code: def __init__(self):
      self.fc1 = layers.fc(size=1024, act="relu", name="fc1")
      self.fc2 = layers.fc(size=900, act="relu", name="fc2")
      self.fc3 = layers.fc(size=800, act="relu", name="fc3")
      self.fc4 = layers.fc(size=700, act="relu", name="fc4")
      self.fc5 = layers.fc(size=512, act="relu", name="fc5")
      self.fc6 = layers.fc(size=label_dim, act="relu", name="fc6")
  
      self.month_embedding = layers.embedding(
          size=[13, 256], name="emb_month"
      )
      self.hour_embedding = layers.embedding(
          size=[24, 256], name="emb_hour"
      )
      self.line_status_embedding = layers.embedding(
          size=[400, 256], name="emb_line_status"
      )
  
file_path: PARL/examples/NeurIPS2020-Learning-to-Run-a-Power-Network-Challenge/track2/powernet_model.py
imports: import parl
  import numpy
  import paddle.fluid
  from parl import layers
  import os
label_desc: Use image node_id 1 to create a new PowerNetModel object from inherited base classes: parl with example: obj = PowerNetModel()