


'''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


a_						:       Union[str, Any]      			=				logging.get_logger(__name__)





@dataclass
class   snake_case					(					lowercase    ):





  """simple docstring"""




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






  def __init__(					self    ,						**UpperCamelCase  ):







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

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






  @cached_property
  def 						snake_case	(					self  ):







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






  @cached_property
  def 						snake_case	(					self  ):







   """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  )

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

   return strategy






  @property
  def 						snake_case	(					self  ):







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






  @property
  def 						snake_case	(					self  ):







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






  @property
  def 						snake_case	(					self  ):







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






  @property
  def 						snake_case	(					self  ):







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







  @property
  def 						snake_case	(					self  ):







   """simple docstring"""
   return self.n_gpu > 0







'''simple docstring'''

def __snake_case      (   UpperCAmelCase_		:		int      ,       UpperCAmelCase_		:		int	):
 return "\n".join(
     F'''{number} * {i} = {number * i}''' for i in range(1      ,       number_of_terms + 1	)	)


if __name__ == "__main__":
     print(multiplication_table(number=5, number_of_terms=10))



