@tensorflow/tfjs-core/dist/tf-core.min.js

Hardware-accelerated JavaScript library for machine intelligence

/**
 * @license
 * Copyright 2020 Google LLC. All Rights Reserved.
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 * =============================================================================
 */
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t(){this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numStringTensors=0,this.numDataBuffers=0,this.gradientDepth=0,this.kernelDepth=0,this.scopeStack=[],this.numDataMovesStack=[],this.nextScopeId=0,this.tensorInfo=new WeakMap,this.profiling=!1,this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null}}return t.prototype.dispose=function(){for(var t in this.registeredVariables)this.registeredVariables[t].dispose()},t}(),_t=function(){function t(t){this.ENV=t,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new Ft}return t.prototype.ready=function(){return r(this,void 0,void 0,(function(){var t,e,n;return o(this,(function(r){switch(r.label){case 0:if(null!=this.pendingBackendInit)return[2,this.pendingBackendInit.then((function(){}))];if(null!=this.backendInstance)return[2];t=this.getSortedBackends(),e=0,r.label=1;case 1:return e<t.length?(n=t[e],[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 e++,[3,1];case 5:throw new Error("Could not initialize any backends, all backend initializations failed.")}}))}))},Object.defineProperty(t.prototype,"backend",{get:function(){if(null!=this.pendingBackendInit)throw new Error("Backend '"+this.backendName+"' has not yet been initialized. Make sure to await tf.ready() or await tf.setBackend() before calling other methods");if(null==this.backendInstance){var t=this.initializeBackendsAndReturnBest(),e=t.name;if(t.asyncInit)throw new Error("The highest priority backend '"+e+"' has not yet been initialized. Make sure to await tf.ready() or await tf.setBackend() before calling other methods");this.setBackend(e)}return this.backendInstance},enumerable:!0,configurable:!0}),t.prototype.backendNames=function(){return Object.keys(this.registryFactory)},t.prototype.findBackend=function(t){if(!(t in this.registry)){if(!(t in this.registryFactory))return null;if(this.initializeBackend(t).asyncInit)return null}return this.registry[t]},t.prototype.findBackendFactory=function(t){return t in this.registryFactory?this.registryFactory[t].factory:null},t.prototype.registerBackend=function(t,e,n){return void 0===n&&(n=1),t in this.registryFactory?(console.warn(t+" backend was already registered. Reusing existing backend factory."),!1):(this.registryFactory[t]={factory:e,priority:n},!0)},t.prototype.setBackend=function(t){return r(this,void 0,void 0,(function(){var e,n,r;return o(this,(function(o){switch(o.label){case 0:if(null==this.registryFactory[t])throw new Error("Backend name '"+t+"' not found in registry");return this.backendName=t,null!=this.registry[t]?[3,4]:(this.backendInstance=null,e=this.initializeBackend(t),n=e.success,e.asyncInit?[4,n]:[3,2]);case 1:return r=o.sent(),[3,3];case 2:r=n,o.label=3;case 3:if(!r)return[2,!1];o.label=4;case 4:return this.backendInstance=this.registry[t],this.setupRegisteredKernels(),this.profiler=new ot(this.backendInstance),[2,!0]}}))}))},t.prototype.setupRegisteredKernels=function(){var t=this;d(this.backendName).forEach((function(e){null!=e.setupFunc&&e.setupFunc(t.backendInstance)}))},t.prototype.disposeRegisteredKernels=function(t){var e=this;d(t).forEach((function(n){null!