diff --git a/tests/st/dynamic_shape/test_getnext_dynamic_pipeline.py b/tests/st/dynamic_shape/test_getnext_dynamic_pipeline.py
index e986ac20a1..4d8ddbd767 100644
--- a/tests/st/dynamic_shape/test_getnext_dynamic_pipeline.py
+++ b/tests/st/dynamic_shape/test_getnext_dynamic_pipeline.py
@@ -18,7 +18,6 @@ from mindspore import nn, context
 from mindspore import ops as P
 from mindspore.train import DatasetHelper, connect_network_with_dataset
 import mindspore.dataset as ds
-context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
 
 
 def _exec_preprocess(network, is_train, dataset, dataset_sink_mode, sink_size=1, epoch_num=1, dataset_helper=None):
@@ -77,7 +76,13 @@ class Net(nn.Cell):
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
-def test_getnext_dynamic_pipeline():
+def test_getnext_dynamic_pipeline_ascend():
+    """
+    Feature: sink one step of dynamic data sink.
+    Description: datasets with dynamic shape as input.
+    Expectation: success without assert exception.
+    """
+    context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
     network = Net()
     dataset = ds.GeneratorDataset(
         dataset_generator, ["data1", "data2", "data3", "data4", "data5"])
@@ -86,10 +91,6 @@ def test_getnext_dynamic_pipeline():
     _eval_dataset_sink_process(network, dataset)
 
 
-@pytest.mark.level0
-@pytest.mark.platform_arm_ascend_training
-@pytest.mark.platform_x86_ascend_training
-@pytest.mark.env_onecard
 def test_getnext_sink_size_dynamic_pipeline():
     """
     Feature: arbitrary sink size of dynamic data sink.
@@ -110,3 +111,29 @@ def test_getnext_sink_size_dynamic_pipeline():
             last_inputs = data_item.items()
         for output, (_, last_input) in zip(outputs, last_inputs):
             assert output.shape == last_input.shape
+
+@pytest.mark.level0
+@pytest.mark.platform_arm_ascend_training
+@pytest.mark.platform_x86_ascend_training
+@pytest.mark.env_onecard
+def test_getnext_sink_size_dynamic_pipeline_ascend():
+    """
+    Feature: arbitrary sink size of dynamic data sink.
+    Description: datasets with dynamic shape as input.
+    Expectation: success without assert exception.
+    """
+    context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
+    test_getnext_sink_size_dynamic_pipeline()
+
+@pytest.mark.level0
+@pytest.mark.platform_x86_gpu_training
+@pytest.mark.env_onecard
+def test_getnext_sink_size_dynamic_pipeline_gpu():
+    """
+    Feature: arbitrary sink size of dynamic data sink.
+    Description: datasets with dynamic shape as input.
+    Expectation: success without assert exception.
+    """
+    context.set_context(mode=context.GRAPH_MODE, device_target="GPU")
+    test_getnext_sink_size_dynamic_pipeline()
+    
\ No newline at end of file