/******************************************************************************* * * MIT License * * Copyright (c) 2021 Advanced Micro Devices, Inc. * * 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 MIOPEN_INPUT_FLAGS_HPP_ #define MIOPEN_INPUT_FLAGS_HPP_ #include #include #include #include struct Input { std::string long_name; char short_name; std::string value; std::string help_text; std::string type; bool convert2uppercase; }; struct TensorParameters { std::vector lengths = {}; std::vector strides = {}; std::string layout = ""; TensorParameters FillMissing(const TensorParameters& other) const { return { (lengths.empty() ? other.lengths : lengths), (strides.empty() ? other.strides : strides), (layout.empty() ? other.layout : layout), }; } int SetTensordDescriptor(miopenTensorDescriptor_t result, miopenDataType_t data_type); void CalculateStrides(); }; struct TensorParametersUint64 { std::vector lengths = {}; std::vector strides = {}; std::string layout = ""; TensorParametersUint64 FillMissing(const TensorParametersUint64& other) const { return { (lengths.empty() ? other.lengths : lengths), (strides.empty() ? other.strides : strides), (layout.empty() ? other.layout : layout), }; } uint64_t SetTensordDescriptor(miopenTensorDescriptor_t result, miopenDataType_t data_type); void CalculateStrides(); }; class InputFlags { std::map MapInputs; public: InputFlags(); void AddInputFlag(const std::string& _long_name, char _short_name, const std::string& _value, const std::string& _help_text, const std::string& type, bool _convert2uppercase = false); void AddTensorFlag(const std::string& name, char short_name, const std::string& default_value, const std::string& default_desc = ""); void Parse(int argc, char* argv[]); char FindShortName(const std::string& _long_name) const; [[noreturn]] void Print() const; std::string GetValueStr(const std::string& _long_name) const; int GetValueInt(const std::string& _long_name) const; uint64_t GetValueUint64(const std::string& _long_name) const; double GetValueDouble(const std::string& _long_name) const; TensorParameters GetValueTensor(const std::string& long_name) const; TensorParametersUint64 GetValueTensorUint64(const std::string& long_name) const; std::vector GetValueVectorInt(const std::string& long_name) const; std::vector GetValueVectorUint64(const std::string& long_name) const; std::vector> GetValue2dVectorInt(const std::string& long_name) const; std::vector> GetValue2dVectorUint64(const std::string& long_name) const; void SetValue(const std::string& long_name, const std::string& new_value); void StoreOptionalFlagValue(char short_name, const std::string& input_value); virtual ~InputFlags() {} }; #endif //_MIOPEN_INPUT_FLAGS_HPP_