Skip to content

fix link on blog post #1420

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Aug 1, 2023
Merged

fix link on blog post #1420

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion _posts/2023-07-31-performant-distributed-checkpointing.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -31,7 +31,7 @@ A major improvement from 1.13 to 2.0 includes adding sharded_state_dict support

Another major change is that we decouple the storage layer from the checkpoint planning layer and separate implementation from the interface for both layers. With this change, users can now specify how their state_dict should be chunked or transformed during the checkpoint planning phase. Additionally, the customizable storage layer can easily accommodate different backends.

More information on the Distributed Checkpoint package can be found [here](https://fb.workplace.com/notes/1247127459498709).
More information on the Distributed Checkpoint package can be found [here](https://pytorch.org/docs/stable/distributed.checkpoint.html).

## Performant Distributed checkpointing in Production with IBM

Expand Down