code: def step(self):
      idx = self.i.item()
      if self.start_step < idx < self.start_step + self.nr_steps:
          self.dropblock.drop_prob += self.step_size
  
      self.i += 1
  
file_path: pytorch-toolbelt/pytorch_toolbelt/modules/dropblock.py
imports: import torch
  import torch.nn.functional
  from torch import nn
label_desc: Use image node_id 3 for calling the DropBlockScheduled obj's underlying member method code with example usage: obj.step() without return types