About registry error

[niuliyuan]

When I run the main_train.py with my pc in the local mode, an error occurred as shown below:

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2019-11-25 20:16:56,521	INFO resource_spec.py:205 -- Starting Ray with 5.42 GiB memory available for workers and up to 2.73 GiB for objects. You can adjust these settings with ray.init(memory=<bytes>, object_store_memory=<bytes>).
Traceback (most recent call last):
  File "/home/meta/anaconda3/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 2862, in run_code
    exec(code_obj, self.user_global_ns, self.user_ns)
  File "<ipython-input-2-230f46c907de>", line 1, in <module>
    runfile('/home/meta/code/asd/tesp2/main_train.py', wdir='/home/meta/code/asd/tesp2')
  File "/opt/pycharm-2019.2.4/helpers/pydev/_pydev_bundle/pydev_umd.py", line 197, in runfile
    pydev_imports.execfile(filename, global_vars, local_vars)  # execute the script
  File "/opt/pycharm-2019.2.4/helpers/pydev/_pydev_imps/_pydev_execfile.py", line 18, in execfile
    exec(compile(contents+"\n", file, 'exec'), glob, loc)
  File "/home/meta/code/asd/tesp2/main_train.py", line 75, in <module>
    register_trainable(agent_cls._agent_name, agent_cls)
  File "/home/meta/code/asd/ray1/tune/registry.py", line 37, in register_trainable
    raise TypeError("Second argument must be convertable to Trainable",trainable)
TypeError: ('Second argument must be convertable to Trainable', <class 'tesp2.tesp3.tesp.TESPAgent'>)

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And the relevant code is as follows：

def register_trainable(name, trainable):
    """Register a trainable function or class.
    Args:
        name (str): Name to register.
        trainable (obj): Function or tune.Trainable class. Functions must
            take (config, status_reporter) as arguments and will be
            automatically converted into a class during registration.
    """

    from ray1.tune.trainable import Trainable, wrap_function

    if isinstance(trainable, FunctionType):
        trainable = wrap_function(trainable)
    if not issubclass(trainable, Trainable):
        **raise TypeError("Second argument must be convertable to Trainable",trainable)**
    _global_registry.register(TRAINABLE_CLASS, name, trainable)

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It seems type error. For the first time, I tried to recreate the project of reinforcement learning, so I didn't quite understand it, Do you have any idea?

[niuliyuan]

Sorry, it's because I didn't run it in a correct way....