From a0ff742442b28a39061a84736a3fa2d9e047584a Mon Sep 17 00:00:00 2001
From: yanghaoran <yanghaoran2@huawei.com>
Date: Fri, 27 Aug 2021 19:59:59 +0800
Subject: [PATCH] prune less effective Ascend testcases to level1

---
 tests/st/auto_monad/test_auto_monad.py        | 28 +++++++++----------
 .../auto_monad/test_auto_monad_mindtester.py  |  2 +-
 tests/st/auto_monad/test_effect_ops.py        |  4 +--
 tests/st/auto_monad/test_effect_optimizer.py  | 20 ++++++-------
 tests/st/auto_monad/test_effect_random.py     | 12 ++++----
 tests/st/auto_monad/test_float_overflow.py    |  2 +-
 tests/st/control/test_ascend_control_sink.py  | 10 +++----
 tests/st/control/test_cont_grad.py            | 10 +++----
 tests/st/control/test_multigraph_sink.py      | 14 +++++-----
 tests/st/control/test_switch_layer.py         |  2 +-
 tests/st/control/test_tensor_in_list.py       |  2 +-
 tests/st/control/test_while_grad.py           |  2 +-
 tests/st/dynamic_shape/test_ftrl.py           |  2 +-
 .../_attribution/test_localization.py         |  8 +++---
 .../test_heterogeneous_excutor.py             |  2 +-
 tests/st/high_grad/test_highgrad_param.py     |  2 +-
 tests/st/mix_precision/test_mix_precision.py  |  2 +-
 tests/st/numpy_native/test_math_ops.py        |  4 +--
 .../ops/ascend/test_conv2d_depthwiseconv2d.py |  4 +--
 tests/st/ops/ascend/test_dynamic_gru_v2.py    |  2 +-
 tests/st/ops/custom_ops_tbe/test_square.py    |  2 +-
 tests/st/ops/graph_kernel/test_layernorm.py   |  2 +-
 tests/st/ops/graph_kernel/test_reorder_ops.py |  2 +-
 tests/st/ops/graph_kernel/test_softmax.py     |  2 +-
 .../test_entry_cmp_sparse_embedding.py        |  2 +-
 .../st/pynative/loss_scale/test_loss_scale.py |  2 +-
 .../pynative/parser/test_parser_construct.py  |  2 +-
 .../parser/test_parser_tensor_assign.py       |  2 +-
 .../st/pynative/test_graph_param_transform.py |  4 +--
 tests/st/pynative/test_pynative_hook.py       |  8 +++---
 tests/st/pynative/test_pynative_hook_grad.py  | 12 ++++----
 ...ive_layernorm_input_and_argmaxwithvalue.py |  2 +-
 tests/st/pynative/test_pynative_lenet.py      |  4 +--
 .../test_pynative_mixed_precision_cells.py    |  4 +--
 .../pynative/test_pynative_temporary_cell.py  |  2 +-
 tests/st/pynative/test_tensor_augassign.py    |  6 ++--
 tests/st/pynative/test_tensor_getitem.py      | 16 +++++------
 tests/st/pynative/test_tensor_setitem.py      | 18 ++++++------
 38 files changed, 113 insertions(+), 113 deletions(-)

diff --git a/tests/st/auto_monad/test_auto_monad.py b/tests/st/auto_monad/test_auto_monad.py
index 9acf136eeb0..e5294cb460c 100644
--- a/tests/st/auto_monad/test_auto_monad.py
+++ b/tests/st/auto_monad/test_auto_monad.py
@@ -320,7 +320,7 @@ def test_assign():
     np.testing.assert_array_equal(out.asnumpy(), expect.asnumpy())
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
@@ -341,7 +341,7 @@ def test_assign_implicit():
     assert out.dtype == ms.float32
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
@@ -370,7 +370,7 @@ def test_assign_write_after_read():
     np.testing.assert_array_equal(out.asnumpy(), expect.asnumpy())
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
@@ -424,7 +424,7 @@ def test_assign_if():
     np.testing.assert_array_equal(out.asnumpy(), expect.asnumpy())
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
@@ -450,7 +450,7 @@ def test_if():
     np.testing.assert_array_equal(out.asnumpy(), expect.asnumpy())
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
@@ -471,7 +471,7 @@ def test_while():
     np.testing.assert_array_equal(out.asnumpy(), expect.asnumpy())
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
@@ -497,7 +497,7 @@ def test_assign_while():
     np.testing.assert_array_equal(out.asnumpy(), expect.asnumpy())
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
@@ -597,7 +597,7 @@ def test_print_assign_for():
     check_output(cap.output, patterns)
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
