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_FOLDER=$(cd $(dirname $0); pwd -P)
printf "LEGACY_FOLDER: $LEGACY_FOLDER"
TESTS_FOLDER=$(dirname $LEGACY_FOLDER)
ENV_PATH=$LEGACY_FOLDER/vEnv
printf "ENV_PATH: $ENV_PATH"
export PYTHONPATH=$TESTS_FOLDER # for `import tests_pytorch`
printf "PYTHONPATH: $PYTHONPATH"
rm -rf $ENV_PATH
function create_and_save_checkpoint {
python --version
python -m pip --version
python -m pip list
python $LEGACY_FOLDER/simple_classif_training.py $pl_ver
cp $LEGACY_FOLDER/simple_classif_training.py $LEGACY_FOLDER/checkpoints/$pl_ver
mv $LEGACY_FOLDER/checkpoints/$pl_ver/lightning_logs/version_0/checkpoints/*.ckpt $LEGACY_FOLDER/checkpoints/$pl_ver/
rm -rf $LEGACY_FOLDER/checkpoints/$pl_ver/lightning_logs
}
# iterate over all arguments assuming that each argument is version
for pl_ver in "$@"
do
printf "\n\n processing version: $pl_ver\n"
# 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 $LEGACY_FOLDER/requirements.txt \
-r "$(dirname $TESTS_FOLDER)/requirements/pytorch/test.txt" \
-f https://download.pytorch.org/whl/cpu/torch_stable.html
rm -rf $LEGACY_FOLDER/checkpoints/$pl_ver
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
printf "\n\n processing local version\n"
python -m pip install \
-r $LEGACY_FOLDER/requirements.txt \
-r "$(dirname $TESTS_FOLDER)/requirements/pytorch/test.txt" \
-f https://download.pytorch.org/whl/cpu/torch_stable.html
pl_ver="local"
create_and_save_checkpoint
fi