/* * Copyright (c) 2023 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 ACL_SRC_RUNTIME_HEURISTICS_MATMUL_NATIVE_ICLMATMULNATIVEKERNELVARIANT_H #define ACL_SRC_RUNTIME_HEURISTICS_MATMUL_NATIVE_ICLMATMULNATIVEKERNELVARIANT_H #include "arm_compute/core/CoreTypes.h" // DataType #include "arm_compute/core/GPUTarget.h" #include "arm_compute/core/ITensorInfo.h" #include "arm_compute/function_info/ActivationLayerInfo.h" #include "arm_compute/function_info/MatMulInfo.h" #include "src/core/common/Macros.h" #include namespace arm_compute { namespace cl_matmul { enum class MatMulKernelType { /** Native matrix multiplication for FP types */ NATIVE_FP, /** Native matrix multiplication for quantized types */ NATIVE_QUANTIZED, /** Native matrix multiplication using MMUL extension for FP types */ NATIVE_MMUL_FP, /** Native matrix multiplication using MMUL extension for Quantized types */ NATIVE_MMUL_QUANTIZED }; /** Basic container for the OpenCL MatMul Native variant functions */ template class ClMatMulNativeVariantArray { public: /** Alias for Float index */ static constexpr size_t DT_FLOAT = 0; /** Alias for Quantized type index */ static constexpr size_t DT_QUANTIZED = 1; /** Constructor * * @param[in] func_float Function to call for matmul native float (F32, F16) * @param[in] func_quantized Function to call for matmul native quantized (QASYMM8, QASYMM8_SIGNED, QSYMM8_PER_CHANNEL) * */ ClMatMulNativeVariantArray(T func_float, T func_quantized) : _configs{func_float, func_quantized} { } /** Method to return the matmul native variant function based on data type * * @param[in] data_type Input data type * * @return the valid function otherwise it returns nullptr if the data type is not valid */ T get_function(DataType data_type) { switch (data_type) { case DataType::F32: case DataType::F16: return _configs.at(DT_FLOAT); case DataType::QASYMM8: case DataType::QASYMM8_SIGNED: case DataType::QSYMM8_PER_CHANNEL: return _configs.at(DT_QUANTIZED); default: return nullptr; } } private: std::array _configs; }; /** Basic interface for the matmul native kernel variant * This is the base class that chooses architecture specific kernel variants. */ class IClMatMulNativeKernelVariant { public: /** Constructor * * @param[in] arch GPU target */ IClMatMulNativeKernelVariant(GPUTarget arch) : _target(arch) { } ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(IClMatMulNativeKernelVariant); /** Virtual destructor */ virtual ~IClMatMulNativeKernelVariant() = default; /** This method returns the @ref MatMulKernelType for the given inputs * * @param[in] lhs LHS tensor * @param[in] rhs RHS tensor * @param[in] info MatMul info * @param[in] act_info Activation layer info */ virtual MatMulKernelType select_kernel(const ITensorInfo *lhs, const ITensorInfo *rhs, const MatMulInfo &info, const ActivationLayerInfo &act_info) = 0; protected: GPUTarget _target; }; } // namespace cl_matmul } // namespace arm_compute #endif // ACL_SRC_RUNTIME_HEURISTICS_MATMUL_NATIVE_ICLMATMULNATIVEKERNELVARIANT_H