@@ -684,7 +684,7 @@ def test_if_lambda():
     np.testing.assert_array_equal(out.asnumpy(), expect.asnumpy())
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
@@ -712,7 +712,7 @@ def test_multi_assign():
     np.testing.assert_array_equal(out.asnumpy(), expect.asnumpy())
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
@@ -771,7 +771,7 @@ def test_multi_assign_print():
         net.para2.data.asnumpy(), expect_para2.asnumpy())
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
@@ -808,7 +808,7 @@ def test_matmul_assign_biasadd():
         context.set_context(mode=context.GRAPH_MODE)
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
@@ -874,7 +874,7 @@ def test_isolate_call():
     np.testing.assert_array_equal(out.asnumpy(), expect.asnumpy())
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
@@ -1370,7 +1370,7 @@ def test_auto_mixed_precision_controlflow_auto(pynative_save_graphs):
 
 # op_cast should be located in order_list after abstract_specialize.
 # Besides Ascend, it can work on CPU.
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
diff --git a/tests/st/auto_monad/test_auto_monad_mindtester.py b/tests/st/auto_monad/test_auto_monad_mindtester.py
index a5a4857d98c..f2c6afa134b 100644
--- a/tests/st/auto_monad/test_auto_monad_mindtester.py
+++ b/tests/st/auto_monad/test_auto_monad_mindtester.py
@@ -411,7 +411,7 @@ class SideEffectAssignAddnReluReturnParNet(Cell):
         return grad_out
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
diff --git a/tests/st/auto_monad/test_effect_ops.py b/tests/st/auto_monad/test_effect_ops.py
index 6cbb13b3826..7029785d685 100644
--- a/tests/st/auto_monad/test_effect_ops.py
+++ b/tests/st/auto_monad/test_effect_ops.py
@@ -312,7 +312,7 @@ class ScatterNdUpdateNet(nn.Cell):
         return self.input_x
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
@@ -337,7 +337,7 @@ class ScatterNonAliasingAddNet(nn.Cell):
         return out
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
diff --git a/tests/st/auto_monad/test_effect_optimizer.py b/tests/st/auto_monad/test_effect_optimizer.py
index 4f763099367..7b53d753857 100644
--- a/tests/st/auto_monad/test_effect_optimizer.py
+++ b/tests/st/auto_monad/test_effect_optimizer.py
@@ -37,7 +37,7 @@ class AdamNet(nn.Cell):
         return self.var, self.m, self.v
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
@@ -264,7 +264,7 @@ class ApplyFtrlNet(nn.Cell):
         return self.var, self.accum, self.linear
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
@@ -321,7 +321,7 @@ class ApplyMomentumNet(nn.Cell):
         return self.var, self.accum
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
@@ -351,7 +351,7 @@ class ApplyPowerSignNet(nn.Cell):
         return self.var, self.m
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
@@ -439,7 +439,7 @@ class ApplyRMSPropNet(nn.Cell):
         return self.var
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
@@ -508,7 +508,7 @@ class FusedSparseFtrlNet(nn.Cell):
         return self.var, self.accum, self.linear
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
@@ -576,7 +576,7 @@ class FusedSparseProximalAdagradNet(nn.Cell):
         return self.var, self.accum
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
@@ -667,7 +667,7 @@ class SparseApplyFtrlNet(nn.Cell):
         return self.var, self.accum, self.linear
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
@@ -699,7 +699,7 @@ class SparseApplyFtrlV2Net(nn.Cell):
         return self.var, self.accum, self.linear
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
@@ -729,7 +729,7 @@ class SparseApplyProximalAdagradNet(nn.Cell):
         return self.var, self.accum
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
diff --git a/tests/st/auto_monad/test_effect_random.py b/tests/st/auto_monad/test_effect_random.py
index 7d594c10361..f79124affbe 100644
--- a/tests/st/auto_monad/test_effect_random.py
+++ b/tests/st/auto_monad/test_effect_random.py
