| /* |
| * 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__ */ |