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