diff --git a/tests/python/relay/test_pass_partition_graph.py b/tests/python/relay/test_pass_partition_graph.py
index 69be0e602d439..45951a8f3b151 100644
--- a/tests/python/relay/test_pass_partition_graph.py
+++ b/tests/python/relay/test_pass_partition_graph.py
@@ -477,11 +477,11 @@ def test_partition_conv_bias_relu():
 
     def get_layers(prefix, data, in_channel, out_channel,
                    include_bn=True, include_sigmoid=False):
-        weight = relay.const(np.random.randn(out_channel, in_channel, 3, 3))
-        bn_gamma = relay.const(np.random.randn(out_channel))
-        bn_beta = relay.const(np.random.randn(out_channel))
-        bn_mmean = relay.const(np.random.randn(out_channel))
-        bn_mvar = relay.const(np.random.randn(out_channel))
+        weight = relay.var(prefix + "weight")
+        bn_gamma = relay.var(prefix + "bn_gamma")
+        bn_beta = relay.var(prefix + "bn_beta")
+        bn_mmean = relay.var(prefix + "bn_mean")
+        bn_mvar = relay.var(prefix + "bn_var")
 
         layer = relay.nn.conv2d(data=data, weight=weight, kernel_size=(3, 3),
                                 channels=out_channel, padding=(1, 1))
@@ -511,7 +511,7 @@ def pre_optimize(mod, params):
         ])
 
         if params != {}:
-            # This is required for constant folding on mobilenet
+            # This is required for constant folding
             mod["main"] = bind_params_by_name(mod["main"], params)
 
         with relay.build_config(opt_level=3, disabled_pass=["AlterOpLayout"]):
@@ -572,7 +572,7 @@ def test_exec(mod, params, ref_mod, ref_params, out_shape):
     net = get_net()
     mod, params = tvm.relay.testing.create_workload(net)
     ref_mod, ref_params = tvm.relay.testing.create_workload(net)
-    # test_exec(mod, params, ref_mod, ref_params, (1, 16, 224, 224))
+    test_exec(mod, params, ref_mod, ref_params, (1, 16, 224, 224))
 
     mod, params = relay.testing.mobilenet.get_workload()
     ref_mod, ref_params = relay.testing.mobilenet.get_workload()