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!2866 modify the loss scale annotation 

Merge pull request !2866 from lilei/modify_loss_scale_annotation
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mindspore-ci-bot 2020-07-06 20:00:47 +08:00 committed by Gitee
parent 875b597d2c 8abca21d25
commit f245b22133
1 changed files with 1 additions and 1 deletions
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mindspore/nn/optim/proximal_ada_grad.py
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@ -71,7 +71,7 @@ class ProximalAdagrad(Optimizer):
l1 (float): l1 regularization strength, must be greater than or equal to zero. Default: 0.0.
l2 (float): l2 regularization strength, must be greater than or equal to zero. Default: 0.0.
use_locking (bool): If True use locks for update operation. Default: False.
loss_scale (float): Value for the loss scale. It should be equal to or greater than 1.0. Default: 1.0.
loss_scale (float): Value for the loss scale. It should be greater than 0.0. Default: 1.0.
wegith_decay (float): Weight decay value to multiply weight, must be zero or positive value. Default: 0.0.
Inputs: