code: def __init__(self, act_dim):
      self.act_dim = act_dim
  
      self.conv1 = layers.conv2d(
          num_filters=32, filter_size=5, stride=1, padding=2, act="relu"
      )
      self.conv2 = layers.conv2d(
          num_filters=32, filter_size=5, stride=1, padding=2, act="relu"
      )
      self.conv3 = layers.conv2d(
          num_filters=64, filter_size=4, stride=1, padding=1, act="relu"
      )
      self.conv4 = layers.conv2d(
          num_filters=64, filter_size=3, stride=1, padding=1, act="relu"
      )
  
      self.fc1 = layers.fc(size=act_dim)
  
file_path: PARL/benchmark/fluid/Prioritized_DQN/atari_model.py
imports: import numpy
  import paddle.fluid
  import parl
  from parl import layers
label_desc: Use image node_id 1 to create a new AtariModel object from inherited base classes: parl with example: obj = AtariModel(act_dim)