



"""simple docstring"""

from collections import OrderedDict
from typing import Mapping

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


lowercase__					:						str												=			logging.get_logger(__name__)

lowercase__					:						Any												=			{
    '''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  _UpperCAmelCase (    lowerCAmelCase__):
 _lowerCAmelCase     :    Optional[Any]	      =	"""roformer"""

 def __init__(  self	: List[str]						,  lowercase_	: Dict=50000						,  lowercase_	: List[str]=None						,  lowercase_	: Tuple=768						,  lowercase_	: str=12						,  lowercase_	: Dict=12						,  lowercase_	: Union[str, Any]=3072						,  lowercase_	: Any="gelu"						,  lowercase_	: str=0.1						,  lowercase_	: Optional[int]=0.1						,  lowercase_	: List[str]=1536						,  lowercase_	: int=2						,  lowercase_	: str=0.02						,  lowercase_	: List[str]=1E-12						,  lowercase_	: List[str]=0						,  lowercase_	: str=False						,  lowercase_	: Any=True						,  **lowercase_	: Optional[int]						,  ):
     super().__init__(pad_token_id=lowercase_						,  **lowercase_       )

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





class  _UpperCAmelCase (    lowerCAmelCase__):

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










"""simple docstring"""

lowercase__					:						Union[str, Any]												=			{
    '''Pillow''': '''Pillow''',
    '''accelerate''': '''accelerate>=0.11.0''',
    '''compel''': '''compel==0.1.8''',
    '''black''': '''black~=23.1''',
    '''datasets''': '''datasets''',
    '''filelock''': '''filelock''',
    '''flax''': '''flax>=0.4.1''',
    '''hf-doc-builder''': '''hf-doc-builder>=0.3.0''',
    '''huggingface-hub''': '''huggingface-hub>=0.13.2''',
    '''requests-mock''': '''requests-mock==1.10.0''',
    '''importlib_metadata''': '''importlib_metadata''',
    '''invisible-watermark''': '''invisible-watermark''',
    '''isort''': '''isort>=5.5.4''',
    '''jax''': '''jax>=0.2.8,!=0.3.2''',
    '''jaxlib''': '''jaxlib>=0.1.65''',
    '''Jinja2''': '''Jinja2''',
    '''k-diffusion''': '''k-diffusion>=0.0.12''',
    '''torchsde''': '''torchsde''',
    '''note_seq''': '''note_seq''',
    '''librosa''': '''librosa''',
    '''numpy''': '''numpy''',
    '''omegaconf''': '''omegaconf''',
    '''parameterized''': '''parameterized''',
    '''protobuf''': '''protobuf>=3.20.3,<4''',
    '''pytest''': '''pytest''',
    '''pytest-timeout''': '''pytest-timeout''',
    '''pytest-xdist''': '''pytest-xdist''',
    '''ruff''': '''ruff>=0.0.241''',
    '''safetensors''': '''safetensors''',
    '''sentencepiece''': '''sentencepiece>=0.1.91,!=0.1.92''',
    '''scipy''': '''scipy''',
    '''onnx''': '''onnx''',
    '''regex''': '''regex!=2019.12.17''',
    '''requests''': '''requests''',
    '''tensorboard''': '''tensorboard''',
    '''torch''': '''torch>=1.4''',
    '''torchvision''': '''torchvision''',
    '''transformers''': '''transformers>=4.25.1''',
    '''urllib3''': '''urllib3<=2.0.0''',
}





