import json
import logging
import os
import subprocess
from argparse import ArgumentParser


UpperCamelCase													=		logging.getLogger(__name__)

def     lowercase_       (    ):
    lowercase__				:     List[Any]					      =       ArgumentParser()
    lowercase__      ,     lowercase__				:     Dict					      =       parser.parse_known_args()
    for arg in unknown:
        if arg.startswith(("-", "--")):
            parser.add_argument(arg.split("=")[0])

    return parser.parse_args()

def     lowercase_       (    ):
    lowercase__				:     int					      =       parse_args()
    lowercase__				:     List[str]					      =       8888
    lowercase__				:     Tuple					      =       int(os.environ["SM_NUM_GPUS"])
    lowercase__				:     Optional[Any]					      =       json.loads(os.environ["SM_HOSTS"])
    lowercase__				:     str					      =       len(_lowerCamelCase)
    lowercase__				:     Any					      =       os.environ["SM_CURRENT_HOST"]
    lowercase__				:     Optional[Any]					      =       hosts.index(_lowerCamelCase)
    lowercase__				:     Optional[int]					      =       "INFO"

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


if __name__ == "__main__":
      main()




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


UpperCamelCase													=		{
    '''configuration_mobilenet_v1''': [
        '''MOBILENET_V1_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''MobileNetV1Config''',
        '''MobileNetV1OnnxConfig''',
    ],
}

try:
      if not is_vision_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      UpperCamelCase													=		['''MobileNetV1FeatureExtractor''']
      UpperCamelCase													=		['''MobileNetV1ImageProcessor''']

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      UpperCamelCase													=		[
          '''MOBILENET_V1_PRETRAINED_MODEL_ARCHIVE_LIST''',
          '''MobileNetV1ForImageClassification''',
          '''MobileNetV1Model''',
          '''MobileNetV1PreTrainedModel''',
          '''load_tf_weights_in_mobilenet_v1''',
      ]


if TYPE_CHECKING:
      from .configuration_mobilenet_va import (
          MOBILENET_V1_PRETRAINED_CONFIG_ARCHIVE_MAP,
          MobileNetVaConfig,
          MobileNetVaOnnxConfig,
      )

      try:
            if not is_vision_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .feature_extraction_mobilenet_va import MobileNetVaFeatureExtractor
            from .image_processing_mobilenet_va import MobileNetVaImageProcessor

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_mobilenet_va import (
                MOBILENET_V1_PRETRAINED_MODEL_ARCHIVE_LIST,
                MobileNetVaForImageClassification,
                MobileNetVaModel,
                MobileNetVaPreTrainedModel,
                load_tf_weights_in_mobilenet_va,
            )


else:
      import sys

      UpperCamelCase													=		_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)



