,h,f)];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}}(e,n,r)}));case"slice_join":return s((function(){return function(e,n,r,a){switch(void 0===a&&(a=Bi),e.op){case"ConcatV2":case"Concat":var o=y("n",e,n,r),s=y("axis",e,n,r),i=y("tensors",e,n,r);return i=i.slice(0,o),[a.concat(i,s)];case"Gather":var u=y("x",e,n,r),c=y("indices",e,n,r);return[a.gather(u,a.cast(c,"int32"),0)];case"GatherV2":s=y("axis",e,n,r);var p=y("batchDims",e,n,r);return u=y("x",e,n,r),c=y("indices",e,n,r),[a.gather(u,a.cast(c,"int32"),s,p)];case"Reverse":for(var l=y("dims",e,n,r),d=(s=[],0);d<l.length;d++)l[d]&&s.push(d);return u=y("x",e,n,r),[a.reverse(u,s)];case"ReverseV2":return s=y("axis",e,n,r),u=y("x",e,n,r),[a.reverse(u,s)];case"Slice":var h=y("begin",e,n,r),f=y("size",e,n,r);return[a.slice(y("x",e,n,r),h,f)];case"StridedSlice":h=y("begin",e,n,r);var m=y("end",e,n,r),v=y("strides",e,n,r),g=y("beginMask",e,n,r),b=y("endMask",e,n,r),x=y("ellipsisMask",e,n,r),N=y("newAxisMask",e,n,r),w=y("shrinkAxisMask",e,n,r),k=y("x",e,n,r);return[a.stridedSlice(k,h,m,v,g,b,x,N,w)];case"Pack":return t.tidy((function(){var o=y("axis",e,n,r),s=y("tensors",e,n,r),i=s[0].shape,u=a.squeeze(s[0]).shape,c=s.map((function(e){var n=t.util.arraysEqual(e.shape,i);if(!n&&!t.util.arraysEqual(a.squeeze(e).shape,u))throw new Error("the input tensors shape does not match");return n?e:a.reshape(e,i)}));return[a.stack(c,o)]}));case"Unpack":return s=y("axis",e,n,r),k=y("tensor",e,n,r),a.unstack(k,s);case"Tile":var T=y("reps",e,n,r);return[a.tile(y("x",e,n,r),T)];case"Split":case"SplitV":s=y("axis",e,n,r);var S=y("numOrSizeSplits",e,n,r);return k=y("x",e,n,r),a.split(k,S,s);case"ScatterNd":c=y("indices",e,n,r);var _=y("values",e,n,r),E=y("shape",e,n,r);return[a.scatterND(c,_,E)];case"GatherNd":var I=y("x",e,n,r);return c=y("indices",e,n,r),[a.gatherND(I,c)];case"SparseToDense":c=y("sparseIndices",e,n,r),E=y("outputShape",e,n,r);var O=y("sparseValues",e,n,r),A=y("defaultValue",e,n,r);return[a.sparseToDense(c,O,E,O.dtype===A.dtype?A:a.cast(A,O.dtype))];case"TensorScatterUpdate":return c=y("indices",e,n,r),_=y("values",e,n,r),k=y("tensor",e,n,r),[a.tensorScatterUpdate(k,c,_)];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}}(e,n,r)}));case"sparse":return s((function(){return function(e,t,n,r){switch(void 0===r&&(r=Bi),e.op){case"SparseFillEmptyRows":var a=r.sparse.sparseFillEmptyRows(y("indices",e,t,n),y("values",e,t,n),y("denseShape",e,t,n),y("defaultValue",e,t,n));return[a.outputIndices,a.outputValues,a.emptyRowIndicator,a.reverseIndexMap];case"SparseReshape":var o=r.sparse.sparseReshape(y("inputIndices",e,t,n),y("inputShape",e,t,n),y("newShape",e,t,n));return[o.outputIndices,o.outputShape];case"SparseSegmentMean":return[r.sparse.sparseSegmentMean(y("data",e,t,n),y("indices",e,t,n),y("segmentIds",e,t,n))];case"SparseSegmentSum":return[r.sparse.sparseSegmentSum(y("data",e,t,n),y("indices",e,t,n),y("segmentIds",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}}(e,n,r)}));case"spectral":return s((function(){return function(e,t,n,r){switch(void 0===r&&(r=Bi),e.op){case"FFT":return[r.fft(y("x",e,t,n))];case"IFFT":return[r.ifft(y("x",e,t,n))];case"RFFT":return[r.rfft(y("x",e,t,n))];case"IRFFT":return[r.irfft(y("x",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}}(e,n,r)}));case"string":return s((function(){return function(e,t,n,r){switch(void 0===r&&(r=Bi),e.op){case"StaticRegexReplace":return[r.string.staticRegexReplace(y("input",e,t,n),y("pattern",e,t,n),y("rewrite",e,t,n),y("replaceGlobal",e,t,n))];case"StringNGrams":var a=r.string.stringNGrams(y("data",e,t,n),y("dataSplits",e,t,n),y("separator",e,t,n),y("nGramWidths",e,t,n),y("leftPad",e,t,n),y("rightPad",e,t,n),y("padWidth",e,t,n),y("preserveShortSequences",e,t,n));return[a.nGrams,a.nGramsSplits];case"StringSplit":var o=r.string.stringSplit(y("input",e,t,n),y("delimiter",e,t,n),y("skipEmpty",e,t,n));return[o.indices,o.values,o.shape];case"StringToHashBucketFast":return[r.string.stringToHashBucketFast(y("input",e,t,n),y("numBuckets",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}}(e,n,r)}));case"transformation":return s((function(){return function(e,t,n,r){switch(void 0===r&&(r=Bi),e.op){case"Cast":return[r.cast(y("x",e,t,n),y("dtype",e,t,n))];case"ExpandDims":var a=y("axis",e,t,n);return[r.expandDims(y("x",e,t,n),a)];case"Squeeze":return a=y("axis",e,t,n),[r.squeeze(y("x",e,t,n),a)];case"Reshape":return[r.reshape(y("x",e,t,n),y("shape",e,t,n))];case"EnsureShape":return[r.ensureShape(y("x",e,t,n),y("shape",e,t,n))];case"MirrorPad":return[r.mirrorPad(y("x",e,t,n),y("padding",e,t,n),y("mode",e,t,n))];case"PadV2":case"Pad":return[r.pad(y("x",e,t,n),y("padding",e,t,n),y("constantValue",e,t,n))];case"SpaceToBatchND":var o=y("blockShape",e,t,n),s=y("paddings",e,t,n);return[r.spaceToBatchND(y("x",e,t,n),o,s)];case"BatchToSpaceND":o=y("blockShape",e,t,n);var i=y("crops",e,t,n);return[r.batchToSpaceND(y("x",e,t,n),o,i)];case"DepthToSpace":var u=y("blockSize",e,t,n),c=y("dataFormat",e,t,n).toUpperCase();return[r.depthToSpace(y("x",e,t,n),u,c)];case"BroadcastTo":return[r.broadcastTo(y("x",e,t,n),y("shape",e,t,n))];case"BroadcastArgs":return[r.broadcastArgs(y("s0",e,t,n),y("s1",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}}(e,n,r)}));case"hash_table":return function(e,t,n,r){return c(void 0,void 0,void 0,(function(){var a,o,s,i,u,c,l,d;return p(this,(function(p){switch(p.label){case 0:switch(e.op){case"HashTable":case"HashTableV2":return[3,1];case"InitializeTable":case"InitializeTableV2":case"LookupTableImport":case"LookupTableImportV2":return[3,2];case"LookupTableFind":case"LookupTableFindV2":return[3,4];case"LookupTableSize":case"LookupTableSizeV2":return[3,6]}return[3,7];case 1:return null!