deepspeed
https://github.com/microsoft/deepspeed
Python
DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.
Triage Issues!
When you volunteer to triage issues, you'll receive an email each day with a link to an open issue that needs help in this project. You'll also receive instructions on how to triage issues.
Triage Docs!
Receive a documented method or class from your favorite GitHub repos in your inbox every day. If you're really pro, receive undocumented methods or classes and supercharge your commit history.
Python not yet supported11 Subscribers
Add a CodeTriage badge to deepspeed
Help out
- Issues
- Two PipelineModule within a Model will block the deepspeed initialization
- Add more weight only quantization algorithms into DeepSpeed inference.
- [BUG]deepspeed-zero-2-cpu-offloading-killing-process-9-error
- [REQUEST] Can I specify certain parameters' grads and optimizer states not being partitioned in stage 3?
- [BUG] 8 bit quantized inference not as fast as hoped for?
- World size must be larger than number of experts in MoE inference ?
- How can I extract and log grad norm for individual layers
- [BUG] Multi-GPU performance worse than single GPU when using optimizers with moving averages (e.g.: Adam)
- [REQUEST] Does sequence parallel need all-reduce for gradients before optimizer.step()?
- Add BigCode models support
- Docs
- Python not yet supported