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


UpperCamelCase    				=		logging.get_logger(__name__)

UpperCamelCase    				=		{
    """microsoft/mpnet-base""": """https://huggingface.co/microsoft/mpnet-base/resolve/main/config.json""",
}



class     snake_case_			(						__A			):
   __A      :						Tuple   =							"mpnet"






   def __init__( self							:	List[Any]      ,		lowercase_							:	str=3_05_27      ,		lowercase_							:	Union[str, Any]=7_68      ,		lowercase_							:	List[str]=12      ,		lowercase_							:	List[str]=12      ,		lowercase_							:	List[str]=30_72      ,		lowercase_							:	Union[str, Any]="gelu"      ,		lowercase_							:	List[Any]=0.1      ,		lowercase_							:	Union[str, Any]=0.1      ,		lowercase_							:	int=5_12      ,		lowercase_							:	List[Any]=0.02      ,		lowercase_							:	int=1E-12      ,		lowercase_							:	Optional[int]=32      ,		lowercase_							:	List[Any]=1      ,		lowercase_							:	Any=0      ,		lowercase_							:	str=2      ,		**lowercase_							:	Any      ,		)   ->		Dict:
       super().__init__(pad_token_id=UpperCAmelCase_      ,		bos_token_id=UpperCAmelCase_      ,		eos_token_id=UpperCAmelCase_      ,		**UpperCAmelCase_    )

       lowercase__					:  Any          =							vocab_size
       lowercase__					:  Union[str, Any]          =							hidden_size
       lowercase__					:  Union[str, Any]          =							num_hidden_layers
       lowercase__					:  Dict          =							num_attention_heads
       lowercase__					:  Union[str, Any]          =							hidden_act
       lowercase__					:  List[Any]          =							intermediate_size
       lowercase__					:  Optional[int]          =							hidden_dropout_prob
       lowercase__					:  Tuple          =							attention_probs_dropout_prob
       lowercase__					:  List[Any]          =							max_position_embeddings
       lowercase__					:  Tuple          =							initializer_range
       lowercase__					:  Union[str, Any]          =							layer_norm_eps
       lowercase__					:  str          =							relative_attention_num_buckets






"""simple docstring"""

from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


a__			:						str							=			{
    """configuration_rwkv""": ["""RWKV_PRETRAINED_CONFIG_ARCHIVE_MAP""", """RwkvConfig""", """RwkvOnnxConfig"""],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							a__			:						Optional[int]							=			[
							    """RWKV_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """RwkvForCausalLM""",
							    """RwkvModel""",
							    """RwkvPreTrainedModel""",
							]


if TYPE_CHECKING:
							from .configuration_rwkv import RWKV_PRETRAINED_CONFIG_ARCHIVE_MAP, RwkvConfig, RwkvOnnxConfig

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_rwkv import (
														    RWKV_PRETRAINED_MODEL_ARCHIVE_LIST,
														    RwkvForCausalLM,
														    RwkvModel,
														    RwkvPreTrainedModel,
														)
else:
							import sys

							a__			:						List[str]							=			_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)


