"""simple docstring"""






import copy
from typing import Dict, Optional

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING


__A         =				logging.get_logger(__name__)

__A         =				{
    "shi-labs/oneformer_ade20k_swin_tiny": (
        "https://huggingface.co/shi-labs/oneformer_ade20k_swin_tiny/blob/main/config.json"
    ),
    # See all OneFormer models at https://huggingface.co/models?filter=oneformer
}


class 					UpperCAmelCase		(_UpperCAmelCase						):



    """simple docstring"""

    _UpperCAmelCase			:List[Any]							=				"oneformer"
    _UpperCAmelCase			:Dict							=				{"hidden_size": "hidden_dim"}






    def __init__(     self					,    _UpperCAmelCase = None					,    _UpperCAmelCase = 255					,    _UpperCAmelCase = 150					,    _UpperCAmelCase = 0.1					,    _UpperCAmelCase = 2.0					,    _UpperCAmelCase = 5.0					,    _UpperCAmelCase = 5.0					,    _UpperCAmelCase = 0.5					,    _UpperCAmelCase = 0.07					,    _UpperCAmelCase = 12544					,    _UpperCAmelCase = 3.0					,    _UpperCAmelCase = 0.75					,    _UpperCAmelCase = 0.02					,    _UpperCAmelCase = 1.0					,    _UpperCAmelCase = 1e-0_5					,    _UpperCAmelCase = False					,    _UpperCAmelCase = True					,    _UpperCAmelCase = True					,    _UpperCAmelCase = [4, 8, 16, 32]					,    _UpperCAmelCase = 77					,    _UpperCAmelCase = 256					,    _UpperCAmelCase = 77					,    _UpperCAmelCase = 6					,    _UpperCAmelCase = 49408					,    _UpperCAmelCase = 2					,    _UpperCAmelCase = 16					,    _UpperCAmelCase = 256					,    _UpperCAmelCase = 256					,    _UpperCAmelCase = 256					,    _UpperCAmelCase = 1024					,    _UpperCAmelCase = "GN"					,    _UpperCAmelCase = 6					,    _UpperCAmelCase = 10					,    _UpperCAmelCase = True					,    _UpperCAmelCase = 8					,    _UpperCAmelCase = 0.1					,    _UpperCAmelCase = 2048					,    _UpperCAmelCase = False					,    _UpperCAmelCase = False					,    _UpperCAmelCase = 2					,    _UpperCAmelCase = 4					,    **_UpperCAmelCase					,    ):
       if backbone_config is None:
          logger.info('''`backbone_config` is unset. Initializing the config with the default `Swin` backbone.'''							)
          lowercase__:     Union[str, Any]      =   CONFIG_MAPPING['''swin'''](
              image_size=224					,    in_channels=3					,    patch_size=4					,    embed_dim=96					,    depths=[2, 2, 6, 2]					,    num_heads=[3, 6, 12, 24]					,    window_size=7					,    drop_path_rate=0.3					,    use_absolute_embeddings=_UpperCAmelCase					,    out_features=['''stage1''', '''stage2''', '''stage3''', '''stage4''']					,    )
       elif isinstance(_UpperCAmelCase					,    _UpperCAmelCase							):
          lowercase__:     List[str]      =   backbone_config.get('''model_type'''							)
          lowercase__:     int      =   CONFIG_MAPPING[backbone_model_type]
          lowercase__:     Optional[Any]      =   config_class.from_dict(_UpperCAmelCase							)

