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-/*
- * 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/core/gpu/cl/ClCompileContext.h"
-#include "src/core/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 */