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@tensorflow/tfjs-core

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Hardware-accelerated JavaScript library for machine intelligence

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/** * @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. * ============================================================================= */ import { Tensor } from './tensor'; import { DataType, RecursiveArray } from './types'; export declare type DataId = object; declare type AttributeValue = number | number[] | boolean | boolean[] | string | string[] | NamedAttrMap; /** These are extra non-tensor/primitive params passed to kernel functions. */ export declare type Attribute = AttributeValue | RecursiveArray<AttributeValue>; /** Specifies the code to run when executing a kernel. */ export declare type KernelFunc = (params: { inputs: NamedTensorInfoMap; backend: {}; attrs?: NamedAttrMap; }) => TensorInfo | TensorInfo[]; /** The function to run when computing a gradient during backprop. */ export declare type GradFunc = (dy: Tensor | Tensor[], saved: Tensor[]) => ({ [inputName: string]: () => Tensor; }); /** Function that gets called after the backend initializes. */ export declare type KernelSetupFunc = (backend: {}) => void; /** Function that gets called right before the backend is disposed. */ export declare type KernelDisposeFunc = KernelSetupFunc; /** Config object for registering a kernel in the global registry. */ export interface KernelConfig { kernelName: string; backendName: string; kernelFunc: KernelFunc; setupFunc?: KernelSetupFunc; disposeFunc?: KernelDisposeFunc; } /** Config object for registering a gradient in the global registry. */ export interface GradConfig { kernelName: string; gradFunc: GradFunc; } /** Holds metadata for a given tensor. */ export interface TensorInfo { dataId: DataId; shape: number[]; dtype: DataType; } export interface NamedTensorInfoMap { [name: string]: TensorInfo; } export interface NamedAttrMap { [name: string]: Attribute; } /** * Returns the kernel function (code) associated with the provided names. * * @param kernelName The official name of the kernel. * @param backendName The official name of the backend. */ export declare function getKernel(kernelName: string, backendName: string): KernelConfig; /** * Returns the registered gradient info associated with the provided kernel. * @param kernelName The official TF kernel name. */ export declare function getGradient(kernelName: string): GradConfig; export declare function getKernelsForBackend(backendName: string): KernelConfig[]; /** * Registers the function (forward pass) for the kernel in a global registry. * * @param config A config object with the following properties: * - `kernelName` The official name of the kernel. * - `backendName` The official name of the backend. * - `kernelFunc` The function to run during the forward pass of the kernel. * - `setupFunc` Optional. Gets called once, after the backend initializes. * - `disposeFunc` Optional. Gets called once, right before the backend is * disposed. */ export declare function registerKernel(config: KernelConfig): void; /** * Registers a gradient function for a given kernel in the global registry, * to be used during the back-propagation of that kernel. * * @param config An object with the following properties: * - `kernelName` The name of the kernel that the gradient function is for. * - `gradFunc` The function to run during back-propagation. */ export declare function registerGradient(config: GradConfig): void; /** * Removes the kernel function from the registry. * * @param kernelName The official name of the kernel. * @param backendName The official name of the backend. * */ export declare function unregisterKernel(kernelName: string, backendName: string): void; /** Removes the registered gradient from the global registry. */ export declare function unregisterGradient(kernelName: string): void; export {};