





'''simple docstring'''



from collections import OrderedDict
from typing import Mapping

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


_SCREAMING_SNAKE_CASE					=    logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE					=    {
    '''andreasmadsen/efficient_mlm_m0.40''': (
        '''https://huggingface.co/andreasmadsen/efficient_mlm_m0.40/resolve/main/config.json'''
    ),
}






class 							__lowercase       (      lowerCAmelCase__						):







	'''simple docstring'''

	a    :				Any											=       "roberta-prelayernorm"


	def __init__(self     ,_lowerCamelCase=50265     ,_lowerCamelCase=768     ,_lowerCamelCase=12     ,_lowerCamelCase=12     ,_lowerCamelCase=3072     ,_lowerCamelCase="gelu"     ,_lowerCamelCase=0.1     ,_lowerCamelCase=0.1     ,_lowerCamelCase=512     ,_lowerCamelCase=2     ,_lowerCamelCase=0.0_2     ,_lowerCamelCase=1E-1_2     ,_lowerCamelCase=1     ,_lowerCamelCase=0     ,_lowerCamelCase=2     ,_lowerCamelCase="absolute"     ,_lowerCamelCase=True     ,_lowerCamelCase=None     ,**_lowerCamelCase     ,)							->							str:







				'''simple docstring'''





				super().__init__(pad_token_id=_lowerCamelCase     ,bos_token_id=_lowerCamelCase     ,eos_token_id=_lowerCamelCase     ,**_lowerCamelCase )

				__lowercase										=							vocab_size
				__lowercase										=							hidden_size
				__lowercase										=							num_hidden_layers
				__lowercase										=							num_attention_heads
				__lowercase										=							hidden_act
				__lowercase										=							intermediate_size
				__lowercase										=							hidden_dropout_prob
				__lowercase										=							attention_probs_dropout_prob
				__lowercase										=							max_position_embeddings
				__lowercase										=							type_vocab_size
				__lowercase										=							initializer_range
				__lowercase										=							layer_norm_eps
				__lowercase										=							position_embedding_type
				__lowercase										=							use_cache
				__lowercase										=							classifier_dropout






class 							__lowercase       (      lowerCAmelCase__						):







	'''simple docstring'''

	@property
	def 						_UpperCAmelCase     (self )							->							Mapping[str, Mapping[int, str]]:







				'''simple docstring'''





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












'''simple docstring'''



from argparse import ArgumentParser

from .env import EnvironmentCommand




def    _lowerCAmelCase						(				):
			__lowercase										=							ArgumentParser('''Diffusers CLI tool'''		,       usage='''diffusers-cli <command> [<args>]'''				)
			__lowercase										=							parser.add_subparsers(help='''diffusers-cli command helpers'''				)

			# Register commands
			EnvironmentCommand.register_subcommand(lowerCamelCase_				)

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

			if not hasattr(lowerCamelCase_		,       '''func'''				):
						parser.print_help()
						exit(1				)

			# Run
			__lowercase										=							args.func(lowerCamelCase_				)
			service.run()


if __name__ == "__main__":
	main()





