code: def forward(self, edge_feature):
      bond_embedding = 0
      for i in range(edge_feature.shape[1]):
          bond_embedding += self.bond_embedding_list[i](
              edge_feature[:, i]
          )
  
      return bond_embedding
  
imports: import torch
  import torch.nn
  from ogb.utils.features import get_bond_feature_dims
  from torch.nn import Parameter
  from torch_geometric.nn.conv import MessagePassing
  from torch_geometric.nn.inits import glorot, zeros
  from torch_geometric.utils import add_remaining_self_loops
  from torch_scatter import scatter_add
  from graphgym.config import cfg
  from graphgym.register import register_layer
label_desc: Use image node_id 2 for calling the BondEncoder obj's underlying member method code with example usage: obj.forward(edge_feature) and returns: bond_embedding