




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       a					(       lowercase_      ):

     '''simple docstring'''





     lowerCAmelCase    :	List[str]       		=  [
         "no_inference",
         "no_cuda",
         "no_tpu",
         "no_speed",
         "no_memory",
         "no_env_print",
         "no_multi_process",
     ]
     def __init__(     self       :      Dict ,   **__snake_case       :      List[str]    ):




         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__    )

     lowerCAmelCase    :	str       		=  field(
         default=lowercase_     ,       metadata={'help': 'Name of TPU'}     ,       )
     lowerCAmelCase    :	int       		=  field(
         default=0     ,       metadata={'help': 'CPU / GPU device index. Defaults to 0.'}     ,       )
     lowerCAmelCase    :	bool       		=  field(default=lowercase_     ,       metadata={'help': 'Benchmark models in eager model.'}      )
     lowerCAmelCase    :	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''']    )
         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   lowerCamelCase_       (     self       :      Any    ):
         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   lowerCamelCase_       (     self       :      Dict    ):
         requires_backends(self ,   ['''tf''']    )
         return self._setup_tpu is not None
     @property
     def   lowerCamelCase_       (     self       :      Any    ):
         requires_backends(self ,   ['''tf''']    )
         return self._setup_strategy
     @property
     def   lowerCamelCase_       (     self       :      Optional[Any]    ):
         requires_backends(self ,   ['''tf''']    )
         return tf.config.list_physical_devices('''GPU'''    )
     @property
     def   lowerCamelCase_       (     self       :      Optional[int]    ):
         requires_backends(self ,   ['''tf''']    )
         if self.cuda:
             return len(self.gpu_list    )
         return 0




     @property
     def   lowerCamelCase_       (     self       :      List[Any]    ):
         return self.n_gpu > 0






import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Audio, ClassLabel, Features
from .base import TaskTemplate



@dataclass(frozen=_A      )
class       a					(       _A      ):

     '''simple docstring'''





     lowerCAmelCase    :	str       		=  field(default='audio-classification'     ,       metadata={'include_in_asdict_even_if_is_default': True}      )
     lowerCAmelCase    :	ClassVar[Features]       		=  Features({'audio': Audio()}      )
     lowerCAmelCase    :	ClassVar[Features]       		=  Features({'labels': ClassLabel}      )
     lowerCAmelCase    :	str       		=  "audio"
     lowerCAmelCase    :	str       		=  "labels"
     def   lowerCamelCase_       (     self       :      Optional[Any] ,   __snake_case       :      List[Any]    ):
         if self.label_column not in features:
             raise ValueError(F'Column {self.label_column} is not present in features.'    )
         if not isinstance(features[self.label_column] ,   __snake_case    ):
             raise ValueError(F'Column {self.label_column} is not a ClassLabel.'    )
         UpperCAmelCase_										=					copy.deepcopy(self    )
         UpperCAmelCase_										=					self.label_schema.copy()
         UpperCAmelCase_										=					features[self.label_column]
         UpperCAmelCase_										=					label_schema
         return task_template




     @property
     def   lowerCamelCase_       (     self       :      Tuple    ):
         return {
             self.audio_column: "audio",
             self.label_column: "labels",
         }





