

from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowerCAmelCase__     :   Optional[Any]       = logging.get_logger(__name__)

lowerCAmelCase__     :   Optional[int]       = {
    "junnyu/roformer_chinese_small": "https://huggingface.co/junnyu/roformer_chinese_small/resolve/main/config.json",
    "junnyu/roformer_chinese_base": "https://huggingface.co/junnyu/roformer_chinese_base/resolve/main/config.json",
    "junnyu/roformer_chinese_char_small": (
        "https://huggingface.co/junnyu/roformer_chinese_char_small/resolve/main/config.json"
    ),
    "junnyu/roformer_chinese_char_base": (
        "https://huggingface.co/junnyu/roformer_chinese_char_base/resolve/main/config.json"
    ),
    "junnyu/roformer_small_discriminator": (
        "https://huggingface.co/junnyu/roformer_small_discriminator/resolve/main/config.json"
    ),
    "junnyu/roformer_small_generator": (
        "https://huggingface.co/junnyu/roformer_small_generator/resolve/main/config.json"
    ),
    # See all RoFormer models at https://huggingface.co/models?filter=roformer
}






class 						__magic_name__    (       _snake_case    ):
 UpperCAmelCase							    =						"""roformer"""


 def __init__(						self		: Optional[int]			,						lowerCAmelCase__		: List[str]=5_0_0_0_0			,						lowerCAmelCase__		: str=None			,						lowerCAmelCase__		: Union[str, Any]=7_6_8			,						lowerCAmelCase__		: Dict=1_2			,						lowerCAmelCase__		: int=1_2			,						lowerCAmelCase__		: Tuple=3_0_7_2			,						lowerCAmelCase__		: Tuple="gelu"			,						lowerCAmelCase__		: str=0.1			,						lowerCAmelCase__		: Union[str, Any]=0.1			,						lowerCAmelCase__		: Dict=1_5_3_6			,						lowerCAmelCase__		: Dict=2			,						lowerCAmelCase__		: Any=0.02			,						lowerCAmelCase__		: Tuple=1e-1_2			,						lowerCAmelCase__		: Any=0			,						lowerCAmelCase__		: List[Any]=False			,						lowerCAmelCase__		: Tuple=True			,						**lowerCAmelCase__		: int			,						)    ->      Dict:
   super().__init__(pad_token_id=lowerCAmelCase__			,						**lowerCAmelCase__    )

   UpperCAmelCase					      =  vocab_size
   UpperCAmelCase					      =  hidden_size if embedding_size is None else embedding_size
   UpperCAmelCase					      =  hidden_size
   UpperCAmelCase					      =  num_hidden_layers
   UpperCAmelCase					      =  num_attention_heads
   UpperCAmelCase					      =  hidden_act
   UpperCAmelCase					      =  intermediate_size
   UpperCAmelCase					      =  hidden_dropout_prob
   UpperCAmelCase					      =  attention_probs_dropout_prob
   UpperCAmelCase					      =  max_position_embeddings
   UpperCAmelCase					      =  type_vocab_size
   UpperCAmelCase					      =  initializer_range
   UpperCAmelCase					      =  layer_norm_eps
   UpperCAmelCase					      =  rotary_value
   UpperCAmelCase					      =  use_cache






class 						__magic_name__    (       _snake_case    ):


 @property
 def _UpperCamelCase	(						self		: int    )    ->      Mapping[str, Mapping[int, str]]:
   if self.task == "multiple-choice":
     UpperCAmelCase					      =  {0: "batch", 1: "choice", 2: "sequence"}
   else:
     UpperCAmelCase					      =  {0: "batch", 1: "sequence"}
   UpperCAmelCase					      =  {0: "batch", 1: "sequence"}
   return OrderedDict(
       [
           ("input_ids", dynamic_axis),
           ("attention_mask", dynamic_axis),
           ("token_type_ids", dynamic_axis),
       ]    )






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


lowerCAmelCase__       = logging.get_logger(__name__)

lowerCAmelCase__       = {
    "unc-nlp/lxmert-base-uncased": "https://huggingface.co/unc-nlp/lxmert-base-uncased/resolve/main/config.json",
}






class 						__magic_name__    (       _snake_case    ):
 UpperCAmelCase							    =						"""lxmert"""
 UpperCAmelCase							    =						{}


 def __init__(						self		: int			,						lowerCAmelCase__		: Any=3_0_5_2_2			,						lowerCAmelCase__		: List[str]=7_6_8			,						lowerCAmelCase__		: Union[str, Any]=1_2			,						lowerCAmelCase__		: List[Any]=9_5_0_0			,						lowerCAmelCase__		: Any=1_6_0_0			,						lowerCAmelCase__		: Union[str, Any]=4_0_0			,						lowerCAmelCase__		: Tuple=3_0_7_2			,						lowerCAmelCase__		: Dict="gelu"			,						lowerCAmelCase__		: Tuple=0.1			,						lowerCAmelCase__		: Tuple=0.1			,						lowerCAmelCase__		: int=5_1_2			,						lowerCAmelCase__		: List[str]=2			,						lowerCAmelCase__		: List[str]=0.02			,						lowerCAmelCase__		: str=1e-1_2			,						lowerCAmelCase__		: str=9			,						lowerCAmelCase__		: int=5			,						lowerCAmelCase__		: Optional[int]=5			,						lowerCAmelCase__		: List[Any]=2_0_4_8			,						lowerCAmelCase__		: Any=4			,						lowerCAmelCase__		: Dict=6.67			,						lowerCAmelCase__		: Any=True			,						lowerCAmelCase__		: Union[str, Any]=True			,						lowerCAmelCase__		: Any=True			,						lowerCAmelCase__		: Tuple=True			,						lowerCAmelCase__		: Optional[Any]=True			,						lowerCAmelCase__		: Optional[int]=True			,						lowerCAmelCase__		: Tuple=True			,						**lowerCAmelCase__		: List[Any]			,						)    ->      Dict:
   UpperCAmelCase					      =  vocab_size
   UpperCAmelCase					      =  hidden_size
   UpperCAmelCase					      =  num_attention_heads
   UpperCAmelCase					      =  hidden_act
   UpperCAmelCase					      =  intermediate_size
   UpperCAmelCase					      =  hidden_dropout_prob
   UpperCAmelCase					      =  attention_probs_dropout_prob
   UpperCAmelCase					      =  max_position_embeddings
   UpperCAmelCase					      =  type_vocab_size
   UpperCAmelCase					      =  initializer_range
   UpperCAmelCase					      =  layer_norm_eps
   UpperCAmelCase					      =  num_qa_labels
   UpperCAmelCase					      =  num_object_labels
   UpperCAmelCase					      =  num_attr_labels
   UpperCAmelCase					      =  l_layers
   UpperCAmelCase					      =  x_layers
   UpperCAmelCase					      =  r_layers
   UpperCAmelCase					      =  visual_feat_dim
   UpperCAmelCase					      =  visual_pos_dim
   UpperCAmelCase					      =  visual_loss_normalizer
   UpperCAmelCase					      =  task_matched
   UpperCAmelCase					      =  task_mask_lm
   UpperCAmelCase					      =  task_obj_predict
   UpperCAmelCase					      =  task_qa
   UpperCAmelCase					      =  visual_obj_loss
   UpperCAmelCase					      =  visual_attr_loss
   UpperCAmelCase					      =  visual_feat_loss
   UpperCAmelCase					      =  {"vision": r_layers, "cross_encoder": x_layers, "language": l_layers}
   super().__init__(**lowerCAmelCase__    )



