code: def forward(self, g, x, edge_attr):
      with g.local_scope():
          edge_embedding = self.bond_encoder(edge_attr)
          g.ndata["x"] = x
          g.apply_edges(fn.copy_u("x", "m"))
          g.edata["m"] = F.relu(g.edata["m"] + edge_embedding)
          g.update_all(fn.copy_e("m", "m"), fn.sum("m", "new_x"))
          out = self.mlp((1 + self.eps) * x + g.ndata["new_x"])
  
          return out
  
imports: import dgl
  import dgl.function
  import torch
  import torch.nn
  import torch.nn.functional
  from dgl.nn.pytorch import SumPooling
  from ogb.graphproppred.mol_encoder import AtomEncoder, BondEncoder
label_desc: Use image node_id 2 for calling the GINConv obj's underlying member method code with example usage: obj.forward(g, x, edge_attr) and returns: out