code: def forward(self, input_dict, state, seq_lens):
      obs = input_dict["obs_flat"]
      out1 = self.keras_model(obs)
      out2, _ = self.fc_net({"obs": obs})
      return tf.concat([out1, out2], axis=-1), []
  
file_path: ray/rllib/models/tests/test_models.py
imports: from gymnasium.spaces import Box
  import numpy
  import unittest
  import ray
  import ray.rllib.algorithms.ppo
  from ray.rllib.examples.models.modelv3 import RNNModel
  from ray.rllib.models.tf.tf_modelv2 import TFModelV2
  from ray.rllib.models.tf.fcnet import FullyConnectedNetwork
  from ray.rllib.utils.framework import try_import_tf
label_desc: Use image node_id 2 for calling the TestTFModel obj's underlying member method code with example usage: obj.forward(input_dict, state, seq_lens) and returns: tf,  list