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/*
* Copyright (c) 2019-2021, 2023 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 ACL_SRC_GPU_CL_KERNELS_CLGEMMMATRIXMULTIPLYNATIVEKERNEL_H
#define ACL_SRC_GPU_CL_KERNELS_CLGEMMMATRIXMULTIPLYNATIVEKERNEL_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
{
/** OpenCL kernel to multiply matrices when neither of the input matrices have been reshaped */
class ClGemmMatrixMultiplyNativeKernel : public IClKernel
{
public:
ClGemmMatrixMultiplyNativeKernel();
ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(ClGemmMatrixMultiplyNativeKernel);
/** Initialise the kernel's input and dst.
*
* @param[in] compile_context The compile context to be used.
* @param[in] src0 Input tensor for the LHS matrix. Data type supported: F32/F16. The number of dimensions for the LHS matrix must be less or equal than 4.
* @param[in] src1 Input tensor for the RHS matrix. Data type supported: same as @p src0. The number of dimensions for the RHS matrix must be less or equal than 3.
* @param[in] src2 Input tensor containing the bias matrix. Data type supported: same as @p src0.
* @param[out] dst dst tensor info. Data type supported: same as @p src0
* @param[in] alpha Weight of the matrix product
* @param[in] beta Weight of the matrix bias
* @param[in] lhs_info LHS matrix information used to retrieve the number of rows and accumulations to be processed by each thread. Only the following values are supported:
* lhs_info.m0: 1,2,3,4,5,6,7,8
* lhs_info.k0: 2,3,4,8,16
* @param[in] rhs_info RHS matrix information used to retrieve the number of columns and accumulations to be processed by each thread. Only the following values are supported:
* rhs_info.n0: 2,3,4,8,16
* rhs_info.k0: same of lhs_info.k0
* @param[in] gemm_info GEMM information used to retrieve the original dimensions of the input matrices
*/
void configure(const ClCompileContext &compile_context,
ITensorInfo *src0,
ITensorInfo *src1,
ITensorInfo *src2,
ITensorInfo *dst,
float alpha,
float beta,
const GEMMLHSMatrixInfo &lhs_info,
const GEMMRHSMatrixInfo &rhs_info,
const GEMMKernelInfo &gemm_info);
/** Static function to check if given info will lead to a valid configuration
*
* Similar to @ref ClGemmMatrixMultiplyNativeKernel::configure()
*
* @return a status
*/
static Status validate(const ITensorInfo *src0,
const ITensorInfo *src1,
const ITensorInfo *src2,
const ITensorInfo *dst,
float alpha,
float beta,
const GEMMLHSMatrixInfo &lhs_info,
const GEMMRHSMatrixInfo &rhs_info,
const GEMMKernelInfo &gemm_info);
// Inherited methods overridden:
void run_op(ITensorPack &tensors, const Window &window, cl::CommandQueue &queue) override;
private:
bool _slide_matrix_b{true};
bool _reinterpret_input_as_3d{false};
bool _reinterpret_output_as_3d{false};
bool _use_dummy_work_items{false};
bool _add_bias{false};
signed int _m{1};
signed int _n{1};
signed int _k{1};
};
} // namespace kernels
} // namespace opencl
} // namespace arm_compute
#endif // ACL_SRC_GPU_CL_KERNELS_CLGEMMMATRIXMULTIPLYNATIVEKERNEL_H
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