Comments (6)
Same issue on CentOS 7, CUDA 10.0, PyTorch 1.8.1, Python 3.6, GCC 5.2.0.
I may need a dockerfile to reproduce this one.. Pytorch does not have a prebuilt 1.8.1 version with CUDA==10.0
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Same issue on CentOS 7, CUDA 10.0, PyTorch 1.8.1, Python 3.6, GCC 5.2.0.
I may need a dockerfile to reproduce this one.. Pytorch does not have a prebuilt 1.8.1 version with CUDA==10.0
Thank you for your reply. It works with CUDA 10.1 and PyTorch 1.5.0. The reason that this issue occurs may relate to wrong corresponding relations between PyTorch and CUDA version.
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Could you provide the Ubuntu/Cuda/Python/PyTorch version of your environment so that I could reproduce?
Personally, I have tried on Ubuntu18.04/[Cuda 10.2 11.2]/Python[3.6]/[Pytorch 1.5 1.6 1.8], and Ubuntu20.04/[Cuda 11.1]/Python[3.8]/[Pytorch 1.8]
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Same issue on CentOS 7, CUDA 10.0, PyTorch 1.8.1, Python 3.6, GCC 5.2.0.
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Same issue on CentOS 7, CUDA 10.0, PyTorch 1.8.1, Python 3.6, GCC 5.2.0.
I have not tried out CentOS. I will try to have a follow up
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Same issue on CentOS 7, CUDA 10.0, PyTorch 1.8.1, Python 3.6, GCC 5.2.0.
I have not tried out CentOS. I will try to have a follow up
THX. I will try PyTorch 1.5 or lower on Monday. I suppose this is not a system issue (CentOS or Ubuntu).
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Related Issues (20)
- Pretrained weights HOT 2
- Dockerfile HOT 1
- cpu HOT 1
- Training on custom dataset with shifted camera angle HOT 1
- Template problem HOT 4
- Mismatch between 2D bbox and projected 3D bbox after affine transformation HOT 2
- Support for mono 3D random resize augmentation HOT 4
- A problem with pretrain dla model HOT 6
- Preprocessing another data HOT 7
- How to Create Custom DATA Like Kitti HOT 1
- How to build ops (deform convs and iou3d)?
- 运行./launchers/det_precompute.sh config/Stereo3D.py train时报错 HOT 5
- 请问大佬使用的双目匹配方法和stereo3d.md文件的作用 HOT 3
- 请问作者有没有检测视频和摄像头的代码 HOT 2
- About lack of dataset HOT 2
- which datasets to download?
- Inference on Nuscenes HOT 1
- The Version of pytorch /cuda HOT 1
- 自制的KITTI数据集训练闪退问题 HOT 3
- Problem with allocating memory (CUDA out of memory) HOT 2
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