Since I don't know how computers work... I'm always running into issues and for some reason I tend to never read the errors or logs.
NOT TODAY!
I just thought about it for a few moments, but I was trying to figure out how to get ncu to run (Nsight Compute CLI)
ncu --set full -o output python3 prof.py
One situation that seems pretty common that is making a small partition for the root directory and allocated the rest of your memory for your home directory.
The default data-root is in /var/lib/docker/ - my solution is just to move all the files in this directory to /home with the same permissions and what not.
All you have to do is stop docker processes and the service sudo systemctl stop docker
| : ${SKU:='16531651'} | |
| : ${USER_AGENT:='Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36'} | |
| read -r SHIPPING_STATUS QUANTITY <<< $(curl -s "https://www.bestbuy.ca/ecomm-api/availability/products?accept=application%2Fvnd.bestbuy.standardproduct.v1%2Bjson&postalCode=${POSTAL_CODE}&skus=${SKU}"\ | |
| -H 'accept: application/json' \ | |
| -H 'user-agent: $USER_AGENT' \ | |
| --compressed | jq -r '.availabilities[0].shipping.status, .availabilities[0].shipping.quantityRemaining') | |
| echo "$(date '+%Y-%m-%d %H:%M:%S') - status=$SHIPPING_STATUS | quantity=$QUANTITY" >> "output.log" | |
| tail -n 15 output.log |
If you are seeing this error, it's likely because you are using an incompatible version of gcc/g++. Currently (2023/11/26), you need to have gcc-12 and g++-12.
gcc: error trying to exec 'cc1plus': execvp: No such file or directory
Make sure to install and point your symlinks for gcc and g++ to the right versions.
sudo apt install gcc-12 g++-12
WARNING: I don't really care about desktop, so this might fuck it up - make sure you can still ssh into it on reboots
If your installation is really messed up or you've kind of mangled it by mashing commands, you should wipe everything cuda related and restart - the docs provides a neat that will get rid of most if not all traces
(https://gist.github.com/hitorilabs/3fed1a6e5dd500edb5ad7568562c064d)
https://docs.nvidia.com/cuda/cuda-installation-guide-linux/#removing-cuda-toolkit-and-driver
As an overview, here's a laundry list of things you probably want to check:
I was wondering why it took so long for my deep learning rig to fully boot up. It literally takes 5 minutes to go from reboot to ssh service start. Unlike desktop motherboards, the ROMED8-2T has two 10G RDMA ethernet controllers and a port for the IPMI interface.
For a while I thought I must have done something wrong - but it turns out when there are free, unmapped ports it will block boot. To fix this, you just need to make the other interfaces optional in your /etc/netplan/*.yaml
network:
ethernets:
enoXnpX:
addresses:
- ...
sudo apt install rsync tmux git build-essential gcc-12 g++-12sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-12 100
sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-12 100
python + cmake
sudo apt install pkg-config libssl-dev
| : ${DESTINATION_DIRECTORY:=} [0/0] | |
| : ${BACKUP_FILENAME:=$(date +%Y%m%d%H%M%S)-backup.tar.gz} | |
| tar -czpvf $DESTINATION_DIRECTORY/$BACKUP_FILENAME \ | |
| --exclude=/proc \ | |
| --exclude=/tmp \ | |
| --exclude=/mnt \ | |
| --exclude=/dev \ | |
| --exclude=/sys \ | |
| --exclude=/run \ |