code: def reset_parameters(self):
      self.conv1.reset_parameters()
      self.conv2.reset_parameters()
      self.lin.reset_parameters()
  
file_path: pytorch_geometric/benchmark/kernel/diff_pool.py
imports: from math import ceil
  import torch
  import torch.nn.functional
  from torch.nn import Linear
  from torch_geometric.nn import DenseSAGEConv, JumpingKnowledge, dense_diff_pool
label_desc: Use image node_id 2 for calling the Block obj's underlying member method code with example usage: obj.reset_parameters() without return types