




'''simple docstring'''
import json
import logging
import os
import subprocess
from argparse import ArgumentParser


lowerCAmelCase  =				logging.getLogger(__name__)

def 				lowerCamelCase_   (   )				->  str:







     """simple docstring"""
     _A				=       ArgumentParser()
     _A				=       parser.parse_known_args()
     for arg in unknown:
          if arg.startswith(('-', '--')		):
               parser.add_argument(arg.split('='		)[0]		)

     return parser.parse_args()

def 				lowerCamelCase_   (   )				->  Tuple:







     """simple docstring"""
     _A				=       parse_args()
     _A				=       8_8_8_8
     _A				=       int(os.environ['SM_NUM_GPUS']		)
     _A				=       json.loads(os.environ['SM_HOSTS']		)
     _A				=       len(lowercase_		)
     _A				=       os.environ['''SM_CURRENT_HOST''']
     _A				=       hosts.index(lowercase_		)
     _A				=       '''INFO'''

     if num_nodes > 1:
          _A				=       F'python -m torch.distributed.launch \\n                --nnodes={num_nodes}  \\n                --node_rank={rank}  \\n                --nproc_per_node={num_gpus}  \\n                --master_addr={hosts[0]}  \\n                --master_port={port} \\n                ./run_glue.py \\n                {"".join(["nested fstring" for parameter,value in args.__dict__.items()]		)}'
     else:
          _A				=       F'python -m torch.distributed.launch \\n            --nproc_per_node={num_gpus}  \\n            ./run_glue.py \\n            {"".join(["nested fstring" for parameter,value in args.__dict__.items()]		)}'
     try:
          subprocess.run(lowercase_       ,						shell=lowercase_		)
     except Exception as e:
          logger.info(lowercase_		)


if __name__ == "__main__":
    main()









'''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

# rely on isort to merge the imports
from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


lowerCAmelCase  =				{
    """configuration_convnextv2""": [
        """CONVNEXTV2_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """ConvNextV2Config""",
    ]
}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCAmelCase  =				[
        """CONVNEXTV2_PRETRAINED_MODEL_ARCHIVE_LIST""",
        """ConvNextV2ForImageClassification""",
        """ConvNextV2Model""",
        """ConvNextV2PreTrainedModel""",
        """ConvNextV2Backbone""",
    ]


if TYPE_CHECKING:
    from .configuration_convnextva import (
        CONVNEXTV2_PRETRAINED_CONFIG_ARCHIVE_MAP,
        ConvNextVaConfig,
    )

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_convnextva import (
            CONVNEXTV2_PRETRAINED_MODEL_ARCHIVE_LIST,
            ConvNextVaBackbone,
            ConvNextVaForImageClassification,
            ConvNextVaModel,
            ConvNextVaPreTrainedModel,
        )

else:
    import sys

    lowerCAmelCase  =				_LazyModule(__name__, globals()["""__file__"""], _import_structure)





