Colab environment broken/can't import mxnet or d2l

#1

I’ve been using colab for the homeworks, and its been fine until just now. I currently get a “libcudart.so.9.2: cannot open shared object file: No such file or directory” error when importing mxnet or d2l after installation. Anyone else having this issue?

#2

Having this issue as well!! Have you found a way to fix this?

#3

I’ve been trying different versions like, mxnet-cu90 and I’ve been getting similar error messages: libcudart.so.9.0: cannot open shared object file: No such file or directory.

I think the install might not be working. Any way to fix this?

#4

This doesn’t work either: https://github.com/googlecolab/colabtools/issues/297

I’ve tried cu80 - 92, none of the versions seems to be working.

#5

turns out they upgraded to cuda 10, using pip install mxnet-cu100 worked for me

#6

pip install mxnet without specifying the version also worked for me. Glad this worked out.

#7

thanks for it. will update the notebooks repo later.

#8

Make sure that MXNet version matches the CUDA, by running on a non-GPU instance first:

!nvcc --version

For detailed working test in Colab see: https://discuss.mxnet.io/t/not-implemented-for-use-with-gpus/1093/5