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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()
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