fix bug of auto control depend for bert pre training

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mindspore/model_zoo/Bert_NEZHA/bert_for_pre_training.py

@@ -403,9 +403,6 @@ class BertTrainOneStepWithLossScaleCell(nn.Cell):
                   sens=None):
         """Defines the computation performed."""
         weights = self.weights
-        # alloc status
-        init = self.alloc_status()
-        self.clear_before_grad(init)
         loss = self.network(input_ids,
                             input_mask,
                             token_type_id,
@@ -417,6 +414,9 @@ class BertTrainOneStepWithLossScaleCell(nn.Cell):
             scaling_sens = self.loss_scale
         else:
             scaling_sens = sens
+        # alloc status and clear should be right before gradoperation
+        init = self.alloc_status()
+        self.clear_before_grad(init)
         grads = self.grad(self.network, weights)(input_ids,
                                                  input_mask,
                                                  token_type_id,