Things to do

CI

replace CI with constantly running GCP instance

TODO

general:

check if --jobid=$SLURM_JOB is actually needed in the slurm script - especially when doing it interactively
add alerts for loss spikes
check that my syncing script doesn't sync deleted files, should SCRATCH wipe something out that is already on the hub!
update deepspeed_to_transformers.py to require a specific version once a new version of transformers is released and then update the doc https://github.com/bigscience-workshop/bigscience/tree/master/train/tr1-13B-base#checkpoint-conversion-and-upload
see if can speed up the meg cuda kernels building https://huggingface.slack.com/archives/C01NHER1JLS/p1630520151064500?thread_ts=1630473623.060700&cid=C01NHER1JLS
since we are starting to tweak the seed, we should start logging the ranges of iteration for each seed, so that down the road we could reproduce the data.
test 1.3b with final config using tr7d as a base line: https://github.com/bigscience-workshop/bigscience/blob/cfdd69b89118a77567ee87b5a181c233fffef377/train/tr7-alibi/tr7d-1B3-modeling-alibi.slurm

sysadmin

conda packages

currently each one of us has a copy of the same conda packages:

conda config --show pkgs_dirs envs_dirs and the output is:
pkgs_dirs:
  - /gpfslocalsup/pub/anaconda-py3/2020.02/pkgs
  - /linkhome/rech/genhug01/uue59kq/.conda/pkgs
envs_dirs:
  - /gpfswork/rech/six/commun/conda
  - /linkhome/rech/genhug01/uue59kq/.conda/envs
  - /gpfslocalsup/pub/anaconda-py3/2020.02/envs

we should aggregate them under the same dir.

probably need to find out the right env var (best) or ~/.condarc (less good) and point it to the shared conda env.

also document in the getting started docs to make sure new users don't end up with ~/.conda dir which uses up their HOME dir to 100%.