class_docstr: Drop paths (Stochastic Depth) per sample.
  
  Drops some samples in the forward pass with probability ``drop_prob``.
code: def extra_repr(self):
      return f"drop_prob={round(self.drop_prob,3):0.3f}"
  
file_path: nni/nni/nas/hub/pytorch/utils/nn.py
imports: from torch import nn
label_desc: Use image node_id 4 for calling the DropPath obj's underlying member method code with example usage: obj.extra_repr() and returns: str, round