=(a=r.getHashTableHandleByName(e.name))?[2,[a]]:(o=y("keyDType",e,t,n),s=y("valueDType",e,t,n),d=new Xi(o,s),r.addHashTable(e.name,d),[2,[d.handle]]);case 2:return l=y("tableHandle",e,t,n,r),u=y("keys",e,t,n),i=y("values",e,t,n),[4,(d=r.getHashTableById(l.id)).import(u,i)];case 3:case 5:return[2,[p.sent()]];case 4:return l=y("tableHandle",e,t,n,r),u=y("keys",e,t,n),c=y("defaultValue",e,t,n),[4,(d=r.getHashTableById(l.id)).find(u,c)];case 6:return l=y("tableHandle",e,t,n,r),[2,[(d=r.getHashTableById(l.id)).tensorSize()]];case 7:throw TypeError("Node type ".concat(e.op," is not implemented"))}}))}))}(e,n,r,o);case"custom":var a=m(e.op);if(a&&a.customExecutor)return a.customExecutor(new ae(e,n,r));throw TypeError("Custom op ".concat(e.op," is not registered."));default:throw TypeError("Unknown op '".concat(e.op,"'. File an issue at ")+"https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()")}}(e,n,r);return a.util.isPromise(i)?i.then((function(e){return[].concat(e)})):[].concat(i)}var Ji=function(){function e(e,t,n,r,a){void 0===e&&(e={}),void 0===t&&(t={}),void 0===n&&(n={}),void 0===r&&(r={}),this.weightMap=e,this.tensorArrayMap=t,this.tensorListMap=n,this.functionMap=r,this.parseNodeNameCache=a,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}return e.prototype.newFrame=function(e,t){return{id:e,frameName:t,iterationId:0}},Object.defineProperty(e.prototype,"currentContext",{get:function(){return this.contexts},set:function(e){this.contexts!==e&&(this.contexts=e,this.generateCurrentContextIds())},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"currentContextId",{get:function(){return this._currentContextIds[0]},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"currentContextIds",{get:function(){return this._currentContextIds},enumerable:!1,configurable:!0}),e.prototype.generateCurrentContextIds=function(){for(var e=[],t=0;t<this.contexts.length-1;t++){var n=this.contexts.slice(0,this.contexts.length-t);e.push(this.contextIdforContexts(n))}e.push(""),this._currentContextIds=e},e.prototype.contextIdforContexts=function(e){return e?e.map((function(e){return 0===e.id&&0===e.iterationId?"":"".concat(e.frameName,"-").concat(e.iterationId)})).join("/"):""},e.prototype.enterFrame=function(e){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,e)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))},e.prototype.exitFrame=function(){if(!(this.contexts&&this.contexts.length>1))throw new Error("Cannot exit frame, the context is empty");this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift()},e.prototype.nextIteration=function(){if(!(this.contexts&&this.contexts.length>0))throw new Error("Cannot increase frame iteration, the context is empty");this.contexts=this.contexts.slice(),this.lastId++;var e=Object.assign({},this.contexts[this.contexts.length-1]);e.iterationId+=1,e.id=this.lastId,this.contexts.splice(-1,1,e),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))},e.prototype.getWeight=function(e){return this.weightMap[e]},e.prototype.addTensorArray=function(e){this.tensorArrayMap[e.id]=e},e.prototype.getTensorArray=function(e){return this.tensorArrayMap[e]},e.prototype.addTensorList=function(e){this.tensorListMap[e.id]=e},e.prototype.getTensorList=function(e){return this.tensorListMap[e]},e.prototype.dispose=function(e){for(var t in this.tensorArrayMap)this.tensorArrayMap[t].clearAndClose(e);for(var t in this.tensorListMap)this.tensorListMap[t].clearAndClose(e)},e}();function $i(e,t,n,r){var a=new Set,o=[],s=null,i=null,u=new Set,c=new Set(Object.keys(e).map((function(e){return N(e)[0]})));r=r||[];for(var p=new Set(r.map((function(e){return N(e.name)[0]}))),l=h([],d(t),!1);l.length>0;){var f=l.pop();(ou(f)||su(f)||iu(f))&&null==s&&(i=(s=f).children.map((function(e){return e.name})).filter((function(e){return a.has(e)}))),a.add(f.name),null==n[f.name]&&(c.has(f.name)||p.has(f.name)||(0!==f.inputs.length?f.inputs.forEach((function(e){u.has(e.name)||(u.add(e.name),l.push(e))})):o.push(f.name)))}return{inputs:e,outputs:t,usedNodes:a,missingInputs:o,dynamicNode:s,syncInputs:i}}function eu(e,t){var n,r,a,o,s,i,u=t.usedNodes,c=t.inputs,p=Object.keys(c).map((function(e){return N(e)[0]})).map((function(t){return e.nodes[t]})),f=e.initNodes||[],m=function(e){return u.has("string"==typeof e?e:e.name)};function y(e){return h([],d(new Map(e.map((function(e){return[e.name,e]}))).values()),!1)}var v=y(h(h(h([],d(p),!1),d(e.weights),!1),d(f),!1)).filter(m),g=y(h(h([],d(v),!1),d(Object.values(e.nodes)),!1)).filter(m),b=new Map(g.map((function(e){return[e.name,e]}))),x={};try{for(var w=l(g),k=w.next();!k.done;k=w.next()){x[(O=k.value).name]=x[O.name]||0;try{for(var T=(a=void 