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] Mismatch between dtype settings in model and ds_config results in NaN loss
- [BUG] When initializing model_engine, if an mpu is specified, it can lead to an excessively large checkpoint size, and the checkpoint may not be convertible through the `zero_to_fp32.py` script.
- [REQUEST] Launcher mode with SSH bypass
- [BUG] Uneven work distribution caused by get_shard_size changes
- inference: remove unused _validate_args function
- [BUG] Jamba (Mamba+MoE) + ZeRO3 + LoRA training hangs
- [BUG] 3 GPUs is not as good as expectation compare with 2 GPUs; NV vs AMD performace; flash attention not support for AMD GPUs
- [BUG] Fails to finetune certain subset of parameters via torch.optim.AdamW code (not .json setting)
- [REQUEST] How to finetune ONLY certain subset of the network parameters
- How to finetune certain portion of the whole parameter
- Docs
- Python not yet supported