Override default names for inner compiled fgraph functions

pytensor/link/numba/dispatch/compile_ops.py

@@ -68,7 +68,7 @@ def numba_funcify_OpFromGraph(op, node=None, **kwargs):
     output_specs = [Out(o, borrow=False) for o in fgraph.outputs]
     insert_deepcopy(fgraph, wrapped_inputs=input_specs, wrapped_outputs=output_specs)
     fgraph_fn, fgraph_cache_key = numba_funcify_and_cache_key(
-        fgraph, squeeze_output=True, **kwargs
+        fgraph, squeeze_output=True, fgraph_name="numba_ofg", **kwargs
     )
 
     if fgraph_cache_key is None:

pytensor/link/numba/dispatch/scalar.py

@@ -236,7 +236,7 @@ def numba_funcify_Composite(op, node, **kwargs):
     _ = kwargs.pop("storage_map", None)
 
     composite_fn, fgraph_key = numba_funcify_and_cache_key(
-        op.fgraph, squeeze_output=True, **kwargs
+        op.fgraph, squeeze_output=True, fgraph_name="numba_composite", **kwargs
     )
     if fgraph_key is None:
         composite_key = None

pytensor/link/numba/dispatch/scan.py

@@ -98,7 +98,9 @@ def numba_funcify_Scan(op: Scan, node, **kwargs):
     output_specs = [Out(x, borrow=False) for x in fgraph.outputs]
     insert_deepcopy(fgraph, wrapped_inputs=input_specs, wrapped_outputs=output_specs)
 
-    scan_inner_func, inner_func_cache_key = numba_funcify_and_cache_key(op.fgraph)
+    scan_inner_func, inner_func_cache_key = numba_funcify_and_cache_key(
+        op.fgraph, fgraph_name="numba_scan"
+    )
 
     outer_in_names_to_vars = {
         (f"outer_in_{i}" if i > 0 else "n_steps"): v for i, v in enumerate(node.inputs)