


"""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   ):





				"""simple docstring"""







				def   lowerCAmelCase__		(						self     ):
								SCREAMING_SNAKE_CASE__     							=				inspect.getfile(accelerate.test_utils     )
								SCREAMING_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

								SCREAMING_SNAKE_CASE__     							=				test_metrics



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



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



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






				@require_multi_gpu
				def   lowerCAmelCase__		(						self     ):
								print(f'''Found {torch.cuda.device_count()} devices.'''     )
								SCREAMING_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(UpperCAmelCase__       ,		env=os.environ.copy()     )




"""simple docstring"""






from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_lowerCamelCase     =  {
    'configuration_autoformer': [
        'AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'AutoformerConfig',
    ],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	_lowerCamelCase     =  [
	    'AUTOFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
	    'AutoformerForPrediction',
	    'AutoformerModel',
	    'AutoformerPreTrainedModel',
	]


if TYPE_CHECKING:
	from .configuration_autoformer import (
	    AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
	    AutoformerConfig,
	)

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_autoformer import (
		    AUTOFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
		    AutoformerForPrediction,
		    AutoformerModel,
		    AutoformerPreTrainedModel,
		)

else:
	import sys

	_lowerCamelCase     =  _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