0,l(O.children)),S=T.next();!S.done;S=T.next()){m(M=S.value)||(x[M.name]=Number.POSITIVE_INFINITY),x[M.name]=(x[M.name]||0)+1}}catch(e){a={error:e}}finally{try{S&&!S.done&&(o=T.return)&&o.call(T)}finally{if(a)throw a.error}}}}catch(e){n={error:e}}finally{try{k&&!k.done&&(r=w.return)&&r.call(w)}finally{if(n)throw n.error}}for(var _=Object.entries(x).filter((function(e){return 0===d(e,2)[1]})).map((function(e){return d(e,1)[0]})),E=h([],d(_),!1);_.length>0;){var I=_.pop(),O=b.get(I);try{for(var A=(s=void 0,l(O.children.filter(m))),D=A.next();!D.done;D=A.next()){var M;0==--x[(M=D.value).name]&&(E.push(M.name),_.push(M.name))}}catch(e){s={error:e}}finally{try{D&&!D.done&&(i=A.return)&&i.call(A)}finally{if(s)throw s.error}}}var C=function(e,t){var n,r,a=new Map(e.map((function(e){return[e.name,e]}))),o=t.map((function(e){return e.name})),s=new Set(o);for(;o.length>0;){var i=o.pop(),u=a.get(i);try{for(var c=(n=void 0,l(u.children)),p=c.next();!p.done;p=c.next()){var d=p.value;a.has(d.name)&&!s.has(d.name)&&(s.add(d.name),o.push(d.name))}}catch(e){n={error:e}}finally{try{p&&!p.done&&(r=c.return)&&r.call(c)}finally{if(n)throw n.error}}}var h=e.filter((function(e){return s.has(e.name)}));return h}(E.map((function(e){return b.get(e)})),v);return function(e,t){var n,r,a,o,s,i,u=new Map(e.map((function(e,t){return[e.name,t]}))),c=new Set(t.map((function(e){return e.name}))),p=function(e){return c.has("string"==typeof e?e:e.name)},d=new Set(e.map((function(e){return e.name}))),h=function(e){return d.has("string"==typeof e?e:e.name)};try{for(var f=l(e),m=f.next();!m.done;m=f.next()){var y=m.value;try{for(var v=(a=void 0,l(y.children.filter(h))),g=v.next();!g.done;g=v.next()){var b=g.value;if(!u.has(b.name))throw new tu("Child ".concat(b.name," of node ").concat(y.name," is unreachable."));if(u.get(y.name)>u.get(b.name))throw new tu("Node ".concat(y.name," is scheduled to run after its child ").concat(b.name,"."))}}catch(e){a={error:e}}finally{try{g&&!g.done&&(o=v.return)&&o.call(v)}finally{if(a)throw a.error}}if(!p(y))try{for(var x=(s=void 0,l(y.inputs)),N=x.next();!N.done;N=x.next()){var w=N.value;if(!u.has(w.name))throw new tu("Input ".concat(w.name," of node ").concat(y.name," is unreachable."));if(u.get(w.name)>u.get(y.name))throw new tu("Node ".concat(y.name," is scheduled to run before its input ").concat(w.name,"."))}}catch(e){s={error:e}}finally{try{N&&!N.done&&(i=x.return)&&i.call(x)}finally{if(s)throw s.error}}}}catch(e){n={error:e}}finally{try{m&&!m.done&&(r=f.return)&&r.call(f)}finally{if(n)throw n.error}}}(C,v),C}var tu=function(e){function t(t){return e.call(this,"NodesExecutionOrderError: ".concat(t))||this}return u(t,e),t}(Error);var nu=new Set(["Switch","Merge","Enter","Exit","NextIteration","StatelessIf","StatelessWhile","if","While"]),ru=new Set(["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"]),au=new Set(["HashTable","HashTableV2","LookupTableImport","LookupTableImportV2","LookupTableFind","LookupTableFindV2","LookupTableSize","LookupTableSizeV2"]);function ou(e){return nu.has(e.op)}function su(e){return ru.has(e.op)}function iu(e){return au.has(e.op)}var uu=function(){function e(t,n){var r=this;this.graph=t,this.parent=n,this.compiledMap=new Map,this.parseNodeNameCache=new Map,this._weightMap={},this.SEPARATOR=",",this._functions={},this._functionExecutorMap={},this.keepIntermediateTensors=!1,this._outputs=t.outputs,this._inputs=t.inputs,this._initNodes=t.initNodes,this._signature=t.signature,this._functions=t.functions,null!=t.functions&&Object.keys(t.functions).forEach((function(n){r._functionExecutorMap[n]=new e(t.functions[n],r)}))}return Object.defineProperty(e.prototype,"weightIds",{get:function(){return this.parent?this.parent.weightIds:this._weightIds},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"functionExecutorMap",{get:function(){return this.parent?this.parent.functionExecutorMap:this._functionExecutorMap},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"weightMap",{get:function(){return this.parent?this.parent.weightMap:this._weightMap},set:function(e){var t=Object.keys(e).map((function(t){return e[t].map((function(e){return e.id}))}));this._weightIds=[].concat.apply([],h([],d(t),!1)),this._weightMap=e},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"resourceManager",{set:function(e){this._resourceManager=e},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"inputs",{get:function(){return this._inputs.map((function(e){return{name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}}))},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"outputs",{get:function(){return this._outputs.map((function(e){return{name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}}))},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"inputNodes",{get:function(){return this._inputs.map((function(e){return e.signatureKey||e.name}))},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"outputNodes",{get:function(){return this._outputs.map((function(e){var t=e.signatureKey||e.name;return e.defaultOutput?"".concat(t,":").concat(e.defaultOutput):t}))},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"functions",{get:function(){var e=this;return Object.keys(this._functions).reduce((function(t,n){return t[n]=e._functions[n].signature,t}),{})},enumerable:!1,configurable:!0}),e.prototype.getCompilationKey=function(e,t){var n=e.map((function(e){return e.name})).sort(),r=t.map((function(e){return e.name})).sort();return n.join(this.SEPARATOR)+"--"+r.join(this.SEPARATOR)},e.prototype.compile=function(e,t){var n=$i(e,t,this.weightMap,this._initNodes),r=n.missingInputs,a=n.dynamicNode,o=n.syncInputs;if(null!