code: def __init__(self, input_channels, hidden_layers, nodes=7):
      super(Featuremaps_to_Graph, self).__init__()
      self.pre_fea = Parameter(torch.FloatTensor(input_channels, nodes))
      self.weight = Parameter(
          torch.FloatTensor(input_channels, hidden_layers)
      )
      self.reset_parameters()
  
imports: import torch
  from .None import graph
  import torch.nn
  import torch.nn.functional
  from torch.nn.parameter import Parameter
label_desc: Use image node_id 1 to create a new Featuremaps_to_Graph object from inherited base classes: nn with example: obj = Featuremaps_to_Graph(input_channels, hidden_layers, nodes)