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Diffstat (limited to 'arm_compute/core/NEON/kernels/NEGEMMLowpFinalizeKernel.h')
| -rw-r--r-- | arm_compute/core/NEON/kernels/NEGEMMLowpFinalizeKernel.h | 103 |
1 files changed, 0 insertions, 103 deletions
diff --git a/arm_compute/core/NEON/kernels/NEGEMMLowpFinalizeKernel.h b/arm_compute/core/NEON/kernels/NEGEMMLowpFinalizeKernel.h deleted file mode 100644 index 8908fabc1e..0000000000 --- a/arm_compute/core/NEON/kernels/NEGEMMLowpFinalizeKernel.h +++ /dev/null @@ -1,103 +0,0 @@ -/* - * Copyright (c) 2017 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_NEGEMMLOWPFINALIZEKERNEL_H__ -#define __ARM_COMPUTE_NEGEMMLOWPFINALIZEKERNEL_H__ - -#include "arm_compute/core/NEON/INEKernel.h" - -namespace arm_compute -{ -class ITensor; - -/* NEON kernel used to finalize the GEMMLowp result - * - * This kernel performs the following computations: - * - * -# Add offset terms to final result - * -# Multiply each entry of result and round to nearest integer - * -# Clamp the resulting int32 values to the [0..255] range and cast to uint8. - */ -class NEGEMMLowpFinalizeKernel : public INEKernel -{ -public: - /** Constructor */ - NEGEMMLowpFinalizeKernel(); - /** Prevent instances of this class from being copied (As this class contains pointers)*/ - NEGEMMLowpFinalizeKernel(const NEGEMMLowpFinalizeKernel &) = delete; - /** Prevent instances of this class from being copied (As this class contains pointers)*/ - NEGEMMLowpFinalizeKernel &operator=(const NEGEMMLowpFinalizeKernel &) = delete; - /** Allow instances of this class to be moved */ - NEGEMMLowpFinalizeKernel(NEGEMMLowpFinalizeKernel &&) = default; - /** Allow instances of this class to be moved */ - NEGEMMLowpFinalizeKernel &operator=(NEGEMMLowpFinalizeKernel &&) = default; - /** Initialise the kernel's input and output. - * - * @note The input row-vectors @p vector_sum_col and @p vector_sum_row must be the output of @ref NEGEMMLowpMatrixBReductionKernel and @ref NEGEMMLowpMatrixAReductionKernel kernels. - * These 2 vectors are needed to handle the offset of matrix product - * https://github.com/google/gemmlowp/blob/master/doc/low-precision.md - * - * @param[in] vector_sum_col Input row-vector of sums of all the entries in each column of input1. - * Note: vector_sum_col can be a nullptr in case a_offset = 0. Data type supported: S32 - * @param[in] vector_sum_row Input row-vector of sums of all the entries in each row of input0. - * Note: vector_sum_row can be a nullptr in case b_offset = 0. Data type supported: same as @p vector_sum_col - * @param[in] mm_result Input tensor containing the result of @ref NEGEMMLowpMatrixMultiplyKernel. Data type supported: same as @p vector_sum_col - * @param[out] output Output tensor containing the result of GEMMLowP. Data type supported: S8 - * @param[in] num_mtx_a_cols Number of matrix A columns - * @param[in] a_offset Offset to be added to each element of the matrix A. - * @param[in] b_offset Offset to be added to each element of the matrix B. - * @param[in] c_offset Offset to be added to each element of the output matrix - * @param[in] c_mult_int Value to be multiplied to each entry of the result. - * @param[in] shift Number of bits to shift right the result. - */ - void configure(const ITensor *vector_sum_col, const ITensor *vector_sum_row, const ITensor *mm_result, ITensor *output, int32_t num_mtx_a_cols, int32_t a_offset, int32_t b_offset, int32_t c_offset, - int32_t c_mult_int, int32_t shift); - - // Inherited methods overridden: - void run(const Window &window, const ThreadInfo &info) override; - -private: - /** Template function to run the finalize kernel - * - * @param[in] window Region on which to execute the kernel. (Must be a valid region of the window returned by window()). - */ - template <bool add_a_offset, bool add_b_offset> - void finalize(const Window &window); - using FinalizeFunctionPtr = void (NEGEMMLowpFinalizeKernel::*)(const Window &window); - - FinalizeFunctionPtr _func; - const ITensor *_vector_sum_col; - const ITensor *_vector_sum_row; - const ITensor *_mm_result; - ITensor *_output; - int32_t _a_offset; - int32_t _b_offset; - int32_t _c_offset; - int32_t _k_offset; - int32_t _c_mult_int; - int32_t _shift; - bool _slide_vector_sum_col; -}; -} // namespace arm_compute - -#endif /* __ARM_COMPUTE_NEGEMMLOWPFINALIZEKERNEL_H__ */ |