diff --git a/test/test_network_ops/test_batch_norm_stats.py b/test/test_network_ops/test_batch_norm_stats.py
index 1af3ea4324da5ab89a0ec8f63dd68f90d15bb112..665b6eac81d440ead869ad4219e17b94e723a6a0 100644
--- a/test/test_network_ops/test_batch_norm_stats.py
+++ b/test/test_network_ops/test_batch_norm_stats.py
@@ -37,6 +37,7 @@ class TestBatchNormStats(TestCase):
         return out_mean, out_invstd
 
     def test_batch_norm_stats(self, device="npu"):
+        np.random.seed(1234)
         shape_format = [
             [[np.float16, -1, [2, 3, 12, 12]], 1e-5],
         ]
diff --git a/test/test_network_ops/test_batchnorm_backward_reduce.py b/test/test_network_ops/test_batchnorm_backward_reduce.py
index e252ff7bdf884d2138a98fa61d0274141984ff44..841daac02ddb17419731a94bf973b83b5740606b 100644
--- a/test/test_network_ops/test_batchnorm_backward_reduce.py
+++ b/test/test_network_ops/test_batchnorm_backward_reduce.py
@@ -36,6 +36,7 @@ class TestBatchNormBackwardReduce(TestCase):
         return list2
 
     def test_batch_norm_backward_reduce_mix_precision(self, device="npu"):
+        np.random.seed(1234)
         shape_format = [
             [[np.float16, -1, [1, 3, 9, 9]], [np.float32, -1, [3]],
                                  True, True, True],
@@ -61,6 +62,7 @@ class TestBatchNormBackwardReduce(TestCase):
                 self.assertRtolEqual(out16, out32)
 
     def test_batch_norm_backward_reduce(self, device="npu"):
+        np.random.seed(1234)
         shape_format = [
             [[np.float32, -1, [1, 3, 9, 9]], [np.float32, -1, [3]],
                                  True, True, True],
diff --git a/test/test_network_ops/test_batchnorm_gather_stats_with_counts.py b/test/test_network_ops/test_batchnorm_gather_stats_with_counts.py
index 8bf7442958c3ea8c26d90210b510313683f8ac56..b7b3ad936d1477a3293d1c6fcb9c8d787f95a381 100644
--- a/test/test_network_ops/test_batchnorm_gather_stats_with_counts.py
+++ b/test/test_network_ops/test_batchnorm_gather_stats_with_counts.py
@@ -62,6 +62,7 @@ class TestBatchNormGatherStatsWithCounts(TestCase):
         return npu_counts
 
     def test_batch_norm_gather_stats_with_counts(self, device="npu"):
+        np.random.seed(1234)
         shape_format = [
             [[np.float16, -1, [2, 3, 12, 12]], [np.float32, -1, [4, 3]], [np.float32, -1, [4, 3]], \
                     [np.float32, -1, [3]], [np.float32, -1, [3]], 1e-3, 1e-5, [np.float32, -1, [4]], 0],
diff --git a/test/test_network_ops/test_npu_giou_backward.py b/test/test_network_ops/test_npu_giou_backward.py
index 2176fde593a264f26fc9236415c35dc323d81527..66db6588441addd8478552ade1bced8bf9cf548f 100644
--- a/test/test_network_ops/test_npu_giou_backward.py
+++ b/test/test_network_ops/test_npu_giou_backward.py
@@ -53,6 +53,7 @@ class TestNpuGiouBackward(TestCase):
         return output, box1_grad, box2_grad
 
     def test_npu_giou_backward_shape_format(self):
+        np.random.seed(1234)
         shape_list1 = [
             [1, 1]
         ]