=n.disposeFunc&&n.disposeFunc(e.registry[t])}))},t.prototype.initializeBackend=function(t){var e=this,n=this.registryFactory[t];if(null==n)throw new Error("Cannot initialize backend "+t+", no registration found.");try{var r=n.factory();if(Promise.resolve(r)===r){var o=++this.pendingBackendInitId,a=r.then((function(n){return!(o<e.pendingBackendInitId)&&(e.registry[t]=n,e.pendingBackendInit=null,!0)})).catch((function(n){return!(o<e.pendingBackendInitId)&&(e.pendingBackendInit=null,console.warn("Initialization of backend "+t+" failed"),console.warn(n.stack||n.message),!1)}));return this.pendingBackendInit=a,{success:a,asyncInit:!0}}return this.registry[t]=r,{success:!0,asyncInit:!1}}catch(e){return console.warn("Initialization of backend "+t+" failed"),console.warn(e.stack||e.message),{success:!1,asyncInit:!1}}},t.prototype.removeBackend=function(t){if(!(t in this.registryFactory))throw new Error(t+" backend not found in registry");this.backendName===t&&null!=this.pendingBackendInit&&this.pendingBackendInitId++,t in this.registry&&(this.disposeRegisteredKernels(t),this.registry[t].dispose(),delete this.registry[t]),delete this.registryFactory[t],this.backendName===t&&(this.pendingBackendInit=null,this.backendName=null,this.backendInstance=null)},t.prototype.getSortedBackends=function(){var t=this;if(0===Object.keys(this.registryFactory).length)throw new Error("No backend found in registry.");return Object.keys(this.registryFactory).sort((function(e,n){return t.registryFactory[n].priority-t.registryFactory[e].priority}))},t.prototype.initializeBackendsAndReturnBest=function(){for(var t=this.getSortedBackends(),e=0;e<t.length;e++){var n=t[e],r=this.initializeBackend(n),o=r.success,a=r.asyncInit;if(a||o)return{name:n,asyncInit:a}}throw new Error("Could not initialize any backends, all backend initializations failed.")},t.prototype.moveData=function(t,e){var n=this.state.tensorInfo.get(e),r=n.backend,o=this.readSync(e);r.disposeData(e),n.backend=t,t.move(e,o,n.shape,n.dtype),this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack[this.state.numDataMovesStack.length-1]++},t.prototype.tidy=function(t,e){var n,r=this,o=null;if(null==e){if("function"!=typeof t)throw new Error("Please provide a function to tidy()");e=t}else{if("string"!=typeof t&&!(t instanceof String))throw new Error("When calling with two arguments, the first argument to tidy() must be a string");if("function"!=typeof e)throw new Error("When calling with two arguments, the 2nd argument to tidy() must be a function");o=t}return this.scopedRun((function(){return r.startScope(o)}),(function(){return r.endScope(n)}),(function(){return(n=e())instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),n}))},t.prototype.scopedRun=function(t,e,n){t();try{var r=n();return e(),r}catch(t){throw e(),t}},t.prototype.nextTensorId=function(){return t.nextTensorId++},t.prototype.nextVariableId=function(){return t.nextVariableId++},t.prototype.clone=function(t){var e=this.makeTensorFromDataId(t.dataId,t.shape,t.dtype),n={x:t};return this.addTapeNode(this.state.activeScope.name,n,[e],(function(t){return{x:function(){return t.toFloat()}}}),[]),e},t.prototype.runKernel=function(t,e,n,r,o){return this.runKernelFunc(null,e,null,t,n,r,o)},t.prototype.shouldCheckForMemLeaks=function(){return this.ENV.getBool("IS_TEST")},t.prototype.checkKernelForMemLeak=function(t,e,n){var r=this.backend.numDataIds(),o=0;n.forEach((function(t){o+="complex64"===t.dtype?3:1}));var a=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],i=r-e-o-a;if(i>0)throw new Error("Backend '"+this.backendName+"' has an internal memory leak ("+i+" data ids) after running '"+t+"'")},t.prototype.runKernelFunc=function(t,e,n,r,o,a,i){var s,u=this;void 0===a&&(a=[]),void 0===i&&(i=[]);var c=[],h=this.isTapeOn();null==r&&(r=null!