@@ -42,7 +42,7 @@ class Sampling(nn.Cell):
         return s1, s2, s3
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
@@ -68,7 +68,7 @@ class CompositeNormalNet(nn.Cell):
         return s1, s2, s3
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
@@ -95,7 +95,7 @@ class CompositeLaplaceNet(nn.Cell):
         return s1, s2, s3
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
@@ -122,7 +122,7 @@ class CompositeGammaNet(nn.Cell):
         return s1, s2, s3
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
@@ -175,7 +175,7 @@ class CompositeUniformNet(nn.Cell):
         return s1, s2, s3
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
@@ -231,7 +231,7 @@ class StandardLaplaceNet(nn.Cell):
         return s1, s2, s3
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
diff --git a/tests/st/auto_monad/test_float_overflow.py b/tests/st/auto_monad/test_float_overflow.py
index 374cf3dffaf..b41e8bb0b79 100644
--- a/tests/st/auto_monad/test_float_overflow.py
+++ b/tests/st/auto_monad/test_float_overflow.py
@@ -59,7 +59,7 @@ class NpuFloatNet(nn.Cell):
         return out
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
diff --git a/tests/st/control/test_ascend_control_sink.py b/tests/st/control/test_ascend_control_sink.py
index 8c6bf19aaa0..ec8e98bb487 100644
--- a/tests/st/control/test_ascend_control_sink.py
+++ b/tests/st/control/test_ascend_control_sink.py
@@ -189,7 +189,7 @@ class NotOperation(nn.Cell):
         return not x_sum
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
@@ -207,7 +207,7 @@ def test_simple_if():
     assert np.allclose(expect, output.asnumpy(), 0.0001, 0.0001)
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
@@ -223,7 +223,7 @@ def test_simple_if_with_assign():
     assert np.allclose(expect, output.asnumpy(), 0.0001, 0.0001)
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
@@ -237,7 +237,7 @@ def test_if_in_if():
     assert np.allclose(expect, output.asnumpy(), 0.0001, 0.0001)
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
@@ -271,7 +271,7 @@ def test_simple_while():
     assert np.allclose(expect, output.asnumpy(), 0.0001, 0.0001)
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
diff --git a/tests/st/control/test_cont_grad.py b/tests/st/control/test_cont_grad.py
index ed7a8aba3a9..0fa3fc0bba6 100644
--- a/tests/st/control/test_cont_grad.py
+++ b/tests/st/control/test_cont_grad.py
@@ -148,7 +148,7 @@ def test_while_with_variable_grad():
     assert np.allclose(graph_output[1].asnumpy(), expect_two, 0.0001, 0.0001)
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_gpu_training
 @pytest.mark.env_onecard
@@ -217,7 +217,7 @@ def test_while_endless_case():
     assert np.allclose(graph_output.asnumpy(), pynative_output.asnumpy(), 0.0001, 0.0001)
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_gpu_training
 @pytest.mark.env_onecard
@@ -298,7 +298,7 @@ def test_while_with_param_forward_with_const_branch():
     assert np.allclose(graph_output.asnumpy(), pynative_output.asnumpy(), 0.0001, 0.0001)
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_gpu_training
 @pytest.mark.env_onecard
@@ -626,7 +626,7 @@ def test_while_with_param_basic_grad():
     assert np.allclose(graph_output[0].asnumpy(), pynative_output[0].asnumpy(), 0.0001, 0.0001)
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_gpu_training
 @pytest.mark.env_onecard
@@ -1034,7 +1034,7 @@ def test_with_param_if_by_if_grad_param_excute_null():
     assert np.allclose(graph_output[0].asnumpy(), pynative_output[0].asnumpy(), 0.0001, 0.0001)
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_gpu_training
 @pytest.mark.env_onecard
diff --git a/tests/st/control/test_multigraph_sink.py b/tests/st/control/test_multigraph_sink.py
index ba0f45b06cf..8f67198ba30 100644
--- a/tests/st/control/test_multigraph_sink.py
+++ b/tests/st/control/test_multigraph_sink.py
@@ -132,7 +132,7 @@ def while_in_while_in_while(x, y, z):
     return out
