| /* |
| * Copyright (c) 2018-2021 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_CL_GEMMLOWP_OFFSET_CONTRIBUTION_OUTPUT_STAGE_KERNEL_H |
| #define ARM_COMPUTE_CL_GEMMLOWP_OFFSET_CONTRIBUTION_OUTPUT_STAGE_KERNEL_H |
| |
| #include "src/core/common/Macros.h" |
| #include "src/core/gpu/cl/ClCompileContext.h" |
| #include "src/core/gpu/cl/IClKernel.h" |
| |
| namespace arm_compute |
| { |
| namespace opencl |
| { |
| namespace kernels |
| { |
| /** OpenCL kernel used to add the offset contribution after the matrix multiplication and perform the output stage. |
| * |
| * This kernel takes a final int32 accumulator value (the output of the matrix multiplication), adds to it the offset contribution |
| * of matrix A and matrix B and performs the output stage defined by the output_stage argument |
| * |
| * @note For quantized computations the output data type for auto-initialization must be passed as part of the @ref GEMMLowpOutputStageInfo. |
| */ |
| class ClGemmLowpOffsetContributionOutputStageKernel : public IClKernel |
| { |
| public: |
| ClGemmLowpOffsetContributionOutputStageKernel(); |
| ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(ClGemmLowpOffsetContributionOutputStageKernel); |
| /** Initialise the kernel's input and output. |
| * |
| * @param[in] compile_context The compile context to be used. |
| * @param[in] mm_result Input tensor containing the result of the matrix multiplication. Data type supported: S32 |
| * @param[in] vector_sum_col Input row-vector of sums of all the entries in each column of matrix B. |
| * Note: vector_sum_col can be a nullptr in case a_offset = 0. Data type supported: same as @p mm_result |
| * @param[in] vector_sum_row Input row-vector of sums of all the entries in each row of matrix A. |
| * Note: vector_sum_row can be a nullptr in case b_offset = 0. Data type supported: same as @p mm_result |
| * @param[in] bias Biases tensor. Only shared biases supported and it can be a nullptr if the addition of biases is not required. |
| * Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as @p mm_result. |
| * @param[out] dst Destination tensor. Data type supported: QASYMM8/QASYMM8_SIGNED. |
| * @param[in] k Number of matrix A columns or Matrix B rows |
| * @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] output_stage GEMMLowp output stage info |
| * @param[in] output_multipliers Output multipliers tensor. In case of per-channel quantization, the number of multipliers must be equal to the number of filters (OFM). |
| * Supported data types: S32 |
| * @param[in] output_shifts Output shifts tensor. In case of per-channel quantization, the number of multipliers must be equal to the number of filters (OFM). |
| * Supported data types: S32 |
| */ |
| void configure(const CLCompileContext &compile_context, const ITensorInfo *mm_result, const ITensorInfo *vector_sum_col, const ITensorInfo *vector_sum_row, const ITensorInfo *bias, ITensorInfo *dst, |
| int32_t k, int32_t a_offset, int32_t b_offset, const GEMMLowpOutputStageInfo &output_stage, |
| const ITensorInfo *output_multipliers, const ITensorInfo *output_shifts); |
| /** Static function to check if given info will lead to a valid configuration |
| * |
| * Similar to @ref ClGemmLowpOffsetContributionOutputStageKernel::configure() |
| * |
| * @return a status |
| */ |
| static Status validate(const ITensorInfo *mm_result, const ITensorInfo *vector_sum_col, const ITensorInfo *vector_sum_row, const ITensorInfo *bias, const ITensorInfo *dst, int32_t a_offset, |
| int32_t b_offset, const GEMMLowpOutputStageInfo &output_stage, const ITensorInfo *output_multipliers, const ITensorInfo *output_shifts); |
| |
| // Inherited methods overridden: |
| void run_op(ITensorPack &tensors, const Window &window, cl::CommandQueue &queue) override; |
| |
| private: |
| bool _is_quantized_per_channel{ false }; |
| }; |
| } // namespace kernels |
| } // namespace opencl |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_CL_GEMMLOWP_OFFSET_CONTRIBUTION_OUTPUT_STAGE_KERNEL_H */ |