From d2fab7315bac3a586f2f1b1c8d64f2441f89ca64 Mon Sep 17 00:00:00 2001 From: Gian Marco Iodice Date: Fri, 2 Mar 2018 11:18:12 +0000 Subject: COMPMID-935 - Implementing Convolution with Winograd on OpenCL (part 4) Implemented Winograd Output Transform (2x2,3x3) on OpenCL Implemented CLWinogradConvolutionLayer on OpenCL Change-Id: I6a113fc5f052ca07f878d2b800d2ab003f84af65 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/125148 Reviewed-by: Georgios Pinitas Tested-by: Jenkins --- .../CL/functions/CLWinogradConvolutionLayer.h | 97 ++++++++++++++++++++++ 1 file changed, 97 insertions(+) create mode 100644 arm_compute/runtime/CL/functions/CLWinogradConvolutionLayer.h (limited to 'arm_compute/runtime/CL/functions/CLWinogradConvolutionLayer.h') diff --git a/arm_compute/runtime/CL/functions/CLWinogradConvolutionLayer.h b/arm_compute/runtime/CL/functions/CLWinogradConvolutionLayer.h new file mode 100644 index 0000000000..14de169236 --- /dev/null +++ b/arm_compute/runtime/CL/functions/CLWinogradConvolutionLayer.h @@ -0,0 +1,97 @@ +/* + * Copyright (c) 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_CLWINOGRADCONVOLUTIONLAYER_H__ +#define __ARM_COMPUTE_CLWINOGRADCONVOLUTIONLAYER_H__ + +#include "arm_compute/core/CL/kernels/CLWinogradFilterTransformKernel.h" +#include "arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h" +#include "arm_compute/core/Types.h" +#include "arm_compute/runtime/CL/functions/CLGEMM.h" +#include "arm_compute/runtime/CL/functions/CLWinogradInputTransform.h" +#include "arm_compute/runtime/IFunction.h" + +namespace arm_compute +{ +class ICLTensor; + +/** Basic function to execute Winograd-based convolution on OpenCL. This function calls the following OpenCL functions/kernels: + * + * -# @ref CLWinogradInputTransform + * -# @ref CLWinogradFilterTransformKernel (only once) + * -# @ref CLGEMM + * -# @ref CLWinogradOutputTransformKernel + * + */ +class CLWinogradConvolutionLayer : public IFunction +{ +public: + /** Default constructor */ + CLWinogradConvolutionLayer(std::shared_ptr memory_manager = nullptr); + /** Set the input and output tensors. + * + * @note: This function only works with 3x3 kernels and unit strides + * + * @param[in] input Source tensor. 3 lower dimensions represent a single input [width, height, IFM], + * while every optional dimension from 4 and above represent a batch of inputs. + * Data types supported: F32. + * @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. Data type supported:Same as @p input. + * @param[in] biases Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM].Data type supported: Same as @p input + * @param[out] output Destination tensor. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs. + * Data types supported: Same as @p input. + * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo. + */ + void configure(ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info); + /** Static function to check if given info will lead to a valid configuration of @ref CLWinogradConvolutionLayer + * + * @note: This function only works with 3x3 kernels and unit strides + * + * @param[in] input Source tensor. 3 lower dimensions represent a single input [width, height, IFM], + * while every optional dimension from 4 and above represent a batch of inputs. + * Data types supported: F32. + * @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. Data type supported:Same as @p input. + * @param[in] biases Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM].Data type supported: Same as @p input + * @param[out] output Destination tensor. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs. + * Data types supported: Same as @p input. + * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo. + * + * @return a status + */ + static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info); + + // Inherited methods overridden: + void run() override; + +private: + CLMemoryGroup _memory_group; + CLGEMM _batched_mm; + CLWinogradInputTransform _input_transform; + CLWinogradFilterTransformKernel _filter_transform; + CLWinogradOutputTransformKernel _output_transform; + CLTensor _input0; + CLTensor _input1; + CLTensor _batched_mm_output; + bool _is_first_run; +}; +} +#endif /* __ARM_COMPUTE_CLWINOGRADCONVOLUTIONLAYER_H__ */ -- cgit v1.2.1