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]how to use zero_to_fp32 when my model list is like below
- [REQUEST]Support for modules_to_save with LoRA under DeepSpeed ZeRO-3
- fix: When there are tensors registered with register buffer in the weight file, the weights are only loaded on device 0 when loading weights across multiple devices.
- Deepspeed dual-machine single-card streaming inference has an error
- Please publish DeeepSpeed Python 3.13 Windows wheels already
- [BUG] Dtype mismatch (bf16 vs fp32) when resuming Muon optimizer from checkpoint
- Fix Muon optimizer checkpoint resume with bf16 mode
- [BUG] count_used_parameters_in_backward does not work with PyTorch 2.1.2
- [BUG][Deepcompile] OOM during DeepCompile pre-pass eager node-by-node profiling (FX Interpreter) due to decomposed cross_entropy materializing huge intermediates
- [REQUEST] Python types?
- Docs
- Python not yet supported