!26937 fix pytest mark decorator for platform_x86_cpu

Merge pull request !26937 from liangyongxiong/tests

tests/st/control/test_switch_layer.py

@@ -72,7 +72,6 @@ def test_switch_layer():
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_x86_gpu_training
-@pytest.mark.platform_x86_cpu_training
 @pytest.mark.env_onecard
 def test_cell_in_list():
     """

tests/st/data_transfer/test_tdt_data_transfer_enable_rdr.py

@@ -46,9 +46,3 @@ def test_train_with_Ascend():
 @pytest.mark.env_onecard
 def test_train_with_GPU():
     test_train("GPU")
-
-@pytest.mark.level0
-@pytest.mark.platform_x86_cpu_training
-@pytest.mark.env_onecard
-def test_train_with_CPU():
-    test_train("CPU")

tests/st/high_grad/test_highgrad_param.py

@@ -63,7 +63,7 @@ class GradSec(nn.Cell):
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_x86_gpu_training
-@pytest.mark.platform_x86_cpu_training
+@pytest.mark.platform_x86_cpu
 @pytest.mark.env_onecard
 def test_sit_high_order_grad_params():
     context.set_context(mode=context.GRAPH_MODE)

tests/st/high_grad/test_highgrad_train.py

@@ -93,7 +93,7 @@ class WithLossCellLocal(nn.Cell):
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_x86_gpu_training
-@pytest.mark.platform_x86_cpu_training
+@pytest.mark.platform_x86_cpu
 @pytest.mark.env_onecard
 def test_high_grad_train():
     x_pure = np.random.randint(-10, 100, 32)

tests/st/networks/test_cpu_lenet_enable_rdr.py

@@ -22,7 +22,7 @@ def test_train(device_type):
         test_lenet()
 
 @pytest.mark.level0
-@pytest.mark.platform_x86_cpu_training
+@pytest.mark.platform_x86_cpu
 @pytest.mark.env_onecard
 def test_train_with_CPU():
     test_train("CPU")

tests/st/ops/ascend/test_aicpu_ops/test_tensor_copy_slices.py

@@ -120,14 +120,14 @@ def test_tensor_copy_slices_gpu_pynative():
     test_tensor_copy_slices()
 
 @pytest.mark.level0
-@pytest.mark.platform_x86_cpu_training
+@pytest.mark.platform_x86_cpu
 @pytest.mark.env_onecard
 def test_tensor_copy_slices_cpu_graph():
     context.set_context(mode=context.GRAPH_MODE, device_target="CPU")
     test_tensor_copy_slices()
 
 @pytest.mark.level0
-@pytest.mark.platform_x86_cpu_training
+@pytest.mark.platform_x86_cpu
 @pytest.mark.env_onecard
 def test_tensor_copy_slices_cpu_pynative():
     context.set_context(mode=context.PYNATIVE_MODE, device_target="CPU")