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
- [REQUEST] multiple dynamic loss scalar on different loss values
- [BUG] String sort based on ``rank_repr`` may lead to problems?
- Question: How best to allocate pipeline stages just for pre_process and post_process steps?
- Question: recommended method for inference from a pipelined model checkpoint?
- [BUG] zero stage > 0 does not support the case when different iterations see different learnable parameters
- [BUG] tensor values change across different stages of pipeline parallel
- CUDA_VISIBLE_DEVICES isn't correctly inherited on a SLURM system
- [BUG] Host Memory Efficiency
- Warmup Schedueler is Not Linear warmup, Increase in Log curve, inscrease Too Fast for big model
- DeepSpeed Inference with FP16 (torch.half) -- RuntimeError: "softmax_lastdim_kernel_impl" not implemented for 'Half'
- Docs
- Python not yet supported