=a)throw new Error("This execution contains the node '".concat(a.name,"', which has ")+"the dynamic op '".concat(a.op,"'. Please use ")+"model.executeAsync() instead. Alternatively, to avoid the "+"dynamic ops, specify the inputs [".concat(o,"]"));if(r.length>0){var s=t.map((function(e){return e.name})),i=Object.keys(e);throw new Error("Cannot compute the outputs [".concat(s,"] from the provided inputs ")+"[".concat(i,"]. Missing the following inputs: [").concat(r,"]"))}var u=eu(this.graph,n),c=function(e){for(var t=new Map(e.map((function(e,t){return[e.name,t]}))),n=Number.MAX_SAFE_INTEGER,r=e.map((function(e,t){return ou(e)?n:t})),a=function(e){var n=r[t.get(e.name)];return null==n?-1:n},o=e.map((function(e,t){return e.children.map(a).reduce((function(e,t){return Math.max(e,t)}),r[t])})),s=new Map,i=0;i<e.length;++i){var u=o[i];if(u!==n){var c=e[i],p=e[u];s.has(p.name)||s.set(p.name,[]),s.get(p.name).push(c)}}return s}(u);return{orderedNodes:u,nodeLiveUntilMap:c}},e.prototype.cloneAndKeepTensor=function(e){if(null==e)return null;var n=e.clone();return t.keep(n),n},e.prototype.cloneTensorList=function(e){var t=this;if(!e)return null;var n=e.map((function(e){return t.cloneAndKeepTensor(e)}));return n},e.prototype.cloneTensorMap=function(e){var t=this;return Object.fromEntries(Object.entries(e).map((function(e){var n=d(e,2),r=n[0],a=n[1];return[r,t.cloneTensorList(a)]})))},e.prototype.execute=function(e,n){var r=this;this.disposeIntermediateTensors(),e=this.mapInputs(e);var a=Object.keys(e).sort();this.checkInputs(e),this.checkInputShapeAndType(e),n=this.mapOutputs(n),this.checkOutputs(n);var o=a.map((function(e){return r.graph.nodes[N(e)[0]]})),s=n.map((function(e){return N(e)[0]})),i=new Set(s),u=s.map((function(e){return r.graph.nodes[e]}));0===u.length&&(u=this._outputs);var c=this.getCompilationKey(o,u),p=this.compiledMap.get(c);null==p&&(p=this.compile(e,u),this.compiledMap.set(c,p));try{this.keepIntermediateTensors=t.env().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(e){this.keepIntermediateTensors=!1,console.warn(e.message)}var h={},f={};return t.tidy((function(){var a,o,s=new Ji(r.weightMap,h,f,r.functionExecutorMap,r.parseNodeNameCache),u=Object.assign({},r.weightMap);r.keepIntermediateTensors&&(r.clonedTensorsMap=r.cloneTensorMap(r.weightMap)),Object.keys(e).forEach((function(t){var n=d(N(t,s),2),a=n[0],o=[];o[n[1]]=e[t],u[a]=o,r.keepIntermediateTensors&&(r.clonedTensorsMap[a]=r.cloneTensorList(o))}));var c=r.getFrozenTensorIds(u),m=p.orderedNodes,y=p.nodeLiveUntilMap;try{for(var g=l(m),b=g.next();!b.done;b=g.next()){var x=b.value;if(!u[x.name]){var w=Yi(x,u,s,r._resourceManager);if(t.util.isPromise(w))throw new Error("The execution of the op '".concat(x.op,"' returned a promise. ")+"Please use model.executeAsync() instead.");u[x.name]=w,r.keepIntermediateTensors&&(r.clonedTensorsMap[x.name]=r.cloneTensorList(w)),r.checkTensorForDisposalWithNodeLiveUntilInfo(x,u,s,c,i,y.get(x.name))}}}catch(e){a={error:e}}finally{try{b&&!b.done&&(o=g.return)&&o.call(g)}finally{if(a)throw a.error}}return null==r.parent&&s.dispose(c),n.map((function(e){return v(e,u,s)}))}))},e.prototype.getFrozenTensorIds=function(e){var t=[].concat.apply([],Object.keys(e).map((function(t){return e[t]})).map((function(e){return e.map((function(e){return e.id}))})));return new Set(t)},e.prototype.checkTensorForDisposal=function(e,t,n,r,a,o,s){var i,u,c,p,d,h;if(!ou(t)&&!o.has(e)){try{for(var f=l(n[e]),m=f.next();!m.done;m=f.next()){null!=(k=m.value)&&(s[k.id]=(s[k.id]||0)+t.children.length)}}catch(e){i={error:e}}finally{try{m&&!m.done&&(u=f.return)&&u.call(f)}finally{if(i)throw i.error}}try{for(var y=l(t.inputs),v=y.next();!v.done;v=y.next()){var b=v.value;if(!ou(b)){var x=g(b.name,n,r);if(null!=x)try{for(var N=(d=void 0,l(x)),w=N.next();!w.done;w=N.next()){var k;if((k=w.value)&&!k.kept&&!a.has(k.id)){var T=s[k.id];1===T?(k.dispose(),delete s[k.id]):null!=T&&s[k.id]--}}}catch(e){d={error:e}}finally{try{w&&!w.done&&(h=N.return)&&h.call(N)}finally{if(d)throw d.error}}}}}catch(e){c={error:e}}finally{try{v&&!v.done&&(p=y.return)&&p.call(y)}finally{if(c)throw c.error}}}},e.prototype.checkTensorForDisposalWithNodeLiveUntilInfo=function(e,t,n,r,a,o){var s,i,u,c;function p(e){return ou(e)||a.has(e.name)}if(!ou(e)&&null!