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
- (Draft) [Roadmap] DeepSpeed Roadmap Q2 2026
- Fix zero/division safety gaps in utility and inference paths
- Reject non-finite fp16 loss_scale across config and ZeRO paths
- Fix ZeRO legacy grad-hook crash when next_functions is missing
- Fix global .cuh ignore and enforce tracked CUDA headers
- [Bug] Missing input validation for fp16 loss_scale accepts float('inf')
- Fix count_used_parameters_in_backward crash on PyTorch < 2.3 (#7756)
- [BUG] Fix: Fix gradient norm calculation and dynamic shape blocking in PP+ZeRO1 collective communication
- [BUG] DeepSpeed ZeRO-3 deadlock in engine.step() at step 0 under 2-GPU execution (RTX 3090, torch 2.2.1, DS 0.14.2)
- [BUG] Multiple missing zero-guards cause ZeroDivisionError / non-finite values across DeepSpeed (4 locations)
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