Traceback (most recent call last):
File "train.py", line 257, in <module>
main()
File "train.py", line 252, in main
train_model(config, "training/" + args.name, **model_args)
File "train.py", line 130, in train_model
run_name=rum_name + " " + datetime.datetime.now().strftime("%Y%m%d-%H%M%S"),
File "C:\Users\robertc\Documents\src\classifier-pipeline\ml_tools\model.py", line 632, in train_model
self.start_async_load()
File "C:\Users\robertc\Documents\src\classifier-pipeline\ml_tools\model.py", line 805, in start_async_load
self.datasets.train.start_async_load(48)
File "C:\Users\robertc\Documents\src\classifier-pipeline\ml_tools\dataset.py", line 942, in start_async_load
thread.start()
File "C:\Users\robertc\AppData\Local\Programs\Python\Python37\lib\multiprocessing\process.py", line 112, in start
self._popen = self._Popen(self)
File "C:\Users\robertc\AppData\Local\Programs\Python\Python37\lib\multiprocessing\context.py", line 223, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "C:\Users\robertc\AppData\Local\Programs\Python\Python37\lib\multiprocessing\context.py", line 322, in _Popen
return Popen(process_obj)
File "C:\Users\robertc\AppData\Local\Programs\Python\Python37\lib\multiprocessing\popen_spawn_win32.py", line 89, in __init__
reduction.dump(process_obj, to_child)
File "C:\Users\robertc\AppData\Local\Programs\Python\Python37\lib\multiprocessing\reduction.py", line 60, in dump
ForkingPickler(file, protocol).dump(obj)
TypeError: can't pickle weakref objects
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "C:\Users\robertc\AppData\Local\Programs\Python\Python37\lib\multiprocessing\spawn.py", line 105, in spawn_main
exitcode = _main(fd)
File "C:\Users\robertc\AppData\Local\Programs\Python\Python37\lib\multiprocessing\spawn.py", line 115, in _main
self = reduction.pickle.load(from_parent)
EOFError: Ran out of input
