Rearrange fill_value type check logic and implement in full_like

dpctl/tensor/_ctors.py

@@ -1111,14 +1111,15 @@ def full(
             sycl_queue=sycl_queue,
         )
         return dpt.copy(dpt.broadcast_to(X, shape), order=order)
-
-    sycl_queue = normalize_queue_device(sycl_queue=sycl_queue, device=device)
-    usm_type = usm_type if usm_type is not None else "device"
-    if not isinstance(fill_value, Number):
+    elif not isinstance(fill_value, Number):
         raise TypeError(
             "`full` array cannot be constructed with value of type "
             f"{type(fill_value)}"
         )
+
+    sycl_queue = normalize_queue_device(sycl_queue=sycl_queue, device=device)
+    usm_type = usm_type if usm_type is not None else "device"
+
     dtype = _get_dtype(dtype, sycl_queue, ref_type=type(fill_value))
     res = dpt.usm_ndarray(
         shape,
@@ -1486,6 +1487,11 @@ def full_like(
             )
             _manager.add_event_pair(hev, copy_ev)
             return res
+        elif not isinstance(fill_value, Number):
+            raise TypeError(
+                "`full` array cannot be constructed with value of type "
+                f"{type(fill_value)}"
+            )
 
         dtype = _get_dtype(dtype, sycl_queue, ref_type=type(fill_value))
         res = _empty_like_orderK(x, dtype, usm_type, sycl_queue)

dpctl/tests/test_usm_ndarray_ctor.py

@@ -2623,8 +2623,12 @@ def test_setitem_from_numpy_contig():
     assert dpt.all(dpt.flip(Xdpt, axis=-1) == expected)
 
 
-def test_full_raises_type_error():
+def test_full_functions_raise_type_error():
     get_queue_or_skip()
 
     with pytest.raises(TypeError):
         dpt.full(1, "0")
+
+    x = dpt.ones(1, dtype="i4")
+    with pytest.raises(TypeError):
+        dpt.full_like(x, "0")