






from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig


lowerCAmelCase_			      = {
    'albert-base-v1': 'https://huggingface.co/albert-base-v1/resolve/main/config.json',
    'albert-large-v1': 'https://huggingface.co/albert-large-v1/resolve/main/config.json',
    'albert-xlarge-v1': 'https://huggingface.co/albert-xlarge-v1/resolve/main/config.json',
    'albert-xxlarge-v1': 'https://huggingface.co/albert-xxlarge-v1/resolve/main/config.json',
    'albert-base-v2': 'https://huggingface.co/albert-base-v2/resolve/main/config.json',
    'albert-large-v2': 'https://huggingface.co/albert-large-v2/resolve/main/config.json',
    'albert-xlarge-v2': 'https://huggingface.co/albert-xlarge-v2/resolve/main/config.json',
    'albert-xxlarge-v2': 'https://huggingface.co/albert-xxlarge-v2/resolve/main/config.json',
}
class      UpperCamelCase (				snake_case__ ):







		"""simple docstring"""



		snake_case    =   '''albert'''
		def __init__(  self		:       Optional[Any]						,_SCREAMING_SNAKE_CASE		:       Union[str, Any]=3_0_0_0_0						,_SCREAMING_SNAKE_CASE		:       Optional[Any]=1_2_8						,_SCREAMING_SNAKE_CASE		:       Any=4_0_9_6						,_SCREAMING_SNAKE_CASE		:       List[str]=1_2						,_SCREAMING_SNAKE_CASE		:       Dict=1						,_SCREAMING_SNAKE_CASE		:       Dict=6_4						,_SCREAMING_SNAKE_CASE		:       List[str]=1_6_3_8_4						,_SCREAMING_SNAKE_CASE		:       Dict=1						,_SCREAMING_SNAKE_CASE		:       Union[str, Any]="gelu_new"						,_SCREAMING_SNAKE_CASE		:       List[str]=0						,_SCREAMING_SNAKE_CASE		:       Optional[int]=0						,_SCREAMING_SNAKE_CASE		:       Optional[int]=5_1_2						,_SCREAMING_SNAKE_CASE		:       str=2						,_SCREAMING_SNAKE_CASE		:       str=0.02						,_SCREAMING_SNAKE_CASE		:       int=1E-12						,_SCREAMING_SNAKE_CASE		:       List[Any]=0.1						,_SCREAMING_SNAKE_CASE		:       Any="absolute"						,_SCREAMING_SNAKE_CASE		:       Optional[int]=0						,_SCREAMING_SNAKE_CASE		:       Optional[Any]=2						,_SCREAMING_SNAKE_CASE		:       List[Any]=3						,**_SCREAMING_SNAKE_CASE		:       int						,)    ->   Optional[Any]:


						'''simple docstring'''
						super().__init__(pad_token_id=A__						,bos_token_id=A__						,eos_token_id=A__						,**A__		)

						A	 =      vocab_size
						A	 =      embedding_size
						A	 =      hidden_size
						A	 =      num_hidden_layers
						A	 =      num_hidden_groups
						A	 =      num_attention_heads
						A	 =      inner_group_num
						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	 =      classifier_dropout_prob
						A	 =      position_embedding_type


class      UpperCamelCase (				snake_case__ ):







		"""simple docstring"""



		@property
		def       A(  self		:       Tuple		)    ->   Union[str, Any]:


						'''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),
						        ('token_type_ids', dynamic_axis),
						    ]		)













from ...configuration_utils import PretrainedConfig
class      UpperCamelCase (				snake_case__ ):







		"""simple docstring"""



		snake_case    =   "bert-generation"
		def __init__(  self		:       Tuple						,_SCREAMING_SNAKE_CASE		:       Tuple=5_0_3_5_8						,_SCREAMING_SNAKE_CASE		:       str=1_0_2_4						,_SCREAMING_SNAKE_CASE		:       List[str]=2_4						,_SCREAMING_SNAKE_CASE		:       Optional[Any]=1_6						,_SCREAMING_SNAKE_CASE		:       Dict=4_0_9_6						,_SCREAMING_SNAKE_CASE		:       str="gelu"						,_SCREAMING_SNAKE_CASE		:       str=0.1						,_SCREAMING_SNAKE_CASE		:       Optional[Any]=0.1						,_SCREAMING_SNAKE_CASE		:       Tuple=5_1_2						,_SCREAMING_SNAKE_CASE		:       Optional[Any]=0.02						,_SCREAMING_SNAKE_CASE		:       List[str]=1E-12						,_SCREAMING_SNAKE_CASE		:       Tuple=0						,_SCREAMING_SNAKE_CASE		:       Union[str, Any]=2						,_SCREAMING_SNAKE_CASE		:       Optional[int]=1						,_SCREAMING_SNAKE_CASE		:       str="absolute"						,_SCREAMING_SNAKE_CASE		:       Optional[int]=True						,**_SCREAMING_SNAKE_CASE		:       Optional[int]						,)    ->   Dict:


						'''simple docstring'''
						super().__init__(pad_token_id=_SCREAMING_SNAKE_CASE						,bos_token_id=_SCREAMING_SNAKE_CASE						,eos_token_id=_SCREAMING_SNAKE_CASE						,**_SCREAMING_SNAKE_CASE		)

						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	 =      initializer_range
						A	 =      layer_norm_eps
						A	 =      position_embedding_type
						A	 =      use_cache





