code: def __init__(
      self,
      in_channels,
      middle_channels,
      out_channels,
      bias=False,
      act=False,
  ):
      super(TwoLayerLinear, self).__init__()
      self.lin1 = Linear(in_channels, middle_channels, bias=bias)
      self.lin2 = Linear(middle_channels, out_channels, bias=bias)
      self.act = act
  
imports: from torch_cluster import radius_graph
  from torch_geometric.nn import GraphConv, GraphNorm
  from torch_geometric.nn import inits
  from .features import angle_emb, torsion_emb
  from torch_scatter import scatter, scatter_min
  from torch.nn import Embedding
  import torch
  from torch import nn
  from torch import Tensor
  import torch.nn.functional
  import math
  from math import sqrt
label_desc: Use image node_id 1 to create a new TwoLayerLinear object from inherited base classes: torch.nn with example: obj = TwoLayerLinear(in_channels, middle_channels, out_channels, bias, act)