| /* |
| * Copyright (c) 2016-2018 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_CLGEMM_H__ |
| #define __ARM_COMPUTE_CLGEMM_H__ |
| |
| #include "arm_compute/core/CL/kernels/CLFillBorderKernel.h" |
| #include "arm_compute/core/CL/kernels/CLGEMMInterleave4x4Kernel.h" |
| #include "arm_compute/core/CL/kernels/CLGEMMMatrixAdditionKernel.h" |
| #include "arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyKernel.h" |
| #include "arm_compute/core/CL/kernels/CLGEMMTranspose1xWKernel.h" |
| #include "arm_compute/runtime/CL/CLMemoryGroup.h" |
| #include "arm_compute/runtime/CL/CLTensor.h" |
| #include "arm_compute/runtime/IFunction.h" |
| #include "arm_compute/runtime/IMemoryManager.h" |
| |
| #include <memory> |
| |
| namespace arm_compute |
| { |
| class ICLTensor; |
| |
| /** Basic function to execute GEMM on OpenCL. This function calls the following OpenCL kernels: |
| * |
| * -# @ref CLGEMMInterleave4x4Kernel (if the output tensor is a matrix) |
| * -# @ref CLGEMMTranspose1xWKernel (if the output tensor is a matrix) |
| * -# @ref CLGEMMMatrixMultiplyKernel |
| * -# @ref CLGEMMMatrixAdditionKernel (if c != nullptr and beta != 0.0) |
| * |
| */ |
| class CLGEMM : public IFunction |
| { |
| public: |
| /** Default constructor. */ |
| CLGEMM(std::shared_ptr<IMemoryManager> memory_manager = nullptr); |
| /** Initialise the kernel's inputs and output |
| * |
| * @note GEMM: General Matrix Multiply - [alpha * A * B + beta * C]. |
| * |
| * @note All tensors must have the same data type. |
| * |
| * @note Whilst the first input tensor can be a vector, the second input tensor must be at least a matrix |
| * |
| * @param[in] a First input tensor (Matrix or Vector A). Data types supported: QS8/QS16/F16/F32 |
| * @param[in] b Second input tensor (Matrix B). Data type supported: same as @p a. |
| * @param[in] c Third input tensor (Matrix C). It can be a nullptr if just the multiplication between @p a and @p b is needed. Data type supported: same as @p a. |
| * @param[out] output Output tensor. Data type supported: same as @p a |
| * @param[in] alpha Weight of the matrix product |
| * @param[in] beta Weight of matrix C |
| * @param[in] gemm_info (Optional) Specifies if the matrix A and/or matrix B have been reshaped and |
| * if the reshape of matrix B should happen only for the first run. GEMMInfo also contains information about the reshaping |
| * in case matrix A and matrix B have been already transformed. |
| */ |
| void configure(const ICLTensor *a, const ICLTensor *b, const ICLTensor *c, ICLTensor *output, float alpha, float beta, const GEMMInfo &gemm_info = GEMMInfo()); |
| /** Static function to check if given info will lead to a valid configuration of @ref CLGEMM. |
| * |
| * @param[in] a First input tensor (Matrix or Vector A). Data types supported: QS8/QS16/F16/F32 |
| * @param[in] b Second input tensor (Matrix B). Data type supported: same as @p a. |
| * @param[in] c Third input tensor (Matrix C). It can be a nullptr if just the multiplication between @p a and @p b is needed. Data type supported: same as @p a. |
| * @param[out] output Output tensor. Data type supported: same as @p a |
| * @param[in] alpha Weight of the matrix product |
| * @param[in] beta Weight of matrix C |
| * @param[in] gemm_info (Optional) Specifies if the matrix A and/or matrix B have been reshaped and |
| * if the reshape of matrix B should happen only for the first run |
| * |
| * @return a status |
| */ |
| static Status validate(const ITensorInfo *a, const ITensorInfo *b, const ICLTensor *c, const ITensorInfo *output, const float alpha, const float beta, const GEMMInfo &gemm_info = GEMMInfo()); |
| |
| // Inherited methods overridden: |
| void run() override; |
| |
| private: |
| CLMemoryGroup _memory_group; |
| CLGEMMInterleave4x4Kernel _interleave_kernel; |
| CLGEMMTranspose1xWKernel _transpose_kernel; |
| CLGEMMMatrixMultiplyKernel _mm_kernel; |
| CLGEMMMatrixAdditionKernel _ma_kernel; |
| CLTensor _tmp_a; |
| CLTensor _tmp_b; |
| bool _is_interleaved_transposed; |
| bool _run_addition; |
| bool _is_first_run; |
| bool _reshape_b_only_on_first_run; |
| }; |
| } |
| |
| #endif /* __ARM_COMPUTE_CLGEMM_H__ */ |