Numba ExtractDiag: respect output dtype

pytensor/link/numba/dispatch/tensor_basic.py

@@ -160,7 +160,7 @@ def numba_funcify_ExtractDiag(op, node, **kwargs):
                 diag_len = min(x.shape[axis2], max(0, x.shape[axis1] + offset))
             base_shape = x.shape[:axis1] + x.shape[axis1p1:axis2] + x.shape[axis2p1:]
             out_shape = (*base_shape, diag_len)
-            out = np.empty(out_shape)
+            out = np.empty(out_shape, dtype=x.dtype)
 
             for i in range(diag_len):
                 if offset >= 0:
@@ -170,7 +170,8 @@ def numba_funcify_ExtractDiag(op, node, **kwargs):
                 out[..., i] = new_entry
             return out
 
-    return extract_diag
+    cache_key = 1
+    return extract_diag, cache_key
 
 
 @register_funcify_default_op_cache_key(Eye)

tests/link/numba/test_tensor_basic.py

@@ -260,11 +260,21 @@ def test_Split_view():
             (pt.vector(), np.arange(10, dtype=config.floatX)),
             0,
         ),
+        (
+            (
+                pt.tensor3(dtype="int8"),
+                np.arange(3 * 5 * 5, dtype="int8").reshape((3, 5, 5)),
+            ),
+            1,
+        ),
     ],
 )
 def test_ExtractDiag(val, offset):
     val, val_test = val
+    if val.ndim <= 2:
         g = pt.diag(val, offset)
+    else:
+        g = pt.diagonal(val, offset)
 
     compare_numba_and_py(
         [val],