Traceback (most recent call last):
  File "python/ray/_raylet.pyx", line 380, in ray._raylet.prepare_args
  File "/home/galaktoza/anaconda3/envs/raysa_rasa/lib/python3.7/site-packages/ray/serialization.py", line 36

1, in serialize
    return self._serialize_to_msgpack(value)
  File "/home/galaktoza/anaconda3/envs/raysa_rasa/lib/python3.7/site-packages/ray/serialization.py", line 34
1, in _serialize_to_msgpack
    self._serialize_to_pickle5(metadata, python_objects)
  File "/home/galaktoza/anaconda3/envs/raysa_rasa/lib/python3.7/site-packages/ray/serialization.py", line 30
1, in _serialize_to_pickle5
    raise e
  File "/home/galaktoza/anaconda3/envs/raysa_rasa/lib/python3.7/site-packages/ray/serialization.py", line 29
8, in _serialize_to_pickle5
    value, protocol=5, buffer_callback=writer.buffer_callback)
  File "/home/galaktoza/anaconda3/envs/raysa_rasa/lib/python3.7/site-packages/ray/cloudpickle/cloudpickle_fa
st.py", line 73, in dumps
    cp.dump(obj)
  File "/home/galaktoza/anaconda3/envs/raysa_rasa/lib/python3.7/site-packages/ray/cloudpickle/cloudpickle_fa
st.py", line 620, in dump
    return Pickler.dump(self, obj)
TypeError: can't pickle sqlalchemy.cprocessors.UnicodeResultProcessor objects

The above exception was the direct cause of the following exception:


Traceback (most recent call last):
  File "/home/galaktoza/anaconda3/envs/raysa_rasa/bin/rasa", line 5, in <module>
    main()
  File "/home/galaktoza/Documents/code/Raysa-Rasa/rasa/__main__.py", line 119, in main
    cmdline_arguments.func(cmdline_arguments)
  File "/home/galaktoza/Documents/code/Raysa-Rasa/rasa/cli/train.py", line 60, in <lambda>
    train_parser.set_defaults(func=lambda args: run_training(args, can_exit=True))
  File "/home/galaktoza/Documents/code/Raysa-Rasa/rasa/cli/train.py", line 127, in run_training
    finetuning_epoch_fraction=args.epoch_fraction,
  File "/home/galaktoza/Documents/code/Raysa-Rasa/rasa/api.py", line 118, in train_dist
    finetuning_epoch_fraction=finetuning_epoch_fraction,
  File "/home/galaktoza/Documents/code/Raysa-Rasa/rasa/model_training.py", line 175, in train_dist
    **(nlu_additional_arguments or {}),
  File "/home/galaktoza/Documents/code/Raysa-Rasa/rasa/model_training.py", line 242, in _train_graph_dist
    is_finetuning=is_finetuning,
  File "/home/galaktoza/Documents/code/Raysa-Rasa/rasa/engine/training/graph_trainer.py", line 174, in train

_dist
    graph_runner.run(inputs={PLACEHOLDER_IMPORTER: importer})
  File "/home/galaktoza/Documents/code/Raysa-Rasa/rasa/engine/runner/dask_on_ray.py", line 121, in run
    dask_result = ray_dask_get(run_graph, run_targets)
  File "/home/galaktoza/anaconda3/envs/raysa_rasa/lib/python3.7/site-packages/ray/util/dask/scheduler.py", l
ine 111, in ray_dask_get
    **kwargs,
  File "/home/galaktoza/anaconda3/envs/raysa_rasa/lib/python3.7/site-packages/ray/util/dask/scheduler_utils.
py", line 354, in get_async
    raise_exception(exc, tb)
  File "/home/galaktoza/anaconda3/envs/raysa_rasa/lib/python3.7/site-packages/ray/util/dask/scheduler_utils.
py", line 206, in reraise
raise exc
  File "/home/galaktoza/anaconda3/envs/raysa_rasa/lib/python3.7/site-packages/ray/util/dask/scheduler.py", l
ine 217, in _rayify_task_wrapper
    ray_posttask_cbs,
  File "/home/galaktoza/anaconda3/envs/raysa_rasa/lib/python3.7/site-packages/ray/util/dask/scheduler.py", l
ine 301, in _rayify_task
    *arg_object_refs,
  File "/home/galaktoza/anaconda3/envs/raysa_rasa/lib/python3.7/site-packages/ray/remote_function.py", line
198, in remote
    name=name)

  File "/home/galaktoza/anaconda3/envs/raysa_rasa/lib/python3.7/site-packages/ray/util/tracing/tracing_helpe
r.py", line 295, in _invocation_remote_span
    return method(self, args, kwargs, *_args, **_kwargs)
  File "/home/galaktoza/anaconda3/envs/raysa_rasa/lib/python3.7/site-packages/ray/remote_function.py", line
346, in _remote
    return invocation(args, kwargs)
  File "/home/galaktoza/anaconda3/envs/raysa_rasa/lib/python3.7/site-packages/ray/remote_function.py", line
334, in invocation
    parsed_runtime_env.get_uris())
  File "python/ray/_raylet.pyx", line 1444, in ray._raylet.CoreWorker.submit_task
  File "python/ray/_raylet.pyx", line 1448, in ray._raylet.CoreWorker.submit_task
  File "python/ray/_raylet.pyx", line 388, in ray._raylet.prepare_args
TypeError: Could not serialize the argument <rasa.engine.graph.GraphNode object at 0x7fb9b3738fd0> for a tas
k or actor ray.util.dask.scheduler.dask_task_wrapper. Check https://docs.ray.io/en/master/serialization.html
#troubleshooting for more information.