89 lines
3 KiB
Python
89 lines
3 KiB
Python
#!/usr/bin/env python
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# Copyright 2021 The HuggingFace Team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import argparse
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import os
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from accelerate.utils import ComputeEnvironment
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from .cluster import get_cluster_input
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from .config_args import cache_dir, default_config_file, default_yaml_config_file, load_config_from_file # noqa: F401
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from .config_utils import _ask_field, _ask_options, _convert_compute_environment # noqa: F401
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from .sagemaker import get_sagemaker_input
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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"
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def get_user_input():
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compute_environment = _ask_options(
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"In which compute environment are you running?",
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["This machine", "AWS (Amazon SageMaker)"],
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_convert_compute_environment,
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)
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if compute_environment == ComputeEnvironment.AMAZON_SAGEMAKER:
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config = get_sagemaker_input()
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else:
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config = get_cluster_input()
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return config
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def config_command_parser(subparsers=None):
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if subparsers is not None:
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parser = subparsers.add_parser("config", description=description)
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else:
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parser = argparse.ArgumentParser("Accelerate config command", description=description)
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parser.add_argument(
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"--config_file",
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default=None,
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help=(
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"The path to use to store the config file. Will default to a file named default_config.yaml in the cache "
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"location, which is the content of the environment `HF_HOME` suffixed with 'accelerate', or if you don't have "
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"such an environment variable, your cache directory ('~/.cache' or the content of `XDG_CACHE_HOME`) suffixed "
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"with 'huggingface'."
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),
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)
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if subparsers is not None:
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parser.set_defaults(func=config_command)
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return parser
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def config_command(args):
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config = get_user_input()
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if args.config_file is not None:
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config_file = args.config_file
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else:
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if not os.path.isdir(cache_dir):
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os.makedirs(cache_dir)
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config_file = default_yaml_config_file
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if config_file.endswith(".json"):
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config.to_json_file(config_file)
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else:
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config.to_yaml_file(config_file)
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print(f"accelerate configuration saved at {config_file}")
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def main():
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parser = config_command_parser()
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args = parser.parse_args()
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config_command(args)
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if __name__ == "__main__":
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main()
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