code: def call(
      self,
      observation,
      step_type=None,
      network_state=(),
      training=False,
      mask=None,
  ):
      del step_type, training  # Unused.
      return (observation, mask), network_state
  
imports: import tensorflow.compat.v2
  import tensorflow_probability
  from tf_agents.networks import mask_splitter_network
  from tf_agents.networks import network
  from tf_agents.networks import value_network
  from tf_agents.specs import distribution_spec
  from tf_agents.specs import tensor_spec
  from tf_agents.utils import test_utils
label_desc: Use image node_id 1 for calling the WrappedNetwork obj's underlying member method code with example usage: obj.call(observation, step_type, network_state, training, mask) and returns: observation,  mask,  network_state