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The following error occurred during the process of converting the onnx file to engine on jetson orin. For specific logs, see the attached file
The execution command is /usr/src/tensorrt/bin/trtexec --onnx=./checkpoints/onnx/bevformer_small_epoch_24_cp2_add_cast.onnx --saveEngine=bevformer_small_epoch_24_cp2_add_cast.engine --fp16 --int8 --plugins=/home/orin/disk/BEVFormer_tensorrt/TensorRT/lib/libtensorrt_ops.so --dumpLayerInfo --profilingVerbosity=detailed --exportLayerInfo=layers.json --verbose
The error message is ‘error in ms_deformable_im2col_cuda: invalid configuration argument’
When I use tensorrt8.6, the above error does not occur. So I think it may be strongly related to tensorrt version.
TensorRT Version: 10.3
NVIDIA GPU: jetson orin
CUDA Version:12.2
Jetpack Version:12.2
Operating System: 22.04
Baremetal or Container (if so, version): nvcr.io/nvidia/l4t-jetpack:r36.4.0
Model link: https://drive.google.com/file/d/1rAQWJJt5qaCkxevlAnzmCgnUYfXzCHoB/view?usp=sharing
The text was updated successfully, but these errors were encountered:
https://drive.google.com/file/d/11ndILhN3KvQo2eu4-vYCi9OvJ0JGw5T2/view?usp=drive_link log is in the link.
Sorry, something went wrong.
invalid configuration argument means nearly cuda/kernel has error, and you has better to recompile libtensorrt_ops in different trt versions.
invalid configuration argument
My libtensorrt_ops was recompiled and generated in the environment of tensorrt 10.3. But this error is still reported. Why is it? Thank you. @lix19937
You can do a unit test for your plugin.
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Description
The following error occurred during the process of converting the onnx file to engine on jetson orin. For specific logs, see the attached file
The execution command is
/usr/src/tensorrt/bin/trtexec --onnx=./checkpoints/onnx/bevformer_small_epoch_24_cp2_add_cast.onnx --saveEngine=bevformer_small_epoch_24_cp2_add_cast.engine --fp16 --int8 --plugins=/home/orin/disk/BEVFormer_tensorrt/TensorRT/lib/libtensorrt_ops.so --dumpLayerInfo --profilingVerbosity=detailed --exportLayerInfo=layers.json --verbose
The error message is
‘error in ms_deformable_im2col_cuda: invalid configuration argument’
When I use tensorrt8.6, the above error does not occur. So I think it may be strongly related to tensorrt version.
Environment
TensorRT Version: 10.3
NVIDIA GPU: jetson orin
CUDA Version:12.2
Jetpack Version:12.2
Operating System: 22.04
Baremetal or Container (if so, version): nvcr.io/nvidia/l4t-jetpack:r36.4.0
Relevant Files
Model link: https://drive.google.com/file/d/1rAQWJJt5qaCkxevlAnzmCgnUYfXzCHoB/view?usp=sharing
Steps To Reproduce
https://github.com/DerryHub/BEVFormer_tensorrt/tree/main/TensorRT/plugin)
The text was updated successfully, but these errors were encountered: