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🛠 Troubleshooting

Updating Cuda​

Every Jarvislabs instance comes with a particular cuda library. If you want to use a different version of cuda, then you can follow the below steps.

Update​

apt update
export DEBIAN_FRONTEND=noninteractive
apt-get install libxml2 -y

Download the required version of Cuda​

wget https://developer.download.nvidia.com/compute/cuda/11.7.1/local_installers/cuda_11.7.1_515.65.01_linux.run

Install Cuda​

sh cuda_11.7.1_515.65.01_linux.run --silent --toolkit --toolkitpath=/home/cuda_11.7

You can install a particular version of torch like this​

pip install torch==1.13.0+cu117 torchvision==0.14.0+cu117 torchaudio==0.13.0 --extra-index-url https://download.pytorch.org/whl/cu117

Freeing up the disk space​

When you remove files from JupyterLab, they are transferred to the trash folder. In order to truly clear up storage, you must also empty the contents of the trash folder.

Use the below command

rm -rf .local/share/Trash/files/*

Connecting to JupyterLab​

When running long running jobs or due to network issues, you may loose the progress bar or logs in the JupyterLab output. You can try this below step to see the progress back.

  1. Select Kernel
  2. Select Reconnect to Kernel

Reconnect to Kernel

Download folder from JupyterLab​

You need to compress a folder before downloading it. You can use tools like tar to compress a folder.

Example:

tar -czvf folder.tar.gz folder

Uncompress the folder using the below command

tar -xzvf folder.tar.gz