dmlc
Code corrupted silently when import decord before torch
This issue occurs when I import decord before torch, and then place nn.Module on the GPU.
import decord
import torch
torch.nn.Linear(3, 3).cuda()
It corrupted silently using python3 debug.py, and reported Segmentation fault (core dumped) when running in terminal.
Instead, the following code runs well,
import torch
import decord
torch.nn.Linear(3, 3).cuda()
same with me. versions:
python: 3.10.14 decord: 0.6.0 pytorch: 2.3.0
and cuda related libs installed by pip: nvidia-cublas-cu12 12.1.3.1 nvidia-cuda-cupti-cu12 12.1.105 nvidia-cuda-nvrtc-cu12 12.1.105 nvidia-cuda-runtime-cu12 12.1.105 nvidia-cudnn-cu12 8.9.2.26 nvidia-cufft-cu12 11.0.2.54 nvidia-curand-cu12 10.3.2.106 nvidia-cusolver-cu12 11.4.5.107 nvidia-cusparse-cu12 12.1.0.106 nvidia-nccl-cu12 2.20.5 nvidia-nvjitlink-cu12 12.4.127 nvidia-nvtx-cu12 12.1.105
