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Shell scripts

We provide several shell scripts for easy managing the experiments.

File Description
download_data.sh Download the training data
generate_data.sh Generate data from a set of midi files
process_data.sh Save the training data to shared memory
download_models.sh Download the pretrained models
setup_exp.sh Set up a new experiment with default settings
run_train.sh Train a model
run_inference.sh Run inference from a trained model
run_interpolation.sh Run interpolation from a trained model
run_exp.sh Run an experiment (training + inference + interpolation)
rerun_exp.sh Rerun an experiment (training + inference + interpolation)

Below we assume the working directory is the repository root.

Download the training data

./scripts/download_data.sh

This command will download the training data to the default data directory (./data/).

Generate a dataset from a set of midi files

./scripts/generate_data.sh "./music_dir/"

This command will generate training data from a given directory (./music_dir/) by looking for all the files in that directory that end wih .mid and converting them to a five track pianoroll dataset.

Save the training data to shared memory

./scripts/process_data.sh

This command will store the training data to shared memory using SharedArray package.

Download the pretrained models

./scripts/download_models.sh

This command will download the pretrained models to the default experiment directory (./exp/).

Set up a new experiment with default settings

./scripts/setup_exp.sh "./exp/my_experiment/" "Some notes"

This command will create a new experiment directory at the given path (./exp/my_experiment/), copy the default configuration and model parameter files to that folder and save the experiment note ("Some notes") as a text file in that folder.

Train a model

./scripts/run_train.sh "./exp/my_experiment/" "0"

This command will look for the configuration and model parameter files in the given experiment directory (./exp/my_experiment/) and train a model according to the configurations and parameters on the specified GPU ("0").

Run inference from a trained model

./scripts/run_inference.sh "./exp/my_experiment/" "0"

This command will look for the configuration and model parameter files in the given experiment directory (./exp/my_experiment/) and run inference from the trained model on the specified GPU ("0").

Run interpolation from a trained model

./scripts/run_interpolation.sh "./exp/my_experiment/" "0"

This command will look for the configuration and model parameter files in the given experiment directory (./exp/my_experiment/) and run interpolation from the trained model on the specified GPU ("0").

Run an experiment (train + inference + interpolation)

We provide a simple wrapper for a typical experiment scenario—first we train a model and then we run inference and interpolation from the trained model. In this case, you can simply run the following command.

./scripts/run_exp.sh "./exp/my_experiment/" "0"

This command will look for the configuration and model parameter files in the given experiment directory (./exp/my_experiment/) and run the experiment (train, inference and interpolation) on the specified GPU ("0").

Rerun an experiment (train + inference + interpolation)

./scripts/rerun_exp.sh "./exp/my_experiment/" "0"

This command will remove everything in the experiment directory except the configuration and model parameter files and then rerun the experiment (train, inference and interpolation) on the specified GPU ("0").