

'''simple docstring'''






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


lowerCAmelCase__      		=			logging.get_logger(__name__)

lowerCAmelCase__      		=			{
    '''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     lowercase_			(lowerCamelCase__   ):




  """simple docstring"""




  SCREAMING_SNAKE_CASE					:						Optional[Any]           =    'glpn'






  def __init__(   self     :  Any      ,lowercase__     :  Optional[int]=3      ,lowercase__     :  Any=4      ,lowercase__     :  Optional[int]=[2, 2, 2, 2]      ,lowercase__     :  List[Any]=[8, 4, 2, 1]      ,lowercase__     :  Any=[3_2, 6_4, 1_6_0, 2_5_6]      ,lowercase__     :  Optional[Any]=[7, 3, 3, 3]      ,lowercase__     :  List[Any]=[4, 2, 2, 2]      ,lowercase__     :  List[Any]=[1, 2, 5, 8]      ,lowercase__     :  Optional[Any]=[4, 4, 4, 4]      ,lowercase__     :  str="gelu"      ,lowercase__     :  Any=0.0      ,lowercase__     :  Tuple=0.0      ,lowercase__     :  Optional[int]=0.0_2      ,lowercase__     :  Dict=0.1      ,lowercase__     :  List[Any]=1e-6      ,lowercase__     :  int=6_4      ,lowercase__     :  str=1_0      ,lowercase__     :  str=-1      ,**lowercase__     :  int      ,):
   super().__init__(**lowercase__    )

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




'''simple docstring'''






from collections.abc import Callable

import numpy as np


def 	_A  (					A__  ,       A__  ,       A__  ,       A__  ,       A__   ):






 """simple docstring"""



 __lowercase													=				int(np.ceil((x_end - xa) / step_size   )   )
 __lowercase													=				np.zeros((n + 1,)   )
 __lowercase													=				ya
 __lowercase													=				xa

 for k in range(A__   ):
  __lowercase													=				y[k] + step_size * ode_func(A__  ,       y[k]   )
  x += step_size

 return y


if __name__ == "__main__":
 import doctest

 doctest.testmod()

