| /* |
| * Copyright (c) 2017 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_NEDECONVOLUTIONLAYER_H__ |
| #define __ARM_COMPUTE_NEDECONVOLUTIONLAYER_H__ |
| |
| #include "arm_compute/runtime/NEON/functions/NEDeconvolutionLayerUpsample.h" |
| #include "arm_compute/runtime/NEON/functions/NEDirectConvolutionLayer.h" |
| |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/runtime/IFunction.h" |
| #include "arm_compute/runtime/IMemoryManager.h" |
| #include "arm_compute/runtime/MemoryGroup.h" |
| #include "arm_compute/runtime/Tensor.h" |
| |
| #include <memory> |
| |
| namespace arm_compute |
| { |
| /** Function to run the deconvolution layer. |
| * |
| * The operation is similar to convolution but it's implemented by up-sampling the inputs with zeros insertions between the inputs and convolving |
| * the kernels on the up-sampled result. |
| * |
| * Before the Deconvolution is done, up-scaling the first 2D with zeros is performed. The relation between input to |
| * output is as follows: |
| * width_output = round((width_input − 1) ∗ upscale_x − 2 ∗ padding_x + kernel_x + a_x ) |
| * height_output = round((height_input − 1) ∗ upscale_y − 2 ∗ padding_y + kernel_y + a_y ) |
| * |
| * where |
| * width is the size of the first input dimension. |
| * height 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. |
| * ax and ay the number of zeros added to the top and right edges of the input. |
| * upscale_x and upscale_y how much to scale the X and Y axis. |
| * |
| * This function calls the following NEON kernels: |
| * |
| * -# @ref NEDeconvolutionLayerUpsampleKernel |
| * -# @ref NEDirectConvolutionLayer |
| * |
| */ |
| class NEDeconvolutionLayer : public IFunction |
| { |
| public: |
| /** Constructor */ |
| NEDeconvolutionLayer(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, ignored if NULL. 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] ax The number of zeros added to right edge of the input. |
| * @param[in] ay The number of zeros added to top edge of the input. |
| * @param[in] upscalex How much to scale the X axis. |
| * @param[in] upscaley How much to scale the Y axis. |
| * |
| */ |
| void configure(ITensor *input, const ITensor *weights, const ITensor *bias, ITensor *output, const PadStrideInfo &info, |
| unsigned int ax, unsigned int ay, float upscalex, float upscaley); |
| |
| // Inherited methods overridden: |
| void run() override; |
| |
| private: |
| MemoryGroup _memory_group; |
| NEDeconvolutionLayerUpsample _scale_f; |
| NEDirectConvolutionLayer _conv_f; |
| Tensor _scaled_output; |
| }; |
| } // arm_compute |
| #endif /* __ARM_COMPUTE_NEDECONVOLUTIONLAYER_H__ */ |