| 1 | /// <amd-module name="@tensorflow/tfjs-core/dist/ops/depthwise_conv2d" />
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| 2 | import { Tensor3D, Tensor4D } from '../tensor';
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| 3 | import { TensorLike } from '../types';
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| 4 | import { ExplicitPadding } from './conv_util';
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| 5 | /**
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| 6 | * Depthwise 2D convolution.
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| 7 | *
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| 8 | * Given a 4D `input` array and a `filter` array of shape
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| 9 | * `[filterHeight, filterWidth, inChannels, channelMultiplier]` containing
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| 10 | * `inChannels` convolutional filters of depth 1, this op applies a
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| 11 | * different filter to each input channel (expanding from 1 channel to
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| 12 | * `channelMultiplier` channels for each), then concatenates the results
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| 13 | * together. The output has `inChannels * channelMultiplier` channels.
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| 14 | *
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| 15 | * See
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| 16 | * [https://www.tensorflow.org/api_docs/python/tf/nn/depthwise_conv2d](
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| 17 | * https://www.tensorflow.org/api_docs/python/tf/nn/depthwise_conv2d)
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| 18 | * for more details.
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| 19 | *
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| 20 | * @param x The input tensor, of rank 4 or rank 3, of shape
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| 21 | * `[batch, height, width, inChannels]`. If rank 3, batch of 1 is
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| 22 | * assumed.
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| 23 | * @param filter The filter tensor, rank 4, of shape
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| 24 | * `[filterHeight, filterWidth, inChannels, channelMultiplier]`.
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| 25 | * @param strides The strides of the convolution: `[strideHeight,
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| 26 | * strideWidth]`. If strides is a single number, then `strideHeight ==
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| 27 | * strideWidth`.
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| 28 | * @param pad The type of padding algorithm.
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| 29 | * - `same` and stride 1: output will be of same size as input,
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| 30 | * regardless of filter size.
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| 31 | * - `valid`: output will be smaller than input if filter is larger
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| 32 | * than 1x1.
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| 33 | * - For more info, see this guide:
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| 34 | * [https://www.tensorflow.org/api_docs/python/tf/nn/convolution](
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| 35 | * https://www.tensorflow.org/api_docs/python/tf/nn/convolution)
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| 36 | * @param dilations The dilation rates: `[dilationHeight, dilationWidth]`
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| 37 | * in which we sample input values across the height and width dimensions
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| 38 | * in atrous convolution. Defaults to `[1, 1]`. If `rate` is a single
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| 39 | * number, then `dilationHeight == dilationWidth`. If it is greater than
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| 40 | * 1, then all values of `strides` must be 1.
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| 41 | * @param dataFormat: An optional string from: "NHWC", "NCHW". Defaults to
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| 42 | * "NHWC". Specify the data format of the input and output data. With the
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| 43 | * default format "NHWC", the data is stored in the order of: [batch,
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| 44 | * height, width, channels]. Only "NHWC" is currently supported.
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| 45 | * @param dimRoundingMode A string from: 'ceil', 'round', 'floor'. If none is
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| 46 | * provided, it will default to truncate.
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| 47 | *
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| 48 | * @doc {heading: 'Operations', subheading: 'Convolution'}
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| 49 | */
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| 50 | declare function depthwiseConv2d_<T extends Tensor3D | Tensor4D>(x: T | TensorLike, filter: Tensor4D | TensorLike, strides: [number, number] | number, pad: 'valid' | 'same' | number | ExplicitPadding, dataFormat?: 'NHWC' | 'NCHW', dilations?: [number, number] | number, dimRoundingMode?: 'floor' | 'round' | 'ceil'): T;
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| 51 | export declare const depthwiseConv2d: typeof depthwiseConv2d_;
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| 52 | export {};
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