Get the layer attributes
Nobody has claimed this yet.
- Dominant language
- C++
- Stars
- 13.4k
- Forks
- 2.4k
- Avg merge
- 5d 3h
- Merged PRs (30d)
- 2
Description
Description
Greetings to all, you can tell me I have an EfficientNMS_TRT layer in the ONNX model, but its type is not nvinfer1::LayerType::kNMS.
check the screenshot:
If I try to bring this layer to dynamic_cast<nvinfer1::INMSLayer>*, then I still don't have the attributes that are inherent in INMSLayer.
How can I get the layer attributes?
Environment
TensorRT Version: 8.6.1.6
NVIDIA GPU: RTX3060
NVIDIA Driver Version: 555.42.02
CUDA Version: 11.1
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 EfficientNMS_TRT is represented in the TensorRT 8.6.1.6 API and compare its reported layer type with the INMSLayer interface. Determine whether the needed attributes are exposed for this layer type; done means identifying the supported way to retrieve them or documenting that the API does not expose them.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- cpp
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100