






import copy
from typing import Dict, Optional

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


lowercase_    					=					logging.get_logger(__name__)

lowercase_    					=					{
    '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  snake_case		(							lowercase__						):


   '''simple docstring'''

   A_						:     List[str]									=			'''oneformer'''
   A_						:     List[str]									=			{'''hidden_size''': '''hidden_dim'''}


   def __init__(     self			:					Tuple,	_lowerCamelCase			:					Optional[Dict] = None,	_lowerCamelCase			:					int = 2_55,	_lowerCamelCase			:					int = 1_50,	_lowerCamelCase			:					int = 0.1,	_lowerCamelCase			:					float = 2.0,	_lowerCamelCase			:					float = 5.0,	_lowerCamelCase			:					float = 5.0,	_lowerCamelCase			:					float = 0.5,	_lowerCamelCase			:					float = 0.07,	_lowerCamelCase			:					int = 1_25_44,	_lowerCamelCase			:					float = 3.0,	_lowerCamelCase			:					float = 0.75,	_lowerCamelCase			:					float = 0.02,	_lowerCamelCase			:					float = 1.0,	_lowerCamelCase			:					float = 1e-05,	_lowerCamelCase			:					bool = False,	_lowerCamelCase			:					bool = True,	_lowerCamelCase			:					bool = True,	_lowerCamelCase			:					Optional[list] = [4, 8, 16, 32],	_lowerCamelCase			:					int = 77,	_lowerCamelCase			:					int = 2_56,	_lowerCamelCase			:					int = 77,	_lowerCamelCase			:					int = 6,	_lowerCamelCase			:					int = 4_94_08,	_lowerCamelCase			:					int = 2,	_lowerCamelCase			:					int = 16,	_lowerCamelCase			:					int = 2_56,	_lowerCamelCase			:					int = 2_56,	_lowerCamelCase			:					int = 2_56,	_lowerCamelCase			:					int = 10_24,	_lowerCamelCase			:					str = "GN",	_lowerCamelCase			:					int = 6,	_lowerCamelCase			:					int = 10,	_lowerCamelCase			:					bool = True,	_lowerCamelCase			:					int = 8,	_lowerCamelCase			:					float = 0.1,	_lowerCamelCase			:					int = 20_48,	_lowerCamelCase			:					bool = False,	_lowerCamelCase			:					bool = False,	_lowerCamelCase			:					int = 2,	_lowerCamelCase			:					int = 4,	**_lowerCamelCase			:					Union[str, Any],	):

     '''simple docstring'''
     if backbone_config is None:
       logger.info('''`backbone_config` is unset. Initializing the config with the default `Swin` backbone.'''  )
       __A						      =			CONFIG_MAPPING['''swin'''](
           image_size=2_24,	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=lowerCAmelCase__,	out_features=['''stage1''', '''stage2''', '''stage3''', '''stage4'''],	)
     elif isinstance(lowerCAmelCase__,	lowerCAmelCase__  ):
       __A						      =			backbone_config.get('''model_type'''  )
       __A						      =			CONFIG_MAPPING[backbone_model_type]
       __A						      =			config_class.from_dict(lowerCAmelCase__  )

     __A						      =			backbone_config

     __A						      =			ignore_value
     __A						      =			num_queries
     __A						      =			no_object_weight
     __A						      =			class_weight
     __A						      =			mask_weight
     __A						      =			dice_weight
     __A						      =			contrastive_weight
     __A						      =			contrastive_temperature
     __A						      =			train_num_points
     __A						      =			oversample_ratio
     __A						      =			importance_sample_ratio
     __A						      =			init_std
     __A						      =			init_xavier_std
     __A						      =			layer_norm_eps
     __A						      =			is_training
     __A						      =			use_auxiliary_loss
     __A						      =			output_auxiliary_logits
     __A						      =			strides
     __A						      =			task_seq_len
     __A						      =			text_encoder_width
     __A						      =			text_encoder_context_length
     __A						      =			text_encoder_num_layers
     __A						      =			text_encoder_vocab_size
     __A						      =			text_encoder_proj_layers
     __A						      =			text_encoder_n_ctx
     __A						      =			conv_dim
     __A						      =			mask_dim
     __A						      =			hidden_dim
     __A						      =			encoder_feedforward_dim
     __A						      =			norm
     __A						      =			encoder_layers
     __A						      =			decoder_layers
     __A						      =			use_task_norm
     __A						      =			num_attention_heads
     __A						      =			dropout
     __A						      =			dim_feedforward
     __A						      =			pre_norm
     __A						      =			enforce_input_proj
     __A						      =			query_dec_layers
     __A						      =			common_stride
     __A						      =			decoder_layers

     super().__init__(**lowerCAmelCase__  )






   def     _SCREAMING_SNAKE_CASE    (     self			:					Dict  ):

