/**
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* @license
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* Copyright 2020 Google LLC. 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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/// <amd-module name="@tensorflow/tfjs-core/dist/ops/reshape" />
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import { Tensor } from '../tensor';
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import { Rank, ShapeMap, TensorLike } from '../types';
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/**
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* Reshapes a `tf.Tensor` to a given shape.
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*
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* Given an input tensor, returns a new tensor with the same values as the
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* input tensor with shape `shape`.
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*
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* If one component of shape is the special value -1, the size of that
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* dimension is computed so that the total size remains constant. In
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* particular, a shape of [-1] flattens into 1-D. At most one component of
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* shape can be -1.
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*
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* If shape is 1-D or higher, then the operation returns a tensor with shape
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* shape filled with the values of tensor. In this case, the number of
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* elements implied by shape must be the same as the number of elements in
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* tensor.
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*
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* ```js
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* const x = tf.tensor1d([1, 2, 3, 4]);
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* x.reshape([2, 2]).print();
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* ```
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*
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* @param x The input tensor to be reshaped.
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* @param shape An array of integers defining the output tensor shape.
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*
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* @doc {heading: 'Tensors', subheading: 'Transformations'}
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*/
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declare function reshape_<R extends Rank>(x: Tensor | TensorLike, shape: ShapeMap[R]): Tensor<R>;
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export declare const reshape: typeof reshape_;
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export {};
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