Traceback (most recent call last):


 "train.py", line 117, in <module>

trainer.fit(model, train_loader)


 "/opt/conda/lib/python3.6/site-packages/pytorch_lightning/trainer/trainer.py", line 445, in fit

results = self.accelerator_backend.train()


 "/opt/conda/lib/python3.6/site-packages/pytorch_lightning/accelerators/ddp_spawn_accelerator.py", line 74, in train

mp.spawn(self.ddp_train, nprocs=self.nprocs, args=(self.mp_queue, model,))


 "/opt/conda/lib/python3.6/site-packages/torch/multiprocessing/spawn.py", line 199, in spawn

return start_processes(fn, args, nprocs, join, daemon, start_method='spawn')


 "/opt/conda/lib/python3.6/site-packages/torch/multiprocessing/spawn.py", line 148, in start_processes

process.start()


 "/opt/conda/lib/python3.6/multiprocessing/process.py", line 105, in start

self._popen = self._Popen(self)


 "/opt/conda/lib/python3.6/multiprocessing/context.py", line 284, in _Popen

return Popen(process_obj)


 "/opt/conda/lib/python3.6/multiprocessing/popen_spawn_posix.py", line 32, in __init__

super().__init__(process_obj)


 "/opt/conda/lib/python3.6/multiprocessing/popen_fork.py", line 19, in __init__

self._launch(process_obj)


 "/opt/conda/lib/python3.6/multiprocessing/popen_spawn_posix.py", line 47, in _launch

reduction.dump(process_obj, fp)


 "/opt/conda/lib/python3.6/multiprocessing/reduction.py", line 60, in dump

ForkingPickler(file, protocol).dump(obj)


 "/opt/conda/lib/python3.6/enum.py", line 46, in _break_on_call_reduce

raise TypeError('%r cannot be pickled' % self)
TypeError: <Resample.BILINEAR: 1> cannot be pickled
Traceback (most recent call last):


 "/usr/local/lib/python3.6/site-packages/Orange/canvas/scheme/widgetsscheme.py", line 960, in process_signals_for_widget

widget.handleNewSignals()


 "/usr/local/lib/python3.6/site-packages/Orange/widgets/visualize/owscatterplot.py", line 331, in handleNewSignals

self.graph.new_data(self.data, self.subset_data)


 "/usr/local/lib/python3.6/site-packages/Orange/widgets/visualize/owscatterplotgraph.py", line 618, in new_data

self.set_data(data, **args)


 "/usr/local/lib/python3.6/site-packages/Orange/widgets/utils/scaling.py", line 105, in set_data

self._compute_scaled_data()


 "/usr/local/lib/python3.6/site-packages/Orange/widgets/utils/scaling.py", line 58, in _compute_scaled_data

c += 0.5
TypeError: Cannot cast ufunc add output from dtype('float64') to dtype('int64') with casting rule 'same_kind'
