code: def __init__(self):
      super(PowerNetModel, self).__init__()
  
      self.fc1 = nn.Sequential(nn.Linear(1219, 1024), nn.ReLU())
      self.fc2 = nn.Sequential(nn.Linear(1024, 900), nn.ReLU())
      self.fc3 = nn.Sequential(nn.Linear(900, 800), nn.ReLU())
      self.fc4 = nn.Sequential(nn.Linear(800, 700), nn.ReLU())
      self.fc5 = nn.Sequential(nn.Linear(700, 512), nn.ReLU())
      self.fc6 = nn.Sequential(nn.Linear(512, 1000), nn.ReLU())
  
      self.month_embedding = nn.Embedding(13, 256)
      self.hour_embedding = nn.Embedding(24, 256)
      self.line_status_embedding = nn.Embedding(400, 256)
  
imports: import torch
  import torch.nn
label_desc: Use image node_id 1 to create a new PowerNetModel object from inherited base classes: nn with example: obj = PowerNetModel()