class_docstr: A layer with two linear modules
  
  Parameters
  ----------
  in_channels (int)
  middle_channels (int)
  out_channels (int)
  bias (bool)
  act (bool)
class_docstr_tok: ["A","layer","with","two","linear","modules","Parameters","--","--","--","--","--","in_channels","(","int",")","middle_channels","(","int",")","out_channels","(","int",")","bias","(","bool",")","act","(","bool",")"]
code: def reset_parameters(self):
      self.lin1.reset_parameters()
      self.lin2.reset_parameters()
  
imports: from torch_geometric.nn import inits, MessagePassing
  from torch_geometric.nn import radius_graph
  from .features import d_angle_emb, d_theta_phi_emb
  from torch_scatter import scatter
  from torch_sparse import matmul
  import torch
  from torch import nn
  from torch.nn import Embedding
  import torch.nn.functional
  import numpy
label_desc: Use image node_id 2 for calling the TwoLinear obj's underlying member method code with example usage: obj.reset_parameters() without return types