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


UpperCAmelCase_			    =							logging.get_logger(__name__)




@dataclass
class  __magic_name__  (		__a    ):





   """simple docstring"""




   lowerCAmelCase      :    Tuple  			=   [
       '''no_inference''',
       '''no_cuda''',
       '''no_tpu''',
       '''no_speed''',
       '''no_memory''',
       '''no_env_print''',
       '''no_multi_process''',
   ]



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



    """simple docstring"""



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

    _UpperCamelCase:     Dict							= kwargs.pop('''torchscript'''		,  self.torchscript							)
    _UpperCamelCase:     Tuple							= kwargs.pop('''torch_xla_tpu_print_metrics'''		,  self.torch_xla_tpu_print_metrics							)
    _UpperCamelCase:     List[Any]							= kwargs.pop('''fp16_opt_level'''		,  self.fpaa_opt_level							)
    super().__init__(**_lowercase							)

   lowerCAmelCase      :    bool  			=   field(default=__a      ,	metadata={'''help''': '''Trace the models using torchscript'''}    )
   lowerCAmelCase      :    bool  			=   field(default=__a      ,	metadata={'''help''': '''Print Xla/PyTorch tpu metrics'''}    )
   lowerCAmelCase      :    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   lowerCAmelCase						(	self					:  Any							):



    """simple docstring"""



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



   @property
   def   lowerCAmelCase						(	self					:  Any							):



    """simple docstring"""



    return is_torch_tpu_available() and self.tpu



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



    """simple docstring"""



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



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



    """simple docstring"""



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



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



    """simple docstring"""



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



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



    """simple docstring"""



    return self.n_gpu > 0
import warnings

from ...utils import logging
from .image_processing_perceiver import PerceiverImageProcessor


UpperCAmelCase_			    =							logging.get_logger(__name__)




class  __magic_name__  (		__a    ):





   """simple docstring"""




   def __init__(	self					:  str		,  *_lowercase					:  str		,  **_lowercase					:  int							):



    """simple docstring"""



    warnings.warn(
        '''The class PerceiverFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
        ''' Please use PerceiverImageProcessor instead.'''		,  _lowercase		,  )
    super().__init__(*_lowercase		,  **_lowercase							)