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
- [BUG] DeepSpeed accuracy issue for torch.compile if activation checkpoint function not compiler disabled
- Support pure meta model lm_head tp
- [BUG] Enabling drop_tokens in MoE layer causes inference to hang
- [BUG] Getting "SymIntArrayRef expected to contain only concrete integers" error when > 1 GPU
- [Questions] Why Ulysess need all2all for QKV, but RingAttention just need KV under context parallel ?
- multiple runs on same machine, with ctrl+c, all runs are killed
- Question about using Autotuner with ZeRO and tensor parallelism
- deepspeed setup for requiring grads on the input (explainability) without huge increase in memory over all gpus
- Use DS4Sci_EvoformerAttention and torch.util.checkpoint.checkpoint at the same time during training
- [BUG] deepspeed inference for llama3.1 70b for 2 node, each node with 2 gpu
- Docs
- Python not yet supported