code: def __init__(self, in_dim, out_dim):
      super(MLPLinear, self).__init__()
      self.linear = nn.Linear(in_dim, out_dim)
      self.reset_parameters()
  
imports: import dgl.function
  import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 1 to create a new MLPLinear object from inherited base classes: nn with example: obj = MLPLinear(in_dim, out_dim)