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Diffstat (limited to 'src/runtime/cpu/operators/CpuGemm.h')
-rw-r--r-- | src/runtime/cpu/operators/CpuGemm.h | 145 |
1 files changed, 145 insertions, 0 deletions
diff --git a/src/runtime/cpu/operators/CpuGemm.h b/src/runtime/cpu/operators/CpuGemm.h new file mode 100644 index 0000000000..8d859791f5 --- /dev/null +++ b/src/runtime/cpu/operators/CpuGemm.h @@ -0,0 +1,145 @@ +/* + * Copyright (c) 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_CPU_GEMM_H +#define ARM_COMPUTE_CPU_GEMM_H + +#include "src/runtime/cpu/ICpuOperator.h" + +#include "arm_compute/core/ITensorPack.h" +#include "arm_compute/core/TensorInfo.h" +#include "arm_compute/core/Types.h" +#include "src/core/cpu/kernels/CpuGemmInterleave4x4Kernel.h" +#include "src/core/cpu/kernels/CpuGemmMatrixAdditionKernel.h" +#include "src/core/cpu/kernels/CpuGemmMatrixMultiplyKernel.h" +#include "src/core/cpu/kernels/CpuGemmTranspose1xWKernel.h" +#include "src/runtime/cpu/operators/CpuActivation.h" +#include "src/runtime/cpu/operators/CpuAdd.h" +#include "src/runtime/cpu/operators/internal/CpuGemmAssemblyDispatch.h" + +#include <memory> + +namespace arm_compute +{ +namespace cpu +{ +/** Basic function to execute GEMM. This function calls the following kernels: + * + * If optimized assembly is available: + * -# @ref cpu::CpuGemmAssemblyDispatch + * -# @ref cpu::CpuActivation (if alpha != 1.0) + * Else: + * -# @ref cpu::kernels::CpuGemmInterleave4x4Kernel (if the output tensor is a matrix) + * -# @ref cpu::kernels::CpuGemmTranspose1xWKernel (if the output tensor is a matrix) + * -# @ref cpu::kernels::CpuGemmMatrixMultiplyKernel + * In both cases: + * -# @ref cpu::kernels::CpuGemmMatrixAdditionKernel (if c != nullptr and beta != 0.0 and is not reshaped once) + * Else: + * -# @ref cpu::CpuAdd (if c != nullptr and is reshaped once and not optimized assembly in place) + * + * -# @ref cpu::CpuActivation (if activation is specified in GEMMInfo) + */ +class CpuGemm : public ICpuOperator +{ +public: + /** Default constructor */ + CpuGemm() = default; + /** Default destructor */ + ~CpuGemm() = default; + /** Configure operator for a given list of arguments + * + * Valid data layouts: + * - All + * + * Valid data type configurations: + * |src0 |src1 |src2 |dst | + * |:------------|:-----------|:---------|:--------------| + * |F32 |F32 |F32 |F32 | + * |F16 |F16 |F16 |F16 | + * |BFLOAT16 |BFLOAT16 |BFLOAT16 |BFLOAT16 | + * + * @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 info (Matrix A or Vector A). Data type 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] d 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 + */ + void configure(const ITensorInfo *a, const ITensorInfo *b, const ITensorInfo *c, ITensorInfo *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 CpuGemm. + * + * Similar to @ref CpuGemm::configure() + * + * @return a status + */ + static Status validate(const ITensorInfo *a, const ITensorInfo *b, const ITensorInfo *c, const ITensorInfo *d, + float alpha, float beta, const GEMMInfo &gemm_info = GEMMInfo()); + + // Inherited methods overridden: + void run(ITensorPack &tensors) override; + void prepare(ITensorPack &constants) override; + experimental::MemoryRequirements workspace() const override; + +private: + enum AuxTensorIdx + { + AsmGemmWorkspace = 0, + Pretraspose, + InterleavedLHS, + TransposedRHS, + TempResult, + Count + }; + + std::unique_ptr<kernels::CpuGemmInterleave4x4Kernel> _interleave_kernel{ nullptr }; + std::unique_ptr<kernels::CpuGemmTranspose1xWKernel> _transpose_kernel{ nullptr }; + std::unique_ptr<kernels::CpuGemmMatrixMultiplyKernel> _mm_kernel{ nullptr }; + std::unique_ptr<CpuGemmAssemblyDispatch> _asm_glue{ nullptr }; + std::unique_ptr<kernels::CpuGemmMatrixAdditionKernel> _ma_kernel{ nullptr }; + std::unique_ptr<CpuActivation> _alpha_scale_func{ nullptr }; + std::unique_ptr<CpuAdd> _add_bias{ nullptr }; + std::unique_ptr<CpuActivation> _activation_func{ nullptr }; + + TensorInfo _tmp_a{}; + TensorInfo _tmp_b{}; + TensorInfo _tmp_d{}; + + bool _run_vector_matrix_multiplication{ false }; + bool _run_alpha_scale{ false }; + bool _run_addition{ false }; + bool _run_bias_addition{ false }; + bool _run_activation{ false }; + bool _reshape_b_only_on_first_run{ false }; + bool _is_prepared{ false }; + + experimental::MemoryRequirements _aux_mem{ Count }; +}; +} // namespace cpu +} // namespace arm_compute +#endif /*ARM_COMPUTE_CPU_GEMM_H */ |