
"""simple docstring"""





from collections import OrderedDict
from typing import Mapping

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


UpperCamelCase_					:						Optional[int]				= logging.get_logger(__name__)

UpperCamelCase_					:						List[Any]				= {
    "kssteven/ibert-roberta-base": "https://huggingface.co/kssteven/ibert-roberta-base/resolve/main/config.json",
    "kssteven/ibert-roberta-large": "https://huggingface.co/kssteven/ibert-roberta-large/resolve/main/config.json",
    "kssteven/ibert-roberta-large-mnli": (
        "https://huggingface.co/kssteven/ibert-roberta-large-mnli/resolve/main/config.json"
    ),
}



class __lowerCAmelCase				(					__lowerCAmelCase      ):




			"""simple docstring"""







			snake_case	      =				"ibert"




			def __init__(				self						:					Optional[Any]       ,   _snake_case						:					Union[str, Any]=30_522       ,   _snake_case						:					Dict=768       ,   _snake_case						:					str=12       ,   _snake_case						:					Union[str, Any]=12       ,   _snake_case						:					Dict=3_072       ,   _snake_case						:					Any="gelu"       ,   _snake_case						:					Optional[Any]=0.1       ,   _snake_case						:					List[Any]=0.1       ,   _snake_case						:					Dict=512       ,   _snake_case						:					Dict=2       ,   _snake_case						:					int=0.0_2       ,   _snake_case						:					List[Any]=1e-12       ,   _snake_case						:					Any=1       ,   _snake_case						:					Union[str, Any]=0       ,   _snake_case						:					Union[str, Any]=2       ,   _snake_case						:					int="absolute"       ,   _snake_case						:					Optional[Any]=False       ,   _snake_case						:					Any="none"       ,   **_snake_case						:					Optional[int]       ,   )      -> str:







								"""simple docstring"""
								super().__init__(pad_token_id=_UpperCamelCase       ,   bos_token_id=_UpperCamelCase       ,   eos_token_id=_UpperCamelCase       ,   **_UpperCamelCase	)

								A_				 =						vocab_size
								A_				 =						hidden_size
								A_				 =						num_hidden_layers
								A_				 =						num_attention_heads
								A_				 =						hidden_act
								A_				 =						intermediate_size
								A_				 =						hidden_dropout_prob
								A_				 =						attention_probs_dropout_prob
								A_				 =						max_position_embeddings
								A_				 =						type_vocab_size
								A_				 =						initializer_range
								A_				 =						layer_norm_eps
								A_				 =						position_embedding_type
								A_				 =						quant_mode
								A_				 =						force_dequant





class __lowerCAmelCase				(					__lowerCAmelCase      ):




			"""simple docstring"""







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







								"""simple docstring"""


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






"""simple docstring"""





import torch
def 							A_     ():

					'''simple docstring'''





					if torch.cuda.is_available():
										A_				 =						torch.cuda.device_count()
					else:
										A_				 =						0
					print(f'Successfully ran on {num_gpus} GPUs'				)


if __name__ == "__main__":
		main()




