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
- Train batch size errors
- [BUG] RuntimeError: Unable to JIT load the fp_quantizer op due to it not being compatible due to hardware/software issue. FP Quantizer is using an untested triton version (3.1.0), only 2.3.(0, 1) and 3.0.0 are known to be compatible with these kernels
- [REQUEST] is fp8 training supported?
- [BUG] RuntimeError: The size of tensor a (2048) must match the size of tensor b (1024) at non-singleton dimension 2
- [BUG]Convergence Issue: Training BERT for Embedding with Zero2 and 3 as compared to Torchrun
- Tecorigin sdaa accelerator
- [BUG] triton kernel， loss 0， grar-norm nan
- [REQUEST] Support for XLA/TPU
- prterun noticed that process rank 7 with PID 0 on node gpu0304 exited on signal 6 (Aborted).
- DeepSpeed with ZeRO3 strategy cannot build 'fused_adam'
- Docs
- Python not yet supported