from collections import OrderedDict
from typing import Mapping

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


__lowerCAmelCase	:       Tuple						       =	{
    "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 						A   (   UpperCAmelCase   ):
							a_        =      '''albert'''





							def __init__(      self				:							Union[str, Any]     ,		__a				:							str=3_0_0_0_0     ,		__a				:							List[str]=1_2_8     ,		__a				:							List[Any]=4_0_9_6     ,		__a				:							str=1_2     ,		__a				:							List[str]=1     ,		__a				:							Tuple=6_4     ,		__a				:							Optional[int]=1_6_3_8_4     ,		__a				:							List[Any]=1     ,		__a				:							Any="gelu_new"     ,		__a				:							Any=0     ,		__a				:							Dict=0     ,		__a				:							Any=5_1_2     ,		__a				:							int=2     ,		__a				:							List[Any]=0.0_2     ,		__a				:							Union[str, Any]=1e-12     ,		__a				:							List[str]=0.1     ,		__a				:							Union[str, Any]="absolute"     ,		__a				:							Optional[Any]=0     ,		__a				:							Dict=2     ,		__a				:							List[str]=3     ,		**__a				:							Tuple     ,		)							->	int:
								super().__init__(pad_token_id=__a     ,		bos_token_id=__a     ,		eos_token_id=__a     ,		**__a	)

								__UpperCAmelCase							=			vocab_size
								__UpperCAmelCase							=			embedding_size
								__UpperCAmelCase							=			hidden_size
								__UpperCAmelCase							=			num_hidden_layers
								__UpperCAmelCase							=			num_hidden_groups
								__UpperCAmelCase							=			num_attention_heads
								__UpperCAmelCase							=			inner_group_num
								__UpperCAmelCase							=			hidden_act
								__UpperCAmelCase							=			intermediate_size
								__UpperCAmelCase							=			hidden_dropout_prob
								__UpperCAmelCase							=			attention_probs_dropout_prob
								__UpperCAmelCase							=			max_position_embeddings
								__UpperCAmelCase							=			type_vocab_size
								__UpperCAmelCase							=			initializer_range
								__UpperCAmelCase							=			layer_norm_eps
								__UpperCAmelCase							=			classifier_dropout_prob
								__UpperCAmelCase							=			position_embedding_type






class 						A   (   UpperCAmelCase   ):





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

'''simple docstring'''


from ...configuration_utils import PretrainedConfig






class 						A   (   UpperCAmelCase   ):
							a_        =      '''bert-generation'''





							def __init__(      self				:							str     ,		__a				:							str=5_0_3_5_8     ,		__a				:							int=1_0_2_4     ,		__a				:							Optional[Any]=2_4     ,		__a				:							Any=1_6     ,		__a				:							int=4_0_9_6     ,		__a				:							Any="gelu"     ,		__a				:							Union[str, Any]=0.1     ,		__a				:							Any=0.1     ,		__a				:							Union[str, Any]=5_1_2     ,		__a				:							int=0.0_2     ,		__a				:							str=1e-12     ,		__a				:							List[str]=0     ,		__a				:							Optional[int]=2     ,		__a				:							Tuple=1     ,		__a				:							str="absolute"     ,		__a				:							Optional[Any]=True     ,		**__a				:							Tuple     ,		)							->	Any:
								super().__init__(pad_token_id=__a     ,		bos_token_id=__a     ,		eos_token_id=__a     ,		**__a	)

								__UpperCAmelCase							=			vocab_size
								__UpperCAmelCase							=			hidden_size
								__UpperCAmelCase							=			num_hidden_layers
								__UpperCAmelCase							=			num_attention_heads
								__UpperCAmelCase							=			hidden_act
								__UpperCAmelCase							=			intermediate_size
								__UpperCAmelCase							=			hidden_dropout_prob
								__UpperCAmelCase							=			attention_probs_dropout_prob
								__UpperCAmelCase							=			max_position_embeddings
								__UpperCAmelCase							=			initializer_range
								__UpperCAmelCase							=			layer_norm_eps
								__UpperCAmelCase							=			position_embedding_type
								__UpperCAmelCase							=			use_cache
