code: def reset_parameters(self):
      super(HeteroConvWrapper, self).reset_parameters()
      if self.aggr == "attn":
          for layer in self.attn_proj.children():
              layer.reset_parameters()
  
imports: import copy
  import torch
  import argparse
  import deepsnap
  import numpy
  import torch.nn
  import torch.nn.functional
  import torch_geometric.nn
  from sklearn.metrics import f1_score
  from deepsnap.hetero_gnn import forward_op, HeteroSAGEConv
  from deepsnap.hetero_graph import HeteroGraph
  from torch_sparse import SparseTensor, matmul
label_desc: Use image node_id 2 for calling the HeteroGNNWrapperConv obj's underlying member method code with example usage: obj.reset_parameters() without return types