class_docstr: Drop paths (Stochastic Depth) per sample  (when applied in main path of residual blocks).
code: def extra_repr(self):
      return f"drop_prob={round(self.drop_prob,3):0.3f}"
  
imports: from torch import nn
label_desc: Use image node_id 3 for calling the DropPath obj's underlying member method code with example usage: obj.extra_repr() and returns: str, round