





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


_lowerCAmelCase							:					Tuple		    =		logging.get_logger(__name__)


@dataclass
class     __magic_name__     (							a_							):





     """simple docstring"""



     __UpperCamelCase    			=   [
         '''no_inference''',
         '''no_cuda''',
         '''no_tpu''',
         '''no_speed''',
         '''no_memory''',
         '''no_env_print''',
         '''no_multi_process''',
     ]



     def __init__(							self				:Optional[Any]	,					**snake_case				:int     ):





        '''simple docstring'''




        for deprecated_arg in self.deprecated_args:
           if deprecated_arg in kwargs:
              A_    : List[Any]								=	deprecated_arg[3:]
              setattr(self	,					_A	,					not kwargs.pop(_A     )     )
              logger.warning(
                  f"{deprecated_arg} is depreciated. Please use --no_{positive_arg} or"
                  f" {positive_arg}={kwargs[positive_arg]}"     )

        A_    : Optional[Any]								=	kwargs.pop("torchscript"	,					self.torchscript     )
        A_    : str								=	kwargs.pop("torch_xla_tpu_print_metrics"	,					self.torch_xla_tpu_print_metrics     )
        A_    : Optional[Any]								=	kwargs.pop("fp16_opt_level"	,					self.fpaa_opt_level     )
        super().__init__(**_A     )

     __UpperCamelCase    			=   field(default=a_			, metadata={'''help''': '''Trace the models using torchscript'''}							)
     __UpperCamelCase    			=   field(default=a_			, metadata={'''help''': '''Print Xla/PyTorch tpu metrics'''}							)
     __UpperCamelCase    			=   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   SCREAMING_SNAKE_CASE						(							self				:int     ):





        '''simple docstring'''




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



     @property
     def   SCREAMING_SNAKE_CASE						(							self				:Any     ):





        '''simple docstring'''




        return is_torch_tpu_available() and self.tpu



     @property
     def   SCREAMING_SNAKE_CASE						(							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   SCREAMING_SNAKE_CASE						(							self				:Any     ):





        '''simple docstring'''




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



     @property
     def   SCREAMING_SNAKE_CASE						(							self				:List[Any]     ):





        '''simple docstring'''




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





     @property
     def   SCREAMING_SNAKE_CASE						(							self				:int     ):





        '''simple docstring'''




        return self.n_gpu > 0







from __future__ import annotations

from collections import namedtuple





def 						__SCREAMING_SNAKE_CASE  (				UpperCamelCase__			,			UpperCamelCase__			,			UpperCamelCase__ )  ->				tuple:







			'''simple docstring'''

			UpperCAmelCase   		=				namedtuple('''result'''			,			'''name value''' )
			if (voltage, current, power).count(0 ) != 1:
						raise ValueError('''Only one argument must be 0''' )
			elif power < 0:
						raise ValueError(
						    '''Power cannot be negative in any electrical/electronics system''' )
			elif voltage == 0:
						return result('''voltage'''			,			power / current )
			elif current == 0:
						return result('''current'''			,			power / voltage )
			elif power == 0:
						return result('''power'''			,			float(round(abs(voltage * current )			,			2 ) ) )
			else:
						raise ValueError('''Exactly one argument must be 0''' )


if __name__ == "__main__":
				import doctest

				doctest.testmod()