       lowercase__:     List[Any]      =   backbone_config

       lowercase__:     Dict      =   ignore_value
       lowercase__:     Dict      =   num_queries
       lowercase__:     Dict      =   no_object_weight
       lowercase__:     Optional[Any]      =   class_weight
       lowercase__:     Dict      =   mask_weight
       lowercase__:     Optional[Any]      =   dice_weight
       lowercase__:     List[str]      =   contrastive_weight
       lowercase__:     Any      =   contrastive_temperature
       lowercase__:     Optional[Any]      =   train_num_points
       lowercase__:     int      =   oversample_ratio
       lowercase__:     List[str]      =   importance_sample_ratio
       lowercase__:     Optional[int]      =   init_std
       lowercase__:     List[str]      =   init_xavier_std
       lowercase__:     List[str]      =   layer_norm_eps
       lowercase__:     Optional[Any]      =   is_training
       lowercase__:     Any      =   use_auxiliary_loss
       lowercase__:     List[Any]      =   output_auxiliary_logits
       lowercase__:     List[str]      =   strides
       lowercase__:     Optional[int]      =   task_seq_len
       lowercase__:     Optional[Any]      =   text_encoder_width
       lowercase__:     int      =   text_encoder_context_length
       lowercase__:     Union[str, Any]      =   text_encoder_num_layers
       lowercase__:     Optional[Any]      =   text_encoder_vocab_size
       lowercase__:     Union[str, Any]      =   text_encoder_proj_layers
       lowercase__:     Union[str, Any]      =   text_encoder_n_ctx
       lowercase__:     List[str]      =   conv_dim
       lowercase__:     List[Any]      =   mask_dim
       lowercase__:     Any      =   hidden_dim
       lowercase__:     Union[str, Any]      =   encoder_feedforward_dim
       lowercase__:     str      =   norm
       lowercase__:     Tuple      =   encoder_layers
       lowercase__:     Union[str, Any]      =   decoder_layers
       lowercase__:     Dict      =   use_task_norm
       lowercase__:     List[str]      =   num_attention_heads
       lowercase__:     Optional[int]      =   dropout
       lowercase__:     int      =   dim_feedforward
       lowercase__:     str      =   pre_norm
       lowercase__:     int      =   enforce_input_proj
       lowercase__:     Optional[int]      =   query_dec_layers
       lowercase__:     Any      =   common_stride
       lowercase__:     Dict      =   decoder_layers

       super().__init__(**_UpperCAmelCase							)






    def _snake_case    (     self							):
       lowercase__:     Optional[int]      =   copy.deepcopy(self.__dict__							)
       lowercase__:     List[str]      =   self.backbone_config.to_dict()
       lowercase__:     Any      =   self.__class__.model_type
       return output

"""simple docstring"""






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


__A         =				logging.get_logger(__name__)

__A         =				{
    "uw-madison/yoso-4096": "https://huggingface.co/uw-madison/yoso-4096/resolve/main/config.json",
    # See all YOSO models at https://huggingface.co/models?filter=yoso
}


class 					UpperCAmelCase		(_UpperCAmelCase						):



    """simple docstring"""

    _UpperCAmelCase			:Tuple							=				"yoso"






    def __init__(     self					,    _UpperCAmelCase=50265					,    _UpperCAmelCase=768					,    _UpperCAmelCase=12					,    _UpperCAmelCase=12					,    _UpperCAmelCase=3072					,    _UpperCAmelCase="gelu"					,    _UpperCAmelCase=0.1					,    _UpperCAmelCase=0.1					,    _UpperCAmelCase=4096					,    _UpperCAmelCase=1					,    _UpperCAmelCase=0.02					,    _UpperCAmelCase=1e-1_2					,    _UpperCAmelCase="absolute"					,    _UpperCAmelCase=True					,    _UpperCAmelCase=9					,    _UpperCAmelCase=64					,    _UpperCAmelCase=None					,    _UpperCAmelCase=True					,    _UpperCAmelCase=True					,    _UpperCAmelCase=1					,    _UpperCAmelCase=0					,    _UpperCAmelCase=2					,    **_UpperCAmelCase					,    ):
       super().__init__(pad_token_id=_UpperCAmelCase					,    bos_token_id=_UpperCAmelCase					,    eos_token_id=_UpperCAmelCase					,    **_UpperCAmelCase							)

       lowercase__:     int      =   vocab_size
       lowercase__:     List[str]      =   max_position_embeddings
       lowercase__:     Tuple      =   hidden_size
       lowercase__:     Optional[Any]      =   num_hidden_layers
       lowercase__:     Optional[int]      =   num_attention_heads
       lowercase__:     List[Any]      =   intermediate_size
       lowercase__:     Union[str, Any]      =   hidden_act
       lowercase__:     int      =   hidden_dropout_prob
       lowercase__:     Optional[Any]      =   attention_probs_dropout_prob
       lowercase__:     List[Any]      =   initializer_range
       lowercase__:     Optional[Any]      =   type_vocab_size
       lowercase__:     int      =   layer_norm_eps
       lowercase__:     Optional[Any]      =   position_embedding_type
       lowercase__:     int      =   use_expectation
       lowercase__:     List[str]      =   hash_code_len
       lowercase__:     Union[str, Any]      =   num_hash
       lowercase__:     Any      =   conv_window
       lowercase__:     Dict      =   use_fast_hash
       lowercase__:     Dict      =   lsh_backward