=this.state.activeScope?this.state.activeScope.name:"");var d,f=function(t){h&&(c=t.map((function(t){return u.keep(u.clone(t))})))},p=this.state.numBytes,v=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);var m,g=l(r,this.backendName);return d=null!=g?function(){var t=u.backend.numDataIds();m=g.kernelFunc({inputs:e,attrs:o,backend:u.backend});var n=Array.isArray(m)?m:[m];u.shouldCheckForMemLeaks()&&u.checkKernelForMemLeak(r,t,n);var s=n.map((function(t){var e=t.dataId,n=t.shape,r=t.dtype;return u.makeTensorFromDataId(e,n,r)})),c=s.filter((function(t,e){return i[e]}));return f((a||[]).slice().concat(c)),s}:function(){var e=u.backend.numDataIds();m=u.tidy((function(){return t(u.backend,f)}));var n=Array.isArray(m)?m:[m];return u.shouldCheckForMemLeaks()&&u.checkKernelForMemLeak(r,e,n),n},this.scopedRun((function(){return u.state.kernelDepth++}),(function(){return u.state.kernelDepth--}),(function(){s=u.ENV.getBool("DEBUG")?u.profiler.profileKernel(r,e,(function(){return d()})):d()})),h&&this.addTapeNode(r,e,s,n,c),this.state.profiling&&this.state.activeProfile.kernels.push({name:r,bytesAdded:this.state.numBytes-p,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-v,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(e).map((function(t){return e[t].shape})),outputShapes:s.map((function(t){return t.shape}))}),Array.isArray(m)?s:s[0]},t.prototype.makeTensor=function(t,e,n,r){if(null==t)throw new Error("Values passed to engine.makeTensor() are null");n=n||"float32",r=r||this.backend;var o=t;"string"===n&&V(t[0])&&(o=t.map((function(t){return et(t)})));var a=r.write(o,e,n),i=new gt(e,n,a,this.nextTensorId());if(this.incRef(i,r),"string"===n){var s=this.state.tensorInfo.get(a),u=z(o);this.state.numBytes+=u-s.bytes,s.bytes=u}return i},t.prototype.makeTensorFromDataId=function(t,e,n,r){var o=new gt(e,n=n||"float32",t,this.nextTensorId());return this.incRef(o,r),o},t.prototype.makeVariable=function(t,e,n,r){void 0===e&&(e=!0),n=n||this.nextVariableId().toString(),null!=r&&r!==t.dtype&&(t=t.asType(r));var o=new Et(t,e,n,this.nextTensorId());if(null!=this.state.registeredVariables[o.name])throw new Error("Variable with name "+o.name+" was already registered");return this.state.registeredVariables[o.name]=o,this.incRef(o,this.backend),o},t.prototype.incRef=function(t,e){var n=this.state.tensorInfo.has(t.dataId)?this.state.tensorInfo.get(t.dataId).refCount:0;if(this.state.numTensors++,"string"===t.dtype&&this.state.numStringTensors++,0===n){this.state.numDataBuffers++;var r=0;"complex64"!==t.dtype&&"string"!==t.dtype&&(r=t.size*U(t.dtype)),this.state.tensorInfo.set(t.dataId,{backend:e||this.backend,dtype:t.dtype,shape:t.shape,bytes:r,refCount:0}),this.state.numBytes+=r}this.state.tensorInfo.get(t.dataId).refCount++,t instanceof Et||this.track(t)},t.prototype.disposeTensor=function(t){if(this.state.tensorInfo.has(t.dataId)){this.state.numTensors--,"string"===t.dtype&&this.state.numStringTensors--;var e=this.state.tensorInfo.get(t.dataId);e.refCount<=1?("complex64"!==t.dtype&&(this.state.numBytes-=e.bytes),this.state.numDataBuffers--,e.backend.disposeData(t.dataId),this.state.tensorInfo.delete(t.dataId)):this.state.tensorInfo.get(t.dataId).refCount--}},t.prototype.disposeVariables=function(){for(var t in this.state.registeredVariables){var e=this.state.registeredVariables[t];this.disposeVariable(e)}},t.prototype.disposeVariable=function(t){this.disposeTensor(t),null!