Fixed Dimshuffle for scalar result cases

aesara/link/numba/dispatch/elemwise.py

@@ -324,7 +324,6 @@ def numba_funcify_DimShuffle(op, **kwargs):
     inplace = op.inplace
 
     ndim_new_shape = len(shuffle) + len(augment)
-    create_zeros_tuple = numba_basic.create_tuple_creator(lambda _: 0, ndim_new_shape)
 
     if len(shuffle) > 0:
 
@@ -346,24 +345,35 @@ def numba_funcify_DimShuffle(op, **kwargs):
         def populate_new_shape(i, j, new_shape, shuffle_shape):
             return j, tuple_setitem(new_shape, i, 1)
 
-    @numba.njit
-    def dimshuffle_inner(x, shuffle):
-        res = np.transpose(x, shuffle + drop)
-        shuffle_shape = res.shape[: len(shuffle)]
+    if ndim_new_shape > 0:
+        create_zeros_tuple = numba_basic.create_tuple_creator(
+            lambda _: 0, ndim_new_shape
+        )
 
-        new_shape = create_zeros_tuple()
+        @numba.njit
+        def dimshuffle_inner(x, shuffle):
+            res = np.transpose(x, shuffle + drop)
+            shuffle_shape = res.shape[: len(shuffle)]
 
-        j = 0
-        for i in range(len(new_shape)):
-            j, new_shape = populate_new_shape(i, j, new_shape, shuffle_shape)
+            new_shape = create_zeros_tuple()
 
-        # FIXME: Numba's `array.reshape` only accepts C arrays.
-        res_reshape = np.reshape(np.ascontiguousarray(res), new_shape)
+            j = 0
+            for i in range(len(new_shape)):
+                j, new_shape = populate_new_shape(i, j, new_shape, shuffle_shape)
 
-        if not inplace:
-            return res_reshape.copy()
-        else:
-            return res_reshape
+            # FIXME: Numba's `array.reshape` only accepts C arrays.
+            res_reshape = np.reshape(np.ascontiguousarray(res), new_shape)
+
+            if not inplace:
+                return res_reshape.copy()
+            else:
+                return res_reshape
+
+    else:
+
+        @numba.njit
+        def dimshuffle_inner(x, shuffle):
+            return x.item()
 
     # Without the following wrapper function we would see this error:
     # E   No implementation of function Function(<built-in function getitem>) found for signature:

tests/link/test_numba.py

@@ -691,6 +691,14 @@ def test_AllocDiag(v, offset):
             (0,),
             True,
         ),
+        (
+            set_test_value(
+                aet.tensor(config.floatX, [True, True, True], name="a"),
+                np.array([[[1.0]]], dtype=config.floatX),
+            ),
+            (),
+            True,
+        ),
     ],
 )
 def test_Dimshuffle(v, new_order, inplace):