From 19884630c37ae9de2f65a88ea2cda5630a551bad Mon Sep 17 00:00:00 2001 From: Georgios Pinitas Date: Mon, 16 Aug 2021 12:38:54 +0100 Subject: Rename [Cl|Cpu]GemmConvolution to [Cl|Gpu]GemmConv2d Renaming the gemm-based convolution operators to accomodate for new operators with higher convolution dimensonality Signed-off-by: Georgios Pinitas Change-Id: Id2f2cf11404221f0e87baa0e5d08ad5d63eaf78e Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6113 Tested-by: Arm Jenkins Comments-Addressed: Arm Jenkins --- src/runtime/gpu/cl/operators/ClGemmConv2d.h | 185 ++++++++++++++++++++++++++++ 1 file changed, 185 insertions(+) create mode 100644 src/runtime/gpu/cl/operators/ClGemmConv2d.h (limited to 'src/runtime/gpu/cl/operators/ClGemmConv2d.h') diff --git a/src/runtime/gpu/cl/operators/ClGemmConv2d.h b/src/runtime/gpu/cl/operators/ClGemmConv2d.h new file mode 100644 index 0000000000..e16d029e71 --- /dev/null +++ b/src/runtime/gpu/cl/operators/ClGemmConv2d.h @@ -0,0 +1,185 @@ +/* + * Copyright (c) 2021 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_CL_GEMM_CONV2D_H +#define ARM_COMPUTE_CL_GEMM_CONV2D_H + +#include "arm_compute/core/TensorInfo.h" +#include "arm_compute/core/Types.h" +#include "arm_compute/runtime/FunctionDescriptors.h" +#include "src/core/gpu/cl/ClCompileContext.h" +#include "src/runtime/gpu/cl/IClOperator.h" + +#include + +namespace arm_compute +{ +namespace opencl +{ +class ClGemm; +class ClGemmLowpMatrixMultiplyCore; +namespace kernels +{ +class ClIm2ColKernel; +class ClCol2ImKernel; +class ClWeightsReshapeKernel; +class ClActivationKernel; +} // namespace kernels + +/** Basic function to compute the convolution layer. This function calls the following OpenCL kernels/functions: + * + * -# @ref opencl::kernels::ClIm2ColKernel + * -# @ref ClGemm (if the data type is FP32 or FP16) + * -# @ref CLGEMMLowpMatrixMultiplyCore (if the data type is QASYMM8/QASYMM8_SIGNED) + * -# @ref ClGemmLowpOutputStage with QUANTIZE_DOWN_FIXEDPOINT type of quantization (if the data type is QASYMM8/QASYMM8_SIGNED) + * -# @ref opencl::kernels::ClCol2ImKernel (if NCHW data layout) + * -# @ref opencl::kernels::ClActivationKernel + */ +class ClGemmConv2d : public IClOperator +{ +public: + /** Constructor */ + ClGemmConv2d(); + /** Prevent instances of this class from being copied (As this class contains pointers) */ + ClGemmConv2d(const ClGemmConv2d &) = delete; + /** Default move constructor */ + ClGemmConv2d(ClGemmConv2d &&) = default; + /** Prevent instances of this class from being copied (As this class contains pointers) */ + ClGemmConv2d &operator=(const ClGemmConv2d &) = delete; + /** Default move assignment operator */ + ClGemmConv2d &operator=(ClGemmConv2d &&) = default; + /**Default destructor */ + ~ClGemmConv2d(); + /** Set the input and output tensors. + * + * Valid data layouts: + * - NHWC + * - NCHW + * + * Valid data type configurations: + * |src0 |src1 |src2 |dst | + * |:--------------|:------------------|:--------|:--------------| + * |F16 |F16 |F16 |F16 | + * |F32 |F32 |F32 |F32 | + * |QASYMM8 |QASYMM8 |S32 |QASYMM8 | + * |QASYMM8 |QSYMM8_PER_CHANNEL |S32 |QASYMM8 | + * |QASYMM8_SIGNED |QASYMM8_SIGNED |S32 |QASYMM8_SIGNED | + * |QASYMM8_SIGNED |QSYMM8_PER_CHANNEL |S32 |QASYMM8_SIGNED | + * + * @param[in] compile_context The compile context to be used. + * @param[in] src Source tensor info. 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: QASYMM8/QASYMM8_SIGNED/F16/F32. + * @param[in] weights Weights tensor info. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. + * Data type supported: Same as @p input or QASYMM8/QSYMM8_PER_CHANNEL when @p input is QASYMM8 or QASYMM8_SIGNED/QSYMM8_PER_CHANNEL when @p input is QASYMM8_SIGNED. + * @param[in] biases Biases tensor info. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. + * Data type supported: Should match @p input data type, except for input of quantized type where biases should be of S32 type. + * @param[out] dst Destination tensor info. 