



"""simple docstring"""





import copy
from typing import Dict, Optional

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING
from ..detr import DetrConfig
from ..swin import SwinConfig


lowerCamelCase       	=						{
    """facebook/maskformer-swin-base-ade""": (
        """https://huggingface.co/facebook/maskformer-swin-base-ade/blob/main/config.json"""
    )
    # See all MaskFormer models at https://huggingface.co/models?filter=maskformer
}

lowerCamelCase       	=						logging.get_logger(__name__)
class 				lowercase__       (   SCREAMING_SNAKE_CASE				):







       '''simple docstring'''


       UpperCamelCase						=					'''maskformer'''
       UpperCamelCase						=					{'''hidden_size''': '''mask_feature_size'''}
       UpperCamelCase						=					['''resnet''', '''swin''']
       UpperCamelCase						=					['''detr''']



       def __init__(							self      :  Optional[int]		,    _UpperCAmelCase      :  int = 256		,    _UpperCAmelCase      :  int = 256		,    _UpperCAmelCase      :  float = 0.1		,    _UpperCAmelCase      :  bool = False		,    _UpperCAmelCase      :  Optional[Dict] = None		,    _UpperCAmelCase      :  Optional[Dict] = None		,    _UpperCAmelCase      :  float = 0.02		,    _UpperCAmelCase      :  float = 1.0		,    _UpperCAmelCase      :  float = 1.0		,    _UpperCAmelCase      :  float = 1.0		,    _UpperCAmelCase      :  float = 20.0		,    _UpperCAmelCase      :  Optional[bool] = None		,    **_UpperCAmelCase      :  Dict		,    )			->						Union[str, Any]:


             '''simple docstring'''




             if backbone_config is None:
                   # fall back to https://huggingface.co/microsoft/swin-base-patch4-window12-384-in22k
                   UpperCAmelCase_      			=							SwinConfig(
                       image_size=384		,    in_channels=3		,    patch_size=4		,    embed_dim=128		,    depths=[2, 2, 18, 2]		,    num_heads=[4, 8, 16, 32]		,    window_size=12		,    drop_path_rate=0.3		,    out_features=["stage1", "stage2", "stage3", "stage4"]		,    )

             if isinstance(_UpperCAmelCase		,    _UpperCAmelCase   ):
                   UpperCAmelCase_      			=							backbone_config.pop("model_type"   )
                   UpperCAmelCase_      			=							CONFIG_MAPPING[backbone_model_type]
                   UpperCAmelCase_      			=							config_class.from_dict(_UpperCAmelCase   )

             # verify that the backbone is supported
             if backbone_config.model_type not in self.backbones_supported:
                   logger.warning_once(
                       F"""Backbone {backbone_config.model_type} is not a supported model and may not be compatible with MaskFormer. """
                       F"""Supported model types: {','.join(self.backbones_supported   )}"""   )

             if decoder_config is None:
                   # fall back to https://huggingface.co/facebook/detr-resnet-50
                   UpperCAmelCase_      			=							DetrConfig()
             else:
                   # verify that the decoder is supported
                   UpperCAmelCase_      			=							(
                       decoder_config.pop("model_type"   ) if isinstance(_UpperCAmelCase		,    _UpperCAmelCase   ) else decoder_config.model_type
                   )
                   if decoder_type not in self.decoders_supported:
                         raise ValueError(
                             F"""Transformer Decoder {decoder_type} not supported, please use one of"""
                             F""" {','.join(self.decoders_supported   )}"""   )
                   if isinstance(_UpperCAmelCase		,    _UpperCAmelCase   ):
                         UpperCAmelCase_      			=							CONFIG_MAPPING[decoder_type]
                         UpperCAmelCase_      			=							config_class.from_dict(_UpperCAmelCase   )

             UpperCAmelCase_      			=							backbone_config
             UpperCAmelCase_      			=							decoder_config
             # main feature dimension for the model
             UpperCAmelCase_      			=							fpn_feature_size
             UpperCAmelCase_      			=							mask_feature_size
             # initializer
             UpperCAmelCase_      			=							init_std
             UpperCAmelCase_      			=							init_xavier_std
             # Hungarian matcher && loss
             UpperCAmelCase_      			=							cross_entropy_weight
             UpperCAmelCase_      			=							dice_weight
             UpperCAmelCase_      			=							mask_weight
             UpperCAmelCase_      			=							use_auxiliary_loss
             UpperCAmelCase_      			=							no_object_weight
             UpperCAmelCase_      			=							output_auxiliary_logits

