Created
November 19, 2018 02:04
-
-
Save EXJUSTICE/aef67767c0680926c535398f24f984be to your computer and use it in GitHub Desktop.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
_conv_array=(1 2 3 4 5) | |
N_h_array=(1 2 3 4 5) | |
Atom_fea_len_array=(8 16 32 64 128 256) | |
H_fea_len_array=( 8 16 32 64 128 256 ) | |
Optim_array=('SGD' 'Adam') | |
Batch_size_array=( 128 256 ) | |
Loss_array=("MSELoss" "L1Loss") | |
read -p "Which GPU? " gpu | |
export CUDA_VISIBLE_DEVICES=$gpu | |
for i in {1..20} | |
do | |
n_conv=${N_conv_array[$((RANDOM%5))]} | |
n_h=${N_h_array[$((RANDOM%5))]} | |
atom_fea_len=${Atom_fea_len_array[$((RANDOM%6))]} | |
h_fea_len=${H_fea_len_array[$((RANDOM%6))]} | |
weight_decay=($(bc -l <<< "${RANDOM} / 32767")) | |
dropout=($(bc -l <<< "${RANDOM} / 32767")) | |
optim=${Optim_array[$((RANDOM%2))]} | |
batch_size=${Batch_size_array[$((RANDOM%2))]} | |
loss=${Loss_array[$((RANDOM%2))]} | |
momentum=($(bc -l <<< "${RANDOM} / 32767")) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment