/**
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* @license
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* Copyright 2023 Google LLC.
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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/ensure_shape" />
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import { Tensor } from '../tensor';
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import { Rank, ShapeMap } from '../types';
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/**
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* Checks the input tensor mathes the 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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* The method supports the null value in tensor. It will still check the shapes,
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* and null is a placeholder.
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*
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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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* const y = tf.tensor1d([1, null, 3, 4]);
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* const z = tf.tensor2d([1, 2, 3, 4], [2,2]);
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* tf.ensureShape(x, [4]).print();
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* tf.ensureShape(y, [4]).print();
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* tf.ensureShape(z, [null, 2]).print();
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* ```
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*
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* @param x The input tensor to be ensured.
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* @param shape A TensorShape representing the shape of this tensor, an array
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* or null.
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*
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* @doc {heading: 'Tensors', subheading: 'Transformations'}
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*/
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declare function ensureShape_<R extends Rank>(x: Tensor, shape: ShapeMap[R]): Tensor;
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export declare const ensureShape: typeof ensureShape_;
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export {};
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