/**
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* @license
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* Copyright 2017 Google LLC. All Rights Reserved.
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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* =============================================================================
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*/
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/// <amd-module name="@tensorflow/tfjs-core/dist/tape" />
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import { Tensor } from './tensor';
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import { NamedTensorMap } from './tensor_types';
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export interface TapeNode {
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id: number;
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kernelName: string;
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outputs: Tensor[];
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inputs: NamedTensorMap;
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gradient?: (dys: Tensor[]) => NamedGradientMap;
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saved?: Tensor[];
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}
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export type NamedGradientMap = {
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[inputName: string]: () => Tensor;
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};
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/**
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* Computes a list of TapeNodes that connect x to y, filtering everything else
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* out and preserving the order of the original tape elements.
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*
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* @param tape The tape elements to filter.
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* @param xs The input Tensors.
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* @param y The output Tensor.
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*/
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export declare function getFilteredNodesXToY(tape: TapeNode[], xs: Tensor[], y: Tensor): TapeNode[];
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/**
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* Backpropagate gradients through the filtered TapeNodes.
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*
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* @param tensorAccumulatedGradientMap A map of Tensor to its gradient. This map
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* is mutated by this method.
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* @param filteredTape The filtered TapeNodes to backprop through.
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*/
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export declare function backpropagateGradients(tensorAccumulatedGradientMap: {
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[tensorId: number]: Tensor;
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}, filteredTape: TapeNode[], tidy: (f: Function) => Tensor, add: (a: Tensor, b: Tensor) => Tensor): void;
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