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@tensorflow/tfjs-core

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Hardware-accelerated JavaScript library for machine intelligence

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/** * @license * Copyright 2017 Google Inc. 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. * ============================================================================= */ /** * @fileoverview * @suppress {partialAlias} Optimization disabled due to passing the module * object into a function below: * * import * as ops from './ops/ops'; * setOpHandler(ops); */ // Engine is the global singleton that needs to be initialized before the rest // of the app. import './engine'; // Register backend-agnostic flags. import './flags'; // backend_cpu.ts and backend_webgl.ts are standalone files and should be // explicitly included here. import './backends/webgl/backend_webgl'; import './backends/cpu/backend_cpu'; // Import all kernels from cpu. import './backends/cpu/register_all_kernels'; // Import all kernels from webgl. import './backends/webgl/register_all_kernels'; // Register all the gradients. import './register_all_gradients'; import './platforms/platform_browser'; import './platforms/platform_node'; import * as backend_util from './backends/backend_util'; // Serialization. import * as io from './io/io'; import * as math from './math'; import * as browser from './ops/browser'; import * as gather_util from './ops/gather_nd_util'; import * as scatter_util from './ops/scatter_nd_util'; import * as slice_util from './ops/slice_util'; import * as serialization from './serialization'; import {setOpHandler} from './tensor'; import * as tensor_util from './tensor_util'; import * as test_util from './test_util'; import * as util from './util'; import {version} from './version'; import * as webgl from './webgl'; export {InferenceModel, MetaGraph, MetaGraphInfo, ModelPredictConfig, ModelTensorInfo, SavedModelTensorInfo, SignatureDef, SignatureDefInfo} from './model_types'; // Optimizers. export {AdadeltaOptimizer} from './optimizers/adadelta_optimizer'; export {AdagradOptimizer} from './optimizers/adagrad_optimizer'; export {AdamOptimizer} from './optimizers/adam_optimizer'; export {AdamaxOptimizer} from './optimizers/adamax_optimizer'; export {MomentumOptimizer} from './optimizers/momentum_optimizer'; export {Optimizer} from './optimizers/optimizer'; export {RMSPropOptimizer} from './optimizers/rmsprop_optimizer'; export {SGDOptimizer} from './optimizers/sgd_optimizer'; export {Scalar, Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D, Tensor5D, TensorBuffer, Variable} from './tensor'; export {GradSaveFunc, NamedTensorMap, TensorContainer, TensorContainerArray, TensorContainerObject} from './tensor_types'; export {DataType, DataTypeMap, DataValues, Rank, RecursiveArray, ShapeMap, sumOutType, TensorLike} from './types'; export * from './ops/ops'; export {LSTMCellFunc} from './ops/lstm'; export {Reduction} from './ops/loss_ops'; export * from './train'; export * from './globals'; export * from './kernel_registry'; export {customGrad, grad, grads, valueAndGrad, valueAndGrads, variableGrads} from './gradients'; export {TimingInfo, MemoryInfo} from './engine'; export {Environment, env, ENV} from './environment'; export {Platform} from './platforms/platform'; export {version as version_core}; // Top-level method exports. export {nextFrame} from './browser_util'; // Second level exports. export { browser, io, math, serialization, test_util, util, backend_util, webgl, tensor_util, slice_util, gather_util, scatter_util }; // Backend specific. export {KernelBackend, BackendTimingInfo, DataMover, DataStorage} from './backends/backend'; import * as ops from './ops/ops'; setOpHandler(ops); // Import all op chainers and add type info to Tensor. import './public/chained_ops/register_all_chained_ops';