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Error: File /var/log/cuda-installer.log does not exist when installer an older cuda #207
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Hey thx for the report, for your first question that is a good one, I'll change the artifact uploading code in a new PR. For your second point, have you tried using the network method? Like this: steps:
- uses: Jimver/cuda-toolkit@v0.2.9
id: cuda-toolkit
with:
cuda: '12.1.0'
method: 'network'
sub-packages: '["nvcc"]' You can see more details in the README.md file |
- This fixes #207, older CUDA versions don't have an installer log at the hardcoded location of /var/log/cuda-installer.log so the artifact uploader would fail. - To fix this let's not upload any artifacts in the first place if there is no log file to upload.
Not sure if point 2 is fixed yet so reopening |
- This fixes #207, older CUDA versions don't have an installer log at the hardcoded location of /var/log/cuda-installer.log so the artifact uploader would fail. - To fix this let's not upload any artifacts in the first place if there is no log file to upload.
- This fixes #207, older CUDA versions don't have an installer log at the hardcoded location of /var/log/cuda-installer.log so the artifact uploader would fail. - To fix this let's not upload any artifacts in the first place if there is no log file to upload.
I am seeing the install log artifact upload fail due to file permissions...
In my case, the installer log has the following permissions...
|
thanks for developing this action script!
I spent the past few hours trying to use it for one of my CUDA projects. I found two issues and would like to see if there is a workaround
I kept getting an error (
Error: Error: File /var/log/cuda-installer.log does not exist
) at the end of the cuda installation, see https://github.com/fangq/mcx/actions/runs/4401047764/jobs/7706904559. I even forked this repo and removed the artifact uploading code insidesrc/installer.ts
, yet, it still kept giving me this error. I was trying to install cuda 9.2 for its smaller size. is there a workaround?the default cuda 12.x is over 4GB in size. when I used the default setting, I got "No space left on device" error, see https://github.com/fangq/mcx/actions/runs/4400016129/jobs/7704933495; same for the the CI tests: https://github.com/fangq/cuda-toolkit/actions/runs/4401127506/jobs/7707048051. what is the most compact installation option? I only need nvcc and libcudart/libcudartstatic for my project.
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