diff --git a/python/paddle/fluid/tests/unittests/ir/test_convert_to_mixed_precision.py b/python/paddle/fluid/tests/unittests/ir/test_convert_to_mixed_precision.py
index 912055e8072a4e3d162c6875af97f7fb067edb1e..49b20a8b4ffb0633e5be739f39fe920f24068b71 100644
--- a/python/paddle/fluid/tests/unittests/ir/test_convert_to_mixed_precision.py
+++ b/python/paddle/fluid/tests/unittests/ir/test_convert_to_mixed_precision.py
@@ -12,6 +12,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+import os
+import tempfile
 import unittest
 
 import paddle
@@ -30,70 +32,57 @@ from paddle.vision.models import resnet50
     'should compile with cuda.',
 )
 class TestConvertToMixedPrecision(unittest.TestCase):
-    def test_convert_to_fp16(self):
+    def setUp(self):
+        self.temp_dir = tempfile.TemporaryDirectory()
         model = resnet50(True)
         net = to_static(
             model, input_spec=[InputSpec(shape=[None, 3, 224, 224], name='x')]
         )
-        paddle.jit.save(net, 'resnet50/inference')
-        convert_to_mixed_precision(
-            'resnet50/inference.pdmodel',
-            'resnet50/inference.pdiparams',
-            'mixed/inference.pdmodel',
-            'mixed/inference.pdiparams',
-            PrecisionType.Half,
-            PlaceType.GPU,
-            True,
+        paddle.jit.save(
+            net, os.path.join(self.temp_dir.name, 'resnet50/inference')
         )
 
-    def test_convert_to_fp16_with_fp16_input(self):
-        model = resnet50(True)
-        net = to_static(
-            model, input_spec=[InputSpec(shape=[None, 3, 224, 224], name='x')]
-        )
-        paddle.jit.save(net, 'resnet50/inference')
-        convert_to_mixed_precision(
-            'resnet50/inference.pdmodel',
-            'resnet50/inference.pdiparams',
-            'mixed1/inference.pdmodel',
-            'mixed1/inference.pdiparams',
-            PrecisionType.Half,
-            PlaceType.GPU,
-            False,
-        )
+    def tearDown(self):
+        self.temp_dir.cleanup()
 
-    def test_convert_to_fp16_with_blacklist(self):
-        model = resnet50(True)
-        net = to_static(
-            model, input_spec=[InputSpec(shape=[None, 3, 224, 224], name='x')]
-        )
-        paddle.jit.save(net, 'resnet50/inference')
-        convert_to_mixed_precision(
-            'resnet50/inference.pdmodel',
-            'resnet50/inference.pdiparams',
-            'mixed2/inference.pdmodel',
-            'mixed2/inference.pdiparams',
+    def test_convert_to_mixed_precision(self):
+        mixed_precision_options = [
+            PrecisionType.Half,
+            PrecisionType.Half,
             PrecisionType.Half,
-            PlaceType.GPU,
-            False,
-            set('conv2d'),
-        )
-
-    def test_convert_to_bf16(self):
-        model = resnet50(True)
-        net = to_static(
-            model, input_spec=[InputSpec(shape=[None, 3, 224, 224], name='x')]
-        )
-        paddle.jit.save(net, 'resnet50/inference')
-        convert_to_mixed_precision(
-            'resnet50/inference.pdmodel',
-            'resnet50/inference.pdiparams',
-            'mixed3/inference.pdmodel',
-            'mixed3/inference.pdiparams',
             PrecisionType.Bfloat16,
-            PlaceType.GPU,
-            True,
+        ]
+        keep_io_types_options = [True, False, False, True]
+        black_list_options = [set(), set(), set(['conv2d']), set()]
+
+        test_configs = zip(
+            mixed_precision_options, keep_io_types_options, black_list_options
         )
+        for mixed_precision, keep_io_types, black_list in test_configs:
+            config = f'mixed_precision={mixed_precision}-keep_io_types={keep_io_types}-black_list={black_list}'
+            with self.subTest(
+                mixed_precision=mixed_precision,
+                keep_io_types=keep_io_types,
+                black_list=black_list,
+            ):
+                convert_to_mixed_precision(
+                    os.path.join(
+                        self.temp_dir.name, 'resnet50/inference.pdmodel'
+                    ),
+                    os.path.join(
+                        self.temp_dir.name, 'resnet50/inference.pdiparams'
+                    ),
+                    os.path.join(
+                        self.temp_dir.name, f'{config}/inference.pdmodel'
+                    ),
+                    os.path.join(
+                        self.temp_dir.name, f'{config}/inference.pdiparams'
+                    ),
+                    backend=PlaceType.GPU,
+                    mixed_precision=mixed_precision,
+                    keep_io_types=keep_io_types,
+                    black_list=black_list,
+                )
 
 
 if __name__ == '__main__':