Lightfm 1.17 - kernel dies in Jupyter, Spyder when fitting

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Hello,

Under the Anaconda 2023.03 distribution I have installed Lightfm 1.17. The interaction matrix is small, shape (671, 9066) - coming from the small movie lens dataset. When running the code:
from scipy import sparse
from lightfm import LightFM
x = sparse.csr_matrix(interactions.values)
model = LightFM(no_components= 30, loss='warp',k=15)
model.fit(x,epochs=30,num_threads = 4)

in Jupyter, the kernel dies unexpectedly, a pop-up shows-up: Kernel Restarting
The kernel appears to have died. It will restart automatically.

In Spyder I get a similar behaviour, with the kernel restarting. I traced it down to the _run_one_epoch method in lightfm.

Any idea of the potential cause is appreciated.

Start by reproducing the provided LightFM 1.17 example with the small MovieLens interaction matrix in Jupyter or Spyder. Trace execution into lightfm's _run_one_epoch method and determine what causes the kernel restart; done means the fitting example completes without the kernel dying.

Written by the indexing model from the issue text.