add installation notes for CUDA 12.4, pyenv, and PyTorch; include useful links
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notes/cuda-12-4-install.md
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notes/cuda-12-4-install.md
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# CUDA 12.4 Install
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> https://unknowndba.blogspot.com/2024/04/cuda-getting-started-on-wsl.html (@\_freddenis\_, 2024)
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```bash
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# get md5sums
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wget https://developer.download.nvidia.com/compute/cuda/12.4.1/docs/sidebar/md5sum.txt
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#
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# setup cuda apt repo
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wget https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64/cuda-wsl-ubuntu.pin
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sudo mv cuda-wsl-ubuntu.pin /etc/apt/preferences.d/cuda-repository-pin-600
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#
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# download installer and check md5sum
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wget https://developer.download.nvidia.com/compute/cuda/12.4.1/local_installers/cuda-repo-wsl-ubuntu-12-4-local_12.4.1-1_amd64.deb
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md5sum --check --ignore-missing md5sum.txt
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#
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# try to install cuda (this will fail, but it puts the keyring file in the correct spot)
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sudo dpkg -i cuda-repo-wsl-ubuntu-12-4-local_12.4.1-1_amd64.deb
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#
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# copy cuda gpg keyring to keyrings
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sudo cp /var/cuda-repo-wsl-ubuntu-12-4-local/cuda-*-keyring.gpg /usr/share/keyrings/
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#
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# install cuda (this time for real)
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sudo dpkg -i cuda-repo-wsl-ubuntu-12-4-local_12.4.1-1_amd64.deb
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#
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# install cuda-toolkit
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sudo apt update
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sudo apt install cuda-toolkit-12-4
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#
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# setup path
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# sudo apt install plocate
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locate nvcc
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# -> returns /usr/local/cuda-12.4
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# add these lines to your .profile (.zshrc, ...)
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#
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# export PATH="/usr/local/cuda-12.4/bin:$PATH"
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# export LD_LIBRARY_PATH="/usr/local/cuda-12.4/lib64:$LD_LIBRARY_PATH"
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#
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# after source-ing, check version of nvcc
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nvcc -V
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```
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## check cuda installation with cuda samples
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```bash
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git clone https://github.com/NVIDIA/cuda-samples
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cd cuda-samples/Samples/1_Utilities/deviceQuery
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make
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./devicequery
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```
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### if the cuda-toolkit install fails with unmet dependencies
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>https://askubuntu.com/a/1493087 (jspinella, 2023, CC BY-SA 4.0)
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1. Open the *new* file for storing the sources list
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```bash
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sudo nano /etc/apt/sources.list.d/ubuntu.sources
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```
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2. Paste in the following at the end of the file:
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```raw
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Types: deb
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URIs: http://archive.ubuntu.com/ubuntu/
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Suites: lunar
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Components: universe
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Signed-By: /usr/share/keyrings/ubuntu-archive-keyring.gpg
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```
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3. Save the file and run `sudo apt update` - now the install command for CUDA should work.
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4
notes/links.md
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notes/links.md
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# useful links
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- (Optuna)[https://optuna.org] Hyperparameter optimization framework
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`pip install optuna`
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notes/pyenv-install.md
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notes/pyenv-install.md
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# pyenv install
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## install
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nice to have:
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```bash
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sudo apt install python-is-python3
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```
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```bash
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curl https://pyenv.run | bash
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```
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## setup zsh
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add the following to `.zshrc`:
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```bash
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export PYENV_ROOT="$HOME/.pyenv"
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[[ -d $PYENV_ROOT/bin ]] && export PATH="$PYENV_ROOT/bin:$PATH"
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eval "$(pyenv init -)"
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```
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## pyenv install
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prerequisites:
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```bash
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sudo apt update
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sudo apt install build-essential libssl-dev zlib1g-dev \
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libbz2-dev libreadline-dev libsqlite3-dev curl git \
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libncursesw5-dev xz-utils tk-dev libxml2-dev libxmlsec1-dev \
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libffi-dev liblzma-dev python3-pip
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```
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install:
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```bash
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# using python 3.12.7 as an example
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pyenv install 3.12.7
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# optional
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pyenv global 3.12.7
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pyenv versions
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```
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25
notes/pytorch-install.md
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25
notes/pytorch-install.md
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# pytorch install
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## create venv
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```bash
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python -m venv ./.venv
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source ./.venv/bin/activate
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```
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## install pytorch
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> https://pytorch.org/get-started/locally/
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```bash
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pip install torch torchvision torchaudio
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```
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## test pytorch install
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```python
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import torch
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x = torch.rand(5, 3)
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print(x)
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torch.cuda.is_available()
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```
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