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.env_onecard
@@ -148,7 +148,7 @@ def test_if_by_if():
     assert output == expect
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.env_onecard
@@ -158,7 +158,7 @@ def test_if_in_if():
     assert output == expect
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.env_onecard
@@ -168,7 +168,7 @@ def test_simple_while():
     assert output == expect
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.env_onecard
@@ -178,7 +178,7 @@ def test_while_by_while():
     assert output == expect
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.env_onecard
@@ -188,7 +188,7 @@ def test_while_in_while():
     assert output == expect
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.env_onecard
@@ -198,7 +198,7 @@ def test_while_by_while_in_while():
     assert output == expect
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.env_onecard
diff --git a/tests/st/control/test_switch_layer.py b/tests/st/control/test_switch_layer.py
index 3f33b94b829..607421909db 100644
--- a/tests/st/control/test_switch_layer.py
+++ b/tests/st/control/test_switch_layer.py
@@ -37,7 +37,7 @@ class CaseNet(nn.Cell):
         return x
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_x86_gpu_training
diff --git a/tests/st/control/test_tensor_in_list.py b/tests/st/control/test_tensor_in_list.py
index e1d423e719a..f769e73a2b5 100644
--- a/tests/st/control/test_tensor_in_list.py
+++ b/tests/st/control/test_tensor_in_list.py
@@ -35,7 +35,7 @@ class Net(nn.Cell):
         return out
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.env_onecard
diff --git a/tests/st/control/test_while_grad.py b/tests/st/control/test_while_grad.py
index 870d46a1efa..6d667cdc545 100644
--- a/tests/st/control/test_while_grad.py
+++ b/tests/st/control/test_while_grad.py
@@ -37,7 +37,7 @@ class GradNet(nn.Cell):
         return gradient_function(x, y)
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
diff --git a/tests/st/dynamic_shape/test_ftrl.py b/tests/st/dynamic_shape/test_ftrl.py
index bc1ce5b5143..36cda79cf5d 100644
--- a/tests/st/dynamic_shape/test_ftrl.py
+++ b/tests/st/dynamic_shape/test_ftrl.py
@@ -74,7 +74,7 @@ def test_lazy_adam_net():
     np.allclose(net.weight2.asnumpy(), np.array([[[0.9, 0.9]], [[0.9, 0.9]], [[0.9, 0.9]]]))
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
diff --git a/tests/st/explainer/benchmark/_attribution/test_localization.py b/tests/st/explainer/benchmark/_attribution/test_localization.py
index d456c1132f6..cd76530a3dd 100644
--- a/tests/st/explainer/benchmark/_attribution/test_localization.py
+++ b/tests/st/explainer/benchmark/_attribution/test_localization.py
@@ -64,7 +64,7 @@ class TestLocalization:
         self.saliency_gt = mock_gradient_call(self.explainer, self.data, self.target)
         self.num_class = 2
 
-    @pytest.mark.level0
+    @pytest.mark.level1
     @pytest.mark.platform_arm_ascend_training
     @pytest.mark.platform_x86_ascend_training
     @pytest.mark.env_onecard
@@ -81,7 +81,7 @@ class TestLocalization:
             res = pg.evaluate(self.explainer, self.data, targets=self.target, mask=self.masks)
         assert np.max(np.abs(np.array([res_gt]) - res)) < 1e-5
 
-    @pytest.mark.level0
+    @pytest.mark.level1
     @pytest.mark.platform_arm_ascend_training
     @pytest.mark.platform_x86_ascend_training
     @pytest.mark.env_onecard
@@ -100,7 +100,7 @@ class TestLocalization:
 
         assert np.allclose(np.array([res_gt]), res)
 
-    @pytest.mark.level0
+    @pytest.mark.level1
     @pytest.mark.platform_arm_ascend_training
     @pytest.mark.platform_x86_ascend_training
     @pytest.mark.env_onecard
@@ -116,7 +116,7 @@ class TestLocalization:
         res = pg.evaluate(self.explainer, self.data, targets=self.target, mask=self.masks, saliency=self.saliency_gt)
         assert np.allclose(np.array([res_gt]), res)
 
-    @pytest.mark.level0
+    @pytest.mark.level1
     @pytest.mark.platform_arm_ascend_training
