Categorical features not working properly on gpu

[MrRobot2211]

I'm encountering an issue on 3.0.0 on GPU. I dropped my categorical columns because I was concerned that was the cause (looking at another issue on the GitHub).

But, I still get the error, even though I might hit it less frequently?

Also, I seem to hit the error quite randomly, so for instance, this set of parameters when passed to the train class created the error:

{'n_estimators': 70, 'learning_rate': 0.5087241341951028, 'objective': 'multiclass', 'num_classes': 12, 'num_leaves': 18, 'device': 'GPU', 'verbose': -1}

But, these two did not:

{'n_estimators': 97, 'learning_rate': 0.25286309514637206, 'objective': 'multiclass', 'num_classes': 12, 'num_leaves': 15, 'device': 'GPU', 'verbose': -1}

{'n_estimators': 169, 'learning_rate': 0.6275184529172673, 'objective': 'multiclass', 'num_classes': 12, 'num_leaves': 20, 'device': 'GPU', 'verbose': -1}

And the exact error that I recieved:

Trial 20 failed because of the following error: LightGBMError('Check failed: (best_split_info.left_count) > (0) at /tmp/pip-install-aw2q0tg1/lightgbm/compile/src/treelearner/serial_tree_learner.cpp, line 630 .\n')

Just, for reference, to show my original function call:

clf = lightgbm.train(params=params, train_set=train_dataset)

Originally posted by @chutcheson in #2742 (comment)