     '''simple docstring'''
     __A						      =			copy.deepcopy(self.__dict__  )
     __A						      =			self.backbone_config.to_dict()
     __A						      =			self.__class__.model_type
     return output












"""simple docstring"""


from collections import OrderedDict
from dataclasses import fields
from typing import Any, Tuple

import numpy as np

from .import_utils import is_torch_available



def  lowerCAmelCase    (   __UpperCamelCase			):




  """simple docstring"""







  if is_torch_available():
    import torch

    if isinstance(__UpperCamelCase		,	torch.Tensor			):
      return True

  return isinstance(__UpperCamelCase		,	np.ndarray			)





class  snake_case		(							_lowerCAmelCase						):


   '''simple docstring'''

   def     _SCREAMING_SNAKE_CASE    (     self			:					Dict  ):

     '''simple docstring'''
     __A						      =			fields(self  )

     # Safety and consistency checks
     if not len(_lowerCamelCase  ):
       raise ValueError(f'{self.__class__.__name__} has no fields.'  )

     __A						      =			getattr(self,	class_fields[0].name  )
     __A						      =			all(getattr(self,	field.name  ) is None for field in class_fields[1:]  )

     if other_fields_are_none and isinstance(_lowerCamelCase,	_lowerCamelCase  ):
       for key, value in first_field.items():
         __A						      =			value
     else:
       for field in class_fields:
         __A						      =			getattr(self,	field.name  )
         if v is not None:
           __A						      =			v


   def __delitem__(     self			:					Dict,	*_lowerCamelCase			:					int,	**_lowerCamelCase			:					Any  ):

     '''simple docstring'''
     raise Exception(f'You cannot use ``__delitem__`` on a {self.__class__.__name__} instance.'  )


   def     _SCREAMING_SNAKE_CASE    (     self			:					List[Any],	*_lowerCamelCase			:					List[str],	**_lowerCamelCase			:					str  ):

     '''simple docstring'''
     raise Exception(f'You cannot use ``setdefault`` on a {self.__class__.__name__} instance.'  )


   def     _SCREAMING_SNAKE_CASE    (     self			:					Any,	*_lowerCamelCase			:					Optional[Any],	**_lowerCamelCase			:					str  ):

     '''simple docstring'''
     raise Exception(f'You cannot use ``pop`` on a {self.__class__.__name__} instance.'  )


   def     _SCREAMING_SNAKE_CASE    (     self			:					List[str],	*_lowerCamelCase			:					Any,	**_lowerCamelCase			:					Optional[int]  ):

     '''simple docstring'''
     raise Exception(f'You cannot use ``update`` on a {self.__class__.__name__} instance.'  )


   def __getitem__(     self			:					int,	_lowerCamelCase			:					List[Any]  ):

     '''simple docstring'''
     if isinstance(_lowerCamelCase,	_lowerCamelCase  ):
       __A						      =			dict(self.items()  )
       return inner_dict[k]
     else:
       return self.to_tuple()[k]


   def __setattr__(     self			:					Optional[int],	_lowerCamelCase			:					Tuple,	_lowerCamelCase			:					Union[str, Any]  ):

     '''simple docstring'''
     if name in self.keys() and value is not None:
       # Don't call self.__setitem__ to avoid recursion errors
       super().__setitem__(_lowerCamelCase,	_lowerCamelCase  )
     super().__setattr__(_lowerCamelCase,	_lowerCamelCase  )


   def __setitem__(     self			:					List[str],	_lowerCamelCase			:					Optional[int],	_lowerCamelCase			:					str  ):

     '''simple docstring'''
     # Will raise a KeyException if needed
     super().__setitem__(_lowerCamelCase,	_lowerCamelCase  )
     # Don't call self.__setattr__ to avoid recursion errors
     super().__setattr__(_lowerCamelCase,	_lowerCamelCase  )






   def     _SCREAMING_SNAKE_CASE    (     self			:					Any  ):

     '''simple docstring'''
     return tuple(self[k] for k in self.keys()  )




