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
- apply reduce_scatter_coalesced op
- [BUG] unable to use a hostfile with a name that is not "hostfile"
- [BUG] inconsistent optimizer naming and defaults
- [BUG] Deepspeed Crashes when using MoE, Stage 2 Offload with DeepSpeedCPUAdam
- [BUG] ValueError: `.to` is not supported for `4-bit` or `8-bit` models. Please use the model as it is, since the model has already been set to the correct devices and casted to the correct `dtype`.
- [BUG] Memory leak during autograd backwards
- [BUG] Errors when running with Microsoft Phi models
- [BUG] reduce scatter cannot be overlap when using zero
- [BUG] Differences between training result using zero-2 and zero-3
- [REQUEST] parameter sharding, gradient sharding, and optimizer state sharding with various sharding factors like Zero++
- Docs
- Python not yet supported