=this.state.registeredVariables[t.name]&&delete this.state.registeredVariables[t.name]},t.prototype.memory=function(){var t=this.backend.memory();return t.numTensors=this.state.numTensors,t.numDataBuffers=this.state.numDataBuffers,t.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(t.unreliable=!0,null==t.reasons&&(t.reasons=[]),t.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),t},t.prototype.profile=function(t){return r(this,void 0,void 0,(function(){var e,n;return o(this,(function(r){return this.state.profiling=!0,e=this.state.numBytes,n=this.state.numTensors,this.state.activeProfile.kernels=[],this.state.activeProfile.result=t(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max.apply(Math,this.state.activeProfile.kernels.map((function(t){return t.totalBytesSnapshot}))),this.state.activeProfile.newBytes=this.state.numBytes-e,this.state.activeProfile.newTensors=this.state.numTensors-n,[2,this.state.activeProfile]}))}))},t.prototype.isTapeOn=function(){return this.state.gradientDepth>0&&0===this.state.kernelDepth},t.prototype.addTapeNode=function(t,e,n,r,o){var a=this,i={id:this.state.nextTapeNodeId++,kernelName:t,inputs:e,outputs:n,saved:o},s=h(t);null!=s&&(r=s.gradFunc),null!=r&&(i.gradient=function(t){return t=t.map((function(t,e){if(null==t){var r=n[e],o=J(r.size,r.dtype);return a.makeTensor(o,r.shape,r.dtype)}return t})),r(t.length>1?t:t[0],o)}),this.state.activeTape.push(i)},t.prototype.keep=function(t){return t.kept=!0,t},t.prototype.startTape=function(){0===this.state.gradientDepth&&(this.state.activeTape=[]),this.state.gradientDepth++},t.prototype.endTape=function(){this.state.gradientDepth--},t.prototype.startScope=function(t){var e={track:[],name:"unnamed scope",id:this.state.nextScopeId++};t&&(e.name=t),this.state.scopeStack.push(e),this.state.activeScope=e},t.prototype.endScope=function(t){for(var e=this,n=Dt(t),r=new Set(n.map((function(t){return t.id}))),o=0;o<this.state.activeScope.track.length;o++){var a=this.state.activeScope.track[o];a.kept||r.has(a.id)||a.dispose()}var i=this.state.scopeStack.pop();this.state.activeScope=0===this.state.scopeStack.length?null:this.state.scopeStack[this.state.scopeStack.length-1],n.forEach((function(t){t.kept||t.scopeId!==i.id||e.track(t)}))},t.prototype.gradients=function(t,e,n,r){var o=this;if(void 0===r&&(r=!1),b(e.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 '"+n.dtype+"'");var a=this.scopedRun((function(){return o.startTape()}),(function(){return o.endTape()}),(function(){return o.tidy("forward",t)}));b(a instanceof gt,(function(){return"The result y returned by f() must be a tensor."}));var i=function(t,e,n){for(var r={},o={},a=0;a<e.length;a++)r[e[a].id]=!0;for(a=0;a<t.length;a++){var i=(p=t[a]).inputs;for(var s in i){for(var u=i[s],c=!1,l=0;l<e.length;l++)if(r[u.id]){p.outputs.forEach((function(t){return r[t.id]=!0})),c=!0,o[p.id]=!0;break}if(c)break}}var h={};h[n.id]=!0;var d={};for(a=t.length-1;a>=0;a--)for(i=(p=t[a]).inputs,l=0;l<p.outputs.length;l++)if(h[p.outputs[l].id]){for(var s in i)h[i[s].id]=!0,d[p.id]=!0;break}var f=[];for(a=0;a<t.length;a++){var p;if(o[(p=t[a]).id]&&d[p.id]){var v={};for(var s in p.inputs){var m=p.inputs[s];r[m.id]&&(v[s]=m)}var g=Object.assign({},p);g.inputs=v,g.outputs=p.outputs,f.push(g)}}return f}(this.state.activeTape,e,a);if(!r&&0===i.length&&e.length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.");return this.tidy("backward",(function(){var t,r,s={};s[a.id]=null==n?(t=a.shape,r=Q(R(t),"float3