/**
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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 } from '../tensor';
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import { TensorLike } from '../types';
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/**
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* Transposes the `tf.Tensor`. Permutes the dimensions according to `perm`.
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*
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* The returned `tf.Tensor`'s dimension `i` will correspond to the input
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* dimension `perm[i]`. If `perm` is not given, it is set to `[n-1...0]`,
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* where `n` is the rank of the input `tf.Tensor`. Hence by default, this
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* operation performs a regular matrix transpose on 2-D input `tf.Tensor`s.
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*
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* ```js
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* const a = tf.tensor2d([1, 2, 3, 4, 5, 6], [2, 3]);
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*
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* a.transpose().print(); // or tf.transpose(a)
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* ```
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*
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* @param x The tensor to transpose.
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* @param perm The permutation of the dimensions of a.
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*/
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/** @doc {heading: 'Operations', subheading: 'Matrices'} */
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declare function transpose_<T extends Tensor>(x: T | TensorLike, perm?: number[]): T;
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export declare const transpose: typeof transpose_;
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export {};
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