


import warnings
from contextlib import contextmanager

from ...processing_utils import ProcessorMixin






class        UpperCAmelCase__			(   _a						):



    """simple docstring"""






    UpperCAmelCase__		:						Tuple    =    """AutoFeatureExtractor"""
    UpperCAmelCase__		:						Dict    =    """Speech2Text2Tokenizer"""






    def __init__(     self   ,  A_   ,  A_       )    ->			int:
         super().__init__(lowerCAmelCase__   ,  lowerCAmelCase__       )
         __UpperCamelCase       				=self.feature_extractor
         __UpperCamelCase       				=False






    def __call__(     self   ,  *A_   ,  **A_       )    ->			Optional[Any]:
         # For backward compatibility
         if self._in_target_context_manager:
              return self.current_processor(*lowerCAmelCase__   ,  **lowerCAmelCase__       )

         if "raw_speech" in kwargs:
              warnings.warn('Using `raw_speech` as a keyword argument is deprecated. Use `audio` instead.'       )
              __UpperCamelCase       				=kwargs.pop('raw_speech'       )
         else:
              __UpperCamelCase       				=kwargs.pop('audio'   ,  lowerCAmelCase__       )
         __UpperCamelCase       				=kwargs.pop('sampling_rate'   ,  lowerCAmelCase__       )
         __UpperCamelCase       				=kwargs.pop('text'   ,  lowerCAmelCase__       )
         if len(lowerCAmelCase__       ) > 0:
              __UpperCamelCase       				=args[0]
              __UpperCamelCase       				=args[1:]

         if audio is None and text is None:
              raise ValueError('You need to specify either an `audio` or `text` input to process.'       )

         if audio is not None:
              __UpperCamelCase       				=self.feature_extractor(lowerCAmelCase__   ,  *lowerCAmelCase__   ,  sampling_rate=lowerCAmelCase__   ,  **lowerCAmelCase__       )
         if text is not None:
              __UpperCamelCase       				=self.tokenizer(lowerCAmelCase__   ,  **lowerCAmelCase__       )

         if text is None:
              return inputs
         elif audio is None:
              return encodings
         else:
              __UpperCamelCase       				=encodings['input_ids']
              return inputs






    def _a   (     self   ,  *A_   ,  **A_       )    ->			Union[str, Any]:
         return self.tokenizer.batch_decode(*lowerCAmelCase__   ,  **lowerCAmelCase__       )






    def _a   (     self   ,  *A_   ,  **A_       )    ->			Tuple:
         return self.tokenizer.decode(*lowerCAmelCase__   ,  **lowerCAmelCase__       )






    @contextmanager
    def _a   (     self       )    ->			int:
         warnings.warn(
             '`as_target_processor` is deprecated and will be removed in v5 of Transformers. You can process your '
             'labels by using the argument `text` of the regular `__call__` method (either in the same call as '
             'your audio inputs, or in a separate call.'       )
         __UpperCamelCase       				=True
         __UpperCamelCase       				=self.tokenizer
         yield
         __UpperCamelCase       				=self.feature_extractor
         __UpperCamelCase       				=False






