class_docstr: Drop paths (Stochastic Depth) per sample  (when applied in main path of residual blocks).
      
code: def __init__(self, drop_prob=None):
      super().__init__()
      self.drop_prob = drop_prob
  
imports: import torch
  from torch import nn
label_desc: Use image node_id 1 to create a new DropPath object from inherited base classes: nn with example: obj = DropPath(drop_prob)