diff --git a/imperative/python/test/unit/module/test_external.py b/imperative/python/test/unit/module/test_external.py
deleted file mode 100644
index 6b074f70c6a5ae49ea0f0f9abc5b706860b702ad..0000000000000000000000000000000000000000
--- a/imperative/python/test/unit/module/test_external.py
+++ /dev/null
@@ -1,54 +0,0 @@
-# -*- coding: utf-8 -*-
-# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
-#
-# Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
-#
-# 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 io
-import os
-import platform
-
-import numpy as np
-import pytest
-
-import megengine as mge
-import megengine.utils.comp_graph_tools as cgtools
-from megengine import Tensor
-from megengine.distributed.helper import get_device_count_by_fork
-from megengine.jit import trace
-from megengine.module import Module
-from megengine.module.external import TensorrtRuntimeSubgraph
-
-
-class MyModule(Module):
-    def __init__(self, data):
-        from megengine.module.external import CambriconSubgraph
-
-        super().__init__()
-        self.cambricon = CambriconSubgraph(data, "subnet0", True)
-
-    def forward(self, inputs):
-        out = self.cambricon(inputs)
-        return out
-
-
-@pytest.mark.skip(reason="cambricon unimplemented")
-def test_cambricon_module():
-    model = "CambriconRuntimeOprTest.MutableBatchSize.mlu"
-    model = os.path.join(os.path.dirname(__file__), model)
-    with open(model, "rb") as f:
-        data = f.read()
-        m = MyModule(data)
-        inp = Tensor(
-            np.random.normal((1, 64, 32, 32)).astype(np.float16), device="cambricon0"
-        )
-
-        def inference(inps):
-            pred = m(inps)
-            return pred
-
-        pred = inference([inp])
-
-