





'''simple docstring'''






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	:  Union[str, Any]       ):





											'''simple docstring'''





											_snake_case:   str  					=		inspect.getfile(accelerate.test_utils       )
											_snake_case:   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

											_snake_case:   str  					=		test_metrics


					@require_cpu
					def    SCREAMING_SNAKE_CASE_		(					self	:  int       ):





											'''simple docstring'''





											debug_launcher(self.test_metrics.main       ,     num_processes=1       )


					@require_cpu
					def    SCREAMING_SNAKE_CASE_		(					self	:  Union[str, Any]       ):





											'''simple docstring'''





											debug_launcher(self.test_metrics.main       )


					@require_single_gpu
					def    SCREAMING_SNAKE_CASE_		(					self	:  List[str]       ):





											'''simple docstring'''





											self.test_metrics.main()




					@require_multi_gpu
					def    SCREAMING_SNAKE_CASE_		(					self	:  List[Any]       ):





											'''simple docstring'''





											print(f'''Found {torch.cuda.device_count()} devices.'''       )
											_snake_case:   Optional[int]  					=		['torchrun', f'''--nproc_per_node={torch.cuda.device_count()}''', self.test_file_path]
											with patch_environment(omp_num_threads=1       ):
																	execute_subprocess_async(__snake_case       ,     env=os.environ.copy()       )












'''simple docstring'''






import torch





def       lowercase_      (		)   ->Dict:
						if torch.cuda.is_available():
												_snake_case:   Any  					=		torch.cuda.device_count()
						else:
												_snake_case:   Optional[int]  					=		0
						print(F'''Successfully ran on {num_gpus} GPUs'''						)


if __name__ == "__main__":
		main()





