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Diffstat (limited to 'arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyKernel.h')
-rw-r--r-- | arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyKernel.h | 101 |
1 files changed, 0 insertions, 101 deletions
diff --git a/arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyKernel.h b/arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyKernel.h deleted file mode 100644 index e926f5ed36..0000000000 --- a/arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyKernel.h +++ /dev/null @@ -1,101 +0,0 @@ -/* - * Copyright (c) 2017-2020 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_CLGEMMLOWPMATRIXMULTIPLYKERNEL_H -#define ARM_COMPUTE_CLGEMMLOWPMATRIXMULTIPLYKERNEL_H - -#include "arm_compute/core/CL/ICLKernel.h" - -namespace arm_compute -{ -class ICLTensor; - -/** OpenCL kernel to multiply matrices - * - * @note This kernel should be used ONLY for Midgard architectures - * - * This kernel performs the following computation: - * - * -# Convert a values from int8 to int32 - * -# Convert b values from int8 to int32 - * -# Compute the int32 matrix product of the resulting a * b and store the result as int32 - * - */ -class CLGEMMLowpMatrixMultiplyKernel : public ICLKernel -{ -public: - /** Default Constructor */ - CLGEMMLowpMatrixMultiplyKernel(); - /** Prevent instances of this class from being copied (As this class contains pointers) */ - CLGEMMLowpMatrixMultiplyKernel(const CLGEMMLowpMatrixMultiplyKernel &) = delete; - /** Prevent instances of this class from being copied (As this class contains pointers) */ - CLGEMMLowpMatrixMultiplyKernel &operator=(const CLGEMMLowpMatrixMultiplyKernel &) = delete; - /** Allow instances of this class to be moved */ - CLGEMMLowpMatrixMultiplyKernel(CLGEMMLowpMatrixMultiplyKernel &&) = default; - /** Allow instances of this class to be moved */ - CLGEMMLowpMatrixMultiplyKernel &operator=(CLGEMMLowpMatrixMultiplyKernel &&) = default; - /** Initialise the kernel's input and output. - * - * @note This kernel should be used ONLY for Midgard architectures - * - * @param[in] input0 Input tensor containing the LHS matrix. Data type supported: QASYMM8 - * @param[in] input1 Input tensor containing the RHS matrix. Data type supported: same as @p input0 - * @param[out] output Output tensor to store the result of matrix multiplication. Data type supported: S32 - * @param[in] gemm_info (Optional) GEMM information used to retrieve the original dimensions of the input matrices - */ - void configure(const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output, const GEMMReshapeInfo &gemm_info = GEMMReshapeInfo()); - /** Initialise the kernel's input and output. - * - * @note This kernel should be used ONLY for Midgard architectures - * - * @param[in] compile_context The compile context to be used. - * @param[in] input0 Input tensor containing the LHS matrix. Data type supported: QASYMM8 - * @param[in] input1 Input tensor containing the RHS matrix. Data type supported: same as @p input0 - * @param[out] output Output tensor to store the result of matrix multiplication. Data type supported: S32 - * @param[in] gemm_info (Optional) GEMM information used to retrieve the original dimensions of the input matrices - */ - void configure(CLCompileContext &compile_context, const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output, const GEMMReshapeInfo &gemm_info = GEMMReshapeInfo()); - /** Static function to check if given info will lead to a valid configuration of @ref CLGEMMLowpMatrixMultiplyKernel - * - * @param[in] input0 Input tensor containing the LHS matrix. Data type supported: QASYMM8 - * @param[in] input1 Input tensor containing the RHS matrix. Data type supported: same as @p input0 - * @param[in] output Output tensor to store the result of matrix multiplication. Data type supported: S32 - * @param[in] gemm_info (Optional) GEMM information used to retrieve the original dimensions of the input matrices - * - * @return a status - */ - static Status validate(const ITensorInfo *input0, const ITensorInfo *input1, const ITensorInfo *output, const GEMMReshapeInfo &gemm_info = GEMMReshapeInfo()); - - // Inherited methods overridden: - void run(const Window &window, cl::CommandQueue &queue) override; - -private: - const ICLTensor *_input0; - const ICLTensor *_input1; - ICLTensor *_output; - bool _slide_matrix_b; - bool _reinterpret_input_as_3d; - bool _reinterpret_output_as_3d; -}; -} // namespace arm_compute -#endif /*ARM_COMPUTE_CLGEMMLOWPMATRIXMULTIPLYKERNEL_H*/ |