Handle JAX circular import AttributeError in fully_bayesian.py (#3297)

Summary:
Pull Request resolved: #3297

JAX 0.5.3 has a circular import between `pxla.py` and `dispatch.py` that raises `AttributeError` instead of `ImportError` on Python 3.12. The existing `try/except ImportError` guard around JAX imports in `fully_bayesian.py` does not catch this.

Reviewed By: Balandat

Differential Revision: D102690643

fbshipit-source-id: 6f6a8f69544f4295de31f8c046ffd3e394817e5e

Author: sdaulton

botorch/models/fully_bayesian.py

@@ -47,7 +47,7 @@
     import numpyro.distributions as numpyro_dist
 
     _HAS_JAX = True
-except ImportError:  # pragma: no cover
+except (ImportError, AttributeError):  # pragma: no cover
     _HAS_JAX = False
 import torch
 from botorch.acquisition.objective import PosteriorTransform