when running trainMLP.py, the training crashes in Keras' Progbar. The problem appears to be the following line 108:
progbar.add(args.batch_size, values=[("train loss", loss)])
loss should probably be a float value of some sort, but when I look in the debugger, it is a list:
[array(7.346083164215088, dtype=float32)]
The following change on line 108 appears to fix the issue:
progbar.add(args.batch_size, values=[("train loss", loss[0].item(0))])
when running trainMLP.py, the training crashes in Keras' Progbar. The problem appears to be the following line 108:
progbar.add(args.batch_size, values=[("train loss", loss)])loss should probably be a float value of some sort, but when I look in the debugger, it is a list: [array(7.346083164215088, dtype=float32)]
The following change on line 108 appears to fix the issue:
progbar.add(args.batch_size, values=[("train loss", loss[0].item(0))])