Supervisor not needed for JAX rewrites

As it no longer includes inplace operations.

pymc/sampling/jax.py

@@ -30,7 +30,7 @@
 from arviz.data.base import make_attrs
 from jax.lax import scan
 from numpy.typing import ArrayLike
-from pytensor.compile import SharedVariable, Supervisor, mode
+from pytensor.compile import SharedVariable, mode
 from pytensor.graph.basic import graph_inputs
 from pytensor.graph.fg import FunctionGraph
 from pytensor.graph.replace import clone_replace
@@ -127,18 +127,6 @@ def get_jaxified_graph(
     graph = _replace_shared_variables(outputs) if outputs is not None else None
 
     fgraph = FunctionGraph(inputs=inputs, outputs=graph, clone=True)
-    # We need to add a Supervisor to the fgraph to be able to run the
-    # JAX sequential optimizer without warnings. We made sure there
-    # are no mutable input variables, so we only need to check for
-    # "destroyers". This should be automatically handled by PyTensor
-    # once https://github.com/aesara-devs/aesara/issues/637 is fixed.
-    fgraph.attach_feature(
-        Supervisor(
-            input
-            for input in fgraph.inputs
-            if not (hasattr(fgraph, "destroyers") and fgraph.has_destroyers([input]))
-        )
-    )
     mode.JAX.optimizer.rewrite(fgraph)
 
     # We now jaxify the optimized fgraph