





from collections import OrderedDict
from typing import TYPE_CHECKING, Any, Mapping, Optional, Union

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


if TYPE_CHECKING:
     from ... import FeatureExtractionMixin, PreTrainedTokenizerBase, TensorType


UpperCamelCase__											= logging.get_logger(__name__)

UpperCamelCase__											= {
    'microsoft/deberta-v2-xlarge': 'https://huggingface.co/microsoft/deberta-v2-xlarge/resolve/main/config.json',
    'microsoft/deberta-v2-xxlarge': 'https://huggingface.co/microsoft/deberta-v2-xxlarge/resolve/main/config.json',
    'microsoft/deberta-v2-xlarge-mnli': (
        'https://huggingface.co/microsoft/deberta-v2-xlarge-mnli/resolve/main/config.json'
    ),
    'microsoft/deberta-v2-xxlarge-mnli': (
        'https://huggingface.co/microsoft/deberta-v2-xxlarge-mnli/resolve/main/config.json'
    ),
}

class        __SCREAMING_SNAKE_CASE					(     UpperCamelCase_       ):
       snake_case     :      Tuple						     =       """deberta-v2"""






       def __init__(						self  , __lowerCAmelCase=128100  , __lowerCAmelCase=1536  , __lowerCAmelCase=24  , __lowerCAmelCase=24  , __lowerCAmelCase=6144  , __lowerCAmelCase="gelu"  , __lowerCAmelCase=0.1  , __lowerCAmelCase=0.1  , __lowerCAmelCase=512  , __lowerCAmelCase=0  , __lowerCAmelCase=0.02  , __lowerCAmelCase=1E-7  , __lowerCAmelCase=False  , __lowerCAmelCase=-1  , __lowerCAmelCase=0  , __lowerCAmelCase=True  , __lowerCAmelCase=None  , __lowerCAmelCase=0  , __lowerCAmelCase="gelu"  , **__lowerCAmelCase  , ):
              super().__init__(**UpperCamelCase__  )

              UpperCamelCase__				     =			hidden_size
              UpperCamelCase__				     =			num_hidden_layers
              UpperCamelCase__				     =			num_attention_heads
              UpperCamelCase__				     =			intermediate_size
              UpperCamelCase__				     =			hidden_act
              UpperCamelCase__				     =			hidden_dropout_prob
              UpperCamelCase__				     =			attention_probs_dropout_prob
              UpperCamelCase__				     =			max_position_embeddings
              UpperCamelCase__				     =			type_vocab_size
              UpperCamelCase__				     =			initializer_range
              UpperCamelCase__				     =			relative_attention
              UpperCamelCase__				     =			max_relative_positions
              UpperCamelCase__				     =			pad_token_id
              UpperCamelCase__				     =			position_biased_input

              # Backwards compatibility
              if type(UpperCamelCase__  ) == str:
                     UpperCamelCase__				     =			[x.strip() for x in pos_att_type.lower().split("""|"""  )]

              UpperCamelCase__				     =			pos_att_type
              UpperCamelCase__				     =			vocab_size
              UpperCamelCase__				     =			layer_norm_eps

              UpperCamelCase__				     =			kwargs.get("""pooler_hidden_size"""  , UpperCamelCase__  )
              UpperCamelCase__				     =			pooler_dropout
              UpperCamelCase__				     =			pooler_hidden_act






class        __SCREAMING_SNAKE_CASE					(     UpperCamelCase_       ):






       @property
       def 				_lowerCamelCase		(						self  ):





              if self.task == "multiple-choice":
                     UpperCamelCase__				     =			{0: '''batch''', 1: '''choice''', 2: '''sequence'''}
              else:
                     UpperCamelCase__				     =			{0: '''batch''', 1: '''sequence'''}
              if self._config.type_vocab_size > 0:
                     return OrderedDict(
                         [("""input_ids""", dynamic_axis), ("""attention_mask""", dynamic_axis), ("""token_type_ids""", dynamic_axis)]  )
              else:
                     return OrderedDict([("""input_ids""", dynamic_axis), ("""attention_mask""", dynamic_axis)]  )






       @property
       def 				_lowerCamelCase		(						self  ):
              return 12







       def 				_lowerCamelCase		(						self  , __lowerCAmelCase  , __lowerCAmelCase = -1  , __lowerCAmelCase = -1  , __lowerCAmelCase = -1  , __lowerCAmelCase = False  , __lowerCAmelCase = None  , __lowerCAmelCase = 3  , __lowerCAmelCase = 40  , __lowerCAmelCase = 40  , __lowerCAmelCase = None  , ):
              UpperCamelCase__				     =			super().generate_dummy_inputs(preprocessor=UpperCamelCase__  , framework=UpperCamelCase__  )
              if self._config.type_vocab_size == 0 and "token_type_ids" in dummy_inputs:
                     del dummy_inputs["token_type_ids"]
              return dummy_inputs











from argparse import ArgumentParser

from .env import EnvironmentCommand





def     _UpperCamelCase     ():






							"""simple docstring"""





							UpperCamelCase__				     =			ArgumentParser("""Diffusers CLI tool"""   ,			usage="""diffusers-cli <command> [<args>]"""       )
							UpperCamelCase__				     =			parser.add_subparsers(help="""diffusers-cli command helpers"""       )

							# Register commands
							EnvironmentCommand.register_subcommand(a__       )

							# Let's go
							UpperCamelCase__				     =			parser.parse_args()

							if not hasattr(a__   ,			"""func"""       ):
														parser.print_help()
														exit(1       )

							# Run
							UpperCamelCase__				     =			args.func(a__       )
							service.run()


if __name__ == "__main__":
					main()




