

from collections import OrderedDict
from typing import Mapping

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


UpperCamelCase__  :      Optional[Any]			=    logging.get_logger(__name__)

UpperCamelCase__  :      Optional[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       __snake_case  (    _snake_case       ):
		__lowerCAmelCase     :	Union[str, Any]						 =  'roformer'

		def __init__(					self						,		_A=50000						,		_A=None						,		_A=768						,		_A=12						,		_A=12						,		_A=3072						,		_A="gelu"						,		_A=0.1						,		_A=0.1						,		_A=1536						,		_A=2						,		_A=0.0_2						,		_A=1E-12						,		_A=0						,		_A=False						,		_A=True						,		**_A						,		):
						super().__init__(pad_token_id=lowerCAmelCase__						,		**lowerCAmelCase__)

						SCREAMING_SNAKE_CASE_									=						vocab_size
						SCREAMING_SNAKE_CASE_									=						hidden_size if embedding_size is None else embedding_size
						SCREAMING_SNAKE_CASE_									=						hidden_size
						SCREAMING_SNAKE_CASE_									=						num_hidden_layers
						SCREAMING_SNAKE_CASE_									=						num_attention_heads
						SCREAMING_SNAKE_CASE_									=						hidden_act
						SCREAMING_SNAKE_CASE_									=						intermediate_size
						SCREAMING_SNAKE_CASE_									=						hidden_dropout_prob
						SCREAMING_SNAKE_CASE_									=						attention_probs_dropout_prob
						SCREAMING_SNAKE_CASE_									=						max_position_embeddings
						SCREAMING_SNAKE_CASE_									=						type_vocab_size
						SCREAMING_SNAKE_CASE_									=						initializer_range
						SCREAMING_SNAKE_CASE_									=						layer_norm_eps
						SCREAMING_SNAKE_CASE_									=						rotary_value
						SCREAMING_SNAKE_CASE_									=						use_cache






class       __snake_case  (    _snake_case       ):

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





from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCamelCase__  :      List[Any]			=    logging.get_logger(__name__)

UpperCamelCase__  :      List[str]			=    {
    "microsoft/biogpt": "https://huggingface.co/microsoft/biogpt/resolve/main/config.json",
    # See all BioGPT models at https://huggingface.co/models?filter=biogpt
}



class       __snake_case  (    lowerCAmelCase__       ):
  __lowerCAmelCase     :	Any						 =  'biogpt'

  def __init__(					self						,		_A=42384						,		_A=1024						,		_A=24						,		_A=16						,		_A=4096						,		_A="gelu"						,		_A=0.1						,		_A=0.1						,		_A=1024						,		_A=0.0_2						,		_A=1E-12						,		_A=True						,		_A=True						,		_A=0.0						,		_A=0.0						,		_A=1						,		_A=0						,		_A=2						,		**_A						,		):
      SCREAMING_SNAKE_CASE_									=						vocab_size
      SCREAMING_SNAKE_CASE_									=						max_position_embeddings
      SCREAMING_SNAKE_CASE_									=						hidden_size
      SCREAMING_SNAKE_CASE_									=						num_hidden_layers
      SCREAMING_SNAKE_CASE_									=						num_attention_heads
      SCREAMING_SNAKE_CASE_									=						intermediate_size
      SCREAMING_SNAKE_CASE_									=						hidden_act
      SCREAMING_SNAKE_CASE_									=						hidden_dropout_prob
      SCREAMING_SNAKE_CASE_									=						attention_probs_dropout_prob
      SCREAMING_SNAKE_CASE_									=						initializer_range
      SCREAMING_SNAKE_CASE_									=						layer_norm_eps
      SCREAMING_SNAKE_CASE_									=						scale_embedding
      SCREAMING_SNAKE_CASE_									=						use_cache
      SCREAMING_SNAKE_CASE_									=						layerdrop
      SCREAMING_SNAKE_CASE_									=						activation_dropout
      super().__init__(pad_token_id=_A						,		bos_token_id=_A						,		eos_token_id=_A						,		**_A)


