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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.
Apache License 2.0
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nvtop [enhancement] #55

Closed victor-moreno closed 3 years ago

victor-moreno commented 3 years ago

Hi, Could you add nvtop to your builds: https://github.com/Syllo/nvtop

For some reason, I cannot build a new image with this Dockerfile

FROM cschranz/gpu-jupyter:v1.4_cuda-11.0_ubuntu-18.04 RUN git clone https://github.com/Syllo/nvtop.git && \ mkdir -p nvtop/build && cd nvtop/build && \ cmake .. -DNVML_RETRIEVE_HEADER_ONLINE=True && \ make && make install && \ cd /tmp && rm -rf /tmp/nvtop

Error: /usr/bin/ld: cannot find -lnvidia-ml

Some environment variable is missing, because once the image is running I can compile nvtop if I first deactivate conda

ChristophSchranz commented 3 years ago

That's a valuable package.

The commit 148e6579994c386e8a0e6bb921e9c073c6fe0667 should have solved it.

ChristophSchranz commented 3 years ago

Okay it seems it does not work as expected. Additionally, this package currently requires the cuda devel image (nvidia/cuda:-devel-), see here

I suggest we wait until there is a fix for that!

ChristophSchranz commented 3 years ago

Ups, the there was an error on my side. It works now with 5a9c953f7d812e73341afbb30cf40e934ee7e35c