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@tensorflow/tfjs-core

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Hardware-accelerated JavaScript library for machine intelligence

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/** * @license * Copyright 2020 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/ops/squeeze" /> import { Tensor } from '../tensor'; import { TensorLike } from '../types'; /** * Removes dimensions of size 1 from the shape of a `tf.Tensor`. * * ```js * const x = tf.tensor([1, 2, 3, 4], [1, 1, 4]); * x.squeeze().print(); * ``` * * @param x The input tensor to be squeezed. * @param axis An optional list of numbers. If specified, only * squeezes the dimensions listed. The dimension index starts at 0. It * is an error to squeeze a dimension that is not 1. * * @doc {heading: 'Tensors', subheading: 'Transformations'} */ declare function squeeze_<T extends Tensor>(x: Tensor | TensorLike, axis?: number[]): T; export declare const squeeze: typeof squeeze_; export {};