diff --git a/tests/python/relay/test_pass_alter_op_layout.py b/tests/python/relay/test_pass_alter_op_layout.py
index 3cee84f6a4dd5..c8b5f3f8da60f 100644
--- a/tests/python/relay/test_pass_alter_op_layout.py
+++ b/tests/python/relay/test_pass_alter_op_layout.py
@@ -1353,6 +1353,48 @@ def alter_conv2d(attrs, inputs, tinfos, out_type):
         assert before.body.attrs.layout == "NCHW"
 
 
+def test_alter_op_dense_packed_data():
+    def before():
+        x = relay.var("x", shape=(1, 32, 8, 8))
+        weight = relay.var("conv2d_weight", shape=(32, 32, 3, 3))
+        conv = relay.nn.conv2d(x, weight, channels=32, kernel_size=(3, 3), padding=(1, 1))
+        pool = relay.nn.avg_pool2d(conv, pool_size=[8, 8], padding=[0, 0, 0, 0])
+        squeeze = relay.squeeze(pool, axis=[2, 3])
+        dense = relay.nn.dense(squeeze, relay.var("dense_weight", shape=(16, 32)))
+        return relay.Function(analysis.free_vars(dense), dense)
+
+    def expected():
+        x = relay.var("x", shape=(1, 32, 8, 8))
+        conv_weight = relay.var("conv2d_weight", shape=(32, 32, 3, 3))
+        dense_weight = relay.var("dense_weight", shape=(16, 32))
+        conv = relay.nn.contrib_conv2d_nchwc(
+            relay.layout_transform(x, "NCHW", "NCHW8c"),
+            relay.layout_transform(conv_weight, "OIHW", "OIHW8i8o"),
+            channels=32,
+            kernel_size=(3, 3),
+            padding=(1, 1),
+            data_layout="NCHW8c",
+            kernel_layout="OIHW8i8o",
+            out_layout="NCHW8c",
+        )
+        pool = relay.nn.avg_pool2d(conv, pool_size=[8, 8], padding=[0, 0, 0, 0], layout="NCHW8c")
+        squeeze = relay.squeeze(pool, axis=[2, 3])
+        dense = relay.nn.contrib_dense_pack(
+            relay.layout_transform(squeeze, "NC8c", "NC"),
+            relay.layout_transform(dense_weight, "NK", "NK16n"),
+            out_dtype="float32",
+        )
+        return relay.Function(analysis.free_vars(dense), dense)
+
+    with tvm.target.Target("llvm"):
+        with TempOpAttr(
+            "nn.dense", "FTVMAlterOpLayout", topi.x86.dense_alter_op._alter_dense_layout
+        ):
+            a = run_opt_pass(before(), transform.AlterOpLayout())
+            b = run_opt_pass(expected(), transform.InferType())
+            assert tvm.ir.structural_equal(a, b)
+
+
 if __name__ == "__main__":
     test_alter_op()
     test_alter_return_none()
@@ -1377,3 +1419,4 @@ def alter_conv2d(attrs, inputs, tinfos, out_type):
     test_alter_op_dense()
     test_alter_layout_strided_slice_axes_nhwc()
     test_not_inplace_modify()
+    test_alter_op_dense_packed_data()