🐛 [Bug] The lower_example.py Is Broken In nvcr.io/nvidia/pytorch:25.10-py3
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story: Documentation & Examples
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Description
Bug Description
The lower_example.py Is Broken In nvcr.io/nvidia/pytorch:25.10-py3.
To Reproduce
- Run NVIDIA PyTorch Docker container using
docker run -it --rm --gpus all -v $(pwd):/mnt -w /mnt nvcr.io/nvidia/pytorch:25.10-py3. - Run
lower_example.pycopied from the main branch (https://github.com/pytorch/TensorRT/blob/a834c02c67b6f4727ad269fe94c5005c759ddb69/examples/fx/lower_example.py). - Got the error:
AttributeError: 'tensorrt.tensorrt.INetworkDefinition' object has no attribute 'has_explicit_precision'.
Expected behavior
There shall be no error when running the examples in NVIDIA PyTorch Docker container.
Environment
Build information about Torch-TensorRT can be found by turning on debug messages
See the NVIDIA PyTorch Docker container.
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
Start with examples/fx/lower_example.py at the linked main-branch revision and reproduce the failure in nvcr.io/nvidia/pytorch:25.10-py3 using the provided docker run command. Investigate the TensorRT network API at the point that accesses has_explicit_precision. Done means the example runs in that container without the reported AttributeError.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- docker, python, pytorch
- Domain
- devops, machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100