Run scripts for deep learning frameworks (currently targeting TensorFlow code from ANNMINERvA). Currently aimed at local interactive execution and batch submission on the Wilson Cluster at Fermilab.

• mnv_tf_script_gen.py - Produce scripts for training / testing / etc. using the configuration files stored in the Config directory. This script is not meant to be run directly, but is wrapped by one of the training shell scripts.
• tf_examine_tfrecords_local.sh - Examine TFRecrord files (count entries, print event IDs) directly.
• tf_process_hdf5_to_tfrecord_local.sh - Read HDF5 files and produce TFRecord files directly.
• tf_process_txt_to_sqlite_local.sh - Read text files and produce a SQLite database from the information.
• tf_run_local.sh - Run training (wrap mnv_tf_script_gen.py) directly.
• tf_sbatch_process_hdf5_to_tfrecord.sh - Run the production of TFRecord files using tf_slurm_process_hdf5_to_tfrecord.sh in a SLURM batch system.
• tf_sbatch_train_minerva.sh - Run training (wrap mnv_tf_script_gen.py) using a SLURM batch system.
• tf_slurm_process_hdf5_to_tfrecord.sh - Write TFRecord files based on HDF5 input. This script is not meant to be run directly (instead, use tf_sbatch_process_hdf5_to_tfrecord.sh).