28ab797cf51f35222d1ac0e8a4ca8a5f153a9326,rllib/models/catalog.py,ModelCatalog,get_model_v2,#Any#Any#Any#Any#Any#Any#Any#Any#,271

Before Change

            // fallback to a default v1 model
            if v2_class is None:
                if tf.executing_eagerly():
                    raise ValueError(
                        "Eager execution requires a TFModelV2 model to be "
                        "used, however there is no default V2 model for this "
                        "observation space: {}, use_lstm={}".format(
                            obs_space, model_config.get("use_lstm")))
                v2_class = make_v1_wrapper(ModelCatalog.get_model)
            // Wrap in the requested interface.
            wrapper = ModelCatalog._wrap_if_needed(v2_class, model_interface)
            return wrapper(obs_space, action_space, num_outputs, model_config,
                           name, **model_kwargs)

After Change

                v2_class = default_model or ModelCatalog._get_v2_model_class(
                    obs_space, model_config, framework=framework)

            if not v2_class:
                raise ValueError("ModelV2 class could not be determined!")

            if model_config.get("use_lstm"):
                wrapped_cls = v2_class
                forward = wrapped_cls.forward
                v2_class = ModelCatalog._wrap_if_needed(

Instances