Replies: 2 comments 1 reply
-
Hi,
Which solution would you prefer? Or both? For both solutions, we can let the framework automatically handle the loop, logging data, auto-save/load your model, etc. we can also support adding transformation steps like in pytorch lightning, if your model cannot directly handle your environment output/input. If you just want a way to support pytorch lightning, then we are afraid that it is not feasible, since pytorch lightning is trying to be device agnostic, this is not compatible with some of our distributed algorithms, and would require complete rewriting of the whole framework. |
Beta Was this translation helpful? Give feedback.
-
Great Thanks!
…On Sat, 13 Mar 2021, 22:46 Iffi, ***@***.***> wrote:
Recently I have reconsidered about this and find that our framework is
applicable to pytorch lightning, we will also introduce nni hyper parameter
tuning in the next update.
—
You are receiving this because you authored the thread.
Reply to this email directly, view it on GitHub
<#7 (reply in thread)>,
or unsubscribe
<https://github.com/notifications/unsubscribe-auth/ACYQPKR3I24RGGRF4THUEJLTDPMLRANCNFSM4X7ARKJA>
.
|
Beta Was this translation helpful? Give feedback.
-
Hello,
I would like to know if there is a way to avoid the loop over episode and store info in tensorboard like in PyTorch lightning ?
Thanks
Beta Was this translation helpful? Give feedback.
All reactions