| /* |
| * Copyright (c) 2017-2021 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_REDUCTION_KERNEL_H |
| #define ARM_COMPUTE_CL_GEMMLOWP_REDUCTION_KERNEL_H |
| |
| #include "arm_compute/core/KernelDescriptors.h" |
| #include "src/core/common/Macros.h" |
| #include "src/gpu/cl/ClCompileContext.h" |
| #include "src/gpu/cl/IClKernel.h" |
| |
| namespace arm_compute |
| { |
| namespace opencl |
| { |
| namespace kernels |
| { |
| /** Common interface for all OpenCL reduction kernels */ |
| class IClGemmLowpReductionKernel : public IClKernel |
| { |
| public: |
| IClGemmLowpReductionKernel(); |
| ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(IClGemmLowpReductionKernel); |
| /** 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 ITensorInfo *input, ITensorInfo *output, const GEMMLowpReductionKernelInfo &info) = 0; |
| }; |
| |
| /** 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] 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 ITensorInfo *mtx_a, ITensorInfo *vector_sum_row, const GEMMLowpReductionKernelInfo &info) override; |
| /** Static function to check if given info will lead to a valid configuration |
| * |
| * Similar to @ref ClGemmLowpQuantizeDownInt32ScaleByFixedPointKernel::configure() |
| * |
| * @return a status |
| */ |
| static Status validate(const ITensorInfo *mtx_a, const ITensorInfo *vector_sum_row, const GEMMLowpReductionKernelInfo &info); |
| |
| // Inherited methods overridden: |
| void run_op(ITensorPack &tensors, 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] 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 ITensorInfo *mtx_b, ITensorInfo *vector_sum_col, const GEMMLowpReductionKernelInfo &info) override; |
| /** Static function to check if given info will lead to a valid configuration |
| * |
| * Similar to @ref ClGemmLowpQuantizeDownInt32ScaleByFixedPointKernel::configure() |
| * |
| * @return a status |
| */ |
| static Status validate(const ITensorInfo *mtx_b, const ITensorInfo *vector_sum_col, const GEMMLowpReductionKernelInfo &info); |
| |
| // Inherited methods overridden: |
| void run_op(ITensorPack &tensors, const Window &window, cl::CommandQueue &queue) override; |
| }; |
| } // namespace kernels |
| } // namespace opencl |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_CL_GEMMLOWP_REDUCTION_KERNEL_H */ |