lightning/tests/legacy/generate_checkpoints.sh

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#!/bin/bash
# Usage:
# 1. Generate checkpoints with one or more specified PL versions:
# bash generate_checkpoints.sh 1.0.2 1.0.3 1.0.4
# 2. Generate checkpoints with the PL version installed in your environment:
# bash generate_checkpoints.sh
set -e
LEGACY_PATH=$(cd $(dirname $0); pwd -P)
ENV_PATH=$LEGACY_PATH/vEnv
export PYTHONPATH=$(dirname $LEGACY_PATH) # for `import tests_pytorch`
echo LEGACY_PATH: $LEGACY_PATH
echo ENV_PATH: $ENV_PATH
echo PYTHONPATH: $PYTHONPATH
function create_and_save_checkpoint {
python --version
python -m pip --version
python -m pip list
python $LEGACY_PATH/simple_classif_training.py
cp $LEGACY_PATH/simple_classif_training.py $LEGACY_PATH/checkpoints/$pl_ver
mv $LEGACY_PATH/checkpoints/$pl_ver/lightning_logs/version_0/checkpoints/*.ckpt $LEGACY_PATH/checkpoints/$pl_ver/
rm -rf $LEGACY_PATH/checkpoints/$pl_ver/lightning_logs
}
# iterate over all arguments assuming that each argument is version
for pl_ver in "$@"
do
echo processing version: $pl_ver
# Don't install/update anything before activating venv
# to avoid breaking any existing environment.
python -m venv $ENV_PATH
source $ENV_PATH/bin/activate
python -m pip install pytorch_lightning==$pl_ver -r $LEGACY_PATH/requirements.txt -f https://download.pytorch.org/whl/cpu/torch_stable.html
create_and_save_checkpoint
deactivate
rm -rf $ENV_PATH
done
# use the PL installed in the environment if no PL version is specified
if [[ -z "$@" ]]; then
pl_ver=$(python -c "import pytorch_lightning as pl; print(pl.__version__)")
echo processing version: $pl_ver
python -m pip install -r $LEGACY_PATH/requirements.txt
create_and_save_checkpoint
fi