






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   ):





       """simple docstring"""







       def      _a       (   self				):
         UpperCamelCase_:   Optional[int]        =							inspect.getfile(accelerate.test_utils				)
         UpperCamelCase_:   Dict        =							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

         UpperCamelCase_:   Tuple        =							test_metrics





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





       @require_cpu
       def      _a       (   self				):
         debug_launcher(self.test_metrics.main				)





       @require_single_gpu
       def      _a       (   self				):
         self.test_metrics.main()





       @require_multi_gpu
       def      _a       (   self				):
         print(f'''Found {torch.cuda.device_count()} devices.'''				)
         UpperCamelCase_:   List[Any]        =							['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()				)





'''simple docstring'''


from typing import TYPE_CHECKING

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


lowerCAmelCase_      :  Dict				     =  {
    'configuration_graphormer': ['GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP', 'GraphormerConfig'],
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCAmelCase_      :  int				     =  [
     'GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
     'GraphormerForGraphClassification',
     'GraphormerModel',
     'GraphormerPreTrainedModel',
 ]


if TYPE_CHECKING:
 from .configuration_graphormer import GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, GraphormerConfig

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_graphormer import (
      GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
      GraphormerForGraphClassification,
      GraphormerModel,
      GraphormerPreTrainedModel,
  )


else:
 import sys

 lowerCAmelCase_      :  Tuple				     =  _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