             UpperCAmelCase_      			=							self.decoder_config.encoder_attention_heads
             UpperCAmelCase_      			=							self.decoder_config.num_hidden_layers
             super().__init__(**_UpperCAmelCase   )



       @classmethod
       def 					lowercase__    (							cls      :  Any		,    _UpperCAmelCase      :  PretrainedConfig		,    _UpperCAmelCase      :  PretrainedConfig		,    **_UpperCAmelCase      :  List[Any]   )			->						Optional[int]:


             '''simple docstring'''




             return cls(
                 backbone_config=_UpperCAmelCase		,    decoder_config=_UpperCAmelCase		,    **_UpperCAmelCase		,    )







       def 					lowercase__    (							self      :  List[str]   )			->						Dict[str, any]:


             '''simple docstring'''




             UpperCAmelCase_      			=							copy.deepcopy(self.__dict__   )
             UpperCAmelCase_      			=							self.backbone_config.to_dict()
             UpperCAmelCase_      			=							self.decoder_config.to_dict()
             UpperCAmelCase_      			=							self.__class__.model_type
             return output




"""simple docstring"""





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


lowerCamelCase       	=						logging.get_logger(__name__)

lowerCamelCase       	=						{
    """RWKV/rwkv-4-169m-pile""": """https://huggingface.co/RWKV/rwkv-4-169m-pile/resolve/main/config.json""",
    """RWKV/rwkv-4-430m-pile""": """https://huggingface.co/RWKV/rwkv-4-430m-pile/resolve/main/config.json""",
    """RWKV/rwkv-4-1b5-pile""": """https://huggingface.co/RWKV/rwkv-4-1b5-pile/resolve/main/config.json""",
    """RWKV/rwkv-4-3b-pile""": """https://huggingface.co/RWKV/rwkv-4-3b-pile/resolve/main/config.json""",
    """RWKV/rwkv-4-7b-pile""": """https://huggingface.co/RWKV/rwkv-4-7b-pile/resolve/main/config.json""",
    """RWKV/rwkv-4-14b-pile""": """https://huggingface.co/RWKV/rwkv-4-14b-pile/resolve/main/config.json""",
    """RWKV/rwkv-raven-1b5""": """https://huggingface.co/RWKV/rwkv-raven-1b5/resolve/main/config.json""",
    """RWKV/rwkv-raven-3b""": """https://huggingface.co/RWKV/rwkv-raven-3b/resolve/main/config.json""",
    """RWKV/rwkv-raven-7b""": """https://huggingface.co/RWKV/rwkv-raven-7b/resolve/main/config.json""",
    """RWKV/rwkv-raven-14b""": """https://huggingface.co/RWKV/rwkv-raven-14b/resolve/main/config.json""",
}
class 				lowercase__       (   SCREAMING_SNAKE_CASE				):







       '''simple docstring'''


       UpperCamelCase						=					'''rwkv'''
       UpperCamelCase						=					{'''max_position_embeddings''': '''context_length'''}



       def __init__(							self      :  str		,    _UpperCAmelCase      :  int=50277		,    _UpperCAmelCase      :  Optional[Any]=1024		,    _UpperCAmelCase      :  str=4096		,    _UpperCAmelCase      :  Any=32		,    _UpperCAmelCase      :  Any=None		,    _UpperCAmelCase      :  Optional[int]=None		,    _UpperCAmelCase      :  Tuple=1e-5		,    _UpperCAmelCase      :  str=0		,    _UpperCAmelCase      :  Any=0		,    _UpperCAmelCase      :  Union[str, Any]=6		,    _UpperCAmelCase      :  Dict=False		,    _UpperCAmelCase      :  Any=True		,    **_UpperCAmelCase      :  Optional[Any]		,    )			->						str:


             '''simple docstring'''




             UpperCAmelCase_      			=							vocab_size
             UpperCAmelCase_      			=							context_length
             UpperCAmelCase_      			=							hidden_size
             UpperCAmelCase_      			=							num_hidden_layers
             UpperCAmelCase_      			=							attention_hidden_size if attention_hidden_size is not None else hidden_size
             UpperCAmelCase_      			=							intermediate_size if intermediate_size is not None else 4 * hidden_size
             UpperCAmelCase_      			=							layer_norm_epsilon
             UpperCAmelCase_      			=							rescale_every
             UpperCAmelCase_      			=							use_cache

             UpperCAmelCase_      			=							bos_token_id
             UpperCAmelCase_      			=							eos_token_id

             super().__init__(
                 tie_word_embeddings=_UpperCAmelCase		,    bos_token_id=_UpperCAmelCase		,    eos_token_id=_UpperCAmelCase		,    **_UpperCAmelCase   )




