Fix some floatX issues

pytensor/link/numba/dispatch/elemwise.py

@@ -708,17 +708,19 @@ def numba_funcify_Sum(op, node, **kwargs):
 
     np_acc_dtype = np.dtype(acc_dtype)
 
+    out_dtype = np.dtype(node.outputs[0].dtype)
+
     if ndim_input == len(axes):
 
         @numba_njit(fastmath=True)
         def impl_sum(array):
-            return np.asarray(array.sum(), dtype=np_acc_dtype)
+            return np.asarray(array.sum(), dtype=np_acc_dtype).astype(out_dtype)
 
     elif len(axes) == 0:
 
         @numba_njit(fastmath=True)
         def impl_sum(array):
-            return array
+            return np.asarray(array, dtype=out_dtype)
 
     else:
         impl_sum = numba_funcify_CAReduce(op, node, **kwargs)

tests/link/numba/test_scalar.py

@@ -97,7 +97,7 @@ def test_Clip(v, min, max):
     ],
 )
 def test_Composite(inputs, input_values, scalar_fn):
-    composite_inputs = [aes.float64(i.name) for i in inputs]
+    composite_inputs = [aes.ScalarType(config.floatX)(name=i.name) for i in inputs]
     comp_op = Elemwise(Composite(composite_inputs, [scalar_fn(*composite_inputs)]))
     out_fg = FunctionGraph(inputs, [comp_op(*inputs)])
     compare_numba_and_py(out_fg, input_values)