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-/*
- * 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 */