


"""simple docstring"""





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


lowerCamelCase       	=						logging.get_logger(__name__)
@dataclass
class 				lowercase__       (   __a				):







       '''simple docstring'''


       UpperCamelCase						=					[
           """no_inference""",
           """no_cuda""",
           """no_tpu""",
           """no_speed""",
           """no_memory""",
           """no_env_print""",
           """no_multi_process""",
       ]



       def __init__(							self      :  int		,    **_UpperCAmelCase      :  List[Any]   )			->						Tuple:


             '''simple docstring'''




             for deprecated_arg in self.deprecated_args:
                   if deprecated_arg in kwargs:
                         UpperCAmelCase_      			=							deprecated_arg[3:]
                         UpperCAmelCase_      			=							not kwargs.pop(a__   )
                         logger.warning(
                             F"""{deprecated_arg} is depreciated. Please use --no-{positive_arg} or"""
                             F""" {positive_arg}={kwargs[positive_arg]}"""   )
             UpperCAmelCase_      			=							kwargs.pop("tpu_name"		,    self.tpu_name   )
             UpperCAmelCase_      			=							kwargs.pop("device_idx"		,    self.device_idx   )
             UpperCAmelCase_      			=							kwargs.pop("eager_mode"		,    self.eager_mode   )
             UpperCAmelCase_      			=							kwargs.pop("use_xla"		,    self.use_xla   )
             super().__init__(**a__   )

       UpperCamelCase						=					field(
           default=__a    , metadata={'''help''': '''Name of TPU'''}    , )
       UpperCamelCase						=					field(
           default=0    , metadata={'''help''': '''CPU / GPU device index. Defaults to 0.'''}    , )
       UpperCamelCase						=					field(default=__a    , metadata={'''help''': '''Benchmark models in eager model.'''}				)
       UpperCamelCase						=					field(
           default=__a    , metadata={
               '''help''': '''Benchmark models using XLA JIT compilation. Note that `eager_model` has to be set to `False`.'''
           }    , )



       @cached_property
       def 					lowercase__    (							self      :  int   )			->						Optional[int]:


             '''simple docstring'''




             requires_backends(self		,    ["tf"]   )
             UpperCAmelCase_      			=							None
             if self.tpu:
                   try:
                         if self.tpu_name:
                               UpperCAmelCase_      			=							tf.distribute.cluster_resolver.TPUClusterResolver(self.tpu_name   )
                         else:
                               UpperCAmelCase_      			=							tf.distribute.cluster_resolver.TPUClusterResolver()
                   except ValueError:
                         UpperCAmelCase_      			=							None
             return tpu



       @cached_property
       def 					lowercase__    (							self      :  Optional[Any]   )			->						int:


             '''simple docstring'''




             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   )

                   UpperCAmelCase_      			=							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"   )
                         UpperCAmelCase_      			=							tf.distribute.OneDeviceStrategy(device=F"""/gpu:{self.device_idx}"""   )
                   else:
                         tf.config.set_visible_devices([]		,    "GPU"   )  # disable GPU
                         UpperCAmelCase_      			=							tf.distribute.OneDeviceStrategy(device=F"""/cpu:{self.device_idx}"""   )

             return strategy



       @property
       def 					lowercase__    (							self      :  List[str]   )			->						Tuple:


             '''simple docstring'''




             requires_backends(self		,    ["tf"]   )
             return self._setup_tpu is not None



       @property
       def 					lowercase__    (							self      :  int   )			->						Optional[Any]:


             '''simple docstring'''




             requires_backends(self		,    ["tf"]   )
             return self._setup_strategy



       @property
       def 					lowercase__    (							self      :  str   )			->						Optional[int]:


             '''simple docstring'''




             requires_backends(self		,    ["tf"]   )
             return tf.config.list_physical_devices("GPU"   )



       @property
       def 					lowercase__    (							self      :  Dict   )			->						Optional[int]:


             '''simple docstring'''




             requires_backends(self		,    ["tf"]   )
             if self.cuda:
                   return len(self.gpu_list   )
             return 0







       @property
       def 					lowercase__    (							self      :  Optional[Any]   )			->						Optional[Any]:


             '''simple docstring'''




             return self.n_gpu > 0









"""simple docstring"""





def        a__     (				lowerCAmelCase__     ,      lowerCAmelCase__				):
      return [sentence[i : i + ngram_size] for i in range(len(lowerCAmelCase__				) - ngram_size + 1				)]


if __name__ == "__main__":
  from doctest import testmod

  testmod()




