class_docstr: Drop paths (Stochastic Depth) per sample.
  
  Drops some samples in the forward pass with probability ``drop_prob``.
code: def _shape_forward(self, x):
      return x.real_shape
  
file_path: nni/nni/nas/hub/pytorch/utils/nn.py
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._shape_forward(x) and returns: x