


'''simple docstring'''



import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..bit import BitConfig


__A		=logging.get_logger(__name__)

__A		={
    'Intel/dpt-large': 'https://huggingface.co/Intel/dpt-large/resolve/main/config.json',
    # See all DPT models at https://huggingface.co/models?filter=dpt
}


class 						_snake_case    (   a__		):
					lowerCAmelCase					:Optional[int]            =    '''dpt'''




					def __init__(					self							,							_lowerCamelCase=768							,							_lowerCamelCase=12							,							_lowerCamelCase=12							,							_lowerCamelCase=3072							,							_lowerCamelCase="gelu"							,							_lowerCamelCase=0.0							,							_lowerCamelCase=0.0							,							_lowerCamelCase=0.02							,							_lowerCamelCase=1e-1_2							,							_lowerCamelCase=384							,							_lowerCamelCase=16							,							_lowerCamelCase=3							,							_lowerCamelCase=False							,							_lowerCamelCase=True							,							_lowerCamelCase=[2, 5, 8, 11]							,							_lowerCamelCase="project"							,							_lowerCamelCase=[4, 2, 1, 0.5]							,							_lowerCamelCase=[96, 192, 384, 768]							,							_lowerCamelCase=256							,							_lowerCamelCase=-1							,							_lowerCamelCase=False							,							_lowerCamelCase=True							,							_lowerCamelCase=0.4							,							_lowerCamelCase=255							,							_lowerCamelCase=0.1							,							_lowerCamelCase=[1, 1024, 24, 24]							,							_lowerCamelCase=[0, 1]							,							_lowerCamelCase=None							,							**_lowerCamelCase							,							):
								super().__init__(**__lowerCamelCase)

								UpperCAmelCase__     :    Any         =   hidden_size
								UpperCAmelCase__     :    Dict         =   is_hybrid

								if self.is_hybrid:
											if backbone_config is None:
														logger.info("""Initializing the config with a `BiT` backbone.""")
														UpperCAmelCase__     :    int         =   {
														    "global_padding": "same",
														    "layer_type": "bottleneck",
														    "depths": [3, 4, 9],
														    "out_features": ["stage1", "stage2", "stage3"],
														    "embedding_dynamic_padding": True,
														}
														UpperCAmelCase__     :    Dict         =   BitConfig(**__lowerCamelCase)
											elif isinstance(__lowerCamelCase							,							__lowerCamelCase):
														logger.info("""Initializing the config with a `BiT` backbone.""")
														UpperCAmelCase__     :    Optional[Any]         =   BitConfig(**__lowerCamelCase)
											elif isinstance(__lowerCamelCase							,							__lowerCamelCase):
														UpperCAmelCase__     :    List[str]         =   backbone_config
											else:
														raise ValueError(
														    f'''backbone_config must be a dictionary or a `PretrainedConfig`, got {backbone_config.__class__}.''')

											UpperCAmelCase__     :    Any         =   backbone_featmap_shape
											UpperCAmelCase__     :    Optional[Any]         =   neck_ignore_stages

											if readout_type != "project":
														raise ValueError("""Readout type must be 'project' when using `DPT-hybrid` mode.""")
								else:
											UpperCAmelCase__     :    List[Any]         =   None
											UpperCAmelCase__     :    List[str]         =   None
											UpperCAmelCase__     :    int         =   []

								UpperCAmelCase__     :    Any         =   num_hidden_layers
								UpperCAmelCase__     :    List[str]         =   num_attention_heads
								UpperCAmelCase__     :    Any         =   intermediate_size
								UpperCAmelCase__     :    int         =   hidden_act
								UpperCAmelCase__     :    int         =   hidden_dropout_prob
								UpperCAmelCase__     :    Tuple         =   attention_probs_dropout_prob
								UpperCAmelCase__     :    str         =   initializer_range
								UpperCAmelCase__     :    Optional[Any]         =   layer_norm_eps
								UpperCAmelCase__     :    Optional[Any]         =   image_size
								UpperCAmelCase__     :    Any         =   patch_size
								UpperCAmelCase__     :    List[Any]         =   num_channels
								UpperCAmelCase__     :    Union[str, Any]         =   qkv_bias
								UpperCAmelCase__     :    List[Any]         =   backbone_out_indices
								if readout_type not in ["ignore", "add", "project"]:
											raise ValueError("""Readout_type must be one of ['ignore', 'add', 'project']""")
								UpperCAmelCase__     :    int         =   readout_type
								UpperCAmelCase__     :    Union[str, Any]         =   reassemble_factors
								UpperCAmelCase__     :    str         =   neck_hidden_sizes
								UpperCAmelCase__     :    Optional[Any]         =   fusion_hidden_size
								UpperCAmelCase__     :    Union[str, Any]         =   head_in_index
								UpperCAmelCase__     :    List[str]         =   use_batch_norm_in_fusion_residual
								# auxiliary head attributes (semantic segmentation)
								UpperCAmelCase__     :    str         =   use_auxiliary_head
								UpperCAmelCase__     :    Union[str, Any]         =   auxiliary_loss_weight
								UpperCAmelCase__     :    Any         =   semantic_loss_ignore_index
								UpperCAmelCase__     :    Any         =   semantic_classifier_dropout




					def  snake_case__  (					self):
								UpperCAmelCase__     :    str         =   copy.deepcopy(self.__dict__)

								if output["backbone_config"] is not None:
											UpperCAmelCase__     :    Optional[Any]         =   self.backbone_config.to_dict()

								UpperCAmelCase__     :    Optional[int]         =   self.__class__.model_type
								return output



import warnings

from ...utils import logging
from .image_processing_beit import BeitImageProcessor


lowerCAmelCase__      		= logging.get_logger(__name__)







class      lowerCAmelCase__       (				a):




     '''simple docstring'''


     def __init__(						self ,						*__lowerCamelCase ,						**__lowerCamelCase)			->				None:
            warnings.warn(
                "The class BeitFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
                " use BeitImageProcessor instead." ,						__lowerCamelCase ,						)
            super().__init__(*__lowerCamelCase ,						**__lowerCamelCase)
