




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 				__UpperCamelCase      (			__UpperCAmelCase	):





				'''simple docstring'''



				__a				:			str					    ="""mpnet"""



				def __init__(			self							,			UpperCAmelCase_=3_05_27							,			UpperCAmelCase_=7_68							,			UpperCAmelCase_=12							,			UpperCAmelCase_=12							,			UpperCAmelCase_=30_72							,			UpperCAmelCase_="gelu"							,			UpperCAmelCase_=0.1							,			UpperCAmelCase_=0.1							,			UpperCAmelCase_=5_12							,			UpperCAmelCase_=0.02							,			UpperCAmelCase_=1E-1_2							,			UpperCAmelCase_=32							,			UpperCAmelCase_=1							,			UpperCAmelCase_=0							,			UpperCAmelCase_=2							,			**UpperCAmelCase_							,			):
											super().__init__(pad_token_id=UpperCAmelCase_							,			bos_token_id=UpperCAmelCase_							,			eos_token_id=UpperCAmelCase_							,			**UpperCAmelCase_    )

											lowerCAmelCase =		vocab_size
											lowerCAmelCase =		hidden_size
											lowerCAmelCase =		num_hidden_layers
											lowerCAmelCase =		num_attention_heads
											lowerCAmelCase =		hidden_act
											lowerCAmelCase =		intermediate_size
											lowerCAmelCase =		hidden_dropout_prob
											lowerCAmelCase =		attention_probs_dropout_prob
											lowerCAmelCase =		max_position_embeddings
											lowerCAmelCase =		initializer_range
											lowerCAmelCase =		layer_norm_eps
											lowerCAmelCase =		relative_attention_num_buckets









from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


UpperCAmelCase_    ={"""configuration_vilt""": ["""VILT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """ViltConfig"""]}

try:
		if not is_vision_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		UpperCAmelCase_    =["""ViltFeatureExtractor"""]
		UpperCAmelCase_    =["""ViltImageProcessor"""]
		UpperCAmelCase_    =["""ViltProcessor"""]

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		UpperCAmelCase_    =[
		    """VILT_PRETRAINED_MODEL_ARCHIVE_LIST""",
		    """ViltForImageAndTextRetrieval""",
		    """ViltForImagesAndTextClassification""",
		    """ViltForTokenClassification""",
		    """ViltForMaskedLM""",
		    """ViltForQuestionAnswering""",
		    """ViltLayer""",
		    """ViltModel""",
		    """ViltPreTrainedModel""",
		]


if TYPE_CHECKING:
		from .configuration_vilt import VILT_PRETRAINED_CONFIG_ARCHIVE_MAP, ViltConfig

		try:
				if not is_vision_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .feature_extraction_vilt import ViltFeatureExtractor
				from .image_processing_vilt import ViltImageProcessor
				from .processing_vilt import ViltProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_vilt import (
				    VILT_PRETRAINED_MODEL_ARCHIVE_LIST,
				    ViltForImageAndTextRetrieval,
				    ViltForImagesAndTextClassification,
				    ViltForMaskedLM,
				    ViltForQuestionAnswering,
				    ViltForTokenClassification,
				    ViltLayer,
				    ViltModel,
				    ViltPreTrainedModel,
				)


else:
		import sys

		UpperCAmelCase_    =_LazyModule(__name__, globals()["""__file__"""], _import_structure)



