@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
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TypeScript
/**
* @license
* Copyright 2017 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.
* =============================================================================
*/
/// <amd-module name="@tensorflow/tfjs-core/dist/tape" />
import { Tensor } from './tensor';
import { NamedTensorMap } from './tensor_types';
export interface TapeNode {
id: number;
kernelName: string;
outputs: Tensor[];
inputs: NamedTensorMap;
gradient?: (dys: Tensor[]) => NamedGradientMap;
saved?: Tensor[];
}
export type NamedGradientMap = {
[inputName: string]: () => Tensor;
};
/**
* Computes a list of TapeNodes that connect x to y, filtering everything else
* out and preserving the order of the original tape elements.
*
* @param tape The tape elements to filter.
* @param xs The input Tensors.
* @param y The output Tensor.
*/
export declare function getFilteredNodesXToY(tape: TapeNode[], xs: Tensor[], y: Tensor): TapeNode[];
/**
* Backpropagate gradients through the filtered TapeNodes.
*
* @param tensorAccumulatedGradientMap A map of Tensor to its gradient. This map
* is mutated by this method.
* @param filteredTape The filtered TapeNodes to backprop through.
*/
export declare function backpropagateGradients(tensorAccumulatedGradientMap: {
[tensorId: number]: Tensor;
}, filteredTape: TapeNode[], tidy: (f: Function) => Tensor, add: (a: Tensor, b: Tensor) => Tensor): void;