code: def __init__(self):
      super(ShiftedSoftplus, self).__init__()
      self.shift = torch.log(torch.tensor(2.0)).item()
  
imports: from math import pi
  import torch
  import torch.nn.functional
  from torch.nn import Embedding, Sequential, Linear
  from torch_scatter import scatter
  from torch_geometric.nn import radius_graph
label_desc: Use image node_id 1 to create a new ShiftedSoftplus object from inherited base classes: torch.nn with example: obj = ShiftedSoftplus()