function gen_prime () {
  exp_name=${1%.*}
  n_samples=$2
  sample_length=$3
  primer=$4
  primer_a=${5:-"0"}
  primer_b=${6:-"0"}
  recursive=${7:-"False"}

  sleep 0.1
  echo ""
  echo "___________________________________________________"
  echo ">> generating $exp_name"
  echo ""
  CUDA_LAUNCH_BLOCKING=1 python generate.py \
    --exp $exp_name --dataset $exp_name \
    --frame_sizes 8 2                   \
    --n_rnn 2 --dim 1024 --q_levels 256 \
    --seq_len 1024 --batch_size 128     \
    --val_frac 0.1 --test_frac 0.1      \
    --sample_rate 44100                 \
    --sample_length $sample_length      \
    --keep_old_checkpoints False        \
    --n_samples $n_samples              \
    --epoch_limit 1                     \
    --primer $primer                    \
    --primer_a $primer_a                \
    --primer_b $primer_b                \
    --recursive $recursive              \
    --resume True
    # --cuda False                        \

  # tag="${primer}" # _${sample_length}"
  
  # if [ "$primer_a" != "0" ]
  # then
  #   tag="${tag}_${primer_a}"
  # fi
  # if [ "$primer_b" != "0" ]
  # then
  #   tag="${tag}_${primer_b}"
  # fi
  # if [ "$recursive" = "True" ]
  # then
  #   tag="${tag}_recursive"
  # fi
  # tag="${tag}_longsubsequence"
  # echo "__________________"
  # echo ">> saving $exp_name - $tag"
}

function gen_prime_set () {
  # gen_prime $1 6 44100 'zero'
  # gen_prime $1 6 44100 'noise'
  # gen_prime $1 6 44100 'sin' 440
  # gen_prime $1 6 44100 'noise' 0 0 True
  gen_prime $1 6 22050 'spike' 440 0 True
  ./latest.pl -n 'fixed_gradient' -l $exp_name
}

gen_prime_set jwcglassbeat
# gen_prime_set neuralacid_solo
# gen_prime_set snaps_grain