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] Significant difference between using DeepSpeed and not using DeepSpeed
- [BUG] setting PYTORCH_CUDA_ALLOC_CONF in .deepspeed_env raise return code = -11
- [BUG] zero3 hang during inference, need to detach part of computational graph, .detach()/torch.no_grad do not work.
- configuration setting problems for parameters partitioning in training
- [REQUEST]Can we reload the model parameters after deepspeed.initialize?
- Unpin tests that previously used a pinned version of transformers
- [BUG] How to manipulate the gradient during training
- [BUG] Logits are always ZERO(0) at first pass when using ZERO++
- sequence parallel for uneven heads
- [BUG] Getting this error: NotImplementedError: Cannot copy out of meta tensor; no data!
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- Python not yet supported