@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
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TypeScript
/// <amd-module name="@tensorflow/tfjs-core/dist/kernel_registry" />
import { NamedGradientMap } from './tape';
import { Tensor } from './tensor';
import { TensorInfo } from './tensor_info';
import { RecursiveArray } from './types';
type AttributeValue = number | number[] | boolean | boolean[] | string | string[] | NamedAttrMap;
/** These are extra non-tensor/primitive params passed to kernel functions. */
export type Attribute = AttributeValue | RecursiveArray<AttributeValue>;
/** Specifies the code to run when executing a kernel. */
export type KernelFunc = (params: {
inputs: NamedTensorInfoMap;
backend: {};
attrs?: NamedAttrMap;
}) => TensorInfo | TensorInfo[];
/** The function to run when computing a gradient during backprop. */
export type GradFunc = (dy: Tensor | Tensor[], saved: Tensor[], attrs: NamedAttrMap) => NamedGradientMap;
/** Function that gets called after the backend initializes. */
export type KernelSetupFunc = (backend: {}) => void;
/** Function that gets called right before the backend is disposed. */
export 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;
inputsToSave?: string[];
saveAllInputs?: boolean;
outputsToSave?: boolean[];
gradFunc: GradFunc;
}
export interface NamedTensorInfoMap {
[name: string]: TensorInfo | undefined;
}
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;
/**
* Finds kernels that have already been registered to a backend and re-registers
* them for a new backend. Useful for registering custom backends.
* @param registeredBackendName Already registered backend.
* @param newBackendName New backend.
*/
export declare function copyRegisteredKernels(registeredBackendName: string, newBackendName: string): void;
export {};