| # | |
| # file: run_demo.sh | |
| # | |
| # This is a simple driver script that runs training and then decoding | |
| # on the training set and the val set. | |
| # | |
| # To run this script, execute the following line: | |
| # | |
| # run_demo.sh train.dat val.dat | |
| # | |
| # The first argument ($1) is the training data. The last two arguments, | |
| # test data ($2) and evaluation data ($3) are optional. | |
| # | |
| # An example of how to run this is as follows: | |
| # | |
| # xzt: echo $PWD | |
| # /home/xzt/SOGMP | |
| # xzt: sh run_demo.sh ~/semantic2d_data/ | |
| # | |
| # decode the number of command line arguments | |
| # | |
| NARGS=$# | |
| if (test "$NARGS" -eq "0") then | |
| echo "usage: run_demo.sh test.dat" | |
| exit 1 | |
| fi | |
| # define a base directory for the experiment | |
| # | |
| DL_EXP=`pwd`; | |
| DL_SCRIPTS="$DL_EXP/scripts"; | |
| DL_OUT="$DL_EXP/output"; | |
| # define the output directories for training/decoding/scoring | |
| # | |
| #DL_TRAIN_ODIR="$DL_OUT/00_train"; | |
| DL_TRAIN_ODIR="$DL_EXP/model"; | |
| DL_MDL_PATH="$DL_TRAIN_ODIR/s3_net_model.pth"; | |
| # evaluate each data set that was specified | |
| # | |
| echo "... starting evaluation of $1..." | |
| $DL_SCRIPTS/decode_demo.py $DL_MDL_PATH $1 | \ | |
| tee $DL_OUT/01_decode_dev.log | grep "00 out of\|Average" | |
| echo "... finished evaluation of $1 ..." | |
| echo "======= end of results =======" | |
| # | |
| # exit gracefully |