d67e08627198355a6d693807e15f8c74dfd23154,tests/garage/tf/q_functions/test_continuous_cnn_q_function.py,TestContinuousCNNQFunction,test_obs_not_image,#TestContinuousCNNQFunction#,199

Before Change

                    normalized_obs = build.call_args_list[0][0][1]

                    input_ph = tf.compat.v1.get_default_graph(
                    ).get_tensor_by_name("state:0")

                    fake_obs = [np.full(env.spec.observation_space.shape, 255)]
                    assert (self.sess.run(normalized_obs,
                                          feed_dict={input_ph:
                                                     fake_obs}) == 255.).all()

                    // ensure non-image obses are not normalized
                    // in get_qval_sym()

                    obs_dim = env.spec.observation_space.shape
                    state_input = tf.compat.v1.placeholder(tf.float32,
                                                           shape=(None, ) +
                                                           obs_dim)

                    act_dim = env.spec.observation_space.shape
                    action_input = tf.compat.v1.placeholder(tf.float32,
                                                            shape=(None, ) +
                                                            act_dim)

                    qf.get_qval_sym(state_input, action_input, name="another")
                    normalized_obs = build.call_args_list[1][0][1]

                    input_ph = tf.compat.v1.get_default_graph(
                    ).get_tensor_by_name("Placeholder:0")

                    fake_obs = [np.full(env.spec.observation_space.shape, 255)]
                    assert (self.sess.run(normalized_obs,
                                          feed_dict={input_ph:

After Change

                    // in _initialize() and get_qval()

                    normalized_obs = build.call_args_list[0][0][1]
                    assert normalized_obs == qf.inputs[0]

                    fake_obs = [
                        np.full(env.spec.observation_space.shape, 255.)
                    ]

Instances