diff --git a/imperative/python/src/tensor_utils.cpp b/imperative/python/src/tensor_utils.cpp
index 28f7e4ee6d77e52ad44103a0c3f508804aa9f5b9..a82db85b39f42aaf5f4c530c341dd4fc8047190a 100644
--- a/imperative/python/src/tensor_utils.cpp
+++ b/imperative/python/src/tensor_utils.cpp
@@ -1247,6 +1247,29 @@ py::object _fastpath_getitem_cpp(py::handle inp_hdl, py::tuple tuple_val) {
     return ret[0];
 }
 
+py::tuple _get_tuple_idx(py::handle idx_hdl) {
+    if (py::isinstance<py::list>(idx_hdl)) {
+        bool is_all_int = true;
+        py::list idx = py::reinterpret_borrow<py::list>(idx_hdl);
+        for (size_t i = 0; i < idx.size(); i++) {
+            if (py::int_::check_(idx[i])) {
+                continue;
+            } else if (py::float_::check_(idx[i])) {
+                throw py::value_error("float idx is vaild in subtensor");
+            } else {
+                is_all_int = false;
+            }
+        }
+        if (is_all_int) {
+            return py::make_tuple(idx_hdl);
+        } else {
+            return py::tuple(idx);
+        }
+    } else {
+        return py::make_tuple(idx_hdl);
+    }
+}
+
 py::object _getitem_cpp(py::handle inp_hdl, py::handle idx_hdl) {
     py::tuple try_res = _try_cond_take(inp_hdl, idx_hdl);
     if (try_res.size() == 2) {
@@ -1256,7 +1279,7 @@ py::object _getitem_cpp(py::handle inp_hdl, py::handle idx_hdl) {
     if (py::isinstance<py::tuple>(idx_hdl)) {
         tuple_val = py::reinterpret_borrow<py::tuple>(idx_hdl);
     } else {
-        tuple_val = py::make_tuple(idx_hdl);
+        tuple_val = _get_tuple_idx(idx_hdl);
     }
     if (subtensor_fastpath(inp_hdl, tuple_val)) {
         return _fastpath_getitem_cpp(inp_hdl, tuple_val);
diff --git a/imperative/python/test/unit/core/test_indexing_op.py b/imperative/python/test/unit/core/test_indexing_op.py
index 1f636091669f84a2ef30e8cdeb3199abb27377a3..c5dd67762c04ac62840d58443deeed0e99d6a175 100644
--- a/imperative/python/test/unit/core/test_indexing_op.py
+++ b/imperative/python/test/unit/core/test_indexing_op.py
@@ -422,6 +422,8 @@ def test_advance_indexing_high_level(test_varnode):
     np.testing.assert_equal(x[1, :], get_value(xx[1, :]))
     np.testing.assert_equal(x[:, 1], get_value(xx[:, 1]))
     np.testing.assert_equal(x[1:3, :], get_value(xx[1:3, :]))
+    np.testing.assert_equal(x[-2:], get_value(xx[-2:]))
+    np.testing.assert_equal(x[:, -1:], get_value(xx[:, -1:]))
 
     np.testing.assert_equal(x[:, :], get_value(xx[:, :]))
     np.testing.assert_equal(x[1, 1], get_value(xx[1, 1]))
diff --git a/imperative/src/impl/ops/subtensor.cpp b/imperative/src/impl/ops/subtensor.cpp
index 18fff76b41ec2e683ac5fd195bc807cb417fc5cb..56dc8a151726e9f2a8f72224f8067e4683467f41 100644
--- a/imperative/src/impl/ops/subtensor.cpp
+++ b/imperative/src/impl/ops/subtensor.cpp
@@ -202,12 +202,13 @@ SmallVector<TensorPtr> apply_on_physical_tensor(
             ax_val = ax_val < 0 ? layout.shape[axis] + ax_val : ax_val;
             offset += ax_val * layout.stride[axis] * dtype_size;
         } else {
+            int shape_axis = src->layout().shape[axis];
             if (s_val < 0) {
-                int shape_axis = src->layout().shape[axis];
                 start = b_val == INT_MIN ? shape_axis - 1 : b_val;
                 start = mod_size(start, shape_axis);
             }
-            start = std::max(start, 0);
+            start = start == INT_MIN ? 0 : start;
+            start = start < 0 ? start + shape_axis : start;
             offset += start * layout.stride[axis] * dtype_size;
         }
     }