From f5f34bb068565bf9435ba5561aae1c9280db8bbe Mon Sep 17 00:00:00 2001 From: Pablo Tello Date: Tue, 22 Aug 2017 13:34:13 +0100 Subject: COMPMID-470: Neon Deconvolution. Implemented by up-sampling the input with zeros insertions between the input samples and convolving the Deconvolution kernels on the up-sampled result. The upsampling is performed by the function NEDeconvolutionLayerUpsample. Convolving is done by NEDirectConvolutionLayer. Change-Id: I25f7ba7c6b99cd9310797972ede40aeff4a54900 Reviewed-on: http://mpd-gerrit.cambridge.arm.com/85319 Tested-by: Kaizen Reviewed-by: Anthony Barbier --- .../runtime/NEON/functions/NEDeconvolutionLayer.h | 96 ++++++++++++++++++++++ 1 file changed, 96 insertions(+) create mode 100644 arm_compute/runtime/NEON/functions/NEDeconvolutionLayer.h (limited to 'arm_compute/runtime/NEON/functions/NEDeconvolutionLayer.h') diff --git a/arm_compute/runtime/NEON/functions/NEDeconvolutionLayer.h b/arm_compute/runtime/NEON/functions/NEDeconvolutionLayer.h new file mode 100644 index 0000000000..3433e77ba1 --- /dev/null +++ b/arm_compute/runtime/NEON/functions/NEDeconvolutionLayer.h @@ -0,0 +1,96 @@ +/* + * 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 + +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 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__ */ -- cgit v1.2.1