code: def __init__(self):
      self.fc1 = layers.fc(
          size=256,
          act=None,
          param_attr=ParamAttr(name="fc1.w"),
          bias_attr=ParamAttr(name="fc1.b"),
      )
      self.fc2 = layers.fc(
          size=128,
          act=None,
          param_attr=ParamAttr(name="fc2.w"),
          bias_attr=ParamAttr(name="fc2.b"),
      )
      self.fc3 = layers.fc(
          size=1,
          act=None,
          param_attr=ParamAttr(name="fc3.w"),
          bias_attr=ParamAttr(name="fc3.b"),
      )
  
imports: import numpy
  import paddle.fluid
  import parl
  import unittest
  from copy import deepcopy
  from paddle.fluid import ParamAttr
  from parl import layers
  from parl.utils import get_gpu_count
  from parl.core.fluid.plutils import fetch_value
label_desc: Use image node_id 1 to create a new TestModel object from inherited base classes: parl with example: obj = TestModel()