code: def __init__(self):
      self.fc1 = layers.fc(size=512, act="relu", name="fc1")
      self.fc2 = layers.fc(size=512, act="relu", name="fc2")
      self.fc3 = layers.fc(size=512, act="relu", name="fc3")
      self.fc4 = layers.fc(size=512, act="relu", name="fc4")
      self.fc5 = layers.fc(size=512, act="relu", name="fc5")
      self.fc6 = layers.fc(size=500, act="relu", name="fc6")
  
      self.month_embedding = layers.embedding(
          size=[12, 64], name="emb_month"
      )
      self.hour_embedding = layers.embedding(
          size=[24, 64], name="emb_hour"
      )
  
file_path: PARL/examples/NeurIPS2020-Learning-to-Run-a-Power-Network-Challenge/track1/powernet_model.py
imports: import parl
  import paddle.fluid
  from parl import layers
label_desc: Use image node_id 1 to create a new UnitaryActionModel object from inherited base classes: parl with example: obj = UnitaryActionModel()