iot-salzburg / gpu-jupyter

GPU-Jupyter: Leverage the flexibility of Jupyterlab through the power of your NVIDIA GPU to run your code from Tensorflow and Pytorch in collaborative notebooks on the GPU.

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nvcc issue

GeorvityLabs opened this issue · comments

@iot-salzburg ,

i tried to run nvcc --version from within the notebook , but it shows it isn't there.
any tips on how to fix this issue?

same - we have to download and install. did it get deleted during the build?

Hi,
unfortunately, I can't reproduce this issue.
nvcc is installed within this lines:

# reinstall nvcc with cuda-nvcc to install ptax
USER $NB_UID
RUN conda install -c nvidia cuda-nvcc -y && \
conda clean --all -f -y && \
fix-permissions $CONDA_DIR && \
fix-permissions /home/$NB_USER

Note that this Dockerfile part is stacked together into .build/Dockerfile.
The reason why nvcc is installed this way is discussed in #106.

  • Does the error still occur after rebooting?
  • What's the output of nvcc --version on the host machine?
  • Can you manually install the lines and does it work then?
  • What image version do you use? Does it also occur with v1.5_cuda-11.6_ubuntu-20.04

Closing as there is no response and the issue seems to not occur anymore on recent versions.