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Diffstat (limited to 'src/core/cpu/kernels/CpuGemmMatrixMultiplyKernel.h')
| -rw-r--r-- | src/core/cpu/kernels/CpuGemmMatrixMultiplyKernel.h | 91 |
1 files changed, 0 insertions, 91 deletions
diff --git a/src/core/cpu/kernels/CpuGemmMatrixMultiplyKernel.h b/src/core/cpu/kernels/CpuGemmMatrixMultiplyKernel.h deleted file mode 100644 index 974ff85606..0000000000 --- a/src/core/cpu/kernels/CpuGemmMatrixMultiplyKernel.h +++ /dev/null @@ -1,91 +0,0 @@ -/* - * 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_CPU_GEMM_MATRIX_MULTIPLY_KERNEL_H -#define ARM_COMPUTE_CPU_GEMM_MATRIX_MULTIPLY_KERNEL_H - -#include "src/core/common/Macros.h" -#include "src/core/cpu/ICpuKernel.h" - -namespace arm_compute -{ -namespace cpu -{ -namespace kernels -{ -/** Kernel to multiply two input matrices "A" and "B". All elements of the output matrix/vector will be multiplied by alpha after the matrix multiplication - * - * @note If the output tensor is a matrix, the implementation assumes that the input tensors @p lhs and @p rhs are both matrices and reshaped respectively with @ref CpuGemmInterleave4x4Kernel" and @ref CpuGemmTranspose1xWKernel - * @note If the output tensor is a vector and the data type is F32, the implementation assumes that the first input tensor @p lhs is a vector and the second input tensor @p rhs a matrix. The implementation also assumes that both tensors have not been reshaped - * - */ -class CpuGemmMatrixMultiplyKernel : public ICpuKernel -{ -public: - CpuGemmMatrixMultiplyKernel() = default; - ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(CpuGemmMatrixMultiplyKernel); - /** Initialise the kernel's input and output. - * - * @note If the output tensor is a matrix, the input matrices @p lhs and @p rhs should be the output of the kernels: @ref CpuGemmInterleave4x4Kernel and @ref CpuGemmTranspose1xWKernel - * These two kernels change the layout of the original matrices to be more cache-friendly. - * - * @param[in] lhs Left-handside tensor info containing the interleaved Matrix A or the vector A. Data types supported: F16/F32 - * @param[in] rhs Right-handside tensor info containing the transposed Matrix B if the first input tensor A is not a vector. - * If the output tensor is a vector, rhs must contain the matrix B not reshaped. Data type supported: same as @p lhs - * @param[out] dst Output tensor to store the result of matrix multiplication. Data type supported: same as @p lhs. - * @param[in] alpha Weight of the matrix product - * @param[in] is_interleaved (Optional) True if lhs and rhs have been reshaped respectively using @ref CpuGemmInterleave4x4Kernel and @ref CpuGemmTranspose1xWKernel - * @param[in] reshape_info (Optional) GEMM reshape info. If is_interleaved_transposed = true, this object must contain the information to understand how @p lhs and @p rhs have been reshaped - */ - void configure(const ITensorInfo *lhs, const ITensorInfo *rhs, ITensorInfo *dst, float alpha, bool is_interleaved, const GEMMReshapeInfo &reshape_info = GEMMReshapeInfo()); - /** Static function to check if given info will lead to a valid configuration of @ref CpuGemmMatrixMultiplyKernel - * - * Similar to @ref CpuGemmMatrixMultiplyKernel::configure() - * - * @return a status - */ - static Status validate(const ITensorInfo *lhs, const ITensorInfo *rhs, const ITensorInfo *dst, float alpha, bool is_interleaved, const GEMMReshapeInfo &reshape_info); - - // Inherited methods overridden: - void run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) override; - const char *name() const override; - -private: - /** Common signature for all the matrix multiply functions - * - * @param[in] lhs Left-handside input tensor. Data types supported: F16/F32 - * @param[in] rhs Right-handside input tensor. Data types supported: same as @p lhs - * @param[out] dst The output tensor. Data type supported: same as @p rhs - * @param[in] window Region on which to execute the kernel. - * @param[in] info Thread info metadata. - * @param[in] alpha Weight of the matrix product. - */ - using GemmFunctionPtr = void(const ITensor *lhs, const ITensor *rhs, ITensor *dst, const Window &window, const ThreadInfo &info, float alpha); - /** Matrix multiply function to use for the particular tensor types passed to configure() */ - GemmFunctionPtr *_func{ nullptr }; - float _alpha{ 1.f }; -}; -} // namespace kernels -} // namespace cpu -} // namespace arm_compute -#endif /* ARM_COMPUTE_CPU_GEMM_MATRIX_MULTIPLY_KERNEL_H */ |