Comments (2)
It appears there is a version mismatch between your CUDA toolkit and your GPU driver's runtime version. In particular, your driver may be behind the CUDA toolkit. I think you have three options: 1) Update your NVIDIA GPU drivers so your CUDA runtime version catches up to the toolkit. 2) Recompile the inference kernel with a older version of the CUDA toolkit. 3) Pass the flag --nouse_inference_kernel to the eval.py script. This should work but be much, much slower.
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thanks for your patience!u r right ,I solved the problem by update my NVIDIA GPU driver
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Related Issues (13)
- Fix issues while running ./build_gaps.sh HOT 3
- /process_mesh_local.sh: line 47: 13856 Bus error (core dumped) ${gaps}/msh2msh $mesh_in $mesh -scale_by_pca -translate_by_centroid -scale 0\.25 -debug_matrix ${outdir}/orig_to_gaps.txt
- Segmentation fault when train the net HOT 3
- Is it possible to share your preprocessed data and pretrained model of LDIF? HOT 4
- Visualization with qview: scaling issue
- Abnormal chamfer metric reproduced on ShapeNet HOT 8
- no limitation for "%s" while calling fscanf()
- Error when unit testing
- The result of unit_test.sh HOT 1
- IO Performance Issues HOT 2
- Crash on train HOT 1
- Error in data preprocessing HOT 1
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