Hello, I’ve been trying to run the OneMap evaluation with an RTX 5090 GPU, but I keep encountering intermittent segmentation faults during execution. The error occurs randomly in the middle of evaluation, preventing me from completing a full run.
I’m wondering if this instability could be related to the PyTorch version I’m using: torch 2.11.0+cu128, which is required to support the RTX 5090.
Error logs are as follows:
(onemap) ➜ OneMap git:(main) ✗ python eval_habitat.py --config config/mon/eval_conf.yaml
anaconda3/envs/onemap/lib/python3.10/site-packages/timm/models/layers/__init__.py:49: FutureWarning: Importing from timm.models.layers is deprecated, please import via timm.layers
warnings.warn(f"Importing from {__name__} is deprecated, please import via timm.layers", FutureWarning)
TensorRT not available, cannot use Jetson
[1] 90148 segmentation fault (core dumped) python eval_habitat.py --config config/mon/eval_conf.yaml
Or sometimes it crashes later during inference:
YOLO forward: 0.012259244918823242
YOLO forward: 0.012404680252075195
YOLO forward: 0.01256561279296875
YOLO forward: 0.012644529342651367
tensor(0.8005, device='cuda:0')
YOLO forward: 0.01303863525390625
[1] 100698 segmentation fault (core dumped) python3 eval_habitat.py --config config/mon/eval_conf.yaml
Any insights or suggestions would be greatly appreciated. Thank you!
Hello, I’ve been trying to run the OneMap evaluation with an RTX 5090 GPU, but I keep encountering intermittent segmentation faults during execution. The error occurs randomly in the middle of evaluation, preventing me from completing a full run.
I’m wondering if this instability could be related to the PyTorch version I’m using: torch 2.11.0+cu128, which is required to support the RTX 5090.
Error logs are as follows:
Or sometimes it crashes later during inference:
Any insights or suggestions would be greatly appreciated. Thank you!