All of the embedding models (tbnn_dt2v_emb, fnn_emb, tfnn_emb, bnn_emb, tbnn_emb) get error TypeError: train() takes 1 positional argument but 5 were given

[littlebeanbean7]

When I follow quickstart example and run

python -u main.py -data ../data/raw/dblp/toy.dblp.v12.json -domain dblp -model tbnn_dt2v_emb

I get below error:

Loading sparse matrices from ./../data/preprocessed/dblp/toy.dblp.v12.json/teamsvecs.pkl ...
Loading indexes pickle from ./../data/preprocessed/dblp/toy.dblp.v12.json/indexes.pkl ...
It took 8.249282836914062e-05 seconds to load from the pickles.
It took 0.0004024505615234375 seconds to load the sparse matrices.
Traceback (most recent call last):
File "main.py", line 210, in
run(data_list=args.data_list,
File "main.py", line 154, in run
t2v.train(emb_setting['d'], emb_setting['w'], emb_setting['dm'], emb_setting['e'])
TypeError: train() takes 1 positional argument but 5 were given

[littlebeanbean7]

All of the embedding models (tbnn_dt2v_emb, fnn_emb, tfnn_emb, bnn_emb, tbnn_emb) get the above error