




from collections import OrderedDict
from typing import Mapping

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


_UpperCAmelCase	:						Dict			=     logging.get_logger(__name__)

_UpperCAmelCase	:						Optional[int]			=     {
    """junnyu/roformer_chinese_small""": """https://huggingface.co/junnyu/roformer_chinese_small/resolve/main/config.json""",
    """junnyu/roformer_chinese_base""": """https://huggingface.co/junnyu/roformer_chinese_base/resolve/main/config.json""",
    """junnyu/roformer_chinese_char_small""": (
        """https://huggingface.co/junnyu/roformer_chinese_char_small/resolve/main/config.json"""
    ),
    """junnyu/roformer_chinese_char_base""": (
        """https://huggingface.co/junnyu/roformer_chinese_char_base/resolve/main/config.json"""
    ),
    """junnyu/roformer_small_discriminator""": (
        """https://huggingface.co/junnyu/roformer_small_discriminator/resolve/main/config.json"""
    ),
    """junnyu/roformer_small_generator""": (
        """https://huggingface.co/junnyu/roformer_small_generator/resolve/main/config.json"""
    ),
    # See all RoFormer models at https://huggingface.co/models?filter=roformer
}




class    __lowerCAmelCase       (							UpperCamelCase_):
       _a 					=						'''roformer'''






       def __init__(   self:					Optional[int]       ,					_lowerCAmelCase:					Tuple=5_00_00       ,					_lowerCAmelCase:					Optional[Any]=None       ,					_lowerCAmelCase:					Any=7_68       ,					_lowerCAmelCase:					Optional[Any]=12       ,					_lowerCAmelCase:					Tuple=12       ,					_lowerCAmelCase:					Dict=30_72       ,					_lowerCAmelCase:					Dict="gelu"       ,					_lowerCAmelCase:					Any=0.1       ,					_lowerCAmelCase:					Union[str, Any]=0.1       ,					_lowerCAmelCase:					str=15_36       ,					_lowerCAmelCase:					Optional[Any]=2       ,					_lowerCAmelCase:					List[Any]=0.02       ,					_lowerCAmelCase:					List[Any]=1e-1_2       ,					_lowerCAmelCase:					Tuple=0       ,					_lowerCAmelCase:					Optional[Any]=False       ,					_lowerCAmelCase:					str=True       ,					**_lowerCAmelCase:					Any       ,					):
         super().__init__(pad_token_id=__A       ,					**__A				)

         lowercase    :Dict      	=						vocab_size
         lowercase    :int      	=						hidden_size if embedding_size is None else embedding_size
         lowercase    :str      	=						hidden_size
         lowercase    :List[Any]      	=						num_hidden_layers
         lowercase    :Union[str, Any]      	=						num_attention_heads
         lowercase    :List[Any]      	=						hidden_act
         lowercase    :Union[str, Any]      	=						intermediate_size
         lowercase    :Any      	=						hidden_dropout_prob
         lowercase    :Any      	=						attention_probs_dropout_prob
         lowercase    :List[str]      	=						max_position_embeddings
         lowercase    :int      	=						type_vocab_size
         lowercase    :Any      	=						initializer_range
         lowercase    :int      	=						layer_norm_eps
         lowercase    :List[str]      	=						rotary_value
         lowercase    :List[str]      	=						use_cache







class    __lowerCAmelCase       (							UpperCamelCase_):






       @property
       def 					SCREAMING_SNAKE_CASE    (   self:					List[Any]				):
         if self.task == "multiple-choice":
           lowercase    :List[Any]      	=						{0: "batch", 1: "choice", 2: "sequence"}
         else:
           lowercase    :Optional[int]      	=						{0: "batch", 1: "sequence"}
         lowercase    :Optional[int]      	=						{0: "batch", 1: "sequence"}
         return OrderedDict(
             [
                 ("input_ids", dynamic_axis),
                 ("attention_mask", dynamic_axis),
                 ("token_type_ids", dynamic_axis),
             ]				)









from abc import ABC, abstractmethod
from argparse import ArgumentParser




class    __lowerCAmelCase       (							lowerCAmelCase):






       @staticmethod
       @abstractmethod
       def 					SCREAMING_SNAKE_CASE    (   _lowerCAmelCase:					ArgumentParser				):
         raise NotImplementedError()






       @abstractmethod
       def 					SCREAMING_SNAKE_CASE    (   self:					List[str]				):
         raise NotImplementedError()



