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Fix read-only numpy arrays in cross-validation #4794

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Fix read-only numpy arrays in cross-validation #4794

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9 changes: 5 additions & 4 deletions ax/adapter/cross_validation.py
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Original file line number Diff line number Diff line change
Expand Up @@ -240,12 +240,13 @@ def _efficient_loo_cross_validate(
# This is a known limitation for fully Bayesian models and models with
# non-Gaussian posteriors (such as PFNs).
# Shape: n x 1 x m
loo_means = posterior.mixture_mean.detach().cpu().numpy()
loo_vars = posterior.mixture_variance.detach().cpu().numpy()
# Use .copy() to ensure arrays are writeable (numpy returns read-only views)
loo_means = posterior.mixture_mean.detach().cpu().numpy().copy()
loo_vars = posterior.mixture_variance.detach().cpu().numpy().copy()
else:
# Shape: n x 1 x m
loo_means = posterior.mean.detach().cpu().numpy()
loo_vars = posterior.variance.detach().cpu().numpy()
loo_means = posterior.mean.detach().cpu().numpy().copy()
loo_vars = posterior.variance.detach().cpu().numpy().copy()

# Squeeze out the q dimension: n x 1 x m -> n x m
loo_means = loo_means.squeeze(1)
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