[Out of Box Experience]: ROCm Transformer Engine Should Be Included in AMD Pytorch Images
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- Dominant language
- Python
- Stars
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- Avg merge
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Description
Suggestion Description
Hi @hliuca ,
On Nvidia NGC Pytorch Containers nvcr.io/nvidia/pytorch:24.xx-py3, Transformer Engine is included out of the box. This leads to less end user installation misconfiguration issues such as not using the correct build flags.
Currently on rocm/pytorch& on rocm/pytorch-nightly, Transformer Engine is not included out of the box.
It would be great to have parity with Nvidia on this.
https://docs.nvidia.com/deeplearning/frameworks/pytorch-release-notes/rel-24-09.html
Operating System
Ubuntu
GPU
MI300X
ROCm Component
No response
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
Start by reviewing how the rocm/pytorch and rocm/pytorch-nightly images are defined and how Transformer Engine is installed for AMD GPUs. Confirm the required build flags and image packaging approach, then verify that Transformer Engine is available out of the box in both images without end-user installation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- devops, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100