
from dataclasses import dataclass, field
from typing import Tuple

from ..utils import cached_property, is_tf_available, logging, requires_backends
from .benchmark_args_utils import BenchmarkArguments


if is_tf_available():
      import tensorflow as tf


lowercase__          =logging.get_logger(__name__)



@dataclass
class 		UpperCamelCase__  (	__lowercase   ):
   _SCREAMING_SNAKE_CASE				:							Any     	=				[
       "no_inference",
       "no_cuda",
       "no_tpu",
       "no_speed",
       "no_memory",
       "no_env_print",
       "no_multi_process",
   ]
   def __init__(self			: List[Any] ,    **snake_case_			: Any       ):
    for deprecated_arg in self.deprecated_args:
     if deprecated_arg in kwargs:
      __a			:  Any		    =  deprecated_arg[3:]
      __a			:  Dict		    =  not kwargs.pop(snake_case_       )
      logger.warning(
          f"{deprecated_arg} is depreciated. Please use --no-{positive_arg} or"
          f" {positive_arg}={kwargs[positive_arg]}"       )
    __a			:  Optional[int]		    =  kwargs.pop('''tpu_name''' ,    self.tpu_name       )
    __a			:  str		    =  kwargs.pop('''device_idx''' ,    self.device_idx       )
    __a			:  List[str]		    =  kwargs.pop('''eager_mode''' ,    self.eager_mode       )
    __a			:  List[str]		    =  kwargs.pop('''use_xla''' ,    self.use_xla       )
    super().__init__(**snake_case_       )

   _SCREAMING_SNAKE_CASE				:							str     	=				field(
       default=__lowercase   ,metadata={"help": "Name of TPU"}   ,)
   _SCREAMING_SNAKE_CASE				:							int     	=				field(
       default=0   ,metadata={"help": "CPU / GPU device index. Defaults to 0."}   ,)
   _SCREAMING_SNAKE_CASE				:							bool     	=				field(default=__lowercase   ,metadata={"help": "Benchmark models in eager model."}   )
   _SCREAMING_SNAKE_CASE				:							bool     	=				field(
       default=__lowercase   ,metadata={
           "help": "Benchmark models using XLA JIT compilation. Note that `eager_model` has to be set to `False`."
       }   ,)
   @cached_property
   def 				lowerCAmelCase      (self			: List[str]       ):
    requires_backends(self ,    ['''tf''']       )
    __a			:  Any		    =  None
    if self.tpu:
     try:
      if self.tpu_name:
       __a			:  int		    =  tf.distribute.cluster_resolver.TPUClusterResolver(self.tpu_name       )
      else:
       __a			:  Optional[int]		    =  tf.distribute.cluster_resolver.TPUClusterResolver()
     except ValueError:
      __a			:  List[str]		    =  None
    return tpu
   @cached_property
   def 				lowerCAmelCase      (self			: Dict       ):
    requires_backends(self ,    ['''tf''']       )
    if self.is_tpu:
     tf.config.experimental_connect_to_cluster(self._setup_tpu       )
     tf.tpu.experimental.initialize_tpu_system(self._setup_tpu       )

     __a			:  Optional[Any]		    =  tf.distribute.TPUStrategy(self._setup_tpu       )
    else:
     # currently no multi gpu is allowed
     if self.is_gpu:
      # TODO: Currently only single GPU is supported
      tf.config.set_visible_devices(self.gpu_list[self.device_idx] ,    '''GPU'''       )
      __a			:  int		    =  tf.distribute.OneDeviceStrategy(device=f"/gpu:{self.device_idx}"       )
     else:
      tf.config.set_visible_devices([] ,    '''GPU'''       )  # disable GPU
      __a			:  List[Any]		    =  tf.distribute.OneDeviceStrategy(device=f"/cpu:{self.device_idx}"       )

    return strategy
   @property
   def 				lowerCAmelCase      (self			: List[Any]       ):
    requires_backends(self ,    ['''tf''']       )
    return self._setup_tpu is not None
   @property
   def 				lowerCAmelCase      (self			: Optional[int]       ):
    requires_backends(self ,    ['''tf''']       )
    return self._setup_strategy
   @property
   def 				lowerCAmelCase      (self			: Union[str, Any]       ):
    requires_backends(self ,    ['''tf''']       )
    return tf.config.list_physical_devices('''GPU'''       )
   @property
   def 				lowerCAmelCase      (self			: Dict       ):
    requires_backends(self ,    ['''tf''']       )
    if self.cuda:
     return len(self.gpu_list       )
    return 0







   @property
   def 				lowerCAmelCase      (self			: Union[str, Any]       ):
    return self.n_gpu > 0


from .glue import GlueDataset, GlueDataTrainingArguments
from .language_modeling import (
    LineByLineTextDataset,
    LineByLineWithRefDataset,
    LineByLineWithSOPTextDataset,
    TextDataset,
    TextDatasetForNextSentencePrediction,
)
from .squad import SquadDataset, SquadDataTrainingArguments
