Jetson 4.6.1: opset 17 not supported for onnxruntime-gpu 1.11.0
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 2.5k
- Forks
- 320
- Avg merge
- 1d 14h
- Merged PRs (30d)
- 133
Description
Search before asking
- I have searched the Inference issues and found no similar bug report.
Bug
Environment
NVIDIA Jetson-AGX
L4T 32.6.1 [ JetPack 4.6 ]
Ubuntu 18.04.5 LTS
Kernel Version: 4.9.253-tegra
CUDA 10.2.300
CUDA Architecture: 7.2
OpenCV version: 4.1.1
OpenCV Cuda: NO
CUDNN: 8.2.1.32
TensorRT: 8.2.1.9
Vision Works: 1.6.0.501
VPI: 1.2.3
Vulcan: 1.2.70
Minimal Reproducible Example
No response
Additional
Jetpack 4.6.1 supports untill onnxruntime 1.11.0
onnxruntime supports untill opset 16
roboflow models are opset 17 models
In need of conversion to opset 16 models for jetson 4.6.1 image
Are you willing to submit a PR?
- Yes I'd like to help by submitting a PR!
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 repository file, test, or entry point is named. Begin with the Jetson 4.6.1 environment and the reported onnxruntime-gpu 1.11.0/opset mismatch; done would require a documented, working compatibility path for the reported Roboflow models.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, embedded-iot, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100