deepspeedai / deepspeedai/DeepSpeed
[REQUEST] Support Frameworks Other than PyTorch
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- Python
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Description
Is your feature request related to a problem? Please describe.
I've greatly enjoyed using DeepSpeed in order to run larger neural networks on my underpowered and low frame buffer hardware. However, it seems like DeepSpeed is focused only on implemented the memory offloading features to Pytorch and not any newer frameworks like Jax or Flax.
Describe the solution you'd like
Are there any possible plans to also include support for alternative frameworks in deepspeed.
Describe alternatives you've considered
Alternatively, are there any other frameworks/projects that support offloading and other memory saving features of deepspeed, but targeting alternative frameworks?
Additional context
N/A
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No implementation files, tests, or entry points are named. Start by reviewing where DeepSpeed's PyTorch-specific integrations are defined and compare the requested Jax or Flax support needs; done would require an agreed scope and design for supporting an alternative framework, which this issue does not specify.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100