Add test case for _npi_advanced_indexing_multiple

- TODO: need to find a proper symbol for comparison
- currently test function is NOT valid

tests/python/frontend/mxnet/test_forward.py

@@ -1935,6 +1935,29 @@ def verify(data_shape, axis, use_length, length):
     verify((2, 3, 4), 2, True, np.array([[3, 4, 2], [1, 2, 1]]).astype("int32"))
 
 
+@pytest.mark.parametrize(
+    "data_shape, row_sel, col",
+    [
+        ((5, 7), (0, 1, 2, 3, 4,), 2),
+    ],
+)
+@pytest.mark.parametrize("dtype", ["float64", "float32"])
+@tvm.testing.parametrize_targets
+@pytest.mark.parametrize("kind", ["graph", "vm", "debug"])
+def test_forward_npi_advanced_indexing_multiple(data_shape, row_sel, col, dtype, target, ctx, kind):
+    data_np = np.random.uniform(size=data_shape).astype(dtype)
+    data = mx.sym.var("data")
+    ref_res = mx.np.array(data_np)[row_sel, col]
+
+    # TODO need to add the proper symbol operator
+    mx_sym = mx.sym.np.(data.as_np_ndarray()[row_sel, col])
+    mod, _ = relay.frontend.from_mxnet(mx_sym, shape={"data": data_shape}, dtype=dtype)
+    intrp = relay.create_executor(kind, mod=mod, ctx=ctx, target=target)
+    op_res = intrp.evaluate()(data_np)
+    tvm.testing.assert_allclose(op_res.asnumpy(), ref_res.asnumpy(), rtol=1e-5)
+    tvm.testing.assert_allclose(ref_res.asnumpy(), ref_res.asnumpy(), rtol=1e-5)
+
+
 @pytest.mark.skipif(not hasattr(mx.sym.np, "pad"), reason="mx.sym.np.pad hasn't been publish yet")
 @pytest.mark.parametrize(
     "data_shape, pad_width",