recover test_bert_tdt_lossscale testcase and update sklearn

requirements.txt

@@ -6,7 +6,7 @@ scipy >= 1.5.4
 decorator >= 4.4.0
 matplotlib >= 3.1.3         # for ut test
 opencv-python >= 4.1.2.30   # for ut test
-sklearn >= 0.0              # for st test
+scikit-learn >= 0.14        # for st test
 pandas >= 1.0.2             # for ut test
 packaging >= 20.0
 pycocotools >= 2.0.2        # for st test

tests/st/networks/models/bert/bert_performance/test_bert_tdt_lossscale.py

@@ -174,7 +174,7 @@ class TimeMonitor(Callback):
         self.per_step_mseconds_list.append(epoch_mseconds / self.data_size)
 
 
-@pytest.mark.level1
+@pytest.mark.level0
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard