


'''simple docstring'''
# Copyright 2023 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.

from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCAmelCase_			:  Optional[int]										=   {
    'configuration_xmod': [
        'XMOD_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'XmodConfig',
        'XmodOnnxConfig',
    ],
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 UpperCAmelCase_			:  str										=   [
     'XMOD_PRETRAINED_MODEL_ARCHIVE_LIST',
     'XmodForCausalLM',
     'XmodForMaskedLM',
     'XmodForMultipleChoice',
     'XmodForQuestionAnswering',
     'XmodForSequenceClassification',
     'XmodForTokenClassification',
     'XmodModel',
     'XmodPreTrainedModel',
 ]

if TYPE_CHECKING:
 from .configuration_xmod import XMOD_PRETRAINED_CONFIG_ARCHIVE_MAP, XmodConfig, XmodOnnxConfig

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_xmod import (
      XMOD_PRETRAINED_MODEL_ARCHIVE_LIST,
      XmodForCausalLM,
      XmodForMaskedLM,
      XmodForMultipleChoice,
      XmodForQuestionAnswering,
      XmodForSequenceClassification,
      XmodForTokenClassification,
      XmodModel,
      XmodPreTrainedModel,
  )

else:
 import sys

 UpperCAmelCase_			:  int										=   _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)










'''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.

from argparse import ArgumentParser

from accelerate.commands.config import get_config_parser
from accelerate.commands.env import env_command_parser
from accelerate.commands.launch import launch_command_parser
from accelerate.commands.test import test_command_parser
from accelerate.commands.tpu import tpu_command_parser


def       _lowercase							(					):
 __A	:		Dict	  =      ArgumentParser('Accelerate CLI tool',					usage='accelerate <command> [<args>]',					allow_abbrev=UpperCamelCase__      )
 __A	:		Any	  =      parser.add_subparsers(help='accelerate command helpers'      )

 # Register commands
 get_config_parser(subparsers=UpperCamelCase__      )
 env_command_parser(subparsers=UpperCamelCase__      )
 launch_command_parser(subparsers=UpperCamelCase__      )
 tpu_command_parser(subparsers=UpperCamelCase__      )
 test_command_parser(subparsers=UpperCamelCase__      )

 # Let's go
 __A	:		Optional[Any]	  =      parser.parse_args()

 if not hasattr(UpperCamelCase__,					'func'      ):
  parser.print_help()
  exit(1      )

 # Run
 args.func(UpperCamelCase__      )


if __name__ == "__main__":
 main()






