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

Hardware-accelerated JavaScript library for machine intelligence

/**
 * @license
 * Copyright 2019 Google LLC. All Rights Reserved.
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 * =============================================================================
 */
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this.throwIfDisposed(),ht.neg(this)},t.prototype.ceil=function(){return this.throwIfDisposed(),ht.ceil(this)},t.prototype.floor=function(){return this.throwIfDisposed(),ht.floor(this)},t.prototype.sign=function(){return this.throwIfDisposed(),ht.sign(this)},t.prototype.isNaN=function(){return this.throwIfDisposed(),ht.isNaN(this)},t.prototype.isInf=function(){return this.throwIfDisposed(),ht.isInf(this)},t.prototype.isFinite=function(){return this.throwIfDisposed(),ht.isFinite(this)},t.prototype.exp=function(){return this.throwIfDisposed(),ht.exp(this)},t.prototype.expm1=function(){return this.throwIfDisposed(),ht.expm1(this)},t.prototype.log=function(){return this.throwIfDisposed(),ht.log(this)},t.prototype.log1p=function(){return this.throwIfDisposed(),ht.log1p(this)},t.prototype.sqrt=function(){return this.throwIfDisposed(),ht.sqrt(this)},t.prototype.rsqrt=function(){return this.throwIfDisposed(),ht.rsqrt(this)},t.prototype.square=function(){return this.throwIfDisposed(),ht.square(this)},t.prototype.reciprocal=function(){return this.throwIfDisposed(),ht.reciprocal(this)},t.prototype.abs=function(){return this.throwIfDisposed(),ht.abs(this)},t.prototype.clipByValue=function(t,e){return this.throwIfDisposed(),ht.clipByValue(this,t,e)},t.prototype.relu=function(){return this.throwIfDisposed(),ht.relu(this)},t.prototype.elu=function(){return this.throwIfDisposed(),ht.elu(this)},t.prototype.selu=function(){return this.throwIfDisposed(),ht.selu(this)},t.prototype.leakyRelu=function(t){return void 0===t&&(t=.2),this.throwIfDisposed(),ht.leakyRelu(this,t)},t.prototype.prelu=function(t){return this.throwIfDisposed(),ht.prelu(this,t)},t.prototype.sigmoid=function(){return this.throwIfDisposed(),ht.sigmoid(this)},t.prototype.logSigmoid=function(){return this.throwIfDisposed(),ht.logSigmoid(this)},t.prototype.softplus=function(){return this.throwIfDisposed(),ht.softplus(this)},t.prototype.zerosLike=function(){return 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this.throwIfDisposed(),ht.pool(this,t,e,n,r,o)},t.prototype.variable=function(t,e,n){return void 0===t&&(t=!0),this.throwIfDisposed(),dt.variable(this,t,e,n)},t.prototype.unsortedSegmentSum=function(t,e){return this.throwIfDisposed(),ht.unsortedSegmentSum(this,t,e)},t.prototype.batchToSpaceND=function(t,e){return this.throwIfDisposed(),ht.batchToSpaceND(this,t,e)},t.prototype.spaceToBatchND=function(t,e){return this.throwIfDisposed(),ht.spaceToBatchND(this,t,e)},t.prototype.topk=function(t,e){return void 0===t&&(t=1),void 0===e&&(e=!0),this.throwIfDisposed(),ht.topk(this,t,e)},t.prototype.stridedSlice=function(t,e,n,r,o,a,i,s){return void 0===r&&(r=0),void 0===o&&(o=0),void 0===a&&(a=0),void 0===i&&(i=0),void 0===s&&(s=0),this.throwIfDisposed(),ht.stridedSlice(this,t,e,n,r,o,a,i,s)},t.prototype.depthToSpace=function(t,e){return this.throwIfDisposed(),ht.depthToSpace(this,t,e)},t.prototype.fft=function(){return 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wt={float32:yt,int32:mt,bool:gt,complex64:xt};function Ct(t,e){if("string"===t||"string"===e){if("string"===t&&"string"===e)return"string";throw new Error("Can not upcast "+t+" with "+e)}return wt[t][e]}function Et(t){return Ct(t,"int32")}function Rt(t,e){if(t.dtype===e.dtype)return[t,e];var n=Ct(t.dtype,e.dtype);return[t.cast(n),e.cast(n)]}function It(t,e){d(t.dtype===e.dtype,function(){return"The dtypes of the first("+t.dtype+") and second("+e.dtype+") input must match"})}function St(t){var e=[];return function t(e,n,r){if(null==e)return;if(e instanceof ft)return void n.push(e);if(o=e,!Array.isArray(o)&&"object"!=typeof o)return;var o;var a=e;for(var i in a){var s=a[i];r.has(s)||(r.add(s),t(s,n,r))}}(t,e,new Set),e}var Nt,kt=Object.freeze({makeTypesMatch:Rt,assertTypesMatch:It,isTensorInList:function(t,e){for(var n=0;n<e.length;n++)if(e[n].id===t.id)return!0;return!1},getTensorsInContainer:St}),At=function(){function 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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() 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() 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.profiler=new tt(this.backendInstance),[2,!0]}})})},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.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){this.write(t,e,this.readSync(e))},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=ft.make(t.shape,{dataId:t.dataId},t.dtype);return this.addTapeNode([t],e,function(t){return[t.toFloat()]}),e},t.prototype.runKernel=function(t,e,n){var r,o=this,a=[],i=this.isTapeOn(),s=null!