


from dataclasses import dataclass, field
from typing import Tuple

from ..utils import cached_property, is_torch_available, is_torch_tpu_available, logging, requires_backends
from .benchmark_args_utils import BenchmarkArguments


if is_torch_available():
							import torch

if is_torch_tpu_available(check_device=False):
							import torch_xla.core.xla_model as xm


a					  =     logging.get_logger(__name__)







@dataclass
class        UpperCamelCase__   (	__magic_name__   ):
					__SCREAMING_SNAKE_CASE       :  int						=   [
					    'no_inference',
					    'no_cuda',
					    'no_tpu',
					    'no_speed',
					    'no_memory',
					    'no_env_print',
					    'no_multi_process',
					]

					def __init__(     self       :   List[Any]							,					**UpperCamelCase__       :   List[str]       ):






										'''simple docstring'''






										for deprecated_arg in self.deprecated_args:
															if deprecated_arg in kwargs:
																				lowercase_  							=			deprecated_arg[3:]
																				setattr(self							,					UpperCamelCase__							,					not kwargs.pop(UpperCamelCase__       )       )
																				logger.warning(
																				    F'''{deprecated_arg} is depreciated. Please use --no_{positive_arg} or'''
																				    F''' {positive_arg}={kwargs[positive_arg]}'''       )

										lowercase_  							=			kwargs.pop("""torchscript"""							,					self.torchscript       )
										lowercase_  							=			kwargs.pop("""torch_xla_tpu_print_metrics"""							,					self.torch_xla_tpu_print_metrics       )
										lowercase_  							=			kwargs.pop("""fp16_opt_level"""							,					self.fpaa_opt_level       )
										super().__init__(**UpperCamelCase__       )

					__SCREAMING_SNAKE_CASE       :  bool						=   field(default=__magic_name__							,				metadata={'help': 'Trace the models using torchscript'}   )
					__SCREAMING_SNAKE_CASE       :  bool						=   field(default=__magic_name__							,				metadata={'help': 'Print Xla/PyTorch tpu metrics'}   )
					__SCREAMING_SNAKE_CASE       :  str						=   field(
					    default='O1'							,				metadata={
					        'help': (
					            'For fp16: Apex AMP optimization level selected in [\'O0\', \'O1\', \'O2\', and \'O3\']. '
					            'See details at https://nvidia.github.io/apex/amp.html'
					        )
					    }							,				)

					@cached_property
					def   UpperCAmelCase__       (     self       :   Any       ):






										'''simple docstring'''






										requires_backends(self							,					["""torch"""]       )
										logger.info("""PyTorch: setting up devices"""       )
										if not self.cuda:
															lowercase_  							=			torch.device("""cpu"""       )
															lowercase_  							=			0
										elif is_torch_tpu_available():
															lowercase_  							=			xm.xla_device()
															lowercase_  							=			0
										else:
															lowercase_  							=			torch.device("""cuda""" if torch.cuda.is_available() else """cpu"""       )
															lowercase_  							=			torch.cuda.device_count()
										return device, n_gpu

					@property
					def   UpperCAmelCase__       (     self       :   int       ):






										'''simple docstring'''






										return is_torch_tpu_available() and self.tpu

					@property
					def   UpperCAmelCase__       (     self       :   Union[str, Any]       ):






										'''simple docstring'''






										requires_backends(self							,					["""torch"""]       )
										# TODO(PVP): currently only single GPU is supported
										return torch.cuda.current_device()

					@property
					def   UpperCAmelCase__       (     self       :   Optional[Any]       ):






										'''simple docstring'''






										requires_backends(self							,					["""torch"""]       )
										return self._setup_devices[0]

					@property
					def   UpperCAmelCase__       (     self       :   str       ):






										'''simple docstring'''






										requires_backends(self							,					["""torch"""]       )
										return self._setup_devices[1]







					@property
					def   UpperCAmelCase__       (     self       :   Optional[int]       ):






										'''simple docstring'''






										return self.n_gpu > 0






def 			UpperCAmelCase_				(      UpperCAmelCase__  ):
					return " ".join(input_str.split()[::-1]  )


if __name__ == "__main__":
							import doctest

							doctest.testmod()


