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/*
* Copyright (c) 2022 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_MATRIXMULTIPLY_RESHAPED_ONLY_RHS_MMUL_KERNEL_H
#define ARM_COMPUTE_CL_GEMMLOWP_MATRIXMULTIPLY_RESHAPED_ONLY_RHS_MMUL_KERNEL_H
#include "arm_compute/core/KernelDescriptors.h"
#include "src/core/common/Macros.h"
#include "src/gpu/cl/IClKernel.h"
namespace arm_compute
{
namespace opencl
{
namespace kernels
{
/** OpenCL kernel to multiply matrices with QASYMM8/QASYMM8_SIGNED data types when only the input matrix RHS (src1) has been reshaped using the MMUL instruction
*
* @note The input matrix src1 must be reshaped through @ref opencl::kernels::ClGemmReshapeRhsMatrixKernel
* @note For fused output stage, only GEMMLowpOutputStageType::QUANTIZE_DOWN_FIXEDPOINT type is supported
*/
class ClGemmLowpMatrixMultiplyReshapedOnlyRhsMMULKernel : public IClKernel
{
public:
ClGemmLowpMatrixMultiplyReshapedOnlyRhsMMULKernel();
ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(ClGemmLowpMatrixMultiplyReshapedOnlyRhsMMULKernel);
/** Initialise the kernel's source and destination.
*
* @param[in] compile_context The compile context to be used.
* @param[in] src0 Input tensor containing the LHS matrix. Data type supported: QASYMM8/QASYMM8_SIGNED
* @param[in] src1 Input tensor containing the RHS reshaped matrix. Data type supported: same as @p src0
* @param[out] dst Destination tensor. Data type supported: QASYMM8/QASYMM8_SIGNED/S32.
* @param[in] gemm_info GEMM information used to retrieve the original dimensions of the input matrices, output stage information and RHS/LHS info.
* lhs_info.m0: 1,2,4
* Only the following values are supported for RHS info:
* rhs_info.n0: 1,4,8
* rhs_info.k0: same as lhs_info.k0: 4
* rhs_info.transpose: true
* @param[in] vector_sum_col (Optional) 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: S32
* @param[in] vector_sum_row (Optional) 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: S32
* @param[in] bias (Optional) Biases tensor. Can be a nullptr if the addition of biases is not required.
* Biases are 1D tensor with dimensions [OFM] or same dimensionality as dst if gemm_info.broadcast_bias is false. Data type supported: S32.
* @param[in] output_multipliers (Optional) Output multipliers tensor. Supported data types: S32.
* @param[in] output_shifts (Optional) Output shifts tensor. Supported data types: S32.
*/
void configure(const CLCompileContext &compile_context,
const ITensorInfo *src0,
const ITensorInfo *src1,
ITensorInfo *dst,
const GEMMKernelInfo &gemm_info,
ITensorInfo *vector_sum_col = nullptr,
const ITensorInfo *vector_sum_row = nullptr,
ITensorInfo *bias = nullptr,
ITensorInfo *output_multipliers = nullptr,
ITensorInfo *output_shifts = nullptr);
/** Static function to check if given info will lead to a valid configuration
*
* Similar to @ref ClGemmLowpMatrixMultiplyReshapedOnlyRhsMMULKernel::configure()
*
* @return a status
*/
static Status validate(const ITensorInfo *src0,
const ITensorInfo *src1,
const ITensorInfo *dst,
const GEMMKernelInfo &gemm_info,
const ITensorInfo *vector_sum_col = nullptr,
const ITensorInfo *vector_sum_row = nullptr,
const ITensorInfo *bias = nullptr,
const ITensorInfo *output_multipliers = nullptr,
const ITensorInfo *output_shifts = nullptr);
// Inherited methods overridden:
void run_op(ITensorPack &tensors, const Window &window, cl::CommandQueue &queue) override;
private:
bool _fuse_output_stage{false};
signed int _m{1};
signed int _n{1};
signed int _k{1};
};
} // namespace kernels
} // namespace opencl
} // namespace arm_compute
#endif /* ARM_COMPUTE_CL_GEMMLOWP_MATRIXMULTIPLY_RESHAPED_ONLY_RHS_MMULKERNEL_H */
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