/* * Copyright (c) 2022 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 SRC_RUNTIME_HEURISTICS_INDIRECT_CONV_ICLINDIRECTCONVKERNELCONFIG #define SRC_RUNTIME_HEURISTICS_INDIRECT_CONV_ICLINDIRECTCONVKERNELCONFIG #include "arm_compute/core/GPUTarget.h" #include "arm_compute/core/KernelDescriptors.h" #include "arm_compute/core/Types.h" #include "src/core/common/Macros.h" namespace arm_compute { namespace cl_indirect_conv { /** Basic container for the OpenCL indirect convolution configuration functions */ template class ClIndirectConvConfigArray { public: /** Alias for F32 index */ static constexpr size_t DT_F32 = 0; /** Alias for F16 index */ static constexpr size_t DT_F16 = 1; /** Constructor * * @param[in] func_f32 Function to call for indirect convolution F32 * @param[in] func_f16 Function to call for indirect convolution F16 * */ ClIndirectConvConfigArray(T func_f32, T func_f16) : _configs{ func_f32, func_f16} { } /** Method to return the indirect convolution configuration 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: return _configs.at(DT_F32); case DataType::F16: return _configs.at(DT_F16); default: return nullptr; } } private: std::array _configs; }; /** Basic interface for the indirect convolution kernel configuration */ class IClIndirectConvKernelConfig { public: /** Constructor * * @param[in] arch GPU target */ IClIndirectConvKernelConfig(GPUTarget arch) : _target(arch) { } ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(IClIndirectConvKernelConfig); /** Virtual destructor */ virtual ~IClIndirectConvKernelConfig() = default; /** This method returns the @ref DirectConvComputeKernelInfo for the given inputs * * @param[in] src Source tensor (activation tensor) * @param[in] wei Weights tensor * @param[in] conv_info Convolution info */ virtual DirectConvComputeKernelInfo configure(const ITensorInfo *src, const ITensorInfo *wei, const PadStrideInfo &conv_info) = 0; protected: GPUTarget _target; }; } // namespace cl_indirect_conv } // namespace arm_compute #endif /* SRC_RUNTIME_HEURISTICS_INDIRECT_CONV_ICLINDIRECTCONVKERNELCONFIG */