/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ import { Tensor3D, Tensor4D } from '../tensor'; import { TensorLike } from '../types'; /** * Computes the transposed 2D convolution of an image, also known as a * deconvolution. * * @param x The input image, of rank 4 or rank 3, of shape * `[batch, height, width, inDepth]`. If rank 3, batch of 1 is assumed. * @param filter The filter, rank 4, of shape * `[filterHeight, filterWidth, outDepth, inDepth]`. * `inDepth` must match `inDepth` in `x`. * @param outputShape Output shape, of rank 4 or rank 3: * `[batch, height, width, outDepth]`. If rank 3, batch of 1 is assumed. * @param strides The strides of the original convolution: * `[strideHeight, strideWidth]`. * @param pad The type of padding algorithm used in the non-transpose version * of the op. * @param dimRoundingMode A string from: 'ceil', 'round', 'floor'. If none is * provided, it will default to truncate. * * @doc {heading: 'Operations', subheading: 'Convolution'} */ declare function conv2dTranspose_(x: T | TensorLike, filter: Tensor4D | TensorLike, outputShape: [number, number, number, number] | [number, number, number], strides: [number, number] | number, pad: 'valid' | 'same' | number, dimRoundingMode?: 'floor' | 'round' | 'ceil'): T; export declare const conv2dTranspose: typeof conv2dTranspose_; export {};