code: def forward(self, g, nids):
      x = self.emb(nids)
      h = F.relu(self.conv1(g, x, g.edata[dgl.ETYPE], g.edata["norm"]))
      h = self.dropout(h)
      h = self.conv2(g, h, g.edata[dgl.ETYPE], g.edata["norm"])
      return self.dropout(h)
  
imports: import dgl
  import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  import tqdm
  from dgl.data.knowledge_graph import FB15k237Dataset
  from dgl.dataloading import GraphDataLoader
  from dgl.nn.pytorch import RelGraphConv
label_desc: Use image node_id 2 for calling the RGCN obj's underlying member method code with example usage: obj.forward(g, nids) and returns: self