[graphShapeAnalyzer.cpp::checkCalculationStatusSanity::1916] Error Code 2: Internal Error (Assertion !isInFlight(p.second.symbolicRep) failed. )
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Description
Description
Environment
TensorRT Version: 10.4.0.26-1+cuda12.6 (upgrading from 10.3)
NVIDIA GPU: V100
NVIDIA Driver Version:
CUDA Version:
Cuda compilation tools, release 12.5, V12.5.82
CUDNN Version: 9
Operating System:
Python Version (if applicable):
Tensorflow Version (if applicable):
PyTorch Version (if applicable):
Baremetal or Container (if so, version): nvidia/cuda:12.5.1-cudnn-devel-ubuntu20.04
Relevant Files
Model link:
Steps To Reproduce
Build onnxruntime
Commands or scripts:
In built directory
python onnxruntime_test_python_nested_control_flow_op.py
Have you tried the latest release?:
Can this model run on other frameworks? For example run ONNX model with ONNXRuntime (polygraphy run <model.onnx> --onnxrt):
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
Run onnxruntime_test_python_nested_control_flow_op.py from the built directory to reproduce the assertion, then inspect graphShapeAnalyzer.cpp around checkCalculationStatusSanity at line 1916. Determine why the nested control-flow test reaches the in-flight symbolic representation assertion; done means the test completes without the internal error.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- cpp, python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100