Skip to content

xiaoxiawu-microsoft/DeepSpeedExamples

 
 

Repository files navigation

DeepSpeed

This repo contains example models that use DeepSpeed.

Note on Megatron examples

NOTE: We are in the process of deprecating the 3 Megatron-LM snapshots in this repo. Our current and future features with Megatron-LM will use the Megatron-DeepSpeed fork. Currently the Megatron-DeepSpeed fork supports 3D parallelism + ZeRO Stage 1 and Curriculum Learning. Please see this new fork for further updates in the process.

Megatron-LM : This is a fairly old snapshot of Megatron-LM , and we have been using it show case the earlier features of DeepSpeed. This does not contain ZeRO-3 or 3D parallelism.

Megatron-LM-v1.1.5-3D_parallelism: This is a relatively new Megatron (Oct 2020), but before Megatron started supporting 3D parallelism. We ported this version to showcase how to use 3D parallelism inside DeepSpeed with Megatron.

Megatron-LM-v1.1.5-ZeRO3: The underlying Megatron version is same as the 3D_parallelism but it does not contain the 3D parallelism port. It however contains the most recent advances in DeepSpeed including ZeRO-3, ZeRO-3 Offload and ZeRO-Infinity. We did this separately from 3D parallelism port to isolate the changes required for each of them and to avoid users combining them together which is not supported, and will likely lead to more confusion.

Since the 3D parallelism is quite similar in both DeepSpeed and new Megatron, we don't have plans to update to new version immediately. But we do plan to update it in future as Megatron-LM adds more differentiating features.

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.

About

Example models using DeepSpeed

Resources

License

Code of conduct

Security policy

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Python 92.6%
  • Jupyter Notebook 4.7%
  • C++ 1.2%
  • Shell 1.2%
  • Cuda 0.2%
  • JavaScript 0.1%