code: def __init__(
      self, dropblock, start_value, stop_value, nr_steps, start_step=0
  ):
      super(DropBlockScheduled, self).__init__()
      self.dropblock = dropblock
      self.register_buffer("i", torch.zeros(1, dtype=torch.int64))
      self.start_step = start_step
      self.nr_steps = nr_steps
      self.step_size = (stop_value - start_value) / nr_steps
  
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 1 to create a new DropBlockScheduled object from inherited base classes: nn with example: obj = DropBlockScheduled(dropblock, start_value, stop_value, nr_steps, start_step)