takedown ascend testcases for better gate performance

tests/st/auto_monad/test_auto_monad.py

@@ -1129,7 +1129,7 @@ def test_ctrl_if_by_while_and_while_in_first_if():
     net(input_me_a)
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard

tests/st/control/inner/test_100_if_after_if.py

@@ -190,7 +190,7 @@ def test_if_after_if_03():
     control_flow_if_after_if(IfAfterIfNet3, x, y, expect1, expect2)
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard

tests/st/control/inner/test_121_if_after_while_in_while.py

@@ -127,7 +127,7 @@ class BackwardNetNoAssign(nn.Cell):
 
 
 # This test case has a problem of evaluator endless loop.
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_x86_gpu_training
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training

tests/st/control/inner/test_122_if_after_while_in_for.py

@@ -121,7 +121,7 @@ class BackwardNetNoAssign(nn.Cell):
         return grads
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_x86_gpu_training
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training

tests/st/control/inner/test_210_while_after_if_in_if.py

@@ -74,7 +74,7 @@ def test_forward():
     assert graph_mode_out == (Tensor(np.array(30), mstype.int32), Tensor(np.array(10), mstype.int32))
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_x86_gpu_training
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training

tests/st/control/inner/test_212_while_after_if_in_for.py

@@ -74,7 +74,7 @@ def test_forward():
     assert graph_mode_out == (Tensor(np.array(60), mstype.int32), Tensor(np.array(10), mstype.int32))
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_x86_gpu_training
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training

tests/st/control/inner/test_221_while_while_while.py

@@ -73,7 +73,7 @@ def test_forward():
     assert graph_out == Tensor(np.array(36), mstype.int32)
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_x86_gpu_training
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training

tests/st/control/inner/test_230_while_after_for_in_if.py

@@ -72,7 +72,7 @@ def test_forward():
     assert graph_mode_out == (Tensor(np.array(9), mstype.int32), Tensor(np.array(7), mstype.int32))
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_x86_gpu_training
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training

tests/st/control/test_cont_grad.py

@@ -474,7 +474,7 @@ def test_for_while_with_param_grad_with_const_branch():
     assert np.allclose(graph_output[0].asnumpy(), expect, 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
@@ -695,7 +695,7 @@ def test_while_with_param_basic_grad_two():
     assert np.allclose(graph_output[1].asnumpy(), expect2, 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
@@ -745,7 +745,7 @@ def test_while_with_param_basic_grad_three():
     assert np.allclose(graph_output[2].asnumpy(), expect3, 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

tests/st/control/test_if_by_if.py

@@ -11,7 +11,7 @@ import mindspore.ops.functional as F
 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

tests/st/control/test_while_mindir.py

@@ -54,7 +54,7 @@ def test_single_while():
     assert origin_out == outputs_after_load
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_x86_gpu_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_arm_ascend_training
@@ -131,7 +131,7 @@ def test_single_while_inline_load():
     load(mindir_name)
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_x86_gpu_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_arm_ascend_training

tests/st/dump/test_data_dump.py

@@ -132,7 +132,7 @@ def test_e2e_dump():
     run_e2e_dump()
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard

tests/st/networks/test_ascend_lenet_enable_rdr.py

@@ -23,7 +23,7 @@ def test_train(device_type):
         test_lenet()
 
 @security_off_wrap
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.env_onecard
 def test_train_with_Ascend():

tests/st/nontask_sink/test_lenet.py

@@ -167,7 +167,7 @@ def test_ascend_lenet1():
     assert loss_output.asnumpy() < 0.004
     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.env_onecard

tests/st/numpy_native/test_math_ops.py

@@ -469,7 +469,7 @@ def onp_average(x):
     return a, b, c, d, e, f, g, h, i
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_x86_gpu_training
@@ -1283,7 +1283,7 @@ def onp_kron(x, y):
     return onp.kron(x, y)
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_x86_gpu_training
@@ -1437,7 +1437,7 @@ def onp_diff(input_array):
     return a, b, c, d, e, f, g
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_x86_gpu_training
@@ -1743,7 +1743,7 @@ def test_convolve():
         match_all_arrays(mnp_res, onp_res)
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_x86_gpu_training
@@ -2003,7 +2003,7 @@ def test_mean():
     run_multi_test(mnp_mean, onp_mean, test_case.scalars, error=3)
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_x86_gpu_training

tests/st/ops/graph_kernel/test_relu_grad.py

@@ -57,7 +57,7 @@ def test_relu_grad_gpu():
     test_relu_grad((12, 1), (12, 1), np.float16)
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard

tests/st/pynative/test_function_staging.py

@@ -24,7 +24,7 @@ from mindspore.common.api import ms_function
 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

tests/st/pynative/test_tensor_getitem.py

@@ -1185,7 +1185,7 @@ def test_tensor_assign_bool_index_exception():
         net4(Ta, u_scalar)
 
 
-@pytest.mark.level0
+@pytest.mark.level1
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_x86_gpu_training