=o)try{for(var d=l(o),h=d.next();!h.done;h=d.next()){var f=h.value;if(!p(f)){var m=g(f.name,t,n);try{for(var y=(u=void 0,l(m)),v=y.next();!v.done;v=y.next()){var b=v.value;!b||b.kept||r.has(b.id)||b.dispose()}}catch(e){u={error:e}}finally{try{v&&!v.done&&(c=y.return)&&c.call(y)}finally{if(u)throw u.error}}}}}catch(e){s={error:e}}finally{try{h&&!h.done&&(i=d.return)&&i.call(d)}finally{if(s)throw s.error}}},e.prototype.executeAsync=function(e,t){return c(this,void 0,void 0,(function(){return p(this,(function(n){return[2,this._executeAsync(e,t)]}))}))},e.prototype.disposeIntermediateTensors=function(){this.clonedTensorsMap&&(Object.values(this.clonedTensorsMap).forEach((function(e){var t,n;try{for(var r=l(e),a=r.next();!a.done;a=r.next()){var o=a.value;o&&!o.isDisposed&&o.dispose()}}catch(e){t={error:e}}finally{try{a&&!a.done&&(n=r.return)&&n.call(r)}finally{if(t)throw t.error}}})),this.clonedTensorsMap=null)},e.prototype.getIntermediateTensors=function(){return this.clonedTensorsMap},e.prototype._executeAsync=function(e,n,r,a,o){return void 0===r&&(r=!1),void 0===a&&(a={}),void 0===o&&(o={}),c(this,void 0,void 0,(function(){var s,i,u,c,l,f;return p(this,(function(p){switch(p.label){case 0:this.disposeIntermediateTensors(),r||(e=this.mapInputs(e),this.checkInputs(e),this.checkInputShapeAndType(e),n=this.mapOutputs(n),this.checkOutputs(n));try{this.keepIntermediateTensors=t.env().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(e){this.keepIntermediateTensors=!1,console.warn(e.message)}return s=new Ji(this.weightMap,a,o,this.functionExecutorMap,this.parseNodeNameCache),this.keepIntermediateTensors&&(this.clonedTensorsMap=this.cloneTensorMap(this.weightMap)),[4,this.executeWithControlFlow(e,s,n,r)];case 1:return i=p.sent(),u=n.map((function(e){return v(e,i,s)})),c=u.map((function(e){return e.id})),l=Object.keys(e).map((function(t){return e[t].id})),f=new Set(h(h(h([],d(c),!1),d(l),!1),d(this.weightIds),!1)),Object.values(i).forEach((function(e){e.forEach((function(e){!e||e.isDisposed||f.has(e.id)||e.dispose()}))})),null==this.parent&&s.dispose(f),[2,u]}}))}))},e.prototype.executeFunctionAsync=function(e,t,n){return c(this,void 0,void 0,(function(){var r,a=this;return p(this,(function(o){return r=e.reduce((function(e,t,n){return e[a.inputs[n].name]=t,e}),{}),[2,this._executeAsync(r,this.outputNodes,!0,t,n)]}))}))},e.prototype.executeWithControlFlow=function(e,t,n,r){return c(this,void 0,void 0,(function(){var a,o,s,i,u,c,l,f,m,y,g,b,x,w,k,T,S,_,E=this;return p(this,(function(p){switch(p.label){case 0:a=Object.keys(e),o=a.map((function(e){return E.graph.nodes[N(e)[0]]})),s=n.map((function(e){return N(e)[0]})),i=new Set(s),0===(u=s.map((function(e){return E.graph.nodes[e]}))).length&&(u=this._outputs),c=$i(e,u,this.weightMap,this._initNodes),l=c.usedNodes,f=c.missingInputs,m=c.dynamicNode,y=c.syncInputs,g=h(h(h([],d(o),!1),d(this.graph.weights),!1),d(this._initNodes||[]),!1).map((function(e){return{node:e,contexts:t.currentContext}})),b=Object.assign({},this.weightMap),Object.keys(e).forEach((function(t){var n=d(N(t),2),r=n[0],a=[];a[n[1]]=e[t],b[r]=a})),x={},w=this.getFrozenTensorIds(b),k={},p.label=1;case 1:return g.length>0?(T=this.processStack(o,g,t,b,k,w,i,x,l),[4,Promise.all(T)]):[3,3];case 2:return p.sent(),[3,1];case 3:if(null!=m||r||console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead."),(S=u.filter((function(e){return!ou(e)&&!v(e.name,b,t)})).map((function(e){return e.name}))).length>0)throw _="",null!=m&&(_="Alternatively, to avoid the dynamic ops, use model.execute() "+"and specify the inputs [".concat(y,"]")),new Error("Cannot compute the outputs [".concat(S,"] from the provided ")+"inputs [".concat(a,"]. Consider providing the following inputs: ")+"[".concat(f,"]. ").concat(_));return[2,b]}}))}))},e.prototype.processStack=function(e,n,r,a,o,s,i,u,c){for(var p=this,l=[],h=function(){var e,h,m=n.pop();r.currentContext=m.contexts;var v="";if("Enter"===m.node.op&&y("isConstant",m.node,a,r)&&(e=d(b(m.node.name,r),1),v=e[0]),null==a[m.node.name]){var g=Yi(m.node,a,r,f._resourceManager);v||(h=d(b(m.node.name,r),1),v=h[0]);var x=r.currentContext;t.util.isPromise(g)?l.push(g.then((function(e){return a[v]=e,p.keepIntermediateTensors&&(p.clonedTensorsMap[v]=p.cloneTensorList(e)),r.currentContext=x,p.checkTensorForDisposal(v,m.node,a,r,s,i,u),p.processChildNodes(m.node,n,r,a,o,c),e}))):(a[v]=g,f.keepIntermediateTensors&&(f.clonedTensorsMap[v]=f.cloneTensorList(g)),f.checkTensorForDisposal(v,m.node,a,r,s,i,u),f.processChildNodes(m.node,n,r,a,o,c))}else f.processChildNodes(m.node,n,r,a,o,c)},f=this;n.length>0;)h();return l},e.prototype.processChildNodes=function(e,t,n,r,a,o){e.children.forEach((function(e){var s=d(b(e.name,n),1)[0];!a[s]&&o.has(e.name)&&("Merge"===e.op?e.inputNames.some((function(e){return!!v(e,r,n)}))&&(a[s]=!0,t.push({contexts:n.currentContext,node:e})):e.inputNames.every((function(e){return!!v(e,r,n)}))&&(a[s]=!0,t.push({contexts:n.currentContext,node:e})))}))},e.prototype.dispose=function(){var e=this;Object.keys(this.weightMap).forEach((function(t){return e.weightMap[t].forEach((function(e){return e.dispose()}))}))},e.prototype.checkInputShapeAndType=function(e){var n=this;Object.keys(e).forEach((function(r){var a=e[r],o=d(N(r),1)[0],s=n.graph.nodes[o];if(s.attrParams.shape&&s.attrParams.shape.value){var i=s.attrParams.shape.value,u=i.length===a.shape.length&&a.shape.every((function(e,t){return-1===i[t]||i[t]===e}));t.util.assert(u,(function(){return"The shape of dict['".concat(s.name,"'] provided in ")+"model.execute(dict) must be [".concat(i,"], but was ")+"[".concat(a.shape,"]")}))}s.attrParams.dtype&&s.attrParams.dtype.value&&t.util.assert(a.dtype===s.attrParams.dtype.value,(function(){return"The dtype of dict['".concat(s.name,"'] provided in ")+"model.execute(dict) must be "+"".concat(s.attrParams.dtype.value,", but was ").concat(a.dtype)}))}))},e.prototype.mapInputs=function(e){var t,n,r={};for(var a in e){var o=null===(n=null===(t=this._signature)||void 0===t?void 0:t.inputs)||void 0===n?void 0:n[a];null!