





# 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 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE=None				)							-> int:




    """simple docstring"""




    if subparsers is not None:
        _A     =							subparsers.add_parser('env'				)
    else:
        _A     =							argparse.ArgumentParser('Accelerate env command'				)

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

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





def 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE				)							-> Union[str, Any]:




    """simple docstring"""




    _A     =							torch.__version__
    _A     =							torch.cuda.is_available()
    _A     =							is_xpu_available()
    _A     =							is_npu_available()

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

    _A     =							{
        '`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(_SCREAMING_SNAKE_CASE				),
        'PyTorch NPU available': str(_SCREAMING_SNAKE_CASE				),
        'System RAM': F"{psutil.virtual_memory().total / 1_024 ** 3:.2f} GB",
    }
    if pt_cuda_available:
        _A     =							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:'				)
    _A     =							(
        '\n'.join([F"\t- {prop}: {val}" for prop, val in accelerate_config.items()]				)
        if isinstance(_SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE				)
        else F"\t{accelerate_config}"
    )
    print(_SCREAMING_SNAKE_CASE				)

    _A     =							accelerate_config

    return info





def 				__lowerCAmelCase(       )							-> int:




    """simple docstring"""




    _A     =							env_command_parser()
    _A     =							parser.parse_args()
    env_command(_SCREAMING_SNAKE_CASE				)
    return 0


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












# 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 subprocess

from packaging.version import Version, parse

from accelerate.commands.config.config_args import default_config_file, load_config_from_file


__A							:			Optional[int]         =			"Run commands across TPU VMs for initial setup before running `accelerate launch`."





def 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE=None				)							-> str:




    """simple docstring"""




    if subparsers is not None:
        _A     =							subparsers.add_parser('tpu-config'							,     description=_description				)
    else:
        _A     =							argparse.ArgumentParser('Accelerate tpu-config command'							,     description=_description				)
    # Core arguments
    _A     =							parser.add_argument_group(
        'Config Arguments'							,     'Arguments that can be configured through `accelerate config`.'				)
    config_args.add_argument(
        '--config_file'							,     type=_SCREAMING_SNAKE_CASE							,     default=_SCREAMING_SNAKE_CASE							,     help='Path to the config file to use for accelerate.'							,     )
    config_args.add_argument(
        '--tpu_name'							,     default=_SCREAMING_SNAKE_CASE							,     help='The name of the TPU to use. If not specified, will use the TPU specified in the config file.'							,     )
    config_args.add_argument(
        '--tpu_zone'							,     default=_SCREAMING_SNAKE_CASE							,     help='The zone of the TPU to use. If not specified, will use the zone specified in the config file.'							,     )
    _A     =							parser.add_argument_group('TPU Arguments'							,     'Arguments for options ran inside the TPU.'				)
    pod_args.add_argument(
        '--use_alpha'							,     action='store_true'							,     help='Whether to use `gcloud alpha` when running the TPU training script instead of `gcloud`.'							,     )
    pod_args.add_argument(
        '--command_file'							,     default=_SCREAMING_SNAKE_CASE							,     help='The path to the file containing the commands to run on the pod on startup.'							,     )
    pod_args.add_argument(
        '--command'							,     action='append'							,     nargs='+'							,     help='A command to run on the pod. Can be passed multiple times.'							,     )
    pod_args.add_argument(
        '--install_accelerate'							,     action='store_true'							,     help='Whether to install accelerate on the pod. Defaults to False.'							,     )
    pod_args.add_argument(
        '--accelerate_version'							,     default='latest'							,     help='The version of accelerate to install on the pod. If not specified, will use the latest pypi version. Specify \'dev\' to install from GitHub.'							,     )
    pod_args.add_argument(
        '--debug'							,     action='store_true'							,     help='If set, will print the command that would be run instead of running it.'				)

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





def 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE				)							-> int:




    """simple docstring"""




    _A     =							None

    # Get the default from the config file if it exists.
    if args.config_file is not None or os.path.isfile(_SCREAMING_SNAKE_CASE				):
        _A     =							load_config_from_file(args.config_file				)
        if not args.command_file and defaults.command_file is not None and not args.command:
            _A     =							defaults.command_file
        if not args.command and defaults.commands is not None:
            _A     =							defaults.commands
        if not args.tpu_name:
            _A     =							defaults.tpu_name
        if not args.tpu_zone:
            _A     =							defaults.tpu_zone
    if args.accelerate_version == "dev":
        _A     =							'git+https://github.com/huggingface/accelerate.git'
    elif args.accelerate_version == "latest":
        _A     =							'accelerate -U'
    elif isinstance(parse(args.accelerate_version				)							,     _SCREAMING_SNAKE_CASE				):
        _A     =							F"accelerate=={args.accelerate_version}"

    if not args.command_file and not args.command:
        raise ValueError('You must specify either a command file or a command to run on the pod.'				)

    if args.command_file:
        with open(args.command_file							,     'r'				) as f:
            _A     =							[f.read().splitlines()]

    # To turn list of lists into list of strings
    if isinstance(args.command[0]							,     _SCREAMING_SNAKE_CASE				):
        _A     =							[line for cmd in args.command for line in cmd]
    # Default to the shared folder and install accelerate
    _A     =							['cd /usr/share']
    if args.install_accelerate:
        new_cmd += [F"pip install {args.accelerate_version}"]
    new_cmd += args.command
    _A     =							'; '.join(_SCREAMING_SNAKE_CASE				)

    # Then send it to gcloud
    # Eventually try to use google-api-core to do this instead of subprocess
    _A     =							['gcloud']
    if args.use_alpha:
        cmd += ["alpha"]
    cmd += [
        "compute",
        "tpus",
        "tpu-vm",
        "ssh",
        args.tpu_name,
        "--zone",
        args.tpu_zone,
        "--command",
        args.command,
        "--worker",
        "all",
    ]
    if args.debug:
        print(F"Running {' '.join(_SCREAMING_SNAKE_CASE				)}"				)
        return
    subprocess.run(_SCREAMING_SNAKE_CASE				)
    print('Successfully setup pod.'				)





def 				__lowerCAmelCase(       )							-> Tuple:




    """simple docstring"""




    _A     =							tpu_command_parser()
    _A     =							parser.parse_args()

    tpu_command_launcher(_SCREAMING_SNAKE_CASE				)





