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Diffstat (limited to 'src/core/NEON/kernels/NEGEMMLowpReductionKernel.h')
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1 files changed, 196 insertions, 0 deletions
diff --git a/src/core/NEON/kernels/NEGEMMLowpReductionKernel.h b/src/core/NEON/kernels/NEGEMMLowpReductionKernel.h new file mode 100644 index 0000000000..655658cb6c --- /dev/null +++ b/src/core/NEON/kernels/NEGEMMLowpReductionKernel.h @@ -0,0 +1,196 @@ +/* + * 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_NEGEMMLOWREDUCTIONKERNEL_H +#define ARM_COMPUTE_NEGEMMLOWREDUCTIONKERNEL_H + +#include "src/core/NEON/INEKernel.h" + +namespace arm_compute +{ +// Forward declarations +class ITensor; +struct GEMMLowpReductionKernelInfo; + +/** Common interface for all NEON reduction kernels */ +class INEGEMMLowpReductionKernel : public INEKernel +{ +public: + /** Constructor */ + INEGEMMLowpReductionKernel(); + /** Prevent instances of this class from being copied (As this class contains pointers)*/ + INEGEMMLowpReductionKernel(const INEGEMMLowpReductionKernel &) = delete; + /** Prevent instances of this class from being copied (As this class contains pointers)*/ + INEGEMMLowpReductionKernel &operator=(const INEGEMMLowpReductionKernel &) = delete; + /** Allow instances of this class to be moved */ + INEGEMMLowpReductionKernel(INEGEMMLowpReductionKernel &&) = default; + /** Allow instances of this class to be moved */ + INEGEMMLowpReductionKernel &operator=(INEGEMMLowpReductionKernel &&) = default; + /** Default destructor */ + virtual ~INEGEMMLowpReductionKernel() = default; + + /** Initialise the kernel's input and output. + * + * @param[in] input Input tensor. Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8/QSYMM8_PER_CHANNEL + * @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 ITensor *input, ITensor *output, const GEMMLowpReductionKernelInfo &info) = 0; + +protected: + const ITensor *_input; + ITensor *_output; + int32_t _k; + int32_t _scalar; + bool _mul_by_scalar; +}; + +/** NEON 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 NEGEMMLowpMatrixAReductionKernel : public INEGEMMLowpReductionKernel +{ +public: + const char *name() const override + { + return "NEGEMMLowpMatrixAReductionKernel"; + } + /** Default constructor */ + NEGEMMLowpMatrixAReductionKernel() = default; + /** Prevent instances of this class from being copied */ + NEGEMMLowpMatrixAReductionKernel(const NEGEMMLowpMatrixAReductionKernel &) = delete; + /** Prevent instances of this class from being copied */ + NEGEMMLowpMatrixAReductionKernel &operator=(const NEGEMMLowpMatrixAReductionKernel &) = delete; + /** Allow instances of this class to be moved */ + NEGEMMLowpMatrixAReductionKernel(NEGEMMLowpMatrixAReductionKernel &&) = default; + /** Allow instances of this class to be moved */ + NEGEMMLowpMatrixAReductionKernel &operator=(NEGEMMLowpMatrixAReductionKernel &&) = default; + /** Default destructor */ + ~NEGEMMLowpMatrixAReductionKernel() = default; + /** Initialise the kernel's input and output. + * + * @param[in] mtx_a Input tensor. Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8/QSYMM8_PER_CHANNEL + * @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 (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 ITensor *mtx_a, ITensor *vector_sum_row, const GEMMLowpReductionKernelInfo &info) override; + /** Static function to check if given info will lead to a valid configuration of @ref NEGEMMLowpMatrixAReductionKernel + * + * @param[in] mtx_a Input tensor. Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8/QSYMM8_PER_CHANNEL + * @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 (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. + * + * @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, const ThreadInfo &info) override; + +private: + /** Execution of the reduction kernel specialized on the input type + * + * @param[in] window Execution window + */ + template <typename T> + void run_internal(const Window &window); +}; + +/** NEON 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 NEGEMMLowpMatrixBReductionKernel : public INEGEMMLowpReductionKernel +{ +public: + const char *name() const override + { + return "NEGEMMLowpMatrixBReductionKernel"; + } + /** Default constructor */ + NEGEMMLowpMatrixBReductionKernel() = default; + /** Prevent instances of this class from being copied (As this class contains pointers) */ + NEGEMMLowpMatrixBReductionKernel(const NEGEMMLowpMatrixBReductionKernel &) = delete; + /** Prevent instances of this class from being copied (As this class contains pointers) */ + NEGEMMLowpMatrixBReductionKernel &operator=(const NEGEMMLowpMatrixBReductionKernel &) = delete; + /** Allow instances of this class to be moved */ + NEGEMMLowpMatrixBReductionKernel(NEGEMMLowpMatrixBReductionKernel &&) = default; + /** Allow instances of this class to be moved */ + NEGEMMLowpMatrixBReductionKernel &operator=(NEGEMMLowpMatrixBReductionKernel &&) = default; + /** Default destructor */ + ~NEGEMMLowpMatrixBReductionKernel() = default; + /** 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 (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 ITensor *mtx_b, ITensor *vector_sum_col, const GEMMLowpReductionKernelInfo &info) override; + /** Static function to check if given info will lead to a valid configuration of @ref NEGEMMLowpMatrixBReductionKernel + * + * @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 (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. + * + * @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, const ThreadInfo &info) override; + +private: + /** Execution of the reduction kernel specialized on the input type + * + * @param[in] window Execution window + * @param[in] info Thread-related information + */ + template <typename T> + void run_internal(const Window &window, const ThreadInfo &info); +}; +} // namespace arm_compute + +#endif /* ARM_COMPUTE_NEGEMMLOWREDUCTIONKERNEL_H */ |