We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
There was an error while loading. Please reload this page.
1 parent d2a36a8 commit 0ff960fCopy full SHA for 0ff960f
bayesflow/networks/diffusion_model/diffusion_model.py
@@ -812,7 +812,7 @@ def _inverse_compositional(
812
"or use another backend."
813
)
814
else:
815
- mini_batch_size = integrate_kwargs.get("mini_batch_size", int(n_compositional * 0.1))
+ mini_batch_size = integrate_kwargs.pop("mini_batch_size", int(n_compositional * 0.1))
816
self.compositional_d0 = float(integrate_kwargs.pop("compositional_d0", 1.0))
817
self.compositional_d1 = float(integrate_kwargs.pop("compositional_d1", 1.0))
818
0 commit comments