     @pytest.mark.platform_x86_ascend_training
     @pytest.mark.env_onecard
diff --git a/tests/st/heterogeneous_excutor/test_heterogeneous_excutor.py b/tests/st/heterogeneous_excutor/test_heterogeneous_excutor.py
index e267525afcf..fbe11c4949c 100644
--- a/tests/st/heterogeneous_excutor/test_heterogeneous_excutor.py
+++ b/tests/st/heterogeneous_excutor/test_heterogeneous_excutor.py
@@ -57,7 +57,7 @@ class Net(nn.Cell):
         return x
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_x86_gpu_training
diff --git a/tests/st/high_grad/test_highgrad_param.py b/tests/st/high_grad/test_highgrad_param.py
index a91f87c40d9..2add565f2dd 100644
--- a/tests/st/high_grad/test_highgrad_param.py
+++ b/tests/st/high_grad/test_highgrad_param.py
@@ -59,7 +59,7 @@ class GradSec(nn.Cell):
         return output
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_x86_gpu_training
diff --git a/tests/st/mix_precision/test_mix_precision.py b/tests/st/mix_precision/test_mix_precision.py
index 302c90554f7..cb768bccf2f 100644
--- a/tests/st/mix_precision/test_mix_precision.py
+++ b/tests/st/mix_precision/test_mix_precision.py
@@ -105,7 +105,7 @@ def test_sit_auto_mix_precision_train_o3():
     assert np.allclose(out.asnumpy(), out_pynative.asnumpy(), 0.001, 0.001)
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
diff --git a/tests/st/numpy_native/test_math_ops.py b/tests/st/numpy_native/test_math_ops.py
index 743e0cfda45..2c66bfed00c 100644
--- a/tests/st/numpy_native/test_math_ops.py
+++ b/tests/st/numpy_native/test_math_ops.py
@@ -1382,7 +1382,7 @@ def test_negative():
     match_array(mnp_neg.asnumpy(), onp_neg, 1e-5)
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_x86_gpu_training
@@ -2132,7 +2132,7 @@ def test_digitize():
     match_res(mnp.digitize, onp.digitize, x, bins, right=True)
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_x86_gpu_training
diff --git a/tests/st/ops/ascend/test_conv2d_depthwiseconv2d.py b/tests/st/ops/ascend/test_conv2d_depthwiseconv2d.py
index 59bc586877b..8df149e9680 100644
--- a/tests/st/ops/ascend/test_conv2d_depthwiseconv2d.py
+++ b/tests/st/ops/ascend/test_conv2d_depthwiseconv2d.py
@@ -25,7 +25,7 @@ from mindspore import Tensor
 context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.env_onecard
@@ -36,7 +36,7 @@ def test_conv2d_depthwiseconv2d_str():
     assert output.shape == (3, 128, 32, 28)
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.env_onecard
diff --git a/tests/st/ops/ascend/test_dynamic_gru_v2.py b/tests/st/ops/ascend/test_dynamic_gru_v2.py
index 67eef756f83..44eba6b0d89 100644
--- a/tests/st/ops/ascend/test_dynamic_gru_v2.py
+++ b/tests/st/ops/ascend/test_dynamic_gru_v2.py
@@ -32,7 +32,7 @@ class DynamicGRUV2(nn.Cell):
         return self.dynamic_gru(x, weight_i, weight_h, bias_i, bias_h, None, init_h)
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.env_onecard
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
diff --git a/tests/st/ops/custom_ops_tbe/test_square.py b/tests/st/ops/custom_ops_tbe/test_square.py
index 5e9c4d8535b..0290a67969c 100644
--- a/tests/st/ops/custom_ops_tbe/test_square.py
+++ b/tests/st/ops/custom_ops_tbe/test_square.py
@@ -48,7 +48,7 @@ def test_net():
     expect = np.array([1.0, 16.0, 81.0]).astype(np.float32)
     assert (output.asnumpy() == expect).all()
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.env_onecard
diff --git a/tests/st/ops/graph_kernel/test_layernorm.py b/tests/st/ops/graph_kernel/test_layernorm.py
index aea6a510295..d9ac47f55d8 100644
--- a/tests/st/ops/graph_kernel/test_layernorm.py
+++ b/tests/st/ops/graph_kernel/test_layernorm.py
@@ -147,7 +147,7 @@ def test_layernorm_grad_gpu():
     test_layernorm_grad([4, 32, 32], np.float32, -1, -1)
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
diff --git a/tests/st/ops/graph_kernel/test_reorder_ops.py b/tests/st/ops/graph_kernel/test_reorder_ops.py
index 6652a8ee0e1..280b3b90804 100644
