Unstructured-IO / Unstructured-IO/unstructured-inference
Add support to Rocm (AMD) onnx provider
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 209
- Forks
- 73
- PR merge metrics
- No merged PRs in 30d
Description
Hi, in models/yolox.py and detectron2onnx.py, we can add support to AMD GPUs by modifying ordered_providers list to
ordered_providers = [
"ROCMExecutionProvider",
"TensorrtExecutionProvider",
"CUDAExecutionProvider"
]
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 with models/yolox.py around the ordered_providers list and then inspect detectron2onnx.py for the corresponding provider configuration. Confirm how the existing provider order is used, add ROCMExecutionProvider support in both locations, and verify that the current CUDA and TensorRT providers remain represented.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Clearly specified
- Newbie friendliness
- 52/100