| 1 | /**
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| 2 | * @license
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| 3 | * Copyright 2018 Google LLC. All Rights Reserved.
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| 4 | * Licensed under the Apache License, Version 2.0 (the "License");
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| 5 | * you may not use this file except in compliance with the License.
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| 6 | * You may obtain a copy of the License at
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| 7 | *
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| 8 | * http://www.apache.org/licenses/LICENSE-2.0
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| 9 | *
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| 10 | * Unless required by applicable law or agreed to in writing, software
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| 11 | * distributed under the License is distributed on an "AS IS" BASIS,
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| 12 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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| 13 | * See the License for the specific language governing permissions and
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| 14 | * limitations under the License.
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| 15 | * =============================================================================
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| 16 | */
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| 17 | import { ENGINE } from '../engine';
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| 18 | import { Transpose } from '../kernel_names';
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| 19 | import { convertToTensor } from '../tensor_util_env';
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| 20 | import * as util from '../util';
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| 21 | import { op } from './operation';
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| 22 | /**
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| 23 | * Transposes the `tf.Tensor`. Permutes the dimensions according to `perm`.
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| 24 | *
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| 25 | * The returned `tf.Tensor`'s dimension `i` will correspond to the input
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| 26 | * dimension `perm[i]`. If `perm` is not given, it is set to `[n-1...0]`,
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| 27 | * where `n` is the rank of the input `tf.Tensor`. Hence by default, this
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| 28 | * operation performs a regular matrix transpose on 2-D input `tf.Tensor`s.
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| 29 | *
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| 30 | * ```js
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| 31 | * const a = tf.tensor2d([1, 2, 3, 4, 5, 6], [2, 3]);
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| 32 | *
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| 33 | * a.transpose().print(); // or tf.transpose(a)
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| 34 | * ```
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| 35 | *
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| 36 | * @param x The tensor to transpose.
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| 37 | * @param perm The permutation of the dimensions of a.
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| 38 | *
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| 39 | * @doc {heading: 'Operations', subheading: 'Matrices'}
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| 40 | */
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| 41 | function transpose_(x, perm) {
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| 42 | const $x = convertToTensor(x, 'x', 'transpose');
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| 43 | if (perm == null) {
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| 44 | perm = $x.shape.map((s, i) => i).reverse();
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| 45 | }
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| 46 | util.assert($x.rank === perm.length, () => `Error in transpose: rank of input ${$x.rank} ` +
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| 47 | `must match length of perm ${perm}.`);
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| 48 | perm.forEach(axis => {
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| 49 | util.assert(axis >= 0 && axis < $x.rank, () => `All entries in 'perm' must be between 0 and ${$x.rank - 1}` +
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| 50 | ` but got ${perm}`);
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| 51 | });
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| 52 | if ($x.rank <= 1) {
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| 53 | return $x.clone();
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| 54 | }
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| 55 | const inputs = { x: $x };
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| 56 | const attrs = { perm };
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| 57 | return ENGINE.runKernel(Transpose, inputs, attrs);
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| 58 | }
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| 59 | export const transpose = op({ transpose_ });
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| 60 | //# 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