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
- Add torch_xla TPU support for ZeRO-1/2
- fix: add setup_context for torch.func compatibility
- [BUG] LinearFunctionForZeroStage3 crashes with torch.func transforms (missing setup_context)
- [REQUEST] Put NVTX instrumentation in its own domain (and potentially categories)
- Trouble running tests: Failed to find precompiled modules
- Deepspeed zero 3 seems to save empty adapter_model.safetensors
- doc: Remove suggestion to build extensions in parallel
- [Bugfix] Validate fp16.loss_scale is finite in DeepSpeedFP16Config
- Fix Stage 0 + Ulysses crash: make bwc_tensor_model_parallel_rank() resilient to MP API absence
- [RFC] SDMA-Based Collective Communication Backend for ZeRO-3 on AMD GPUs
- Docs
- Python not yet supported