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Diffstat (limited to 'src/core/NEON/kernels/NEGEMMMatrixMultiplyKernel.h')
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1 files changed, 0 insertions, 94 deletions
diff --git a/src/core/NEON/kernels/NEGEMMMatrixMultiplyKernel.h b/src/core/NEON/kernels/NEGEMMMatrixMultiplyKernel.h deleted file mode 100644 index 3bc162a1b4..0000000000 --- a/src/core/NEON/kernels/NEGEMMMatrixMultiplyKernel.h +++ /dev/null @@ -1,94 +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_NEGEMMMATRIXMULTIPLYKERNEL_H -#define ARM_COMPUTE_NEGEMMMATRIXMULTIPLYKERNEL_H - -#include "src/core/NEON/INEKernel.h" - -namespace arm_compute -{ -class ITensor; - -/** 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 input0 and @p input1 are both matrices and reshaped respectively with @ref NEGEMMInterleave4x4Kernel" and @ref NEGEMMTranspose1xWKernel - * @note If the output tensor is a vector and the data type is F32, the implementation assumes that the first input tensor @p input0 is a vector and the second input tensor @p input1 a matrix. The implementation also assumes that both tensors have not been reshaped - * - */ -class NEGEMMMatrixMultiplyKernel : public INEKernel -{ -public: - const char *name() const override - { - return "NEGEMMMatrixMultiplyKernel"; - } - /** Constructor */ - NEGEMMMatrixMultiplyKernel(); - /** Prevent instances of this class from being copied (As this class contains pointers) */ - NEGEMMMatrixMultiplyKernel(const NEGEMMMatrixMultiplyKernel &) = delete; - /** Prevent instances of this class from being copied (As this class contains pointers) */ - NEGEMMMatrixMultiplyKernel &operator=(const NEGEMMMatrixMultiplyKernel &) = delete; - /** Allow instances of this class to be moved */ - NEGEMMMatrixMultiplyKernel(NEGEMMMatrixMultiplyKernel &&) = default; - /** Allow instances of this class to be moved */ - NEGEMMMatrixMultiplyKernel &operator=(NEGEMMMatrixMultiplyKernel &&) = default; - /** Initialise the kernel's input and output. - * - * @note If the output tensor is a matrix, the input matrices @p input0 and @p input1 should be the output of the kernels: @ref NEGEMMInterleave4x4Kernel and @ref NEGEMMTranspose1xWKernel - * These two kernels change the layout of the original matrices to be more cache-friendly. - * - * @param[in] input0 Input tensor containing the interleaved Matrix A or the vector A. Data types supported: F16/F32 - * @param[in] input1 Input tensor containing the transposed Matrix B if the first input tensor A is not a vector. - * If the output tensor is a vector, input1 must contain the matrix B not reshaped. Data type supported: same as @p input0 - * @param[out] output Output tensor to store the result of matrix multiplication. Data type supported: same as @p input0. - * @param[in] alpha Weight of the matrix product - * @param[in] is_interleaved (Optional) True if input0 and input1 have been reshaped respectively using @ref NEGEMMInterleave4x4Kernel and @ref NEGEMMTranspose1xWKernel - * @param[in] reshape_info (Optional) GEMM reshape info. If is_interleaved_transposed = true, this object must contain the information to understand how the matrix A and matrix B have been reshaped - */ - void configure(const ITensor *input0, const ITensor *input1, ITensor *output, 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 NEGEMMMatrixMultiplyKernel - * - * @param[in] input0 Input tensor containing the interleaved Matrix A or the vector A. Data types supported: F16/F32 - * @param[in] input1 Input tensor containing the transposed Matrix B if the first input tensor A is not a vector. - * If the output tensor is a vector, input1 must contain the matrix B not reshaped. Data type supported: same as @p input0 - * @param[in] output Output tensor to store the result of matrix multiplication. Data type supported: same as @p input0. - * @param[in] alpha Weight of the matrix product - * @param[in] is_interleaved (Optional) True if input0 and input1 have been reshaped respectively using @ref NEGEMMInterleave4x4Kernel and @ref NEGEMMTranspose1xWKernel - * @param[in] reshape_info (Optional) GEMM reshape info. If is_interleaved_transposed = true, this object must contain the information to understand how the matrix A and matrix B have been reshaped - * - * @return a status - */ - static Status validate(const ITensorInfo *input0, const ITensorInfo *input1, const ITensorInfo *output, float alpha, bool is_interleaved, const GEMMReshapeInfo &reshape_info); - - // Inherited methods overridden: - void run(const Window &window, const ThreadInfo &info) override; - -private: - const ITensor *_input0; - const ITensor *_input1; - ITensor *_output; - float _alpha; -}; -} // namespace arm_compute -#endif /*ARM_COMPUTE_NEGEMMMATRIXMULTIPLYKERNEL_H*/ |