train_S3DIS.py error

[narges-tk]

Hi! Thanks for sharing your code. I tried it for S3DIS dataset and am facing the following error when I ran the CUDA_VISIBLE_DEVICES=0, python train_S3DIS.py command: RuntimeError: CUDA error: CUBLAS_STATUS_INVALID_VALUE when calling cublasSgemm( handle, opa, opb, m, n, k, &alpha, a, lda, b, ldb, &beta, c, ldc).

Thank you in advance for your help.

[zhang-zihui]

@narges-tk, Hi, seems the error occurred in MinkowskiEngine, did you keep the same virtual environment with us?

[narges-tk]

Yes, I have created the same virtual environment

[zhang-zihui]

Hi, @narges-tk, I guess the MinkowskiEngine may have some errors, you can try another installation: Please install pytorch and other packages as illustrated in Readme. and activate the environment, then type the follow command to install MinkowskiEngine:

git clone --recursive "https://github.com/NVIDIA/MinkowskiEngine"
cd MinkowskiEngine
git checkout 02fc608bea4c0549b0a7b00ca1bf15dee4a0b228
python setup.py install --force_cuda --blas=openblas 

[narges-tk]

Many thanks for your help! Now cuda error is resolved. However, I am getting new following error related to numpy. I did not managed to fix it. Any suggestion is welcome. Thanks in advance

[narges-tk]

I have solved the numpy error. However, I am facing the same cuda error again! Any help is greatly appreciated.

[zhang-zihui]

https://github.com/coqui-ai/TTS/issues/1517, this issue may provide some help, typing "unset LD_LIBRARY_PATH" in your python environment as https://github.com/coqui-ai/TTS/issues/1517#issuecomment-1437973294

[narges-tk]

Thanks, it is now resolved!

[jianGao555]

谢谢，现在已经解决了！

I have the same problem, can you provide a solution please?