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] BFloat16 training accuracy issue with zero 0/1 (the more rank, the less accuracy) in CIFAR10
- [BUG] Handle dangling partitioned parameters
- [BUG]Zero++ quantizer unsupport BFloat16
- [BUG]RuntimeError: output tensor must have the same type as input tensor
- Fix the call to get_param_coordinator() in _end_of_forward_hook()
- fix bloom bugs about inference and TP
- [BUG]AssertionError: Client Optimizer (type = <class 'NoneType'> is not instantiated but Client LR Scheduler is instantiated
- autoTP for HE
- [BUG]when using deepspeed loss learning rate did not down
- How to manipulate model weights within a ZeRO 3 training process?
- Docs
- Python not yet supported