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CUDA kernel failed : invalid device function #2
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I went followed the forward pass step by step in debug mode, I found the that problem comes from this line: flownet3d_pytorch/lib/pointnet2_utils.py Line 28 in 051ead6
Any ideas of what could cause the problem? |
Hi, But in fact,
You can check whether |
Thanks =) I am not very skilled myself in CUDA, how can I check that? I did not find anything online that I could use. |
This page shows the relationship between GPUs and their compute capability. For example, my RTX 2080 Ti compute capability is 7.5, so the parameter of |
I encountered the same problem. |
It seems that mismatched NVCC vs CUDA Runtime version is the root cause. |
Hey,
Really good job with the implementation!
I am running into the following error when I try to use your implementation of the FlowNet3D:
It does not show the line the error is raised.
Which CUDA version are you using? I am using 10.1
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