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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
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