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This overload of addcmul_ is deprecated: addcmul_(Number value, Tensor tensor1, Tensor tensor2)

See original GitHub issue

I get the following warning when using ranger with pytorch 1.6.0

/path/Ranger-Deep-Learning-Optimizer/ranger/ranger.py:138: UserWarning: This overload of addcmul_ is deprecated:
        addcmul_(Number value, Tensor tensor1, Tensor tensor2)
Consider using one of the following signatures instead:
        addcmul_(Tensor tensor1, Tensor tensor2, *, Number value) (Triggered internally at  /pytorch/torch/csrc/utils/python_arg_parser.cpp:766.)
  exp_avg_sq.mul_(beta2).addcmul_(1 - beta2, grad, grad)

Issue Analytics

State:
Created 3 years ago
Reactions:1
Comments:5 (1 by maintainers)

Top GitHub Comments

3reactions

hiyygcommented, Sep 21, 2020

@lessw2020 I noticed in ranger2020.py, gc_loc is set to True by default. However, the original repo seems to suggest using gc_loc=False for adaptive learning rate methods. So why do you set it to True by default?

0reactions

Harly-1506commented, Aug 9, 2022

fix addcmul and add_

Try this: exp_avg_sq.mul_(beta2).addcmul(grad, grad, value = 1 - beta2) exp_avg.mul_(beta1).add_(grad, alpha = 1 - beta1 )

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