=this.state.activeScope?this.state.activeScope.name:"",u=function(t){i&&(a=t.map(function(t){return o.keep(o.clone(t))}))},l=this.state.numBytes,c=this.state.numTensors;if(this.scopedRun(function(){return o.state.kernelDepth++},function(){return o.state.kernelDepth--},function(){r=o.ENV.getBool("DEBUG")?o.profiler.profileKernel(s,function(){return t(o.backend,u)}):t(o.backend,u)}),i){var h={id:this.state.nextTapeNodeId++,name:s,inputs:e,outputs:Array.isArray(r)?r:[r],saved:a};null!=n&&(h.gradient=function(t){return n(t,a)}),this.state.activeTape.push(h)}return this.state.profiling&&this.state.activeProfile.kernels.push({name:s,bytesAdded:this.state.numBytes-l,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-c,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(e).map(function(t){return e[t].shape}),outputShape:Array.isArray(r)?r.map(function(t){return t.shape}):r.shape}),r},t.prototype.registerTensor=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*F(t.dtype)),this.state.tensorInfo.set(t.dataId,{backend:null!=e?e:this.backend,dtype:t.dtype,shape:t.shape,bytes:r,refCount:0}),this.state.numBytes+=r,null!=e?e.register(t.dataId,t.shape,t.dtype):this.backend.register(t.dataId,t.shape,t.dtype)}this.state.tensorInfo.get(t.dataId).refCount++,t instanceof dt||this.track(t)},t.prototype.registerVariable=function(t){if(null!=this.state.registeredVariables[t.name])throw new Error("Variable with name "+t.name+" was already registered");this.state.registeredVariables[t.name]=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){var r={};t.forEach(function(t,e){r[e]=t});var o={id:this.state.nextTapeNodeId++,name:this.state.activeScope.name,inputs:r,outputs:[e],gradient:function(t){var e=n(t),r={};return e.forEach(function(t,e){r[e]=function(){return t}}),r}};this.state.activeTape.push(o)},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=St(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),d(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)});d(a instanceof ft,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=(d=t[a]).inputs;for(var s in i){for(var u=i[s],l=!1,c=0;c<e.length;c++)if(r[u.id]){d.outputs.forEach(function(t){return r[t.id]=!0}),l=!0,o[d.id]=!0;break}if(l)break}}var h={};h[n.id]=!0;var p={};for(a=t.length-1;a>=0;a--)for(i=(d=t[a]).inputs,c=0;c<d.outputs.length;c++)if(h[d.outputs[c].id]){for(var s in i)h[i[s].id]=!0,p[d.id]=!0;break}var f=[];for(a=0;a<t.length;a++){var d;if(o[(d=t[a]).id]&&p[d.id]){var v={};for(var s in d.inputs){var m=d.inputs[s];r[m.id]&&(v[s]=m)}var g=Object.assign({},d);g.inputs=v,g.outputs=d.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=$(y(t),"float32"),ft.make(t,{values:r})):n,function(t,e,n){for(var r=function(r){var o=e[r],a=[];if(o.outputs.forEach(function(e){var n=t[e.id];if(null!=n)a.push(n);else{var r=ft.make(e.shape,{values:j(e.size,e.dtype)},e.dtype);a.push(r)}}),null==o.gradient)throw new Error("Cannot compute gradient: gradient function not found for "+o.name+".");var i=o.gradient(1===o.outputs.length?a[0]:a),s=function(e){if(!(e in i))throw new Error("Cannot backprop through input "+e+". Available gradients found: "+Object.keys(i)+".");var r=n(function(){return i[e]()});if("float32"!==r.dtype)throw new Error("Error in gradient for op "+o.name+". The gradient of input "+e+" must have 'float32' dtype, but has '"+r.dtype+"'");var a=o.inputs[e];if(!x(r.shape,a.shape))throw new Error("Error in gradient for op "+o.name+". The gradient of input '"+e+"' has shape '"+r.shape+"', which does not match the shape of the input '"+a.shape+"'");if(null==t[a.id])t[a.id]=r;else{var s=t[a.id];t[a.id]=s.add(r),s.dispose()}};for(var u in o.inputs)s(u)},o=e.length-1;o>=0;o--)r(o)}(s,i,function(t){return o.tidy(t)});var u=e.map(function(t){return s[t.id]});return 0===o.state.gradientDepth&&(o.state.activeTape.forEach(function(t){for(var e in t.saved)t.saved[e].dispose()}),o.state.activeTape=null),{value:a,grads:u}})},t.prototype.customGrad=function(t){var e=this;return d(z(t),function(){return"The f passed in customGrad(f) must be a function."}),function(){for(var n,r=[],o=0;o<arguments.length;o++)r[o]=arguments[o];d(r.every(function(t){return t instanceof ft}),function(){return"The args passed in customGrad(f)(x1, x2,...) must all be tensors"});var a={};return r.forEach(function(t,e){a[e]=t}),e.runKernel(function(e,o){return d((n=t.apply(void 0,r.concat([o]))).value instanceof ft,function(){return"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor"}),d(z(n.gradFunc),function(){return"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function."}),n.value},a,function(t,e){var o=n.gradFunc(t,e),a=Array.isArray(o)?o:[o];d(a.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(...)."}),d(a.every(function(t){return t instanceof ft}),function(){return"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors."});var i={};return a.forEach(function(t,e){i[e]=function(){return t}}),i})}},t.prototype.write=function(t,e,n){var r=this.state.tensorInfo.get(e),o=r.backend;if(t=t||this.backend,"string"===r.dtype){var a=B(n);this.state.numBytes+=a-r.bytes,r.bytes=a}t!==o&&(o.disposeData(e