




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_huggingface_suite,
    require_multi_gpu,
    require_single_gpu,
)
from accelerate.utils import patch_environment




@require_huggingface_suite
class    __lowerCAmelCase       (							unittest.TestCase):






							def 					SCREAMING_SNAKE_CASE    (   self:					List[str]				):
									lowercase    :List[str]      	=						inspect.getfile(accelerate.test_utils				)
									lowercase    :List[Any]      	=						os.path.sep.join(
									    mod_file.split(os.path.sep				)[:-1] + ["scripts", "external_deps", "test_metrics.py"]				)

									from accelerate.test_utils.scripts.external_deps import test_metrics  # noqa: F401

									lowercase    :str      	=						test_metrics






							@require_cpu
							def 					SCREAMING_SNAKE_CASE    (   self:					Tuple				):
									debug_launcher(self.test_metrics.main       ,					num_processes=1				)






							@require_cpu
							def 					SCREAMING_SNAKE_CASE    (   self:					int				):
									debug_launcher(self.test_metrics.main				)






							@require_single_gpu
							def 					SCREAMING_SNAKE_CASE    (   self:					List[Any]				):
									self.test_metrics.main()






							@require_multi_gpu
							def 					SCREAMING_SNAKE_CASE    (   self:					Optional[Any]				):
									print(F"Found {torch.cuda.device_count()} devices."				)
									lowercase    :str      	=						["torchrun", F"--nproc_per_node={torch.cuda.device_count()}", self.test_file_path]
									with patch_environment(omp_num_threads=1				):
											execute_subprocess_async(_lowerCAmelCase       ,					env=os.environ.copy()				)









from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_UpperCAmelCase	:						List[Any]			=     {
    "configuration_swinv2": ["SWINV2_PRETRAINED_CONFIG_ARCHIVE_MAP", "Swinv2Config"],
}


try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _UpperCAmelCase	:						Union[str, Any]			=     [
         "SWINV2_PRETRAINED_MODEL_ARCHIVE_LIST",
         "Swinv2ForImageClassification",
         "Swinv2ForMaskedImageModeling",
         "Swinv2Model",
         "Swinv2PreTrainedModel",
     ]


if TYPE_CHECKING:
     from .configuration_swinva import SWINV2_PRETRAINED_CONFIG_ARCHIVE_MAP, SwinvaConfig

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_swinva import (
              SWINV2_PRETRAINED_MODEL_ARCHIVE_LIST,
              SwinvaForImageClassification,
              SwinvaForMaskedImageModeling,
              SwinvaModel,
              SwinvaPreTrainedModel,
          )


else:
     import sys

     _UpperCAmelCase	:						Tuple			=     _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)



