"""simple docstring"""






# Copyright 2022 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
import platform

import numpy as np
import psutil
import torch

from accelerate import __version__ as version
from accelerate.commands.config import default_config_file, load_config_from_file

from ..utils import is_npu_available, is_xpu_available



def 						a_		(      lowerCamelCase=None ):
				if subparsers is not None:
								UpperCAmelCase__    =							subparsers.add_parser('env' )
				else:
								UpperCAmelCase__    =							argparse.ArgumentParser('Accelerate env command' )

				parser.add_argument(
				    '--config_file'      ,    default=lowerCamelCase      ,    help='The config file to use for the default values in the launching script.' )

				if subparsers is not None:
								parser.set_defaults(func=lowerCamelCase )
				return parser



def 						a_		(      lowerCamelCase ):
				UpperCAmelCase__    =							torch.__version__
				UpperCAmelCase__    =							torch.cuda.is_available()
				UpperCAmelCase__    =							is_xpu_available()
				UpperCAmelCase__    =							is_npu_available()

				UpperCAmelCase__    =							'Not found'
				# Get the default from the config file.
				if args.config_file is not None or os.path.isfile(lowerCamelCase ):
								UpperCAmelCase__    =							load_config_from_file(args.config_file ).to_dict()

				UpperCAmelCase__    =							{
				    '`Accelerate` version': version,
				    'Platform': platform.platform(),
				    'Python version': platform.python_version(),
				    'Numpy version': np.__version__,
				    'PyTorch version (GPU?)': f'''{pt_version} ({pt_cuda_available})''',
				    'PyTorch XPU available': str(lowerCamelCase ),
				    'PyTorch NPU available': str(lowerCamelCase ),
				    'System RAM': f'''{psutil.virtual_memory().total / 1_0_2_4 ** 3:.2f} GB''',
				}
				if pt_cuda_available:
								UpperCAmelCase__    =							torch.cuda.get_device_name()

				print('\nCopy-and-paste the text below in your GitHub issue\n' )
				print('\n'.join([f'''- {prop}: {val}''' for prop, val in info.items()] ) )

				print('- `Accelerate` default config:' if args.config_file is None else '- `Accelerate` config passed:' )
				UpperCAmelCase__    =							(
				    '\n'.join([f'''\t- {prop}: {val}''' for prop, val in accelerate_config.items()] )
				    if isinstance(lowerCamelCase      ,    lowerCamelCase )
				    else f'''\t{accelerate_config}'''
				)
				print(lowerCamelCase )

				UpperCAmelCase__    =							accelerate_config

				return info



def 						a_		(      ):
				UpperCAmelCase__    =							env_command_parser()
				UpperCAmelCase__    =							parser.parse_args()
				env_command(lowerCamelCase )
				return 0


if __name__ == "__main__":
						raise SystemExit(main())




"""simple docstring"""






# 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


lowerCAmelCase__						:						Dict		  =			'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 						a_		(      ):
				UpperCAmelCase__    =							_ask_options(
				    'In which compute environment are you running?'      ,    ['This machine', 'AWS (Amazon SageMaker)']      ,    _convert_compute_environment      ,    )
				if compute_environment == ComputeEnvironment.AMAZON_SAGEMAKER:
								UpperCAmelCase__    =							get_sagemaker_input()
				else:
								UpperCAmelCase__    =							get_cluster_input()
				return config



def 						a_		(      lowerCamelCase=None ):
				if subparsers is not None:
								UpperCAmelCase__    =							subparsers.add_parser('config'      ,    description=lowerCamelCase )
				else:
								UpperCAmelCase__    =							argparse.ArgumentParser('Accelerate config command'      ,    description=lowerCamelCase )

				parser.add_argument(
				    '--config_file'      ,    default=lowerCamelCase      ,    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=lowerCamelCase )
				return parser



def 						a_		(      lowerCamelCase ):
				UpperCAmelCase__    =							get_user_input()
				if args.config_file is not None:
								UpperCAmelCase__    =							args.config_file
				else:
								if not os.path.isdir(lowerCamelCase ):
												os.makedirs(lowerCamelCase )
								UpperCAmelCase__    =							default_yaml_config_file

				if config_file.endswith('.json' ):
								config.to_json_file(lowerCamelCase )
				else:
								config.to_yaml_file(lowerCamelCase )
				print(f'''accelerate configuration saved at {config_file}''' )



def 						a_		(      ):
				UpperCAmelCase__    =							config_command_parser()
				UpperCAmelCase__    =							parser.parse_args()
				config_command(lowerCamelCase )


if __name__ == "__main__":
						main()



