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]CUDA error in pipeline parallel
- [BUG] FlopsProfiler upsample flops compute bug
- [BUG] Version >0.14.0 leads to `RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!`
- Improve _configure_optimizer() final optimizer log
- Fix the TypeError for XPU Accelerator
- [BUG]AttributeError: module 'torch.nn.functional' has no attribute 'scaled_dot_product_attention'
- [BUG] fp_quantizer is not correctly built when non-jit installation
- Add Ulysses DistributedAttention compatibility
- create mininal universal checkpoint info for client state
- [BUG] Zero3: Post backward hook is not triggered for submodules whose inputs have .required_grad=False
- Docs
- Python not yet supported