


'''simple docstring'''




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


__snake_case    						=logging.get_logger(__name__)

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

class 		UpperCAmelCase_      (  __lowercase		):
     lowerCamelCase				:	Optional[Any]		=     '''biogpt'''





     def __init__( self       :      Union[str, Any]    ,      UpperCAmelCase__       :      List[Any]=4_2_3_8_4    ,      UpperCAmelCase__       :      List[str]=1_0_2_4    ,      UpperCAmelCase__       :      Optional[Any]=2_4    ,      UpperCAmelCase__       :      Optional[int]=1_6    ,      UpperCAmelCase__       :      List[Any]=4_0_9_6    ,      UpperCAmelCase__       :      str="gelu"    ,      UpperCAmelCase__       :      List[str]=0.1    ,      UpperCAmelCase__       :      Optional[Any]=0.1    ,      UpperCAmelCase__       :      Union[str, Any]=1_0_2_4    ,      UpperCAmelCase__       :      Tuple=0.02    ,      UpperCAmelCase__       :      Union[str, Any]=1E-12    ,      UpperCAmelCase__       :      List[str]=True    ,      UpperCAmelCase__       :      Optional[Any]=True    ,      UpperCAmelCase__       :      Union[str, Any]=0.0    ,      UpperCAmelCase__       :      Dict=0.0    ,      UpperCAmelCase__       :      Any=1    ,      UpperCAmelCase__       :      str=0    ,      UpperCAmelCase__       :      Dict=2    ,      **UpperCAmelCase__       :      List[str]    ,      )				->  int:
        lowerCAmelCase     =			vocab_size
        lowerCAmelCase     =			max_position_embeddings
        lowerCAmelCase     =			hidden_size
        lowerCAmelCase     =			num_hidden_layers
        lowerCAmelCase     =			num_attention_heads
        lowerCAmelCase     =			intermediate_size
        lowerCAmelCase     =			hidden_act
        lowerCAmelCase     =			hidden_dropout_prob
        lowerCAmelCase     =			attention_probs_dropout_prob
        lowerCAmelCase     =			initializer_range
        lowerCAmelCase     =			layer_norm_eps
        lowerCAmelCase     =			scale_embedding
        lowerCAmelCase     =			use_cache
        lowerCAmelCase     =			layerdrop
        lowerCAmelCase     =			activation_dropout
        super().__init__(pad_token_id=UpperCAmelCase__    ,      bos_token_id=UpperCAmelCase__    ,      eos_token_id=UpperCAmelCase__    ,      **UpperCAmelCase__    )






from typing import TYPE_CHECKING

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


__UpperCamelCase		:       int									=     {'configuration_yolos': ['YOLOS_PRETRAINED_CONFIG_ARCHIVE_MAP', 'YolosConfig', 'YolosOnnxConfig']}

try:
					if not is_vision_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					__UpperCamelCase		:       int									=     ['YolosFeatureExtractor']
					__UpperCamelCase		:       Union[str, Any]									=     ['YolosImageProcessor']

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					__UpperCamelCase		:       str									=     [
					    'YOLOS_PRETRAINED_MODEL_ARCHIVE_LIST',
					    'YolosForObjectDetection',
					    'YolosModel',
					    'YolosPreTrainedModel',
					]


if TYPE_CHECKING:
					from .configuration_yolos import YOLOS_PRETRAINED_CONFIG_ARCHIVE_MAP, YolosConfig, YolosOnnxConfig

					try:
										if not is_vision_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .feature_extraction_yolos import YolosFeatureExtractor
										from .image_processing_yolos import YolosImageProcessor

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_yolos import (
										    YOLOS_PRETRAINED_MODEL_ARCHIVE_LIST,
										    YolosForObjectDetection,
										    YolosModel,
										    YolosPreTrainedModel,
										)


else:
					import sys

					__UpperCamelCase		:       int									=     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)





