code: def forward(self, x):
      for l in range(len(self.layers) - 1):
          x = self.layers[l](x)
          x = F.relu(x)
      x = self.layers[-1](x)
      return x
  
imports: import copy
  from functools import partial
  import dgl
  import dgl.function
  import dgl.nn
  import torch
  import torch.nn
  from torch.nn import functional
label_desc: Use image node_id 2 for calling the MLP obj's underlying member method code with example usage: obj.forward(x) and returns: x