delete extra whitespace in comments of lazyadam

mindspore/nn/optim/lazyadam.py

@@ -185,7 +185,7 @@ class LazyAdam(Optimizer):
         weight_decay (Union[float, int]): Weight decay (L2 penalty). Default: 0.0.
         loss_scale (float): A floating point value for the loss scale. Should be equal to or greater than 1. In general,
             use the default value. Only when `FixedLossScaleManager` is used for training and the `drop_overflow_update`
-             in `FixedLossScaleManager` is set to False, then this value needs to be the same as the `loss_scale` in
+            in `FixedLossScaleManager` is set to False, then this value needs to be the same as the `loss_scale` in
             `FixedLossScaleManager`. Refer to class :class:`mindspore.FixedLossScaleManager` for more details.
             Default: 1.0.