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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/dot" /> import { Tensor } from '../tensor'; import { TensorLike } from '../types'; /** * Computes the dot product of two matrices and/or vectors, `t1` and `t2`. * * ```js * const a = tf.tensor1d([1, 2]); * const b = tf.tensor2d([[1, 2], [3, 4]]); * const c = tf.tensor2d([[1, 2, 3], [4, 5, 6]]); * * a.dot(b).print(); // or tf.dot(a, b) * b.dot(a).print(); * b.dot(c).print(); * ``` * @param t1 The first tensor in the dot operation. * @param t2 The second tensor in the dot operation. * * @doc {heading: 'Operations', subheading: 'Matrices'} */ declare function dot_(t1: Tensor | TensorLike, t2: Tensor | TensorLike): Tensor; export declare const dot: typeof dot_; export {};