fix cmetrics problem

mindarmour/privacy/diff_privacy/train/model.py

@@ -621,10 +621,8 @@ class _TrainOneStepCell(Cell):
             self._noise_mech_param_updater = _MechanismsParamsUpdater(
                 decay_policy=self._noise_mech._decay_policy,
                 decay_rate=self._noise_mech._noise_decay_rate,
-                cur_noise_multiplier=
-                self._noise_mech._noise_multiplier,
-                init_noise_multiplier=
-                self._noise_mech._initial_noise_multiplier)
+                cur_noise_multiplier=self._noise_mech._noise_multiplier,
+                init_noise_multiplier=self._noise_mech._initial_noise_multiplier)
 
     def construct(self, data, label):
         """

mindarmour/privacy/sup_privacy/mask_monitor/masker.py

@@ -23,6 +23,7 @@ from mindarmour.privacy.sup_privacy.sup_ctrl.conctrl import SuppressCtrl
 LOGGER = LogUtil.get_instance()
 TAG = 'suppress masker'
 
+
 class SuppressMasker(Callback):
     """
     For details, please check `Tutorial <https://mindspore.cn/mindarmour/docs/zh-CN/master/protect_user_privacy_with_suppress_privacy.html#%E5%BC%95%E5%85%A5%E6%8A%91%E5%88%B6%E9%9A%90%E7%A7%81%E8%AE%AD%E7%BB%83>`_

mindarmour/privacy/sup_privacy/train/model.py

@@ -184,6 +184,7 @@ class _TupleAdd(nn.Cell):
         out = self.hyper_map(self.add, input1, input2)
         return out
 
+
 class _TupleMul(nn.Cell):
     """
     Mul two tuple of data.
@@ -198,7 +199,7 @@ class _TupleMul(nn.Cell):
         out = self.hyper_map(self.mul, input1, input2)
         return out
 
-# come from nn.cell_wrapper.TrainOneStepCell
+
 class TrainOneStepCell(Cell):
     r"""
     Network training package class.