=o?r[o.name]=e[a]:r[a]=e[a]}return r},e.prototype.checkInputs=function(e){var t=this,n=Object.keys(e).filter((function(e){var n=d(N(e),1)[0];return null==t.graph.nodes[n]}));if(n.length>0)throw new Error("The dict provided in model.execute(dict) has "+"keys: [".concat(n,"] that are not part of graph"))},e.prototype.mapOutputs=function(e){var t=this;return e.map((function(e){var n,r,a=null===(r=null===(n=t._signature)||void 0===n?void 0:n.outputs)||void 0===r?void 0:r[e];return null!=a?a.name:e}),{})},e.prototype.checkOutputs=function(e){var t=this;e.forEach((function(e){var n=d(N(e),1)[0];if(!t.graph.nodes[n])throw new Error("The output '".concat(e,"' is not found in the graph"))}))},e}(),cu=function(){function e(e,t){void 0===e&&(e={}),void 0===t&&(t={}),this.hashTableNameToHandle=e,this.hashTableMap=t}return e.prototype.addHashTable=function(e,t){this.hashTableNameToHandle[e]=t.handle,this.hashTableMap[t.id]=t},e.prototype.getHashTableHandleByName=function(e){return this.hashTableNameToHandle[e]},e.prototype.getHashTableById=function(e){return this.hashTableMap[e]},e.prototype.dispose=function(){for(var e in this.hashTableMap)this.hashTableMap[e].clearAndClose(),delete this.hashTableMap[e];for(var t in this.hashTableNameToHandle)this.hashTableNameToHandle[t].dispose(),delete this.hashTableNameToHandle[t]},e}(),pu={float32:4,float16:2,int32:4,uint16:2,uint8:1,bool:1,complex64:8};function lu(e,t){return c(this,void 0,void 0,(function(){var n,r,a,o,s,i,u,c;return p(this,(function(p){switch(p.label){case 0:return n=pe(e.shape),"quantization"in e?(a=e.quantization,r=pu[a.dtype],[3,7]):[3,1];case 1:if("string"!==e.dtype)return[3,6];o=0,s=0,p.label=2;case 2:return s<n?(i=o,u=4,c=Uint32Array.bind,[4,t(o,o+4)]):[3,5];case 3:o=i+(u+(new(c.apply(Uint32Array,[void 0,p.sent()])))[0]),p.label=4;case 4:return s++,[3,2];case 5:return[2,o];case 6:r=pu[e.dtype],p.label=7;case 7:return[2,n*r]}}))}))}function du(e,t){var n,r,a,o,s=e.name,i=e.dtype,u=e.shape,c=pe(u),p=0;if("quantization"in e){var l=e.quantization;if("uint8"===l.dtype||"uint16"===l.dtype){if(!("min"in l)||!("scale"in l))throw new Error("Weight ".concat(e.name," with quantization ").concat(l.dtype," ")+"doesn't have corresponding metadata min and scale.")}else{if("float16"!==l.dtype)throw new Error("Weight ".concat(e.name," has unknown ")+"quantization dtype ".concat(l.dtype,". ")+"Supported quantization dtypes are: 'uint8', 'uint16', and 'float16'.");if("float32"!==i)throw new Error("Weight ".concat(e.name," is quantized with ").concat(l.dtype," ")+"which only supports weights of type float32 not ".concat(i,"."))}var d=pu[l.dtype],h="uint8"===l.dtype?new Uint8Array(t):new Uint16Array(t);if("float32"===i)if("uint8"===l.dtype||"uint16"===l.dtype){n=new Float32Array(h.length);for(var f=0;f<h.length;f++){var m=h[f];n[f]=m*l.scale+l.min}}else{if("float16"!==l.dtype)throw new Error("Unsupported quantization type ".concat(l.dtype," ")+"for weight type float32.");var y=(r=function(){var e=function(e){for(var t=e<<13,n=0;0==(8388608&t);)n-=8388608,t<<=1;return(t&=-8388609)|(n+=947912704)},t=new Uint32Array(2048);t[0]=0;for(var n=1;n<1024;n++)t[n]=e(n);for(n=1024;n<2048;n++)t[n]=939524096+(n-1024<<13);return t}(),a=function(){var e=new Uint32Array(64);e[0]=0,e[31]=1199570944,e[32]=2147483648,e[63]=3347054592;for(var t=1;t<31;t++)e[t]=t<<23;for(t=33;t<63;t++)e[t]=2147483648+(t-32<<23);return e}(),o=function(){for(var e=new Uint32Array(64),t=0;t<64;t++)e[t]=1024;return e[0]=e[32]=0,e}(),function(e){for(var t=new ArrayBuffer(4*e.length),n=new Uint32Array(t),s=0;s<e.length;s++){var i=e[s],u=r[o[i>>10]+(1023&i)]+a[i>>10];n[s]=u}return new Float32Array(t)});n=y(h)}else{if("int32"!==i)throw new Error("Unsupported dtype in weight '".concat(s,"': ").concat(i));if("uint8"!==l.dtype&&"uint16"!==l.dtype)throw new Error("Unsupported quantization type ".concat(l.dtype," ")+"for weight type int32.");n=new Int32Array(h.length);for(f=0;f<h.length;f++){m=h[f];n[f]=Math.round(m*l.scale+l.min)}}p+=c*d}else if("string"===i){var v=pe(e.shape);n=[];for(f=0;f<v;f++){var g=new Uint32Array(t.slice(p,p+4))[0];p+=4;var b=new Uint8Array(t.slice(p,p+g));n.push(b),p+=g}}else{var x=pu[i];if("float32"===i)n=new Float32Array(t);else if("int32"===i)n=new Int32Array(t);else{if("bool"!==i){if("complex64"===i){n=new Float32Array(t);var N=new Float32Array(n.length/2),w=new Float32Array(n.length/2);for(f=0;f<N.length;f++)N[f]=n[2*f],w[f]=n[2*f+1];var k=gs(N,u,"float32"),T=gs(w,u,"float32"),S=ur(k,T);return k.dispose(),T.dispose(),S}throw new Error("Unsupported dtype in weight '".concat(s,"': ").concat(i))}n=new Uint8Array(t)}p+=c*x}return gs(n,u,i)}function hu(e,t,n){return c(this,void 0,void 0,(function(){var r,a,o,s,i,u;return p(this,(function(c){switch(c.label){case 0:r=new Uint8Array(t),c.label=1;case 1:return r.byteLength<n?