| /* |
| * Copyright (c) 2017-2018 ARM Limited. |
| * |
| * SPDX-License-Identifier: MIT |
| * |
| * Permission is hereby granted, free of charge, to any person obtaining a copy |
| * of this software and associated documentation files (the "Software"), to |
| * deal in the Software without restriction, including without limitation the |
| * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| * sell copies of the Software, and to permit persons to whom the Software is |
| * furnished to do so, subject to the following conditions: |
| * |
| * The above copyright notice and this permission notice shall be included in all |
| * copies or substantial portions of the Software. |
| * |
| * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| * SOFTWARE. |
| */ |
| #ifndef __ARM_COMPUTE_CLDECONVOLUTIONLAYER_H__ |
| #define __ARM_COMPUTE_CLDECONVOLUTIONLAYER_H__ |
| |
| #include "arm_compute/runtime/CL/functions/CLConvolutionLayer.h" |
| #include "arm_compute/runtime/CL/functions/CLDeconvolutionLayerUpsample.h" |
| |
| #include "arm_compute/runtime/CL/CLMemoryGroup.h" |
| #include "arm_compute/runtime/CL/CLTensor.h" |
| #include "arm_compute/runtime/IFunction.h" |
| #include "arm_compute/runtime/IMemoryManager.h" |
| |
| #include <memory> |
| |
| namespace arm_compute |
| { |
| class ICLTensor; |
| /** Function to run the deconvolution layer. |
| * |
| * Deconvolution Layer is the backward pass of Convolution Layer. First we transform the input depending on the stride and pad info and then perform a 1x1 |
| * convolution pass. Input stride defines how many zeroes we should put between each element of the input, pad is the amount of padding and finally a is a user |
| * specified value where a < stride - 1, that increases the padding top and right of the input image. |
| * |
| * The relation between input to output is as follows: |
| * width_output = round((width_input − 1) ∗ (stride_x - 1) − 2 ∗ padding_x + kernel_x + inner_border_right ) |
| * height_output = round((height_input − 1) ∗ (stride_y - 1) − 2 ∗ padding_y + kernel_y + inner_border_top ) |
| * |
| * where: |
| * width_input is the size of the first input dimension. |
| * height_input is the size of the second input dimension. |
| * width_output is the size of the first output dimension. |
| * height_output is the size of the second output dimension. |
| * kernel_x and kernel_y are the convolution sizes in x and y. |
| * inner_border_right and inner_border_top the number of zeros added to the right and top edges of the input. |
| * stride_x and stride_y is the input stride of the first and second dimension. |
| * |
| */ |
| class CLDeconvolutionLayer : public IFunction |
| { |
| public: |
| /** Constructor */ |
| CLDeconvolutionLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr); |
| /** Set the input, weights, biases and output tensors. |
| * |
| * @param[in,out] input Input tensor. 3 lower dimensions represent a single input, and an optional 4th dimension for batch of inputs. Data types supported: F32. |
| * @param[in] weights The 4d weights with dimensions [width, height, OFM, IFM]. Data type supported: Same as @p input. |
| * @param[in] bias (Optional) The biases have one dimension. Data type supported: Same as @p input. |
| * @param[out] output Output tensor. The output has the same number of dimensions as the @p input. |
| * @param[in] info Contains padding and policies to be used in the deconvolution, this is decribed in @ref PadStrideInfo. |
| * @param[in] inner_border_right The number of zeros added to right edge of the input. |
| * @param[in] inner_border_top The number of zeros added to top edge of the input. |
| * |
| */ |
| void configure(ICLTensor *input, const ICLTensor *weights, const ICLTensor *bias, ICLTensor *output, const PadStrideInfo &info, |
| unsigned int inner_border_right, unsigned int inner_border_top); |
| /** Static function to check if given info will lead to a valid configuration of @ref CLDeconvolutionLayer |
| * |
| * @param[in] input Input tensor info. 3 lower dimensions represent a single input, and an optional 4th dimension for batch of inputs. Data types supported: F32. |
| * @param[in] weights The 4d weights info with dimensions [width, height, OFM, IFM]. Data type supported: Same as @p input. |
| * @param[in] bias (Optional) The biases have one dimension. Data type supported: Same as @p input. |
| * @param[in] output Output tensor info. The output has the same number of dimensions as the @p input. |
| * @param[in] info Contains padding and policies to be used in the deconvolution, this is decribed in @ref PadStrideInfo. |
| * @param[in] inner_border_right The number of zeros added to right edge of the input. |
| * @param[in] inner_border_top The number of zeros added to top edge of the input. |
| * |
| * @return a status |
| */ |
| static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *bias, ITensorInfo *output, const PadStrideInfo &info, |
| unsigned int inner_border_right, unsigned int inner_border_top); |
| |
| // Inherited methods overridden: |
| void run() override; |
| |
| private: |
| CLMemoryGroup _memory_group; |
| CLDeconvolutionLayerUpsample _scale_f; |
| CLConvolutionLayer _conv_f; |
| CLTensor _scaled_output; |
| }; |
| } |
| #endif /* __ARM_COMPUTE_CLDECONVOLUTIONLAYER_H__ */ |