From 7891a73ef36f4ad7b71069b3c57694f85bb79454 Mon Sep 17 00:00:00 2001 From: Georgios Pinitas Date: Fri, 20 Aug 2021 21:39:25 +0100 Subject: Move CPU/GPU files from Core/Runtime to the respective backend folders Legacy structure contained two libraries core/runtime with two backends in each. We reduce the core/runtime libraries to a single library thus merging the backend files Signed-off-by: Georgios Pinitas Change-Id: I69545765fe7a730368105cdbd067d3135ec7a174 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6155 Comments-Addressed: Arm Jenkins Reviewed-by: Michele Di Giorgio Tested-by: Arm Jenkins --- src/cpu/kernels/CpuGemmLowpMatrixReductionKernel.h | 157 +++++++++++++++++++++ 1 file changed, 157 insertions(+) create mode 100644 src/cpu/kernels/CpuGemmLowpMatrixReductionKernel.h (limited to 'src/cpu/kernels/CpuGemmLowpMatrixReductionKernel.h') diff --git a/src/cpu/kernels/CpuGemmLowpMatrixReductionKernel.h b/src/cpu/kernels/CpuGemmLowpMatrixReductionKernel.h new file mode 100644 index 0000000000..918f8c89d9 --- /dev/null +++ b/src/cpu/kernels/CpuGemmLowpMatrixReductionKernel.h @@ -0,0 +1,157 @@ +/* + * Copyright (c) 2017-2021 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_CPU_GEMMLOWP_REDUCTION_KERNEL_H +#define ARM_COMPUTE_CPU_GEMMLOWP_REDUCTION_KERNEL_H + +#include "src/core/common/Macros.h" +#include "src/cpu/ICpuKernel.h" + +namespace arm_compute +{ +// Forward declarations +struct GEMMLowpReductionKernelInfo; +namespace cpu +{ +namespace kernels +{ +/** Kernel used to compute the row-vectors of sums of all the entries in each row of Matrix A. + * + * @note This stage is needed to handle the offset of matrix product + * https://github.com/google/gemmlowp/blob/master/doc/low-precision.md + */ +class CpuGemmLowpMatrixAReductionKernel : public ICpuKernel +{ +public: + /** Default constructor */ + CpuGemmLowpMatrixAReductionKernel() = default; + ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(CpuGemmLowpMatrixAReductionKernel); + /** Initialise the kernel's input and output. + * + * @param[in] src Input tensor. Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8/QSYMM8_PER_CHANNEL + * @param[out] dst Output row-vector of sums of all the entries in each row of mtx_a. Data type supported: S32 + * @param[in] info Kernel metadata: + * - k (num_mtx_a_cols) Number of matrix A columns + * - is_reshaped (is_interleaved4x4) True if the matrix A has been interleaved4x4 + * - scalar Scalar value to multiply each reduced row by. + * - mul_byscalar True if each reduced column must be multiplied by a scalar value. + */ + void configure(const ITensorInfo *src, ITensorInfo *dst, const GEMMLowpReductionKernelInfo &info); + /** Static function to check if given info will lead to a valid configuration + * + * Similar to CpuGemmLowpMatrixAReductionKernel::configure() + * + * @return a status + */ + static Status validate(const ITensorInfo *src, const ITensorInfo *dst, const GEMMLowpReductionKernelInfo &info); + + // Inherited methods overridden: + void run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) override; + const char *name() const override; + +private: + /** Execution of the reduction kernel specialized on the input type + * + * @param[in] src Input tensor + * @param[in] dst Output tensor + * @param[in] window Execution window + */ + template + void run_internal(const ITensor *src, ITensor *dst, const Window &window); + + /** Common signature for all reduction functions + * + * @param[in] src Input tensor + * @param[out] dst Output tensor + * @param[in] window Region on which to execute the kernel. (Must be a valid region of the window returned by window()). + */ + using CpuGemmLowpMatrixAReductionKernelPtr = void (CpuGemmLowpMatrixAReductionKernel::*)(const ITensor *src, ITensor *dst, const Window &window); + + CpuGemmLowpMatrixAReductionKernelPtr _func{ nullptr }; + int32_t _k{ 0 }; + int32_t _scalar{ 0 }; + bool _mul_by_scalar{ false }; +}; + +/** Kernel used to compute the row-vectors of sums of all the entries in each column of Matrix B. + * + * @note This stage is needed to handle the offset of matrix product + * https://github.com/google/gemmlowp/blob/master/doc/low-precision.md + */ +class CpuGemmLowpMatrixBReductionKernel : public ICpuKernel +{ +public: + /** Default constructor */ + CpuGemmLowpMatrixBReductionKernel() = default; + ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(CpuGemmLowpMatrixBReductionKernel); + /** Initialise the kernel's input and output. + * + * @param[in] src Input tensor. Data type supported: Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8/QSYMM8_PER_CHANNEL + * @param[out] dst Output row-vector of sums of all the entries in each column of mtx_b. Data type supported: S32 + * @param[in] info Kernel metadata: + * - k (num_mtx_b_rows) Number of matrix B rows. + * - is_reshaped (is_transposed1xW) True if the input tensor is transposed 1xW. + * - scalar Scalar value to multiply each reduced row by. + * - mul_byscalar True if each reduced row must be multiplied by a scalar value. + */ + void configure(const ITensorInfo *src, ITensorInfo *dst, const GEMMLowpReductionKernelInfo &info); + /** Static function to check if given info will lead to a valid configuration + * + * Similar to CpuGemmLowpMatrixBReductionKernel::configure() + * + * @return a status + */ + static Status validate(const ITensorInfo *src, const ITensorInfo *dst, const GEMMLowpReductionKernelInfo &info); + + // Inherited methods overridden: + void run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) override; + const char *name() const override; + +private: + /** Execution of the reduction kernel specialized on the input type + * + * @param[in] src Input tensor + * @param[in] dst Output tensor + * @param[in] window Execution window + * @param[in] info Thread-related information + */ + template + void run_internal(const ITensor *src, ITensor *dst, const Window &window, const ThreadInfo &info); + + /** Common signature for all reduction functions + * + * @param[in] src Input tensor + * @param[out] dst Output tensor + * @param[in] window Region on which to execute the kernel. (Must be a valid region of the window returned by window()). + */ + using CpuGemmLowpMatrixBReductionKernelPtr = void (CpuGemmLowpMatrixBReductionKernel::*)(const ITensor *src, ITensor *dst, const Window &window, const ThreadInfo &info); + + CpuGemmLowpMatrixBReductionKernelPtr _func{ nullptr }; + int32_t _k{ 0 }; + int32_t _scalar{ 0 }; + bool _mul_by_scalar{ false }; +}; +} // namespace kernels +} // namespace cpu +} // namespace arm_compute +#endif /* ARM_COMPUTE_CPU_GEMMLOWP_REDUCTION_KERNEL_H */ -- cgit v1.2.1