code: def __init__(self, dim_in, dim_out, bias=False, **kwargs):
      super().__init__()
      self.model = ExampleConv2Layer(dim_in, dim_out, bias=bias)
  
imports: import torch
  import torch.nn
  from torch.nn import Parameter
  from torch_geometric.graphgym.config import cfg
  from torch_geometric.graphgym.register import register_layer
  from torch_geometric.nn.conv import MessagePassing
  from torch_geometric.nn.inits import glorot, zeros
label_desc: Use image node_id 1 to create a new ExampleConv2 object from inherited base classes: nn with example: obj = ExampleConv2(dim_in, dim_out, bias)