Megvii-BaseDetection / Megvii-BaseDetection/YOLOX
Issue regarding torch2trt
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TensorRT
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- Python
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Description
Hello,
I have a Nvidia jetson xavier AGX dev kit
NVIDIA Jetson AGX Xavier [16GB]
* Jetpack 4.6 [L4T 32.6.1]
* NV Power Mode: MODE_30W_ALL - Type: 3
* jetson_stats.service: active
- Libraries:
* CUDA: 10.2.300
* cuDNN: 8.2.1.32
* TensorRT: 8.0.1.6
* Visionworks: 1.6.0.501
* OpenCV: 4.5.1 compiled CUDA: YES
* VPI: ii libnvvpi1 1.1.15 arm64 NVIDIA Vision Programming Interface library
* Vulkan: 1.2.70
I try to run tools/trt.py and I get a segmentation fault and no other issue raised helped me thus far.
python3 tools/trt.py -n yolox-s -c yolox_s.pth --workspace 8
Segmentation fault (core dumped)
I want to run DeepSORT+YOLOX
Please help.
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Research direction
Start with tools/trt.py and reproduce the reported command using the listed Jetson Xavier, JetPack, CUDA, cuDNN, and TensorRT versions. Compare the failure with the project’s documented TensorRT or torch2trt usage; done means identifying a supported configuration or a reproducible cause for the segmentation fault.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- computer-vision, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100