/// <amd-module name="@tensorflow/tfjs-core/dist/ops/conv3d_transpose" />
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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 { Tensor4D, Tensor5D } from '../tensor';
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import { TensorLike } from '../types';
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/**
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* Computes the transposed 3D convolution of a volume, also known as a
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* deconvolution.
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*
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* @param x The input image, of rank 5 or rank 4, of shape
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* `[batch, depth, height, width, inDepth]`. If rank 4, batch of 1 is assumed.
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* @param filter The filter, rank 4, of shape
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* `[depth, filterHeight, filterWidth, outDepth, inDepth]`.
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* `inDepth` must match `inDepth` in `x`.
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* @param outputShape Output shape, of rank 5 or rank 4:
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* `[batch, depth, height, width, outDepth]`. If rank 3, batch of 1 is
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* assumed.
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* @param strides The strides of the original convolution:
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* `[strideDepth, strideHeight, strideWidth]`.
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* @param pad The type of padding algorithm used in the non-transpose version
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* of the op.
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*
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* @doc {heading: 'Operations', subheading: 'Convolution'}
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*/
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declare function conv3dTranspose_<T extends Tensor4D | Tensor5D>(x: T | TensorLike, filter: Tensor5D | TensorLike, outputShape: [
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number,
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number,
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number,
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number,
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number
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] | [number, number, number, number], strides: [number, number, number] | number, pad: 'valid' | 'same'): T;
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export declare const conv3dTranspose: typeof conv3dTranspose_;
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export {};
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