Skip to content

forgot to add attribution to new PyTorch page #213

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
s-sajid-ali merged 1 commit into from
Nov 4, 2025
Merged

forgot to add attribution to new PyTorch page #213

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
4 changes: 4 additions & 0 deletions docs/hpc/08_ml_ai_hpc/02_pytorch_intro.md
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,5 +1,9 @@
# Single-GPU Training with PyTorch

:::info
This was adapted from [Princeton University Multi-GPU Training with PyTorch](https://github.com/PrincetonUniversity/multi_gpu_training)
:::

It is important to optimize your script for the single-GPU case before moving to multi-GPU training. This is because as you request more resources, your queue time increases. We also want to avoid wasting resources by running code that is not optimized.

Here we train a CNN on the MNIST dataset using a single GPU as an example. We profile the code and make performance improvements.
Expand Down
Loading