Traceback (most recent call last):


 "/usr/local/lib/python3.6/dist-packages/tornado/gen.py", line 326, in wrapper

yielded = next(result)


 "/usr/local/lib/python3.6/dist-packages/salt/transport/ipc.py", line 335, in _connect

io_loop=self.io_loop,


 "/usr/local/lib/python3.6/dist-packages/tornado/iostream.py", line 1222, in __init__

super(IOStream, self).__init__(*args, **kwargs)
TypeError: __init__() got an unexpected keyword argument 'io_loop'

Traceback (most recent call last):


 "predict.py", line 8, in <module>

make_predictions(args)


 "/home/user/Desktop/chemprop-master/chemprop/train/make_predictions.py", line 72, in make_predictions

scaler=scaler


 "/home/user/Desktop/chemprop-master/chemprop/train/predict.py", line 39, in predict

batch_preds = model(batch, features_batch)


 "/home/user/anaconda3/envs/chemprop/lib/python3.6/site-packages/torch/nn/modules/module.py", line 532, in __call__

result = self.forward(*input, **kwargs)


 "/home/user/Desktop/chemprop-master/chemprop/models/model.py", line 88, in forward

output = self.ffn(self.encoder(*input))


 "/home/user/anaconda3/envs/chemprop/lib/python3.6/site-packages/torch/nn/modules/module.py", line 532, in __call__

result = self.forward(*input, **kwargs)


 "/home/user/Desktop/chemprop-master/chemprop/models/mpn.py", line 187, in forward

output = self.encoder.forward(batch, features_batch)


 "/home/user/Desktop/chemprop-master/chemprop/models/mpn.py", line 73, in forward

features_batch = torch.from_numpy(np.stack(features_batch)).float()


 "<__array_function__ internals>", line 6, in stack
TypeError: dispatcher for __array_function__ did not return an iterable
