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


__magic_name__								=logging.get_logger(__name__)

__magic_name__								={
    '''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     _A   (    __SCREAMING_SNAKE_CASE							):
  SCREAMING_SNAKE_CASE_	:	Any						='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_   ,				)		->      Union[str, Any]:





       '''simple docstring'''





       super().__init__(**_a	)

       UpperCamelCase__										=      num_channels
       UpperCamelCase__										=      num_encoder_blocks
       UpperCamelCase__										=      depths
       UpperCamelCase__										=      sr_ratios
       UpperCamelCase__										=      hidden_sizes
       UpperCamelCase__										=      patch_sizes
       UpperCamelCase__										=      strides
       UpperCamelCase__										=      mlp_ratios
       UpperCamelCase__										=      num_attention_heads
       UpperCamelCase__										=      hidden_act
       UpperCamelCase__										=      hidden_dropout_prob
       UpperCamelCase__										=      attention_probs_dropout_prob
       UpperCamelCase__										=      initializer_range
       UpperCamelCase__										=      drop_path_rate
       UpperCamelCase__										=      layer_norm_eps
       UpperCamelCase__										=      decoder_hidden_size
       UpperCamelCase__										=      max_depth
       UpperCamelCase__										=      head_in_index




import warnings

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


__magic_name__								=logging.get_logger(__name__)



class     _A   (    __UpperCamelCase							):






  def __init__(self   ,				*SCREAMING_SNAKE_CASE_   ,				**SCREAMING_SNAKE_CASE_	)		->      None:





       '''simple docstring'''





       warnings.warn(
           '''The class BeitFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'''
           ''' use BeitImageProcessor instead.'''   ,				SCREAMING_SNAKE_CASE_   ,				)
       super().__init__(*SCREAMING_SNAKE_CASE_   ,				**SCREAMING_SNAKE_CASE_	)



