code: def reset_parameters(self):
      gain = nn.init.calculate_gain("relu")
      nn.init.xavier_normal_(self.W.weight, gain=gain)
      nn.init.xavier_normal_(self.a_l, gain=gain)
      nn.init.xavier_normal_(self.a_r, gain=gain)
  
file_path: dgl/examples/sparse/gat.py
imports: import dgl.sparse
  import torch
  import torch.nn
  import torch.nn.functional
  from dgl.data import CoraGraphDataset
  from torch.optim import Adam
label_desc: Use image node_id 2 for calling the GATConv obj's underlying member method code with example usage: obj.reset_parameters() without return types