

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


_lowerCamelCase							       =logging.get_logger(__name__)

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



class 		a_       (							lowerCamelCase_     ):



      """simple docstring"""







      __UpperCAmelCase					=      'biogpt'
      def __init__(      self     :							Optional[int]			,snake_case     :							Optional[int]=42384			,snake_case     :							List[Any]=1024			,snake_case     :							Optional[int]=24			,snake_case     :							Optional[int]=16			,snake_case     :							Tuple=4096			,snake_case     :							Any="gelu"			,snake_case     :							Tuple=0.1			,snake_case     :							List[Any]=0.1			,snake_case     :							Tuple=1024			,snake_case     :							Any=0.02			,snake_case     :							Optional[Any]=1e-12			,snake_case     :							List[str]=True			,snake_case     :							Optional[int]=True			,snake_case     :							Optional[Any]=0.0			,snake_case     :							Optional[Any]=0.0			,snake_case     :							Union[str, Any]=1			,snake_case     :							List[str]=0			,snake_case     :							Union[str, Any]=2			,**snake_case     :							Any			,):
           SCREAMING_SNAKE_CASE      						=vocab_size
           SCREAMING_SNAKE_CASE      						=max_position_embeddings
           SCREAMING_SNAKE_CASE      						=hidden_size
           SCREAMING_SNAKE_CASE      						=num_hidden_layers
           SCREAMING_SNAKE_CASE      						=num_attention_heads
           SCREAMING_SNAKE_CASE      						=intermediate_size
           SCREAMING_SNAKE_CASE      						=hidden_act
           SCREAMING_SNAKE_CASE      						=hidden_dropout_prob
           SCREAMING_SNAKE_CASE      						=attention_probs_dropout_prob
           SCREAMING_SNAKE_CASE      						=initializer_range
           SCREAMING_SNAKE_CASE      						=layer_norm_eps
           SCREAMING_SNAKE_CASE      						=scale_embedding
           SCREAMING_SNAKE_CASE      						=use_cache
           SCREAMING_SNAKE_CASE      						=layerdrop
           SCREAMING_SNAKE_CASE      						=activation_dropout
           super().__init__(pad_token_id=snake_case			,bos_token_id=snake_case			,eos_token_id=snake_case			,**snake_case				)






'''simple docstring'''





from typing import TYPE_CHECKING

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


lowercase_		       =  {"configuration_mmbt": ["MMBTConfig"]}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  lowercase_		       =  ["MMBTForClassification", "MMBTModel", "ModalEmbeddings"]


if TYPE_CHECKING:
  from .configuration_mmbt import MMBTConfig

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_mmbt import MMBTForClassification, MMBTModel, ModalEmbeddings

else:
  import sys

  lowercase_		       =  _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)



