| 1 | import { Tensor4D, Tensor5D } from '../tensor';
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| 2 | import { TensorLike } from '../types';
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| 3 | /**
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| 4 | * Computes a 3D convolution over the input x.
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| 5 | *
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| 6 | * @param x The input tensor, of rank 5 or rank 4, of shape
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| 7 | * `[batch, depth, height, width, channels]`. If rank 4,
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| 8 | * batch of 1 is assumed.
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| 9 | * @param filter The filter, rank 5, of shape
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| 10 | * `[filterDepth, filterHeight, filterWidth, inChannels, outChannels]`.
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| 11 | * inChannels must match between input and filter.
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| 12 | * @param strides The strides of the convolution: `[strideDepth, strideHeight,
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| 13 | * strideWidth]`.
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| 14 | * @param pad The type of padding algorithm.
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| 15 | * - `same` and stride 1: output will be of same size as input,
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| 16 | * regardless of filter size.
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| 17 | * - `valid`: output will be smaller than input if filter is larger
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| 18 | * than 1x1.
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| 19 | * - For more info, see this guide:
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| 20 | * [https://www.tensorflow.org/api_guides/python/nn#Convolution](
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| 21 | * https://www.tensorflow.org/api_guides/python/nn#Convolution)
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| 22 | * @param dataFormat: An optional string from: "NDHWC", "NCDHW". Defaults to
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| 23 | * "NDHWC". Specify the data format of the input and output data. With the
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| 24 | * default format "NDHWC", the data is stored in the order of: [batch,
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| 25 | * depth, height, width, channels]. Only "NDHWC" is currently supported.
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| 26 | * @param dilations The dilation rates: `[dilationDepth, dilationHeight,
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| 27 | * dilationWidth]` in which we sample input values across the height
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| 28 | * and width dimensions in atrous convolution. Defaults to `[1, 1, 1]`.
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| 29 | * If `dilations` is a single number, then
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| 30 | * `dilationDepth == dilationHeight == dilationWidth`. If it is greater
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| 31 | * than 1, then all values of `strides` must be 1.
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| 32 | *
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| 33 | * @doc {heading: 'Operations', subheading: 'Convolution'}
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| 34 | */
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| 35 | declare function conv3d_<T extends Tensor4D | Tensor5D>(x: T | TensorLike, filter: Tensor5D | TensorLike, strides: [number, number, number] | number, pad: 'valid' | 'same', dataFormat?: 'NDHWC' | 'NCDHW', dilations?: [number, number, number] | number): T;
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| 36 | export declare const conv3d: typeof conv3d_;
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| 37 | export {};
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