# # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved. # # 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. # from polygraphy import mod @mod.export() def main(run_opts = None): """ The Polygraphy CLI Toolkit Includes various subtools that can assist with prototyping and debugging inference with deep learning models. See the help output for details. """ import argparse import sys import time import polygraphy from polygraphy.exception import PolygraphyException from polygraphy.logger import G_LOGGER from polygraphy.tools.registry import TOOL_REGISTRY start_time = time.time() cmd = f"{' '.join(sys.argv)}" parser = argparse.ArgumentParser( description="Polygraphy: A Deep Learning Debugging Toolkit", formatter_class=argparse.RawDescriptionHelpFormatter, ) parser.add_argument( "-v", "--version", action="version", version=G_LOGGER._str_from_module_info(polygraphy, name="Polygraphy") ) subparsers = parser.add_subparsers(title="Tools", dest="tools") subparsers.required = True for tool in TOOL_REGISTRY: tool.setup_parser(subparsers) if run_opts is not None: args, unknown = parser.parse_known_args(run_opts) else: args, unknown = parser.parse_known_args() if unknown: G_LOGGER.error(f"Unrecognized Options: {unknown}") return 1 selected_tool = args.subcommand show_start_end_logging = False try: selected_tool.parse(args) show_start_end_logging = selected_tool.show_start_end_logging(args) if show_start_end_logging: G_LOGGER.start(f"RUNNING | Command: {cmd}") status = selected_tool.run(args) except PolygraphyException: # `PolygraphyException`s indicate user error, so we need not display the stack trace. status = 1 end_time = time.time() if show_start_end_logging: log_func = G_LOGGER.finish if status == 0 else G_LOGGER.error log_func(f"{'PASSED' if status == 0 else 'FAILED'} | Runtime: {end_time - start_time:.3f}s | Command: {cmd}") return status