

import inspect
import os
import unittest

import torch

import accelerate
from accelerate import debug_launcher
from accelerate.test_utils import (
    execute_subprocess_async,
    require_cpu,
    require_multi_gpu,
    require_single_gpu,
    test_sync,
)
from accelerate.utils import patch_environment







class 							a__							( unittest.TestCase							):







  """simple docstring"""




  def 			_lowercase   (      self     :			List[str]		)       ->str:
        """simple docstring"""







        SCREAMING_SNAKE_CASE			:   Optional[int]	  = inspect.getfile(accelerate.test_utils		)
        SCREAMING_SNAKE_CASE			:   int	  = os.path.sep.join(mod_file.split(os.path.sep		)[:-1] + ["""scripts""", """test_sync.py"""]		)


  @require_cpu
  def 			_lowercase   (      self     :			Tuple		)       ->Optional[int]:
        """simple docstring"""







        debug_launcher(test_sync.main					,					num_processes=1		)


  @require_cpu
  def 			_lowercase   (      self     :			Any		)       ->Optional[Any]:
        """simple docstring"""







        debug_launcher(test_sync.main		)


  @require_single_gpu
  def 			_lowercase   (      self     :			List[str]		)       ->Optional[int]:
        """simple docstring"""







        test_sync.main()




  @require_multi_gpu
  def 			_lowercase   (      self     :			Union[str, Any]		)       ->List[Any]:
        """simple docstring"""







        print(f"Found {torch.cuda.device_count()} devices."		)
        SCREAMING_SNAKE_CASE			:   Tuple	  = ["""torchrun""", f"--nproc_per_node={torch.cuda.device_count()}", self.test_file_path]
        with patch_environment(omp_num_threads=1		):
              execute_subprocess_async(UpperCAmelCase__					,					env=os.environ.copy()		)







from typing import TYPE_CHECKING

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


UpperCAmelCase__			:  Dict					     =     {"""configuration_hubert""": ["""HUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """HubertConfig"""]}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCAmelCase__			:  Union[str, Any]					     =     [
      """HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """HubertForCTC""",
      """HubertForSequenceClassification""",
      """HubertModel""",
      """HubertPreTrainedModel""",
  ]


try:
  if not is_tf_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCAmelCase__			:  List[Any]					     =     [
      """TF_HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """TFHubertForCTC""",
      """TFHubertModel""",
      """TFHubertPreTrainedModel""",
  ]

if TYPE_CHECKING:
  from .configuration_hubert import HUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, HubertConfig

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_hubert import (
        HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
        HubertForCTC,
        HubertForSequenceClassification,
        HubertModel,
        HubertPreTrainedModel,
    )

  try:
    if not is_tf_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_tf_hubert import (
        TF_HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
        TFHubertForCTC,
        TFHubertModel,
        TFHubertPreTrainedModel,
    )


else:
  import sys

  UpperCAmelCase__			:  str					     =     _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)




