code: def reset_parameters(self):
      gain = nn.init.calculate_gain("relu")
      for layer in self.layers:
          nn.init.xavier_uniform_(layer.weight, gain=gain)
          nn.init.zeros_(layer.bias)
  
imports: import argparse
  import time
  import dgl
  import dgl.function
  import numpy
  import torch
  import torch.nn
  from dataset import load_dataset
label_desc: Use image node_id 2 for calling the FeedForwardNet obj's underlying member method code with example usage: obj.reset_parameters() without return types