deepspeed
https://github.com/microsoft/deepspeed
Python
DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.
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- Issues
- DeepSpeed 2 GPU slower than 1 GPU. PyTorch DDP - much faster. Why?
- Resolve hard dependency on MOE for contiguous_gradients on stage 1
- [BUG] MoE using too much RAM
- Extend DeepSpeed inference initialization API with a 'quantize_groups' argument
- [BUG]Single node single GPU work well but single node multi gpu hangs on
- [BUG] Inference a large model using NVMe offload. AssertionError: More elements 524709888 than buffer size 100,000,000
- AutoModelFromCausalLLM of Bloom not releasing GPU memory after each inference batch [BUG]
- [BUG] OPT, GPT-neo accuracy dropped when using kernel injection
- [REQUEST] how many partitios will zero stage 3 divide mode
- [BUG]The inference error is large
- Docs
- Python not yet supported