--- a/tests/st/ops/graph_kernel/test_reorder_ops.py
+++ b/tests/st/ops/graph_kernel/test_reorder_ops.py
@@ -106,7 +106,7 @@ def test_castdown_gpu():
     test_castdown()
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
diff --git a/tests/st/ops/graph_kernel/test_softmax.py b/tests/st/ops/graph_kernel/test_softmax.py
index e7eea225f88..dbf6cdb5437 100644
--- a/tests/st/ops/graph_kernel/test_softmax.py
+++ b/tests/st/ops/graph_kernel/test_softmax.py
@@ -55,7 +55,7 @@ def test_softmax_gpu():
     context.set_context(mode=context.GRAPH_MODE, device_target="GPU")
     test_softmax([4, 32, 48], np.float32)
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
diff --git a/tests/st/ps/cmp_sparse_embedding/test_entry_cmp_sparse_embedding.py b/tests/st/ps/cmp_sparse_embedding/test_entry_cmp_sparse_embedding.py
index bc400c963c1..cfa45ebdb0c 100644
--- a/tests/st/ps/cmp_sparse_embedding/test_entry_cmp_sparse_embedding.py
+++ b/tests/st/ps/cmp_sparse_embedding/test_entry_cmp_sparse_embedding.py
@@ -16,7 +16,7 @@ import os
 import pytest
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
diff --git a/tests/st/pynative/loss_scale/test_loss_scale.py b/tests/st/pynative/loss_scale/test_loss_scale.py
index 3cbbaa819e7..e0e4fe0bc63 100644
--- a/tests/st/pynative/loss_scale/test_loss_scale.py
+++ b/tests/st/pynative/loss_scale/test_loss_scale.py
@@ -232,7 +232,7 @@ def test_loss_scale_fp16_opt_rmsprop_overflow():
     assert output_1[0].asnumpy() == output_2[0].asnumpy()
     assert output_1[1].asnumpy() == output_2[1].asnumpy() == True
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
diff --git a/tests/st/pynative/parser/test_parser_construct.py b/tests/st/pynative/parser/test_parser_construct.py
index 1ecd1e86990..f09fe4323a7 100644
--- a/tests/st/pynative/parser/test_parser_construct.py
+++ b/tests/st/pynative/parser/test_parser_construct.py
@@ -25,7 +25,7 @@ from mindspore.common.parameter import Parameter
 def setup_module():
     context.set_context(mode=context.PYNATIVE_MODE, device_target="Ascend")
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
diff --git a/tests/st/pynative/parser/test_parser_tensor_assign.py b/tests/st/pynative/parser/test_parser_tensor_assign.py
index deba67e6fa4..1a4f74d96cf 100644
--- a/tests/st/pynative/parser/test_parser_tensor_assign.py
+++ b/tests/st/pynative/parser/test_parser_tensor_assign.py
@@ -25,7 +25,7 @@ from mindspore.ops import operations as P
 def setup_module():
     context.set_context(mode=context.PYNATIVE_MODE, device_target="Ascend")
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
diff --git a/tests/st/pynative/test_graph_param_transform.py b/tests/st/pynative/test_graph_param_transform.py
index a6975fafefa..94c48701fa0 100644
--- a/tests/st/pynative/test_graph_param_transform.py
+++ b/tests/st/pynative/test_graph_param_transform.py
@@ -72,7 +72,7 @@ class GradOfAllInputs(_Grad):
                          network=network, real_inputs_count=real_inputs_count)
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
@@ -120,7 +120,7 @@ def test_row_tensor_in_while():
     assert dense_shape == out[2]
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
diff --git a/tests/st/pynative/test_pynative_hook.py b/tests/st/pynative/test_pynative_hook.py
index 11ead25f903..62804afde27 100644
--- a/tests/st/pynative/test_pynative_hook.py
+++ b/tests/st/pynative/test_pynative_hook.py
@@ -161,7 +161,7 @@ class Ms_Cell_Change_Shape(nn.Cell):
         return dout
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
@@ -185,7 +185,7 @@ def test_pynative_lenet_train_hook_function_print_and_save_grad():
     assert success
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
@@ -198,7 +198,7 @@ def test_pynative_custom_bprop_and_Cell_MulAdd():
            (Tensor(1.0, mstype.float32), Tensor(2.0, mstype.float32))
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
@@ -211,7 +211,7 @@ def test_pynative_custom_bprop_and_Cell_Ms_Cell_Change_Shape():