[4,e.read()]:[3,3];case 2:if(a=c.sent(),o=a.done,s=a.value,o&&null==s)throw i=n-r.byteLength,new Error("Reader is done but ".concat(i," bytes are still expected"));return(u=new Uint8Array(r.length+s.byteLength)).set(r,0),u.set(new Uint8Array(s),r.length),r=u,[3,1];case 3:return[2,r.buffer]}}))}))}function fu(e,t){return c(this,void 0,void 0,(function(){var n,r,a,o,s,i,u,d,h,f,m,y,v,g=this;return p(this,(function(b){switch(b.label){case 0:n={},r=e.getReader(),a=new ArrayBuffer(0),b.label=1;case 1:b.trys.push([1,7,8,9]),o=l(t),s=o.next(),b.label=2;case 2:return s.done?[3,6]:[4,lu(i=s.value,(function(e,t){return c(g,void 0,void 0,(function(){return p(this,(function(n){switch(n.label){case 0:return[4,hu(r,a,t)];case 1:return[2,(a=n.sent()).slice(e,t)]}}))}))}))];case 3:return u=b.sent(),[4,hu(r,a,u)];case 4:a=b.sent(),d=a.slice(0,u),a=a.slice(u),h=du(i,d),n[i.name]=h,"webgpu"===on.backendName&&"uploadToGPU"in(f=on.backend)&&pe(h.shape)>=De().get("WEBGPU_CPU_HANDOFF_SIZE_THRESHOLD")&&f.uploadToGPU(h.dataId),b.label=5;case 5:return s=o.next(),[3,2];case 6:return[3,9];case 7:return m=b.sent(),y={error:m},[3,9];case 8:try{s&&!s.done&&(v=o.return)&&v.call(o)}finally{if(y)throw y.error}return[7];case 9:return[2,n]}}))}))}var mu="?tfjs-format=file",yu="model.json",vu=function(){function e(e,n,r){void 0===n&&(n={}),void 0===r&&(r=t.io),this.modelUrl=e,this.loadOptions=n,this.version="n/a",this.io=r,null==n&&(this.loadOptions={}),this.resourceManager=new cu}return Object.defineProperty(e.prototype,"modelVersion",{get:function(){return this.version},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"inputNodes",{get:function(){return this.executor.inputNodes},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"outputNodes",{get:function(){return this.executor.outputNodes},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"inputs",{get:function(){return this.executor.inputs},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"outputs",{get:function(){return this.executor.outputs},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"weights",{get:function(){return this.executor.weightMap},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"metadata",{get:function(){return this.artifacts.userDefinedMetadata},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"modelSignature",{get:function(){return this.signature},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"modelStructuredOutputKeys",{get:function(){return this.structuredOutputKeys},enumerable:!1,configurable:!0}),e.prototype.findIOHandler=function(){var e=this.modelUrl;if(null!=e.load)this.handler=e;else if(null!=this.loadOptions.requestInit)this.handler=this.io.browserHTTPRequest(e,this.loadOptions);else{var t=this.io.getLoadHandlers(e,this.loadOptions);if(0===t.length)t.push(this.io.browserHTTPRequest(e,this.loadOptions));else if(t.length>1)throw new Error("Found more than one (".concat(t.length,") load handlers for ")+"URL '".concat([e],"'"));this.handler=t[0]}},e.prototype.load=function(){var e=this;if(this.findIOHandler(),null==this.handler.load)throw new Error("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");var n=this.handler.load();return t.util.isPromise(n)?n.then((function(t){return null==t.getWeightStream?e.loadSync(t):e.loadStreaming(t)})):this.loadSync(n)},e.prototype.loadSync=function(e){var t=this.io.decodeWeights(e.weightData,e.weightSpecs);return this.loadWithWeightMap(e,t)},e.prototype.loadStreaming=function(e){return c(this,void 0,void 0,(function(){var t;return p(this,(function(n){switch(n.label){case 0:if(null==e.getWeightStream)throw new Error("Model artifacts missing streamWeights function");return[4,fu(e.getWeightStream(),e.weightSpecs)];case 1:return t=n.sent(),[2,this.loadWithWeightMap(e,t)]}}))}))},e.prototype.loadWithWeightMap=function(e,t){this.artifacts=e;var n=this.artifacts.modelTopology,r=this.artifacts.signature;if(null!=this.artifacts.userDefinedMetadata){var a=this.artifacts.userDefinedMetadata;null!=a.signature&&(r=a.signature),null!=a.structuredOutputKeys&&(this.structuredOutputKeys=a.structuredOutputKeys)}if(this.signature=r,this.version="".concat(n.versions.producer,".").concat(n.versions.minConsumer),this.executor=new uu(q.Instance.transformGraph(n,this.signature)),this.executor.weightMap=this.convertTensorMapToTensorsMap(t),this.executor.resourceManager=this.resourceManager,null!=e.modelInitializer&&null!=e.modelInitializer.node){var o=q.Instance.transformGraph(e.modelInitializer);this.initializer=new uu(o),this.initializer.weightMap=this.executor.weightMap,this.initializer.resourceManager=this.resourceManager,this.initializerSignature=e.initializerSignature}return!0},e.prototype.save=function(e,t){return c(this,void 0,void 0,(function(){var t;return p(this,(function(n){if("string"==typeof e){if(0===(t=this.io.getSaveHandlers(e)).length)throw new Error("Cannot find any save handlers for URL '".concat(e,"'"));if(t.length>1)throw new Error("Found more than one (".concat(t.length,") save handlers for ")+"URL '".concat(e,"'"));e=t[0]}if(null==e.save)throw new Error("GraphModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return[2,e.save(this.artifacts)]}))}))},e.prototype.addStructuredOutputNames=function(e){var n=this;if(this.structuredOutputKeys){var r=e instanceof t.Tensor?