Trial XXXXX failed: TypeError("step() missing 1 required positional argument: 'closure'")

[oliver-lloyd]

Hi,

I am repeatedly getting the titular error message on experiment trials. The only step() function I can find in LibKGE is that of the learning rate scheduler, here:

kge/kge/util/optimizer.py

Line 137 in 00de512

def step(self, metric=None):

..but evidently that takes no 'closure' argument. Some googling suggests the issue might be to do with torch.optim, particularly the L-BFGS algorithm, but I am inexperienced with PyTorch and struggling to dig deeper.

I would greatly appreciate any guidance on how to fix this issue.

[rgemulla]

I cannot reproduce this error (numba 0.57.1, numpy 1.24.4, torch 2.0.1). Do you have a stack trace or any other additional information?

[oliver-lloyd]

I have no traceback unfortunately, but my package versions are earlier (numba 0.50.1, numpy 1.19.5, torch 1.7.1) so I will update and report back if the error reoccurs