🐛 [Bug] TensorRT-RTX: Cuda graph test failed
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Nobody has claimed this yet.
bug
story: TRT-RTX Platform
- Dominant language
- Python
- Stars
- 3k
- Forks
- 410
- Avg merge
- 3d 18h
- Merged PRs (30d)
- 78
Description
Bug Description
https://github.com/pytorch/TensorRT/actions/runs/16943321256/job/48019040042
Steps to reproduce the behavior:
Expected behavior
Environment
Build information about Torch-TensorRT can be found by turning on debug messages
- Torch-TensorRT Version (e.g. 1.0.0):
- PyTorch Version (e.g. 1.0):
- CPU Architecture:
- OS (e.g., Linux):
- How you installed PyTorch (
conda,pip,libtorch, source): - Build command you used (if compiling from source):
- Are you using local sources or building from archives:
- Python version:
- CUDA version:
- GPU models and configuration:
- Any other relevant information:
Additional context
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 the linked GitHub Actions job to identify which CUDA graph test failed and capture its error output and environment. The issue omits reproduction steps and environment details, so gather those before investigating. Done means the failure has a confirmed cause and the affected test passes reliably.
Written by the indexing model from the issue text.
Assessment
- Domain
- machine-learning, testing
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100