



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


A:     Tuple										=	logging.get_logger(__name__)

A:     int										=	{
    'vinvino02/glpn-kitti': 'https://huggingface.co/vinvino02/glpn-kitti/resolve/main/config.json',
    # See all GLPN models at https://huggingface.co/models?filter=glpn
}



class    SCREAMING_SNAKE_CASE__						(      a__				):
   __lowerCAmelCase						:     Optional[int]		=		"""glpn"""

   def __init__(     self   ,  _SCREAMING_SNAKE_CASE=3   ,  _SCREAMING_SNAKE_CASE=4   ,  _SCREAMING_SNAKE_CASE=[2, 2, 2, 2]   ,  _SCREAMING_SNAKE_CASE=[8, 4, 2, 1]   ,  _SCREAMING_SNAKE_CASE=[32, 64, 160, 256]   ,  _SCREAMING_SNAKE_CASE=[7, 3, 3, 3]   ,  _SCREAMING_SNAKE_CASE=[4, 2, 2, 2]   ,  _SCREAMING_SNAKE_CASE=[1, 2, 5, 8]   ,  _SCREAMING_SNAKE_CASE=[4, 4, 4, 4]   ,  _SCREAMING_SNAKE_CASE="gelu"   ,  _SCREAMING_SNAKE_CASE=0.0   ,  _SCREAMING_SNAKE_CASE=0.0   ,  _SCREAMING_SNAKE_CASE=0.02   ,  _SCREAMING_SNAKE_CASE=0.1   ,  _SCREAMING_SNAKE_CASE=1E-6   ,  _SCREAMING_SNAKE_CASE=64   ,  _SCREAMING_SNAKE_CASE=10   ,  _SCREAMING_SNAKE_CASE=-1   ,  **_SCREAMING_SNAKE_CASE   ,  )						->   Optional[int]:





    '''simple docstring'''




    super().__init__(**lowercase__		)

    UpperCAmelCase			:      Tuple			=			num_channels
    UpperCAmelCase			:      Any			=			num_encoder_blocks
    UpperCAmelCase			:      Tuple			=			depths
    UpperCAmelCase			:      Union[str, Any]			=			sr_ratios
    UpperCAmelCase			:      List[str]			=			hidden_sizes
    UpperCAmelCase			:      Union[str, Any]			=			patch_sizes
    UpperCAmelCase			:      Optional[int]			=			strides
    UpperCAmelCase			:      Optional[int]			=			mlp_ratios
    UpperCAmelCase			:      int			=			num_attention_heads
    UpperCAmelCase			:      Dict			=			hidden_act
    UpperCAmelCase			:      int			=			hidden_dropout_prob
    UpperCAmelCase			:      Union[str, Any]			=			attention_probs_dropout_prob
    UpperCAmelCase			:      Dict			=			initializer_range
    UpperCAmelCase			:      Union[str, Any]			=			drop_path_rate
    UpperCAmelCase			:      Optional[int]			=			layer_norm_eps
    UpperCAmelCase			:      str			=			decoder_hidden_size
    UpperCAmelCase			:      Union[str, Any]			=			max_depth
    UpperCAmelCase			:      Any			=			head_in_index





"""simple docstring"""
from typing import TYPE_CHECKING

from ...utils import _LazyModule


A:     Dict										=	{"tokenization_bertweet": ["BertweetTokenizer"]}


if TYPE_CHECKING:
      from .tokenization_bertweet import BertweetTokenizer

else:
      import sys

      A:     int										=	_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
