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recover test_bert_tdt_lossscale testcase and update sklearn

This commit is contained in:
anzhengqi 2023-02-22 09:38:56 +08:00
parent 9a81a0e969
commit c9fc8b0747
2 changed files with 2 additions and 2 deletions
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2
requirements.txt
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@ -6,7 +6,7 @@ scipy >= 1.5.4
decorator >= 4.4.0 decorator >= 4.4.0
matplotlib >= 3.1.3 # for ut test matplotlib >= 3.1.3 # for ut test
opencv-python >= 4.1.2.30 # 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 pandas >= 1.0.2 # for ut test
packaging >= 20.0 packaging >= 20.0
pycocotools >= 2.0.2 # for st test pycocotools >= 2.0.2 # for st test

2
tests/st/networks/models/bert/bert_performance/test_bert_tdt_lossscale.py
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@ -174,7 +174,7 @@ class TimeMonitor(Callback):
self.per_step_mseconds_list.append(epoch_mseconds / self.data_size) 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_arm_ascend_training
@pytest.mark.platform_x86_ascend_training @pytest.mark.platform_x86_ascend_training
@pytest.mark.env_onecard @pytest.mark.env_onecard