[e]:e,a={};return r.forEach((function(e,t){return a[n.structuredOutputKeys[t]]=e})),a}return e},e.prototype.predict=function(e,t){var n=this.execute(e,this.outputNodes);return this.addStructuredOutputNames(n)},e.prototype.predictAsync=function(e,t){return c(this,void 0,void 0,(function(){var t;return p(this,(function(n){switch(n.label){case 0:return[4,this.executeAsync(e,this.outputNodes)];case 1:return t=n.sent(),[2,this.addStructuredOutputNames(t)]}}))}))},e.prototype.normalizeInputs=function(e){var n,r=this;if(!(e instanceof t.Tensor||Array.isArray(e))){var a=null===(n=this.signature)||void 0===n?void 0:n.inputs;if(null!=a)for(var o in a){var s=a[o];null!=s.resourceId&&(e[o]=this.resourceIdToCapturedInput[s.resourceId])}return e}e=Array.isArray(e)?e:[e];var i=Object.keys(this.resourceIdToCapturedInput).length;if(e.length+i!==this.inputNodes.length)throw new Error("Input tensor count mismatch, the graph model has ".concat(this.inputNodes.length-i," non-resource placeholders, while there are ").concat(e.length," input tensors provided."));var u=0;return this.inputNodes.reduce((function(t,n){var a,o,s,i=null===(s=null===(o=null===(a=r.signature)||void 0===a?void 0:a.inputs)||void 0===o?void 0:o[n])||void 0===s?void 0:s.resourceId;return t[n]=null!=i?r.resourceIdToCapturedInput[i]:e[u++],t}),{})},e.prototype.normalizeOutputs=function(e){return e=e||this.outputNodes,Array.isArray(e)?e:[e]},e.prototype.executeInitializerGraph=function(){return null==this.initializer?[]:null==this.initializerSignature?this.initializer.execute({},[]):this.initializer.execute({},Object.keys(this.initializerSignature.outputs))},e.prototype.executeInitializerGraphAsync=function(){return c(this,void 0,void 0,(function(){return p(this,(function(e){return null==this.initializer?[2,[]]:null==this.initializerSignature?[2,this.initializer.executeAsync({},[])]:[2,this.initializer.executeAsync({},Object.keys(this.initializerSignature.outputs))]}))}))},e.prototype.setResourceIdToCapturedInput=function(e){if(this.resourceIdToCapturedInput={},this.initializerSignature)for(var t=this.initializerSignature.outputs,n=Object.keys(t),r=0;r<n.length;r++){var a=t[n[r]];this.resourceIdToCapturedInput[a.resourceId]=e[r]}},e.prototype.execute=function(e,t){null==this.resourceIdToCapturedInput&&this.setResourceIdToCapturedInput(this.executeInitializerGraph()),e=this.normalizeInputs(e),t=this.normalizeOutputs(t);var n=this.executor.execute(e,t);return n.length>1?n:n[0]},e.prototype.executeAsync=function(e,t){return c(this,void 0,void 0,(function(){var n,r;return p(this,(function(a){switch(a.label){case 0:return null!=this.resourceIdToCapturedInput?[3,2]:(n=this.setResourceIdToCapturedInput,[4,this.executeInitializerGraphAsync()]);case 1:n.apply(this,[a.sent()]),a.label=2;case 2:return e=this.normalizeInputs(e),t=this.normalizeOutputs(t),[4,this.executor.executeAsync(e,t)];case 3:return[2,(r=a.sent()).length>1?r:r[0]]}}))}))},e.prototype.getIntermediateTensors=function(){return this.executor.getIntermediateTensors()},e.prototype.disposeIntermediateTensors=function(){this.executor.disposeIntermediateTensors()},e.prototype.convertTensorMapToTensorsMap=function(e){return Object.keys(e).reduce((function(t,n){return t[n]=[e[n]],t}),{})},e.prototype.dispose=function(){this.executor.dispose(),this.initializer&&(this.initializer.dispose(),this.resourceIdToCapturedInput&&t.dispose(this.resourceIdToCapturedInput)),this.resourceManager.dispose()},e}();e.GraphModel=vu,e.deregisterOp=function(e){delete f[e]},e.loadGraphModel=function(e,n,r){return void 0===n&&(n={}),void 0===r&&(r=t.io),c(this,void 0,void 0,(function(){var t;return p(this,(function(a){switch(a.label){case 0:if(null==e)throw new Error("modelUrl in loadGraphModel() cannot be null. Please provide a url or an IOHandler that loads the model");return null==n&&(n={}),n.fromTFHub&&"string"==typeof e&&(e=function(e){e.endsWith("/")||(e+="/");return"".concat(e).concat(yu).concat(mu)}(e)),[4,(t=new vu(e,n,r)).load()];case 1:return a.sent(),[2,t]}}))}))},e.loadGraphModelSync=function(e){if(null==e)throw new Error("modelUrl in loadGraphModelSync() cannot be null. Please provide model artifacts or an IOHandler that loads the model");var n;if(e instanceof Array){var r=d(e,2),a=r[0],o=r[1];if(!a)throw new Error("modelJSON must be the first element of the array");if(!(o&&o instanceof ArrayBuffer))throw new Error("An ArrayBuffer of weights must be the second element of the array");if(!("modelTopology"in a))throw new Error("Model JSON is missing 'modelTopology'");if(!("weightsManifest"in a))throw new Error("Model JSON is missing 'weightsManifest'");var s=t.io.getWeightSpecs(a.weightsManifest),i=t.io.getModelArtifactsForJSONSync(a,s,o);n=t.io.fromMemorySync(i)}else if("load"in e)n=e;else{if(!("modelTopology"in e&&"weightSpecs"in e&&"weightData"in e))throw new Error("Unknown model format");n=t.io.fromMemorySync(e)}var u=new vu(n);return u.load(),u},e.registerOp=function(e,t){var n={tfOpName:e,category:"custom",inputs:[],attrs:[],customExecutor:t};f[e]=n},e.version_converter="4.19.0"}));
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