import argparse
import os


UpperCAmelCase_    		=				{
    '''pytorch''': {
        '''1.13''': {
            '''torch''': '''1.13.1''',
            '''torchvision''': '''0.14.1''',
            '''torchaudio''': '''0.13.1''',
            '''python''': 3.9,
            '''cuda''': '''cu116''',
            '''install''': (
                '''python3 -m pip install --no-cache-dir -U torch==1.13.1 torchvision==0.14.1 torchaudio==0.13.1'''
                ''' --extra-index-url https://download.pytorch.org/whl/cu116'''
            ),
            '''base_image''': '''nvidia/cuda:11.6.2-cudnn8-devel-ubuntu20.04''',
        },
        '''1.12''': {
            '''torch''': '''1.12.1''',
            '''torchvision''': '''0.13.1''',
            '''torchaudio''': '''0.12.1''',
            '''python''': 3.9,
            '''cuda''': '''cu113''',
            '''install''': (
                '''python3 -m pip install --no-cache-dir -U torch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1'''
                ''' --extra-index-url https://download.pytorch.org/whl/cu113'''
            ),
            '''base_image''': '''nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04''',
        },
        '''1.11''': {
            '''torch''': '''1.11.0''',
            '''torchvision''': '''0.12.0''',
            '''torchaudio''': '''0.11.0''',
            '''python''': 3.9,
            '''cuda''': '''cu113''',
            '''install''': (
                '''python3 -m pip install --no-cache-dir -U torch==1.11.0 torchvision==0.12.0 torchaudio==0.11.0'''
                ''' --extra-index-url https://download.pytorch.org/whl/cu113'''
            ),
            '''base_image''': '''nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04''',
        },
        '''1.10''': {
            '''torch''': '''1.10.2''',
            '''torchvision''': '''0.11.3''',
            '''torchaudio''': '''0.10.2''',
            '''python''': 3.9,
            '''cuda''': '''cu113''',
            '''install''': (
                '''python3 -m pip install --no-cache-dir -U torch==1.10.2 torchvision==0.11.3 torchaudio==0.10.2'''
                ''' --extra-index-url https://download.pytorch.org/whl/cu113'''
            ),
            '''base_image''': '''nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04''',
        },
        # torchaudio < 0.10 has no CUDA-enabled binary distributions
        '''1.9''': {
            '''torch''': '''1.9.1''',
            '''torchvision''': '''0.10.1''',
            '''torchaudio''': '''0.9.1''',
            '''python''': 3.9,
            '''cuda''': '''cu111''',
            '''install''': (
                '''python3 -m pip install --no-cache-dir -U torch==1.9.1 torchvision==0.10.1 torchaudio==0.9.1'''
                ''' --extra-index-url https://download.pytorch.org/whl/cu111'''
            ),
            '''base_image''': '''nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04''',
        },
    },
    '''tensorflow''': {
        '''2.11''': {
            '''tensorflow''': '''2.11.1''',
            '''install''': '''python3 -m pip install --no-cache-dir -U tensorflow==2.11.1''',
            '''base_image''': '''nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04''',
        },
        '''2.10''': {
            '''tensorflow''': '''2.10.1''',
            '''install''': '''python3 -m pip install --no-cache-dir -U tensorflow==2.10.1''',
            '''base_image''': '''nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04''',
        },
        '''2.9''': {
            '''tensorflow''': '''2.9.3''',
            '''install''': '''python3 -m pip install --no-cache-dir -U tensorflow==2.9.3''',
            '''base_image''': '''nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04''',
        },
        '''2.8''': {
            '''tensorflow''': '''2.8.2''',
            '''install''': '''python3 -m pip install --no-cache-dir -U tensorflow==2.8.2''',
            '''base_image''': '''nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04''',
        },
        '''2.7''': {
            '''tensorflow''': '''2.7.3''',
            '''install''': '''python3 -m pip install --no-cache-dir -U tensorflow==2.7.3''',
            '''base_image''': '''nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04''',
        },
        '''2.6''': {
            '''tensorflow''': '''2.6.5''',
            '''install''': '''python3 -m pip install --no-cache-dir -U tensorflow==2.6.5''',
            '''base_image''': '''nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04''',
        },
        '''2.5''': {
            '''tensorflow''': '''2.5.3''',
            '''install''': '''python3 -m pip install --no-cache-dir -U tensorflow==2.5.3''',
            '''base_image''': '''nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04''',
        },
    },
}


if __name__ == "__main__":
      UpperCAmelCase_    		=				argparse.ArgumentParser('''Choose the framework and version to install''')
      parser.add_argument(
          '''--framework''', help='''The framework to install. Should be `torch` or `tensorflow`''', type=str, required=True
      )
      parser.add_argument('''--version''', help='''The version of the framework to install.''', type=str, required=True)
      UpperCAmelCase_    		=				parser.parse_args()

      UpperCAmelCase_    		=				past_versions_testing[args.framework][args.version]

      os.system(F"echo \"export INSTALL_CMD=\'{info['install']}\'\" >> ~/.profile")
      print(F"echo \"export INSTALL_CMD=\'{info['install']}\'\" >> ~/.profile")

      UpperCAmelCase_    		=				''''''
      if args.framework == "pytorch":
            UpperCAmelCase_    		=				info['''cuda''']
      os.system(F"echo \"export CUDA='{cuda}'\" >> ~/.profile")
      print(F"echo \"export CUDA='{cuda}'\" >> ~/.profile")