/// <amd-module name="@tensorflow/tfjs-core/dist/ops/conv1d" />
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/**
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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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import { Tensor2D, Tensor3D } from '../tensor';
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import { TensorLike } from '../types';
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import * as conv_util from './conv_util';
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/**
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* Computes a 1D convolution over the input x.
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*
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* @param x The input tensor, of rank 3 or rank 2, of shape
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* `[batch, width, inChannels]`. If rank 2, batch of 1 is assumed.
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* @param filter The filter, rank 3, of shape
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* `[filterWidth, inDepth, outDepth]`.
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* @param stride The number of entries by which the filter is moved right at
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* each step.
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* @param pad The type of padding algorithm.
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* - `same` and stride 1: output will be of same size as input,
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* regardless of filter size.
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* - `valid`: output will be smaller than input if filter is larger
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* than 1x1.
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* - For more info, see this guide:
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* [https://www.tensorflow.org/api_docs/python/tf/nn/convolution](
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* https://www.tensorflow.org/api_docs/python/tf/nn/convolution)
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* @param dataFormat An optional string from "NWC", "NCW". Defaults to "NWC",
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* the data is stored in the order of [batch, in_width, in_channels]. Only
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* "NWC" is currently supported.
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* @param dilation The dilation rate in which we sample input values in
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* atrous convolution. Defaults to `1`. If it is greater than 1, then
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* stride must be `1`.
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* @param dimRoundingMode A string from: 'ceil', 'round', 'floor'. If none is
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* provided, it will default to truncate.
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*
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* @doc {heading: 'Operations', subheading: 'Convolution'}
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*/
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declare function conv1d_<T extends Tensor2D | Tensor3D>(x: T | TensorLike, filter: Tensor3D | TensorLike, stride: number, pad: 'valid' | 'same' | number | conv_util.ExplicitPadding, dataFormat?: 'NWC' | 'NCW', dilation?: number, dimRoundingMode?: 'floor' | 'round' | 'ceil'): T;
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export declare const conv1d: typeof conv1d_;
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export {};
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