Skip to content
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 2 additions & 2 deletions gpytorch/models/exact_gp.py
Original file line number Diff line number Diff line change
Expand Up @@ -284,7 +284,7 @@ def __call__(self, *args, **kwargs):
elif settings.prior_mode.on() or self.train_inputs is None or self.train_targets is None:
full_inputs = args
full_output = super().__call__(*full_inputs, **kwargs)
if settings.debug().on():
if settings.debug.on():
if not isinstance(full_output, MultivariateNormal):
raise RuntimeError("ExactGP.forward must return a MultivariateNormal")
return full_output
Expand Down Expand Up @@ -326,7 +326,7 @@ def __call__(self, *args, **kwargs):

# Get the joint distribution for training/test data
full_output = super().__call__(*full_inputs, **kwargs)
if settings.debug().on():
if settings.debug.on():
if not isinstance(full_output, MultivariateNormal):
raise RuntimeError("ExactGP.forward must return a MultivariateNormal")
full_mean, full_covar = full_output.loc, full_output.lazy_covariance_matrix
Expand Down