From f07d28d9ee8ae73a93fe433f72855b6dcf58ad90 Mon Sep 17 00:00:00 2001 From: Isabella Gottardi Date: Tue, 6 Feb 2018 14:52:43 +0000 Subject: COMPMID-845: Create a ConvolutionLayer for CL Change-Id: Ifcc406d2d0a99c911d6b6c875657b0e0028255d5 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/119148 Tested-by: Jenkins Reviewed-by: Anthony Barbier Reviewed-by: Georgios Pinitas --- .../runtime/CL/functions/CLGEMMConvolutionLayer.h | 153 +++++++++++++++++++++ 1 file changed, 153 insertions(+) create mode 100644 arm_compute/runtime/CL/functions/CLGEMMConvolutionLayer.h (limited to 'arm_compute/runtime/CL/functions/CLGEMMConvolutionLayer.h') diff --git a/arm_compute/runtime/CL/functions/CLGEMMConvolutionLayer.h b/arm_compute/runtime/CL/functions/CLGEMMConvolutionLayer.h new file mode 100644 index 0000000000..7126688f8b --- /dev/null +++ b/arm_compute/runtime/CL/functions/CLGEMMConvolutionLayer.h @@ -0,0 +1,153 @@ +/* + * 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_CLGEMMCONVOLUTIONLAYER_H__ +#define __ARM_COMPUTE_CLGEMMCONVOLUTIONLAYER_H__ + +#include "arm_compute/runtime/IFunction.h" + +#include "arm_compute/core/CL/kernels/CLCol2ImKernel.h" +#include "arm_compute/core/CL/kernels/CLFillBorderKernel.h" +#include "arm_compute/core/CL/kernels/CLGEMMInterleave4x4Kernel.h" +#include "arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyKernel.h" +#include "arm_compute/core/CL/kernels/CLGEMMTranspose1xWKernel.h" +#include "arm_compute/core/CL/kernels/CLIm2ColKernel.h" +#include "arm_compute/core/CL/kernels/CLWeightsReshapeKernel.h" +#include "arm_compute/core/Types.h" +#include "arm_compute/runtime/CL/CLMemoryGroup.h" +#include "arm_compute/runtime/CL/CLTensor.h" +#include "arm_compute/runtime/CL/functions/CLGEMM.h" +#include "arm_compute/runtime/CL/functions/CLGEMMLowpMatrixMultiplyCore.h" +#include "arm_compute/runtime/CL/functions/CLGEMMLowpOutputStage.h" +#include "arm_compute/runtime/IMemoryManager.h" + +#include + +namespace arm_compute +{ +class ICLTensor; + +/** Function to reshape and transpose the weights. This function calls the following kernels: + * -# @ref CLWeightsReshapeKernel + * -# @ref CLGEMMTranspose1xWKernel + */ +class CLConvolutionLayerReshapeWeights : public IFunction +{ +public: + /** Constructor */ + CLConvolutionLayerReshapeWeights(std::shared_ptr memory_manager = nullptr); + /** Set the input and output tensors. + * + * @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. + * Data type supported: QS8/QASYMM8/QS16/F16/F32. + * @param[in] biases Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as @p weights. + * @param[out] output Destination tensor. Data types supported: Same as @p weights. + * @param[in] transpose1xW True if the weights are to undergo a 1xW transposition after reshaping (in case of GEMM operation), false otherwise. + * Data types supported: Same as @p weights. + */ + void configure(const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, bool transpose1xW); + // Inherited methods overridden: + void run() override; + +private: + CLMemoryGroup _memory_group; + CLWeightsReshapeKernel _weights_reshape_kernel; + CLGEMMTranspose1xWKernel _weights_transposed_kernel; + CLTensor _weights_reshaped; + bool _transpose1xW; +}; + +/** Basic function to compute the convolution layer. This function calls the following OpenCL kernels/functions: + * + * Note: weights already reshaped for quantized asymmetric is not supported + * + * -# @ref CLIm2ColKernel + * -# @ref CLGEMMLowpMatrixMultiplyCore (if quantized asymmetric) + * -# @ref CLGEMMLowpQuantizeDownInt32ToUint8Scale (if quantized asymmetric) + * -# @ref CLCol2ImKernel + * + * if the weights are already reshaped: + * -# @ref CLGEMMInterleave4x4Kernel + * -# @ref CLGEMMMatrixMultiplyKernel + * else + * -# @ref CLGEMM + */ +class CLGEMMConvolutionLayer : public IFunction +{ +public: + /** Default constructor */ + CLGEMMConvolutionLayer(std::shared_ptr memory_manager = nullptr); + /** Set the input and output tensors. + * + * @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: QS8/QASYMM8/QS16/F16/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: Should match @p input data type, except for input of QASYMM8 type where biases should be of S32 type. + * @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. + * @param[in] weights_info Specifies if the weights tensor has been reshaped with CLWeightsReshapeKernel. If this is not part of the fully connected layer the weights + * tensor has also been transposed with CLGEMMTranspose1xWKernel. Data type supported: Same as @p input. + */ + void configure(const ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info, const WeightsInfo &weights_info = WeightsInfo()); + + // Inherited methods overridden: + void run() override; + +private: + /** Configures the appropriate matrix multiply routine + * + * @param input Input tensor. Data types supported: QS8/QASYMM8/QS16/F16/F32. + * @param weights Weights tensor. Data type supported: Same as @p input. + * @param output Output tensor. Data types supported: Same as @p input, + * except for input of QASYMM8 type where output should be of S32 type. + * @param is_interleaved_transposed Flag that signals if matrix is interleaved transposed + */ + void configure_mm(const ICLTensor *input, const ICLTensor *weights, ICLTensor *output, bool is_interleaved_transposed, bool are_weights_reshaped); + +private: + CLMemoryGroup _memory_group; + CLConvolutionLayerReshapeWeights _reshape_weights; + CLIm2ColKernel _im2col_kernel; + CLGEMMInterleave4x4Kernel _interleave_kernel; + CLGEMMMatrixMultiplyKernel _mm_kernel; + CLGEMM _mm_gemm; + CLGEMMLowpMatrixMultiplyCore _mm_gemmlowp; + CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint _gemmlowp_output_stage; + CLCol2ImKernel _col2im_kernel; + + CLTensor _im2col_output; + CLTensor _interleave_output; + CLTensor _weights_reshaped; + CLTensor _weights_transposed; + CLTensor _gemm_output; + CLTensor _tmp_output; + + bool _are_weights_reshaped; + bool _is_quantized; + bool _is_interleaved_transposed; +}; +} +#endif /* __ARM_COMPUTE_CLGEMMCONVOLUTIONLAYER_H__ */ -- cgit v1.2.1