convert onnx to tensorrt failure. TensorRT 10.6. addGridsample: Error Code 3: ApI Usage Error
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Module:ONNX
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- C++
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Description
Log
data = torch.ones((1, 1, 512, 32, 32), dtype=torch.float32)
grid = torch.ones((1, 512, 32, 32, 3), dtype=torch.float32).cuda()
res = torch.nn.functional.grid_sample(img, grid)
The ONNX model performs inference correctly, but conversion to TensorRT fails. The error indicates that the GridSample operator does not support 5D input format.
Environment
**Windows 11
TensorRT Version: 10.6.0.26
NVIDIA GPU: 4070TIs
CUDA Version: 12.8
CUDNN Version: 9
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First steps
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Research direction
Start with the provided PyTorch grid_sample example and the TensorRT 10.6.0.26 conversion error, then compare the successful ONNX inference with the failing TensorRT conversion. Determine whether 5D GridSample conversion is supported; done means the failure is fixed or the limitation and supported behavior are clearly established.
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