job_polymnist

#!/usr/bin/env bash
set -eo pipefail
shopt -s nullglob globstar

# define TMPDIR, if it's empty
if [[ -z "$TMPDIR" ]]; then
    TMPDIR="/tmp"
fi
echo "TMPDIR: $TMPDIR"

# activate conda env
eval "$(conda shell.bash hook)"
conda activate mopoe
echo "CONDA_PREFIX: $CONDA_PREFIX"

METHOD="joint_elbo"  # NOTE: valid options are "joint_elbo", "poe", and "moe"
LIKELIHOOD="laplace"
DIR_DATA="$PWD/data"
DIR_EXPERIMENT="$PWD/runs/tmp"  # NOTE: experiment logs are written here
PATH_INC_V3="$PWD/pt_inception-2015-12-05-6726825d.pth"
DIR_FID="$TMPDIR/MMNIST"

python main_mmnist.py \
            --unimodal-datapaths-train "$DIR_DATA/MMNIST/train/m"{0..4} \
            --unimodal-datapaths-test "$DIR_DATA/MMNIST/test/m"{0..4} \
            --pretrained-classifier-paths "$PWD/trained_classifiers/trained_clfs_polyMNIST/pretrained_img_to_digit_clf_m"{0..4} \
            --dir_experiment="$DIR_EXPERIMENT" \
            --inception_state_dict="$PATH_INC_V3" \
            --dir_fid="$DIR_FID" \
            --method=$METHOD \
            --style_dim=0 \
            --class_dim=512 \
            --beta=2.5 \
            --likelihood=$LIKELIHOOD \
            --batch_size=256 \
            --initial_learning_rate=0.0005 \
            --eval_freq=25 \
            --eval_freq_fid=100 \
            --data_multiplications=20 \
            --num_hidden_layers=1 \
            --end_epoch=300 \
            --use_clf \
            --eval_lr \
            --calc_prd \
            --calc_nll \