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1/**
2 * @license
3 * Copyright 2020 Google LLC. All Rights Reserved.
4 * Licensed under the Apache License, Version 2.0 (the "License");
5 * you may not use this file except in compliance with the License.
6 * You may obtain a copy of the License at
7 *
8 * http://www.apache.org/licenses/LICENSE-2.0
9 *
10 * Unless required by applicable law or agreed to in writing, software
11 * distributed under the License is distributed on an "AS IS" BASIS,
12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 * See the License for the specific language governing permissions and
14 * limitations under the License.
15 * =============================================================================
16 */
17import { ENGINE } from '../engine';
18import { BatchMatMul } from '../kernel_names';
19import { makeTypesMatch } from '../tensor_util';
20import { convertToTensor } from '../tensor_util_env';
21import { op } from './operation';
22/**
23 * Computes the dot product of two matrices, A * B. These must be matrices.
24 *
25 * ```js
26 * const a = tf.tensor2d([1, 2], [1, 2]);
27 * const b = tf.tensor2d([1, 2, 3, 4], [2, 2]);
28 *
29 * a.matMul(b).print(); // or tf.matMul(a, b)
30 * ```
31 * @param a First matrix in dot product operation.
32 * @param b Second matrix in dot product operation.
33 * @param transposeA If true, `a` is transposed before multiplication.
34 * @param transposeB If true, `b` is transposed before multiplication.
35 *
36 * @doc {heading: 'Operations', subheading: 'Matrices'}
37 */
38function matMul_(a, b, transposeA = false, transposeB = false) {
39 let $a = convertToTensor(a, 'a', 'matMul');
40 let $b = convertToTensor(b, 'b', 'matMul');
41 [$a, $b] = makeTypesMatch($a, $b);
42 const inputs = { a: $a, b: $b };
43 const attrs = { transposeA, transposeB };
44 return ENGINE.runKernel(BatchMatMul, inputs, attrs);
45}
46export const matMul = op({ matMul_ });
47//# sourceMappingURL=mat_mul.js.map
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