| 1 | /**
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| 2 | * @license
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| 3 | * Copyright 2020 Google LLC. All Rights Reserved.
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| 4 | * Licensed under the Apache License, Version 2.0 (the "License");
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| 5 | * you may not use this file except in compliance with the License.
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| 6 | * You may obtain a copy of the License at
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| 7 | *
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| 8 | * http://www.apache.org/licenses/LICENSE-2.0
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| 9 | *
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| 10 | * Unless required by applicable law or agreed to in writing, software
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| 11 | * distributed under the License is distributed on an "AS IS" BASIS,
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| 12 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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| 13 | * See the License for the specific language governing permissions and
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| 14 | * limitations under the License.
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| 15 | * =============================================================================
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| 16 | */
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| 17 | /// <amd-module name="@tensorflow/tfjs-core/dist/ops/dilation2d" />
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| 18 | import { Tensor3D, Tensor4D } from '../tensor';
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| 19 | import { TensorLike } from '../types';
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| 20 | /**
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| 21 | * Computes the grayscale dilation over the input `x`.
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| 22 | *
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| 23 | * @param x The input tensor, rank 3 or rank 4 of shape
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| 24 | * `[batch, height, width, inChannels]`. If rank 3, batch of 1 is assumed.
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| 25 | * @param filter The filter tensor, rank 3, of shape
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| 26 | * `[filterHeight, filterWidth, depth]`.
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| 27 | * @param strides The strides of the sliding window for each dimension of the
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| 28 | * input tensor: `[strideHeight, strideWidth]`.
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| 29 | * If `strides` is a single number,
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| 30 | * then `strideHeight == strideWidth`.
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| 31 | * @param pad The type of padding algorithm.
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| 32 | * - `same` and stride 1: output will be of same size as input,
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| 33 | * regardless of filter size.
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| 34 | * - `valid`: output will be smaller than input if filter is larger
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| 35 | * than 1*1x1.
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| 36 | * - For more info, see this guide:
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| 37 | * [https://www.tensorflow.org/api_docs/python/tf/nn/convolution](
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| 38 | * https://www.tensorflow.org/api_docs/python/tf/nn/convolution)
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| 39 | * @param dataFormat Specify the data format of the input and output data.
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| 40 | * Defaults to 'NHWC'. Only 'NHWC' is currently supported. With the
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| 41 | * default format "NHWC", the data is stored in the order of: [batch,
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| 42 | * height, width, channels].
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| 43 | * @param dilations The dilation rates: `[dilationHeight, dilationWidth]`
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| 44 | * in which we sample input values across the height and width dimensions
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| 45 | * for atrous morphological dilation. Defaults to `[1, 1]`. If `dilations`
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| 46 | * is a single number, then `dilationHeight == dilationWidth`. If it is
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| 47 | * greater than 1, then all values of `strides` must be 1.
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| 48 | *
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| 49 | * @doc {heading: 'Operations', subheading: 'Convolution'}
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| 50 | */
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| 51 | declare function dilation2d_<T extends Tensor3D | Tensor4D>(x: T | TensorLike, filter: Tensor3D | TensorLike, strides: [number, number] | number, pad: 'valid' | 'same', dilations?: [number, number] | number, dataFormat?: 'NHWC'): T;
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| 52 | export declare const dilation2d: typeof dilation2d_;
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| 53 | export {};
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