     assert "Shapes of input and parameter are different, input index" in str(ex.value)
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
diff --git a/tests/st/pynative/test_pynative_hook_grad.py b/tests/st/pynative/test_pynative_hook_grad.py
index 75a2a6fcec7..d240ccf1226 100644
--- a/tests/st/pynative/test_pynative_hook_grad.py
+++ b/tests/st/pynative/test_pynative_hook_grad.py
@@ -406,7 +406,7 @@ def pynative_hook_child_cell_record_grad():
     if ms_net.grad_output_list or ms_net.grad_input_list:
         assert False
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
@@ -421,7 +421,7 @@ def test_pynative_hook_diff_hook_gpu():
     context.set_context(mode=context.PYNATIVE_MODE, device_target="GPU")
     pynative_hook_diff_hook()
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
@@ -466,7 +466,7 @@ def test_pynative_hook_mul_change_input_grad_gpu():
     context.set_context(mode=context.PYNATIVE_MODE, device_target="GPU")
     pynative_hook_mul_change_input_grad()
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
@@ -496,7 +496,7 @@ def test_pynative_hook_outermost_cell_change_grad_gpu():
     context.set_context(mode=context.PYNATIVE_MODE, device_target="GPU")
     pynative_hook_outermost_cell_change_grad()
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
@@ -511,7 +511,7 @@ def test_pynative_hook_outermost_cell_record_grad_gpu():
     context.set_context(mode=context.PYNATIVE_MODE, device_target="GPU")
     pynative_hook_outermost_cell_record_grad()
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
@@ -526,7 +526,7 @@ def test_pynative_hook_bprop_outermost_cell_record_grad_gpu():
     context.set_context(mode=context.PYNATIVE_MODE, device_target="GPU")
     pynative_hook_bprop_outermost_cell_record_grad()
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
diff --git a/tests/st/pynative/test_pynative_layernorm_input_and_argmaxwithvalue.py b/tests/st/pynative/test_pynative_layernorm_input_and_argmaxwithvalue.py
index 0c506d3b47b..c156ced4f4b 100644
--- a/tests/st/pynative/test_pynative_layernorm_input_and_argmaxwithvalue.py
+++ b/tests/st/pynative/test_pynative_layernorm_input_and_argmaxwithvalue.py
@@ -218,7 +218,7 @@ def argmaxwithvalue_input():
     fact.forward_cmp()
     fact.grad_cmp()
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
diff --git a/tests/st/pynative/test_pynative_lenet.py b/tests/st/pynative/test_pynative_lenet.py
index cc665d697e0..b2b40bbc788 100644
--- a/tests/st/pynative/test_pynative_lenet.py
+++ b/tests/st/pynative/test_pynative_lenet.py
@@ -128,7 +128,7 @@ class GradWrap(nn.Cell):
         return grad_by_list(self.network, weights)(x, label)
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_x86_cpu
@@ -166,7 +166,7 @@ def test_ascend_pynative_lenet():
     assert loss_output.asnumpy() > 0.003
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_x86_cpu
diff --git a/tests/st/pynative/test_pynative_mixed_precision_cells.py b/tests/st/pynative/test_pynative_mixed_precision_cells.py
index f80312c1ecc..8c42dd24b13 100644
--- a/tests/st/pynative/test_pynative_mixed_precision_cells.py
+++ b/tests/st/pynative/test_pynative_mixed_precision_cells.py
@@ -161,7 +161,7 @@ def test_mixed_precision_multiples_cell_gpu_01():
     context.set_context(device_target="GPU")
     mixed_precision_multiples_cell_01()
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
@@ -176,7 +176,7 @@ def test_mixed_precision_multiples_cell_gpu_02():
     context.set_context(device_target="GPU")
     mixed_precision_multiples_cell_02()
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
diff --git a/tests/st/pynative/test_pynative_temporary_cell.py b/tests/st/pynative/test_pynative_temporary_cell.py
index 817c23daa30..9f9a39e23b9 100644
--- a/tests/st/pynative/test_pynative_temporary_cell.py
+++ b/tests/st/pynative/test_pynative_temporary_cell.py
@@ -33,7 +33,7 @@ class GradofParams(nn.Cell):
         out = self.grad(self.net, self.params)(*x)
