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
- [Question] Duplicate data parallel group names with mixture of experts (MoE) implementation
- [REQUEST] Confusion about communication time reduction when sequence length increases
- [BUG] Unable to run my model with Tensor Parallelism
- LAMB requires dynamic loss scaling
- 【Question】How deepspeed allocates data according to different GPUs. For example, I have two types of GPUs: 16G and 32G
- [BUG] Error `raise RuntimeError(f"still have inflight params "` when doing IDEFICS inference
- Deepspeed inference and infinity offload with bitsandbytes 4bit loaded model
- [REQUEST] Add an option to decide whether to store the checkpoint and rng_state.
- dtype: torch floating point value
- [BUG] Problem in training step with ZERO optimization. in has_overflow_partitioned_grads_serial for j, grad in enumerate(self.averaged_gradients[i]): KeyError: 0
- Docs
- Python not yet supported