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RuntimeError: CUDA error: no kernel image is available for execution on the device #30
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run run |
I just ran command |
It works. The model is training! I choose to install torch==1.13.1+cu117 torchvision==0.14.1+cu117 torchaudio==0.13.1. |
Hello, this is a great job! However, when I was training with the vg100k dataset, I encountered an error: RuntimeError: CUDA error: no kernel image is available for execution on the device. After reviewing some information, I found that the possible reason is that the pytorch version does not support my gpu. Have you ever encountered this problem and is there any solution?
My gpu is GeForce RTX 4090. The torch version and other python extensions are consistent with requeirments.txt.
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