code: def build_program(self):
      self.predict_program = fluid.Program()
  
      with fluid.program_guard(self.predict_program):
          obs = layers.data(name="obs", shape=[639], dtype="float32")
          self.predicted_unitary_actions_rho = self.alg.predict(obs)
  
file_path: PARL/examples/NeurIPS2020-Learning-to-Run-a-Power-Network-Challenge/track2/es_agent.py
imports: import parl
  import paddle.fluid
  from parl import layers
  import numpy
label_desc: Use image node_id 2 for calling the ESAgent obj's underlying member method code with example usage: obj.build_program() without return types