diff --git a/tests/ut/python/nn/test_batchnorm.py b/tests/ut/python/nn/test_batchnorm.py
index b6e27e69502541dfae282c36b4ffa5d04a22a773..10b4cb00a1e326271ed569ecb7e3d06663de8f56 100644
--- a/tests/ut/python/nn/test_batchnorm.py
+++ b/tests/ut/python/nn/test_batchnorm.py
@@ -73,21 +73,3 @@ def test_compile_groupnorm():
     net = nn.GroupNorm(16, 64)
     input_data = Tensor(np.random.rand(1,64,256,256).astype(np.float32))
     _executor.compile(net, input_data)
-
-class GlobalBNNet(nn.Cell):
-    def __init__(self):
-        super(GlobalBNNet, self).__init__()
-        self.bn = nn.GlobalBatchNorm(num_features = 2, group = 2)
-    def construct(self, x):
-        return self.bn(x)
-
-def test_global_bn():
-    init("hccl")
-    size = 4
-    context.set_context(mode=context.GRAPH_MODE)
-    context.reset_auto_parallel_context()
-    context.set_auto_parallel_context(parallel_mode=ParallelMode.DATA_PARALLEL,
-                                      device_num=size, parameter_broadcast=True)
-    net = GlobalBNNet()
-    input_data = Tensor(np.array([[2.4, 2.1], [3.2, 5.4]], dtype=np.float32))
-    _executor.compile(net,input_data)