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Make sure GP model are stored as CPU-only models in MLflow #420

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Make sure GP model are stored as CPU-only models in MLflow #420

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acfc83b
Fix GP serialization failure when loading on CPU-only machines
RemiLehe Apr 8, 2026
df222af
Apply suggestions from code review
RemiLehe May 2, 2026
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6 changes: 6 additions & 0 deletions ml/train_model.py
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Original file line number Diff line number Diff line change
Expand Up @@ -380,6 +380,12 @@ def build_lume_model(
]

if model_type == "GP":
# Clear prediction_strategy on each sub-GP before moving to CPU.
# It is set during training call and holds cached CUDA
# tensors (e.g. Cholesky factors) that are plain Python attributes, so
# .cpu() / _apply() won't reach them.
for sub_gp in model.models:
sub_gp.prediction_strategy = None
return GPModel(
model=model.cpu(),
input_variables=input_vars,
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