Open stas00 opened 3 years ago
@stas00 If I want to work on this issue, should I pick one of those issues to keep track of its performance? Can you also tell me how I can keep track of the performances? Can you give me some guidance?
Hi @JuheonChu, this is not an Issue to work on. As the title says this is a collection of pointers to track other Issues. It's dated but many issues that it links to are still valid. So you can click on the issue that resonates with you and discuss the details there - not here.
I hope this addresses your question.
Let's use this Issue to track performance issues and enhancement requests, so it's easier to prioritize the work.
This is for pytorch
transformers
Also I will label it as a
Good Difficult Issue
in case someone is ready for a challenging but rewarding experience of figuring things out. If you do want to take the challenge comment in the corresponding Issue/PR that resonates with you so others would know you're working on it.If I missed any other relevant open performance-related Issues/PRs that need attention please comment below.
Regression:
Odd slowness:
Fused kernels possibilities:
Faster / leaner startup / module loading
Faster optimizers
MemoryEfficientFP16Optimizer
from fairseqtorch.optim._multi_tensor
faster optimizers - having some bottleneck in the test script - need to profileScalability
Deepspeed-specific features
from_pretrained
loading fasterTests