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


__lowerCamelCase     :					Optional[int]				  =						logging.get_logger(__name__)

__lowerCamelCase     :					Tuple				  =						{
    '''facebook/opt-125m''': '''https://huggingface.co/facebook/opt-125m/blob/main/config.json''',
    '''facebook/opt-350m''': '''https://huggingface.co/facebook/opt-350m/blob/main/config.json''',
    '''facebook/opt-1.3b''': '''https://huggingface.co/facebook/opt-1.3b/blob/main/config.json''',
    '''facebook/opt-2.7b''': '''https://huggingface.co/facebook/opt-2.7b/blob/main/config.json''',
    '''facebook/opt-6.7b''': '''https://huggingface.co/facebook/opt-6.7b/blob/main/config.json''',
    '''facebook/opt-13b''': '''https://huggingface.co/facebook/opt-13b/blob/main/config.json''',
}







class __snake_case							(		lowerCamelCase_						):
   lowerCAmelCase_								=				"opt"
   lowerCAmelCase_								=				["past_key_values"]




   def __init__(       self     :							Union[str, Any]			,      _lowercase     :							List[Any]=5_02_72			,      _lowercase     :							Dict=7_68			,      _lowercase     :							Any=12			,      _lowercase     :							List[str]=30_72			,      _lowercase     :							str=20_48			,      _lowercase     :							Union[str, Any]=True			,      _lowercase     :							str=False			,      _lowercase     :							int=None			,      _lowercase     :							str=0.1			,      _lowercase     :							int=0.0			,      _lowercase     :							List[str]=12			,      _lowercase     :							Tuple="relu"			,      _lowercase     :							int=0.0			,      _lowercase     :							Optional[Any]=0.02			,      _lowercase     :							Any=True			,      _lowercase     :							Optional[Any]=1			,      _lowercase     :							Any=2			,      _lowercase     :							Optional[Any]=2			,      _lowercase     :							Optional[Any]=True			,      _lowercase     :							Any=True			,      **_lowercase     :							int			,      ):



     """simple docstring"""






     super().__init__(
         pad_token_id=_lowercase			,      bos_token_id=_lowercase			,      eos_token_id=_lowercase			,      **_lowercase			,      )
     SCREAMING_SNAKE_CASE__     				= vocab_size
     SCREAMING_SNAKE_CASE__     				= max_position_embeddings
     SCREAMING_SNAKE_CASE__     				= num_attention_heads
     SCREAMING_SNAKE_CASE__     				= word_embed_proj_dim if word_embed_proj_dim is not None else hidden_size
     SCREAMING_SNAKE_CASE__     				= ffn_dim
     SCREAMING_SNAKE_CASE__     				= hidden_size
     SCREAMING_SNAKE_CASE__     				= num_hidden_layers
     SCREAMING_SNAKE_CASE__     				= dropout
     SCREAMING_SNAKE_CASE__     				= attention_dropout
     SCREAMING_SNAKE_CASE__     				= activation_function
     SCREAMING_SNAKE_CASE__     				= init_std
     SCREAMING_SNAKE_CASE__     				= layerdrop
     SCREAMING_SNAKE_CASE__     				= use_cache
     SCREAMING_SNAKE_CASE__     				= do_layer_norm_before
     # We keep these variables at `True` for backward compatibility.
     SCREAMING_SNAKE_CASE__     				= enable_bias
     SCREAMING_SNAKE_CASE__     				= layer_norm_elementwise_affine

     # Note that the only purpose of `_remove_final_layer_norm` is to keep backward compatibility
     # with checkpoints that have been fine-tuned before transformers v4.20.1
     # see https://github.com/facebookresearch/metaseq/pull/164
     SCREAMING_SNAKE_CASE__     				= _remove_final_layer_norm

from typing import TYPE_CHECKING

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


__lowerCamelCase     :					Optional[int]				  =						{'''configuration_vilt''': ['''VILT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''ViltConfig''']}

try:
   if not is_vision_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   __lowerCamelCase     :					Dict				  =						['''ViltFeatureExtractor''']
   __lowerCamelCase     :					Dict				  =						['''ViltImageProcessor''']
   __lowerCamelCase     :					str				  =						['''ViltProcessor''']

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   __lowerCamelCase     :					Any				  =						[
       '''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

   __lowerCamelCase     :					List[str]				  =						_LazyModule(__name__, globals()['''__file__'''], _import_structure)
