Development Instructions for TPU

Setup

Apply to the TRC program for free TPU credits if you're elligible.
Follow the Cloud TPU VM User's Guide to set up gcloud.
Verify gcloud config list, in particular account, project & zone.
Create a TPU VM per the guide and connect to it.

When needing a larger disk:

Create a balanced persistent disk (SSD, so pricier than default HDD but much faster): gcloud compute disks create DISK_NAME --size SIZE_IN_GB --type pd-balanced
Attach the disk to your instance by adding --data-disk source=REF per "Adding a persistent disk to a TPU VM" guide, eg gcloud alpha compute tpus tpu-vm create INSTANCE_NAME --accelerator-type=v3-8 --version=v2-alpha --data-disk source=projects/tpu-toys/zones/europe-west4-a/disks/DISK_NAME
Format the partition as described in the guide.
Make sure to set up automatic remount of disk at restart.

Connect VS Code

Find external IP in the UI or with gcloud alpha compute tpus tpu-vm describe INSTANCE_NAME
Verify you can connect in terminal with ssh EXTERNAL_IP -i ~/.ssh/google_compute_engine
Add the same command as ssh host in VS Code.

Check config file

Host INSTANCE_NAME
  HostName EXTERNAL_IP
  IdentityFile ~/.ssh/google_compute_engine

Environment configuration

Use virtual environments (optional)

We recommend using virtual environments (such as conda, venv or pyenv-virtualenv).

If you want to use pyenv and pyenv-virtualenv:

Installation

Set up build environment
Use pyenv-installer: curl https://pyenv.run | bash

bash set-up:

echo '\n'\
    '# pyenv setup \n'\
    'export PYENV_ROOT="$HOME/.pyenv" \n'\
    'export PATH="$PYENV_ROOT/bin:$PATH" \n'\
    'eval "$(pyenv init --path)" \n'\
    'eval "$(pyenv init -)" \n'\
    'eval "$(pyenv virtualenv-init -)"' >> ~/.bashrc

Usage
- Install a python version: pyenv install X.X.X
- Create a virtual environment: pyenv virtualenv 3.9.6 dalle_env
- Activate: pyenv activate dalle_env
  
  Note: you can auto-activate your environment at a location with echo dalle_env >> .python-version

Tools

Git
- `git config --global user.email "[email protected]"
- `git config --global user.name "First Last"
Github CLI
- See installation instructions
- gh auth login

Direnv

Install direnv: sudo apt-get update && sudo apt-get install direnv

bash set-up:

echo -e '\n'\
    '# direnv setup \n'\
    'eval "$(direnv hook bash)" \n' >> ~/.bashrc

Set up repo

Clone repo: gh repo clone borisdayma/dalle-mini
If using pyenv-virtualenv, auto-activate env: echo dalle_env >> .python-version

Environment

Install the following (use it later to update our dev requirements.txt)

requests
pillow
jupyterlab
ipywidgets

-e ../datasets[streaming]
-e ../transformers
-e ../webdataset

# JAX
--find-links https://storage.googleapis.com/jax-releases/libtpu_releases.html
jax[tpu]>=0.2.16
flax

transformers-cli login

set HF_HOME="/mnt/disks/persist/cache/huggingface" in /etc/environment and ensure you have required permissions, then restart.

Working with datasets or models

Install Git LFS
Clone a dataset without large files: GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/datasets/.../...
Use a local credential store for caching credentials
Track specific extentions: git lfs track "*.ext"
See files tracked with LFS with git lfs ls-files