@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
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TypeScript
/**
* @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 {};