/**
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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/pad" />
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import { Tensor } from '../tensor';
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import { TensorLike } from '../types';
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/**
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* Pads a `tf.Tensor` with a given value and paddings.
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*
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* This operation implements `CONSTANT` mode. For `REFLECT` and `SYMMETRIC`,
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* refer to `tf.mirrorPad`.
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*
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* Also available are stricter rank-specific methods with the same signature
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* as this method that assert that `paddings` is of given length.
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* - `tf.pad1d`
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* - `tf.pad2d`
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* - `tf.pad3d`
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* - `tf.pad4d`
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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.pad([[1, 2]]).print();
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* ```
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* @param x The tensor to pad.
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* @param paddings An array of length `R` (the rank of the tensor), where
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* each element is a length-2 tuple of ints `[padBefore, padAfter]`,
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* specifying how much to pad along each dimension of the tensor.
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* @param constantValue The pad value to use. Defaults to 0.
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*
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* @doc {heading: 'Tensors', subheading: 'Transformations'}
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*/
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declare function pad_<T extends Tensor>(x: T | TensorLike, paddings: Array<[number, number]>, constantValue?: number): T;
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export declare const pad: typeof pad_;
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export {};
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