         return out
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_x86_gpu_training
diff --git a/tests/st/pynative/test_tensor_augassign.py b/tests/st/pynative/test_tensor_augassign.py
index 19887c61591..75b8837e243 100644
--- a/tests/st/pynative/test_tensor_augassign.py
+++ b/tests/st/pynative/test_tensor_augassign.py
@@ -25,7 +25,7 @@ def setup_module():
 
 
 # GPU: does not supported op "FloorMod"
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
@@ -73,7 +73,7 @@ def test_tesnsor_augassign_by_slice():
 
 
 # GPU: does not supported op "FloorMod"
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
@@ -134,7 +134,7 @@ def test_tesnsor_augassign_by_ellipsis():
 
 
 # GPU: does not supported op "FloorMod"
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
diff --git a/tests/st/pynative/test_tensor_getitem.py b/tests/st/pynative/test_tensor_getitem.py
index 32a8bda0825..38da21ea774 100644
--- a/tests/st/pynative/test_tensor_getitem.py
+++ b/tests/st/pynative/test_tensor_getitem.py
@@ -79,7 +79,7 @@ class NetWorkSliceEllipsis(Cell):
         return ret0, ret1, ret2, ret3
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_x86_gpu_training
@@ -111,7 +111,7 @@ class NetWorkReduceDimension(Cell):
         return ret1, ret2, ret3, ret4
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_x86_gpu_training
@@ -171,7 +171,7 @@ class TensorGetItemByThreeTensors(Cell):
         return ret0, ret1, ret2
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_x86_gpu_training
@@ -359,7 +359,7 @@ class TensorSetItemByMixedTensors_0(Cell):
         return ret
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_x86_gpu_training
@@ -399,7 +399,7 @@ class TensorSetItemByMixedTensors_1(Cell):
         return ret
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_x86_gpu_training
@@ -803,7 +803,7 @@ def test_setitem_by_tensor_with_tuple_of_tensor_error():
         net(index_0_ms, index_1_ms, index_2_ms, value_0_ms, value_1_ms)
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_x86_gpu_training
@@ -903,7 +903,7 @@ def test_tensor_assign_slice_value_1():
     assert np.all(z == out.asnumpy())
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_x86_gpu_training
@@ -1099,7 +1099,7 @@ class TensorAssignWithBoolTensorIndex2Error(Cell):
         return a
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_x86_gpu_training
diff --git a/tests/st/pynative/test_tensor_setitem.py b/tests/st/pynative/test_tensor_setitem.py
index 8c680b3eb3e..cc09b923a92 100644
--- a/tests/st/pynative/test_tensor_setitem.py
+++ b/tests/st/pynative/test_tensor_setitem.py
@@ -57,7 +57,7 @@ class NumpySetItemByList():
         return x
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_x86_gpu_training
@@ -73,7 +73,7 @@ def test_setitem_by_list():
     setup_testcase(x, cases)
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_x86_gpu_training
@@ -90,7 +90,7 @@ def test_setitem_with_sequence():
     setup_testcase(x, cases)
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_x86_gpu_training
@@ -107,7 +107,7 @@ def test_setitem_dtype():
     setup_testcase(x, cases)
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_x86_gpu_training
@@ -124,7 +124,7 @@ def test_setitem_by_tuple_with_int():
     setup_testcase(x, cases)
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_x86_gpu_training
@@ -142,7 +142,7 @@ def test_setitem_by_tuple_with_list():
     setup_testcase(x, cases)
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_x86_gpu_training
@@ -177,7 +177,7 @@ def test_setitem_with_broadcast():
     setup_testcase(x, cases)
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_x86_gpu_training
@@ -192,7 +192,7 @@ def test_setitem_mul_by_scalar():
     setup_testcase(x, cases)
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_x86_gpu_training
@@ -212,7 +212,7 @@ def test_setitem_by_slice():
     setup_testcase(x, cases)
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_x86_gpu_training