





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 			UpperCamelCase_		(  unittest.TestCase					):




					def 	lowerCAmelCase			(		self  )		->							Dict:
										_snake_case									=				inspect.getfile(accelerate.test_utils  )
										_snake_case									=				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									=				test_metrics




					@require_cpu
					def 	lowerCAmelCase			(		self  )		->							Dict:
										debug_launcher(self.test_metrics.main				,						num_processes=1  )




					@require_cpu
					def 	lowerCAmelCase			(		self  )		->							List[Any]:
										debug_launcher(self.test_metrics.main  )




					@require_single_gpu
					def 	lowerCAmelCase			(		self  )		->							Dict:
										self.test_metrics.main()






					@require_multi_gpu
					def 	lowerCAmelCase			(		self  )		->							str:
										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 typing import TYPE_CHECKING

from ...utils import _LazyModule


UpperCAmelCase_      							=     {"""tokenization_byt5""": ["""ByT5Tokenizer"""]}


if TYPE_CHECKING:
					from .tokenization_byta import ByTaTokenizer
else:
					import sys

					UpperCAmelCase_      							=     _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)



