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| #!/usr/bin/env python | |
| # Copyright 2021 The HuggingFace Team. 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. | |
| import argparse | |
| import os | |
| from accelerate.utils import ComputeEnvironment | |
| from .cluster import get_cluster_input | |
| from .config_args import cache_dir, default_config_file, default_yaml_config_file, load_config_from_file # noqa: F401 | |
| from .config_utils import _ask_field, _ask_options, _convert_compute_environment # noqa: F401 | |
| from .sagemaker import get_sagemaker_input | |
| description = "Launches a series of prompts to create and save a `default_config.yaml` configuration file for your training system. Should always be ran first on your machine" | |
| def get_user_input(): | |
| compute_environment = _ask_options( | |
| "In which compute environment are you running?", | |
| ["This machine", "AWS (Amazon SageMaker)"], | |
| _convert_compute_environment, | |
| ) | |
| if compute_environment == ComputeEnvironment.AMAZON_SAGEMAKER: | |
| config = get_sagemaker_input() | |
| else: | |
| config = get_cluster_input() | |
| return config | |
| def config_command_parser(subparsers=None): | |
| if subparsers is not None: | |
| parser = subparsers.add_parser("config", description=description) | |
| else: | |
| parser = argparse.ArgumentParser("Accelerate config command", description=description) | |
| parser.add_argument( | |
| "--config_file", | |
| default=None, | |
| help=( | |
| "The path to use to store the config file. Will default to a file named default_config.yaml in the cache " | |
| "location, which is the content of the environment `HF_HOME` suffixed with 'accelerate', or if you don't have " | |
| "such an environment variable, your cache directory ('~/.cache' or the content of `XDG_CACHE_HOME`) suffixed " | |
| "with 'huggingface'." | |
| ), | |
| ) | |
| if subparsers is not None: | |
| parser.set_defaults(func=config_command) | |
| return parser | |
| def config_command(args): | |
| config = get_user_input() | |
| if args.config_file is not None: | |
| config_file = args.config_file | |
| else: | |
| if not os.path.isdir(cache_dir): | |
| os.makedirs(cache_dir) | |
| config_file = default_yaml_config_file | |
| if config_file.endswith(".json"): | |
| config.to_json_file(config_file) | |
| else: | |
| config.to_yaml_file(config_file) | |
| print(f"accelerate configuration saved at {config_file}") | |
| def main(): | |
| parser = config_command_parser() | |
| args = parser.parse_args() | |
| config_command(args) | |
| if __name__ == "__main__": | |
| main() | |