Skip to content
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

pin requirements for broken notebooks #376

Merged
merged 4 commits into from
Jan 9, 2025
Merged

pin requirements for broken notebooks #376

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
4 commits
Select commit Hold shift + click to select a range
4a6c800
pin requirements for broken notebooks
Borda Jan 9, 2025
0c1e087
more...
Borda Jan 9, 2025
17a8482
more...
Borda Jan 9, 2025
77fe963
more...
Borda Jan 9, 2025
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
3 changes: 3 additions & 0 deletions course_UvA-DL/06-graph-neural-networks/requirements.txt
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -5,3 +5,6 @@ torch-sparse ==0.6.*
torch-cluster ==1.6.*
torch-spline-conv ==1.2.*
torch-geometric ==2.1.*

# todo: some compatibility issues
numpy <2.0
3 changes: 3 additions & 0 deletions lightning_examples/reinforce-learning-DQN/requirements.txt
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -5,3 +5,6 @@ seaborn
# todo: pin version intill reinstall with PT-eco alignment
torch ==2.1.*
torchvision ==0.16.*

# todo: some compatibility issues
numpy <2.0
3 changes: 2 additions & 1 deletion lightning_examples/text-transformers/requirements.txt
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,8 @@ scikit-learn
torchmetrics >=1.0, <1.2
torchtext
transformers
datasets
datasets <=2.21
# todo: pin version intill reinstall with PT-eco alignment
torch ==2.1.*
torchvision ==0.16.*
numpy <2.0
Loading