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Diffstat (limited to 'reference_model/src/command_line_utils.h')
| -rw-r--r-- | reference_model/src/command_line_utils.h | 101 |
1 files changed, 101 insertions, 0 deletions
diff --git a/reference_model/src/command_line_utils.h b/reference_model/src/command_line_utils.h new file mode 100644 index 0000000..1bd1639 --- /dev/null +++ b/reference_model/src/command_line_utils.h @@ -0,0 +1,101 @@ + +// Copyright (c) 2020-2022, ARM Limited. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#ifndef COMMAND_LINE_UTILS_H_ +#define COMMAND_LINE_UTILS_H_ + +#include "func_config.h" +#include "func_debug.h" + +#include <stdint.h> +#include <cxxopts.hpp> + +// Read the command line arguments +int func_model_parse_cmd_line( + func_config_t& func_config, func_debug_t& func_debug, int argc, char** argv, const char* version) +{ + try + { + cxxopts::Options options("tosa_reference_model", "The TOSA reference model"); + + // clang-format off + options.add_options() + ("operator_fbs", "Flat buffer schema file", cxxopts::value<std::string>(func_config.operator_fbs), "<schema>") + ("test_desc", "Json test descriptor", cxxopts::value<std::string>(func_config.test_desc), "<descriptor>") + ("flatbuffer_dir", "Flatbuffer directory to load. If not specified, it will be overwritten by dirname(test_desc)", + cxxopts::value<std::string>(func_config.flatbuffer_dir)) + ("output_dir", "Output directory to write. If not specified, it will be overwritten by dirname(test_desc)", + cxxopts::value<std::string>(func_config.output_dir)) + ("tosa_file", "Flatbuffer file. Support .json or .tosa. Specifying this will overwrite the one initialized by --test_desc.", + cxxopts::value<std::string>(func_config.tosa_file)) + ("ifm_name", "Input tensor name. Comma(,) separated. Specifying this will overwrite the one initialized by --test_desc.", + cxxopts::value<std::string>(func_config.ifm_name)) + ("ifm_file", "Input tensor numpy Comma(,) separated. file to initialize with placeholder. Specifying this will overwrite the one initialized by --test_desc.", + cxxopts::value<std::string>(func_config.ifm_file)) + ("ofm_name", "Output tensor name. Comma(,) seperated. Specifying this will overwrite the one initialized by --test_desc.", + cxxopts::value<std::string>(func_config.ofm_name)) + ("ofm_file", "Output tensor numpy file to be generated. Comma(,) seperated. Specifying this will overwrite the one initialized by --test_desc.", + cxxopts::value<std::string>(func_config.ofm_file)) + ("eval", "Evaluate the network (0/1)", cxxopts::value<uint32_t>(func_config.eval)) + ("fp_format", "Floating-point number dump format string (printf-style format, e.g. 0.5)", + cxxopts::value<std::string>(func_config.fp_format)) + ("validate_only", "Validate the network, but do not read inputs or evaluate (0/1)", + cxxopts::value<uint32_t>(func_config.validate_only)) + ("output_tensors", "Output tensors to a file (0/1)", cxxopts::value<uint32_t>(func_config.output_tensors)) + ("tosa_profile", "Set TOSA profile (0 = Base Inference, 1 = Main Inference, 2 = Main Training)", + cxxopts::value<uint32_t>(func_config.tosa_profile)) + ("dump_intermediates", "Dump intermediate tensors (0/1)", cxxopts::value<uint32_t>(func_config.dump_intermediates)) + ("v,version", "print model version") + ("i,input_tensor_file", "specify input tensor files", cxxopts::value<std::vector<std::string>>()) + ("l,loglevel", func_debug.get_debug_verbosity_help_string(), cxxopts::value<std::string>()) + ("o,logfile", "output log file", cxxopts::value<std::string>()) + ("d,debugmask", func_debug.get_debug_mask_help_string(), cxxopts::value<std::vector<std::string>>()) + ("h,help", "print help"); + // clang-format on + + auto result = options.parse(argc, argv); + if (result.count("help")) { + std::cout << options.help() << std::endl; + return 1; + } + if (result.count("debugmask")) { + auto& v = result["debugmask"].as<std::vector<std::string>>(); + for (const std::string& s : v) + func_debug.set_mask(s); + } + if (result.count("loglevel")) { + const std::string& levelstr = result["loglevel"].as<std::string>(); + func_debug.set_verbosity(levelstr); + } + if (result.count("logfile")) { + func_debug.set_file(result["logfile"].as<std::string>()); + } + if (result.count("input_tensor_file")) { + func_config.ifm_name = result["input_tensor_file"].as<std::string>(); + } + if (result.count("version")) { + std::cout << "Model version " << version << std::endl; + } + } + catch(const std::exception& e) + { + std::cerr << e.what() << '\n'; + return 1; + } + + return 0; +} + +#endif |