


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       __lowerCAmelCase       (	unittest.TestCase   ):






  """simple docstring"""





  def    lowerCAmelCase__					(       self    :    List[Any]					)				->	Union[str, Any]:




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



  @require_cpu
  def    lowerCAmelCase__					(       self    :    int					)				->	Optional[Any]:




     """simple docstring"""
     debug_launcher(test_sync.main      ,			num_processes=1					)



  @require_cpu
  def    lowerCAmelCase__					(       self    :    str					)				->	Any:




     """simple docstring"""
     debug_launcher(test_sync.main					)



  @require_single_gpu
  def    lowerCAmelCase__					(       self    :    List[str]					)				->	int:




     """simple docstring"""
     test_sync.main()



  @require_multi_gpu
  def    lowerCAmelCase__					(       self    :    Optional[Any]					)				->	List[Any]:




     """simple docstring"""
     print(F'''Found {torch.cuda.device_count()} devices.'''					)
     snake_case_         =   ["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 .prime_check import Test

Test()




