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Diffstat (limited to 'src/core/CL/kernels/CLGEMMLowpReductionKernel.h')
| -rw-r--r-- | src/core/CL/kernels/CLGEMMLowpReductionKernel.h | 176 |
1 files changed, 0 insertions, 176 deletions
diff --git a/src/core/CL/kernels/CLGEMMLowpReductionKernel.h b/src/core/CL/kernels/CLGEMMLowpReductionKernel.h deleted file mode 100644 index 237d8099b7..0000000000 --- a/src/core/CL/kernels/CLGEMMLowpReductionKernel.h +++ /dev/null @@ -1,176 +0,0 @@ -/* - * Copyright (c) 2017-2020 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_CLGEMMLOWREDUCTIONKERNEL_H -#define ARM_COMPUTE_CLGEMMLOWREDUCTIONKERNEL_H - -#include "src/core/CL/ICLKernel.h" - -namespace arm_compute -{ -class ICLTensor; -struct GEMMLowpReductionKernelInfo; - -/** Common interface for all OpenCL reduction kernels */ -class ICLGEMMLowpReductionKernel : public ICLKernel -{ -public: - /** Constructor */ - ICLGEMMLowpReductionKernel(); - /** Prevent instances of this class from being copied (As this class contains pointers)*/ - ICLGEMMLowpReductionKernel(const ICLGEMMLowpReductionKernel &) = delete; - /** Prevent instances of this class from being copied (As this class contains pointers)*/ - ICLGEMMLowpReductionKernel &operator=(const ICLGEMMLowpReductionKernel &) = delete; - /** Allow instances of this class to be moved */ - ICLGEMMLowpReductionKernel(ICLGEMMLowpReductionKernel &&) = default; - /** Allow instances of this class to be moved */ - ICLGEMMLowpReductionKernel &operator=(ICLGEMMLowpReductionKernel &&) = default; - - /** Initialise the kernel's input and output. - * - * @param[in] input Input tensor. Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8. - * @param[out] output Output row-vector of sums of all the entries in each row/col of input tensor. Data type supported: S32 - * @param[in] info Kernel metadata: - * - k Number of matrix columns/rows depending on the type of reduction. - * - is_reshaped True if the matrix has been reshaped. - * - scalar Scalar value to multiply each reduced column/row by. - * - mul_byscalar True if each reduced column/row must be multiplied by a scalar value. - */ - virtual void configure(const ICLTensor *input, ICLTensor *output, const GEMMLowpReductionKernelInfo &info) = 0; - /** Initialise the kernel's input and output. - * - * @param[in] compile_context The compile context to be used. - * @param[in] input Input tensor. Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8. - * @param[out] output Output row-vector of sums of all the entries in each row/col of input tensor. Data type supported: S32 - * @param[in] info Kernel metadata: - * - k Number of matrix columns/rows depending on the type of reduction. - * - is_reshaped True if the matrix has been reshaped. - * - scalar Scalar value to multiply each reduced column/row by. - * - mul_byscalar True if each reduced column/row must be multiplied by a scalar value. - */ - virtual void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const GEMMLowpReductionKernelInfo &info) = 0; - -protected: - const ICLTensor *_input; - ICLTensor *_output; -}; - -/** OpenCL 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 CLGEMMLowpMatrixAReductionKernel : public ICLGEMMLowpReductionKernel -{ -public: - /** Initialise the kernel's input and output. - * - * @param[in] mtx_a Input tensor. Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8. - * @param[out] vector_sum_row 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 Number of matrix columns/rows depending on the type of reduction. - * - is_reshaped True if the matrix has been reshaped. - * - scalar Scalar value to multiply each reduced column/row by. - * - mul_byscalar True if each reduced column/row must be multiplied by a scalar value. - */ - void configure(const ICLTensor *mtx_a, ICLTensor *vector_sum_row, const GEMMLowpReductionKernelInfo &info) override; - /** Initialise the kernel's input and output. - * - * @param[in] compile_context The compile context to be used. - * @param[in] mtx_a Input tensor. Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8. - * @param[out] vector_sum_row 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 Number of matrix columns/rows depending on the type of reduction. - * - is_reshaped True if the matrix has been reshaped. - * - scalar Scalar value to multiply each reduced column/row by. - * - mul_byscalar True if each reduced column/row must be multiplied by a scalar value. - */ - void configure(const CLCompileContext &compile_context, const ICLTensor *mtx_a, ICLTensor *vector_sum_row, const GEMMLowpReductionKernelInfo &info) override; - /** Static function to check if given info will lead to a valid configuration of @ref CLGEMMLowpMatrixAReductionKernel - * - * @param[in] mtx_a Input tensor. Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8. - * @param[in] vector_sum_row 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 Number of matrix columns/rows depending on the type of reduction. - * - is_reshaped True if the matrix has been reshaped. - * - scalar Scalar value to multiply each reduced column/row by. - * - mul_byscalar True if each reduced column/row must be multiplied by a scalar value. - * - * @return a status - */ - static Status validate(const ITensorInfo *mtx_a, const ITensorInfo *vector_sum_row, const GEMMLowpReductionKernelInfo &info); - - // Inherited methods overridden: - void run(const Window &window, cl::CommandQueue &queue) override; -}; - -/** OpenCL 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 CLGEMMLowpMatrixBReductionKernel : public ICLGEMMLowpReductionKernel -{ -public: - /** Initialise the kernel's input and output. - * - * @param[in] mtx_b Input tensor. Data type supported: Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8/QSYMM8_PER_CHANNEL. - * @param[out] vector_sum_col 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 Number of matrix columns/rows depending on the type of reduction. - * - is_reshaped True if the matrix has been reshaped. - * - scalar Scalar value to multiply each reduced column/row by. - * - mul_byscalar True if each reduced column/row must be multiplied by a scalar value. - */ - void configure(const ICLTensor *mtx_b, ICLTensor *vector_sum_col, const GEMMLowpReductionKernelInfo &info) override; - /** Initialise the kernel's input and output. - * - * @param[in] compile_context The compile context to be used. - * @param[in] mtx_b Input tensor. Data type supported: Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8/QSYMM8_PER_CHANNEL. - * @param[out] vector_sum_col 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 Number of matrix columns/rows depending on the type of reduction. - * - is_reshaped True if the matrix has been reshaped. - * - scalar Scalar value to multiply each reduced column/row by. - * - mul_byscalar True if each reduced column/row must be multiplied by a scalar value. - */ - void configure(const CLCompileContext &compile_context, const ICLTensor *mtx_b, ICLTensor *vector_sum_col, const GEMMLowpReductionKernelInfo &info) override; - /** Static function to check if given info will lead to a valid configuration of @ref CLGEMMLowpMatrixBReductionKernel - * - * @param[in] mtx_b Input tensor. Data type supported: Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8/QSYMM8_PER_CHANNEL. - * @param[in] vector_sum_col 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 Number of matrix columns/rows depending on the type of reduction. - * - is_reshaped True if the matrix has been reshaped. - * - scalar Scalar value to multiply each reduced column/row by. - * - mul_byscalar True if each reduced column/row must be multiplied by a scalar value. - * - * @return a status - */ - static Status validate(const ITensorInfo *mtx_b, const ITensorInfo *vector_sum_col, const GEMMLowpReductionKernelInfo &info); - - // Inherited methods overridden: - void run(const Window &window, cl::CommandQueue &queue) override; -}; -} // namespace arm_compute -#endif /* ARM_COMPUTE_CLGEMMLOWREDUCTIONKERNEL_H */ |