| /* |
| * 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_NEGEMM_H |
| #define ARM_COMPUTE_NEGEMM_H |
| |
| #include "arm_compute/runtime/IFunction.h" |
| #include "arm_compute/runtime/IMemoryManager.h" |
| #include "arm_compute/runtime/IWeightsManager.h" |
| #include "arm_compute/runtime/MemoryGroup.h" |
| #include "arm_compute/runtime/NEON/functions/NEActivationLayer.h" |
| #include "arm_compute/runtime/NEON/functions/NEArithmeticAddition.h" |
| #include "arm_compute/runtime/Tensor.h" |
| |
| #include <memory> |
| |
| namespace arm_compute |
| { |
| // Forward declarations |
| class NEGEMMInterleave4x4Kernel; |
| class NEGEMMMatrixAdditionKernel; |
| class NEGEMMMatrixMultiplyKernel; |
| class NEGEMMTranspose1xWKernel; |
| class NEGEMMAssemblyDispatch; |
| |
| /** Basic function to execute GEMM on NEON. This function calls the following NEON kernels: |
| * |
| * If optimized assembly is available: |
| * -# @ref NEGEMMAssemblyDispatch |
| * -# @ref NEActivationLayer (if alpha != 1.0) |
| * Else: |
| * -# @ref NEGEMMInterleave4x4Kernel (if the output tensor is a matrix) |
| * -# @ref NEGEMMTranspose1xWKernel (if the output tensor is a matrix) |
| * -# @ref NEGEMMMatrixMultiplyKernel |
| * In both cases: |
| * -# @ref NEGEMMMatrixAdditionKernel (if c != nullptr and beta != 0.0 and is not reshaped once) |
| * Else: |
| * -# @ref NEArithmeticAddition (if c != nullptr and is reshaped once and not optimized assembly in place) |
| * |
| * -# @ref NEActivationLayer (if activation is specified in GEMMInfo) |
| */ |
| class NEGEMM : public IFunction |
| { |
| public: |
| /** Constructor */ |
| NEGEMM(std::shared_ptr<IMemoryManager> memory_manager = nullptr, IWeightsManager *weights_manager = nullptr); |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| NEGEMM(const NEGEMM &) = delete; |
| /** Default move constructor */ |
| NEGEMM(NEGEMM &&) = default; |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| NEGEMM &operator=(const NEGEMM &) = delete; |
| /** Default move assignment operator */ |
| NEGEMM &operator=(NEGEMM &&) = default; |
| /** Default destructor */ |
| ~NEGEMM(); |
| /** Initialise the kernel's inputs, output |
| * |
| * @note GEMM: General Matrix Multiply - [alpha * A * B + beta * C]. |
| * @note GEMM: The tensors a, b, c, d must have the same data type. You should not mix data types when calling this function. |
| * |
| * @param[in] a First input tensor (Matrix A or Vector A). Data type supported: BFLOAT16/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] d 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 |
| */ |
| void configure(const ITensor *a, const ITensor *b, const ITensor *c, ITensor *d, float alpha, float beta, const GEMMInfo &gemm_info = GEMMInfo()); |
| /** Static function to check if given info will lead to a valid configuration of @ref NEGEMM. |
| * |
| * @param[in] a First input tensor info (Matrix or Vector A). Data types supported: BFLOAT16/F16/F32 |
| * @param[in] b Second input tensor info (Matrix B). Data type supported: same as @p a. |
| * @param[in] c Third input tensor info (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 info. 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 ITensorInfo *c, const ITensorInfo *output, float alpha, float beta, const GEMMInfo &gemm_info = GEMMInfo()); |
| |
| // Inherited methods overridden: |
| void run() override; |
| void prepare() override; |
| |
| private: |
| MemoryGroup _memory_group; |
| IWeightsManager *_weights_manager; |
| std::unique_ptr<NEGEMMInterleave4x4Kernel> _interleave_kernel; |
| std::unique_ptr<NEGEMMTranspose1xWKernel> _transpose_kernel; |
| std::unique_ptr<NEGEMMMatrixMultiplyKernel> _mm_kernel; |
| std::unique_ptr<NEGEMMAssemblyDispatch> _asm_glue; |
| std::unique_ptr<NEGEMMMatrixAdditionKernel> _ma_kernel; |
| NEActivationLayer _alpha_scale_func; |
| NEArithmeticAddition _add_bias; |
| NEActivationLayer _activation_func; |
| |
| Tensor _tmp_a; |
| Tensor _tmp_b; |
| Tensor _tmp_d; |
| const ITensor *_original_b; |
| bool _run_vector_matrix_multiplication; |
| bool _run_alpha_scale; |
| bool _run_addition; |
| bool _run_bias_addition; |
| bool _run_activation; |
| bool _reshape_b_only_on_first_run; |
| bool _is_prepared; |
| }; |
| } // namespace arm_compute |
| #endif /*ARM_COMPUTE_NEGEMM_H */ |