.cuda.is_available() returns false after updating

Hey guys, so I am using Ubuntu 18.04 and CUDA 10.2. Installed pytorch and torchvision by conda. Initially.cuda.is_available() returns True. Now after updating it returns false… Any good solution besides reinstalling?

ps I am a big fan of conda, so please suggest a solution under conda environment, not something like compiling binaries. And idk when pytorch for cuda 10.2 is gonna be out, so won’t count on that…

Could you post the log from the conda installation?
Maybe the wrong version was picked (cpu instead of e.g. cudatoolkit=10.1).

I picked cudatoolkit=10.2 at initial installation, but updating didn’t ask me to pick this option. I’ll post log later.

The binaries are shipping with cudatoolkit=9.2 or 10.1.
If you specify 10.2, you might get the package from another source and PyTorch might fall back to an older release.
I just tested this command and got the following suggestion:

## Package Plan ##

  environment location: /home/pbialecki/anaconda3/envs/tmp

  added / updated specs:
    - cudatoolkit=10.2
    - pytorch
    - torchvision

The following packages will be downloaded:

    package                    |            build
    cudatoolkit-10.2.89        |       hfd86e86_0       364.5 MB
    pytorch-1.0.0              |py3.7_cuda9.0.176_cudnn7.4.1_1       498.7 MB  pytorch
    torchvision-0.2.2          |             py_3          44 KB  pytorch
                                           Total:       863.2 MB

The following NEW packages will be INSTALLED:

  ninja              pkgs/main/linux-64::ninja-1.9.0-py37hfd86e86_0
  pytorch            pytorch/linux-64::pytorch-1.0.0-py3.7_cuda9.0.176_cudnn7.4.1_1
  torchvision        pytorch/noarch::torchvision-0.2.2-py_3

As you can see, PyTorch would be downgraded to 1.0.0 with CUDA9.0.