Comments (2)
mileyan
commented on June 20, 2024
The warning shows your GPU 1 is different with your GPU 0. Could you please list your hardware environment?
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kotchin
commented on June 20, 2024
It says they are different yes, but they aren't. I'm running with 2x RTX 2080 Ti, with the same amount of memory.
I listed above the solution to fix it, which seems to be a problem with Python2 divisions.
I found this fix here.
EDIT: There is nothig wrong with your code, it's a pytorch error. I'm just sharing the fix which seems to have touched other people too.
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Related Issues (20)
- Evaluation with pre-trained frustum pointnet HOT 1
- AVOD pre-trained weights for mono pseudo-lidar HOT 1
- have trouble in Train the stereo model
- pseudo lidar HOT 1
- pseudo lidar gives wrong converted point cloud HOT 1
- Can not install pytorch with Python 2.7 HOT 2
- Training for my own custom data HOT 3
- If you need PSMNet but only want to go with python 3, check this repo then HOT 1
- Why pseudo point cloud results in this proposed method seem too far different from LIDAR? HOT 4
- question about dataloader
- About the calibration problem between the true location and the Pseudo-LiDAR HOT 1
- [Feature requested] Python3 support
- How did you handle calib matrices in mono+depth setting HOT 3
- Why does the nan value appear in loss when training the stereo model?
- Confusion about paper table 5
- visualization code cannot get point cloud output HOT 1
- Visualising Pseudo and Real LiDAR HOT 1
- Training Custom dataset
- Nuscenes dataset application
- can you share the dorn project
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