/**
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* @license
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* Copyright 2018 Google Inc. 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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import { Tensor, Tensor1D, Tensor2D } from '../tensor';
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import { TensorLike } from '../types';
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/**
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* Computes the dot product of two matrices, A * B. These must be matrices.
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*
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* ```js
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* const a = tf.tensor2d([1, 2], [1, 2]);
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* const b = tf.tensor2d([1, 2, 3, 4], [2, 2]);
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*
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* a.matMul(b).print(); // or tf.matMul(a, b)
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* ```
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* @param a First matrix in dot product operation.
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* @param b Second matrix in dot product operation.
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* @param transposeA If true, `a` is transposed before multiplication.
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* @param transposeB If true, `b` is transposed before multiplication.
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*/
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/** @doc {heading: 'Operations', subheading: 'Matrices'} */
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declare function matMul_<T extends Tensor>(a: T | TensorLike, b: T | TensorLike, transposeA?: boolean, transposeB?: boolean): T;
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/**
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* Computes the outer product of two vectors, `v1` and `v2`.
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*
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* ```js
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* const a = tf.tensor1d([1, 2, 3]);
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* const b = tf.tensor1d([3, 4, 5]);
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*
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* tf.outerProduct(a, b).print();
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* ```
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* @param v1 The first vector in the outer product operation.
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* @param v2 The second vector in the outer product operation.
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*/
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/** @doc {heading: 'Operations', subheading: 'Matrices'} */
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declare function outerProduct_(v1: Tensor1D | TensorLike, v2: Tensor1D | TensorLike): Tensor2D;
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/**
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* Computes the dot product of two matrices and/or vectors, `t1` and `t2`.
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*
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* ```js
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* const a = tf.tensor1d([1, 2]);
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* const b = tf.tensor2d([[1, 2], [3, 4]]);
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* const c = tf.tensor2d([[1, 2, 3], [4, 5, 6]]);
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*
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* a.dot(b).print(); // or tf.dot(a, b)
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* b.dot(a).print();
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* b.dot(c).print();
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* ```
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* @param t1 The first tensor in the dot operation.
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* @param t2 The second tensor in the dot operation.
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*/
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/** @doc {heading: 'Operations', subheading: 'Matrices'} */
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declare function dot_(t1: Tensor | TensorLike, t2: Tensor | TensorLike): Tensor;
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export declare const matMul: typeof matMul_;
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export declare const dot: typeof dot_;
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export declare const outerProduct: typeof outerProduct_;
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export {};
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