code: def __init__(
      self, input_channels, output_channels, hidden_layers, nodes=7
  ):
      super(Graph_to_Featuremaps_savemem, self).__init__()
      self.node_fea_for_res = Parameter(
          torch.FloatTensor(input_channels, 1)
      )
      self.node_fea_for_hidden = Parameter(
          torch.FloatTensor(hidden_layers, 1)
      )
      self.weight = Parameter(
          torch.FloatTensor(hidden_layers, output_channels)
      )
      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 Graph_to_Featuremaps_savemem object from inherited base classes: nn with example: obj = Graph_to_Featuremaps_savemem(input_channels, output_channels, hidden_layers, nodes)