@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
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TypeScript
/**
* @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.
* =============================================================================
*/
import { Tensor } from '../tensor';
export declare function assertParamsValid(input: Tensor, begin: number[], size: number[]): void;
/**
* Calculate the start index and output tensor shape for strided slice op.
* @returns array of [startIndex, size, shrinkAxis]
*/
export declare function getStridedSlicedInfo(shape: number[], begin: number[], end: number[], strides: number[], beginMask?: number, endMask?: number, ellipsisMask?: number, newAxisMask?: number, shrinkAxisMask?: number): [number[], number[], number[]];
export declare function startForAxis(beginMask: number, startIndices: number[], strides: number[], inputShape: number[], axis: number): number;
export declare function stopForAxis(endMask: number, stopIndices: number[], strides: number[], inputShape: number[], axis: number): number;
/**
* Returns true if the slice occupies a continous set of elements in the
* 'flat' space.
*/
export declare function isSliceContinous(shape: number[], begin: number[], size: number[]): boolean;
export declare function computeFlatOffset(begin: number[], strides: number[]): number;