diff --git a/imperative/python/test/unit/test_tracing.py b/imperative/python/test/unit/test_tracing.py
index 3742d6100e60393d3e0528c3371af29163b3b69b..58f07207334be6da0d65a1d7f34b4db65811a825 100644
--- a/imperative/python/test/unit/test_tracing.py
+++ b/imperative/python/test/unit/test_tracing.py
@@ -6,6 +6,7 @@
 # Unless required by applicable law or agreed to in writing,
 # software distributed under the License is distributed on an
 # "AS IS" BASIS, WITHOUT ARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+import inspect
 import io
 import itertools
 from tempfile import mkstemp
@@ -492,3 +493,44 @@ def test_random(shape_mode):
 
     run_test(uniform)
     run_test(normal)
+
+
+@pytest.mark.parametrize("shape_mode", [False, True])
+def test_trace_advance_indexing(shape_mode):
+    funcs = [
+        lambda x, i: x[i],
+        # lambda x, i, j: x[i, j],  # FIXME
+        lambda x, i, j: x[i, :, j, ...],
+        # lambda x, start, end: x[start:end],  # FIXME
+        lambda x, start, end: x[:, 0, start:end, ..., 1],
+        lambda x, vec: x[vec],
+        lambda x, vec: x[vec, ..., 0, 1:3],
+        lambda x, vec: x[vec, vec[0], vec[1]],
+        # lambda x, i, start, end, vec: x[i, ..., :, vec, start:end],  # FIXME
+        lambda x, mask: x[mask],
+    ]
+
+    inputs = {
+        "x": np.random.randn(5, 5, 5, 5, 5).astype("float32"),
+        "i": 0,
+        "j": 2,
+        "start": 1,
+        "end": 3,
+        "vec": [1, 2, 3],
+        "mask": np.random.randn(5, 5, 5, 5, 5) >= 0,
+    }
+    for f in funcs:
+        sig = inspect.signature(f)
+        param_names = list(sig._parameters.keys())
+        params = {}
+        params_np = {}
+        f_traced = trace(f, symbolic=False, symbolic_shape=shape_mode)
+        for name in param_names:
+            params[name] = tensor(inputs[name])
+            params_np[name] = inputs[name]
+        expected = f(**params_np)
+        result_imperative = f(**params)
+        np.testing.assert_equal(expected, result_imperative.numpy())
+        for _ in range(3):
+            result_trace = f_traced(**params)
+            np.testing.assert_equal(expected, result_trace.numpy())
diff --git a/src/opr/impl/indexing.cpp b/src/opr/impl/indexing.cpp
index 1715b99d2811c85c6aef0231b07f1deb81584aad..b6e4e41f1554b50baa3b103996bd5d021d0a42ab 100644
--- a/src/opr/impl/indexing.cpp
+++ b/src/opr/impl/indexing.cpp
@@ -248,7 +248,8 @@ intl::MultiAxisVecFancyIndexingHelper::make_megdnn_index_desc(
         }
     }
 
-    if (!m_scalar_idx_warn_printed && warn_all_scalar) {
+    if (!m_scalar_idx_warn_printed && warn_all_scalar &&
+        !this->owner_graph()->options().imperative_proxy_graph) {
         bool all_scalar = true;
         for (auto &&i: index) {
             if (!i.vec.layout.is_scalar()) {