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] conv2d_info Contains convolution 2d info described in @ref Conv2dInfo. + * @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 CLGEMMReshapeRHSMatrixKernel. Data type supported: Same as @p input. + */ + void configure(const ClCompileContext &compile_context, ITensorInfo *src, ITensorInfo *weights, ITensorInfo *biases, ITensorInfo *dst, const Conv2dInfo &conv2d_info, + const WeightsInfo &weights_info = WeightsInfo()); + /** Static function to check if given info will lead to a valid configuration + * + * Similar to ClGemmConvolution::configure() + * + * @return a status + */ + static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const Conv2dInfo &conv2d_info, + const WeightsInfo &weights_info = WeightsInfo()); + + // Inherited methods overridden: + void run(ITensorPack &tensors) override; + void prepare(ITensorPack &constants) override; + experimental::MemoryRequirements workspace() const override; + +private: + /** Configures the appropriate matrix multiply routine + * + * @param[in] compile_context The compile context to be used. + * @param[in] src Input tensor info. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32. + * @param[in] weights Weights tensor info. Data type supported: Same as @p input or QASYMM8/QSYMM8_PER_CHANNEL when @p input is QASYMM8 or + * QASYMM8_SIGNED/QSYMM8_PER_CHANNEL when @p input is QASYMM8_SIGNED. + * @param[in] biases Biases tensor info. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. + * Data type supported: Should match @p input data type, except for input of quantized type where biases should be of S32 type. + * @param[in, out] dst Output tensor info. Data types supported: same as @p input. + * @param[in] gemmlowp_output_stage GEMMLowp output stage info + * @param[in] gemm_3d_depth Depth of GEMM 3D + * @param[in] act_info Activation to apply after the matrix multiplication + */ + void configure_mm(const CLCompileContext &compile_context, const ITensorInfo *src, ITensorInfo *weights, ITensorInfo *biases, ITensorInfo *dst, + const GEMMLowpOutputStageInfo &gemmlowp_output_stage, + int gemm_3d_depth, const ActivationLayerInfo &act_info); + /** Static function to check if given info will lead to a valid configuration of @ref CLGEMMConvolutionLayer matrix multiply routines + * + * @param[in] src Input tensor info. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32. + * @param[in] weights Weights tensor info. Data type supported: Same as @p input or QASYMM8/QSYMM8_PER_CHANNEL when @p input is QASYMM8 or + * QASYMM8_SIGNED/QSYMM8_PER_CHANNEL when @p input is QASYMM8_SIGNED. + * @param[in] biases Biases tensor info. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. + * Data type supported: Should match @p input data type, except for input of quantized type where biases should be of S32 type. + * @param[in] dst Output tensor info. Data types supported: same as @p input. + * @param[in] gemmlowp_output_stage GEMMLowp output stage info + * @param[in] gemm_3d_depth Depth of GEMM 3D + * @param[in] skip_im2col Flag which specifies if im2col has to be skipped. i.e. 1x1 convolution with NHWC data layout. + * @param[in] act_info Activation to apply after the matrix multiplication + * + * @return a status + */ + static Status validate_mm(const ITensorInfo *src, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *dst, const GEMMLowpOutputStageInfo &gemmlowp_output_stage, + int gemm_3d_depth, bool skip_im2col, const ActivationLayerInfo &act_info); + + enum AuxTensorIdx + { + // ClGemmLowpMatrixMultiplyCore has up to 7 internal tensors + Im2ColOutput = 8, + WeightsReshaped, + GemmOutput, + Count + }; + + std::unique_ptr _weights_reshape_kernel; + std::unique_ptr _im2col_kernel; + std::unique_ptr _mm_gemm; + std::unique_ptr _mm_gemmlowp; + std::unique_ptr _col2im_kernel; + std::unique_ptr _activation_kernel; + + TensorInfo _im2col_output; + TensorInfo _weights_reshaped; + TensorInfo _gemm_output; + + bool _skip_im2col; + bool _skip_col2im; + bool _is_quantized; + bool _fuse_activation; + bool _append_bias; + bool _is_prepared; + + experimental::MemoryRequirements _aux_mem; +}; +} // namespace opencl +} // namespace arm_compute +#endif /* ARM_COMPUTE_CL_GEMM_CONV2D_H */ -- cgit v1.2.1