X-Git-Url: https://www.fleuret.org/cgi-bin/gitweb/gitweb.cgi?p=dyncnn.git;a=blobdiff_plain;f=run.sh;h=3f8529d5714de4daa3e9884285adc0c3c3b6a154;hp=fe3a2e2342a65cdd57f7a728d5de266ab1d71b9a;hb=HEAD;hpb=5cbea5ca8a26719be70c974fab505e5b8695d9e4

diff --git a/run.sh b/run.sh
index fe3a2e2..3f8529d 100755
--- a/run.sh
+++ b/run.sh
@@ -31,6 +31,8 @@ set -o pipefail
 [[ "${DYNCNN_DATA_DIR}" ]] || DYNCNN_DATA_DIR="./data/10p-mg"
 [[ "${DYNCNN_RUNDIR}" ]] || DYNCNN_RUNDIR="./results"
 
+NB_EPOCHS=2000
+
 if [[ ! -d "${DYNCNN_DATA_DIR}" ]]; then
     # Creating the data-base
     make -j -k
@@ -45,13 +47,21 @@ fi
 # Train the model (2000 epochs takes 30h on a GTX 1080 with cuda 8.0,
 # cudnn 5.1, and recent torch)
 
-if [[ ! -f "${DYNCNN_RUNDIR}"/scheme_02000.t7 ]]; then
-    ./dyncnn.lua -rundir "${DYNCNN_RUNDIR}"
+if [[ -f "$(printf "%s/model_%04d.t7" "${DYNCNN_RUNDIR}" ${NB_EPOCHS})" ]]; then
+    echo "Found the model already trained through ${NB_EPOCHS} epochs."
+else
+    ./dyncnn.lua -nbEpochs ${NB_EPOCHS} -rundir "${DYNCNN_RUNDIR}"
 fi
 
 # Create the images of internal activations using the current.t7 in
 # the rundir
 
+    cat <<EOF
+***************************************************************************
+               Creates the images of internal activations
+***************************************************************************
+EOF
+
 ./dyncnn.lua -rundir "${DYNCNN_RUNDIR}" -noLog -exampleInternals 3,7
 
 ######################################################################
@@ -60,7 +70,7 @@ fi
 if [[ $(which gnuplot) ]]; then
     cat <<EOF
 ***************************************************************************
-                           Plot the loss curves
+                         Plots the loss curves
 ***************************************************************************
 EOF
 
@@ -75,8 +85,8 @@ set logscale y
 set size ratio 0.75
 set xlabel "Number of epochs"
 set ylabel "Loss"
-plot '< grep "LOSS " "${DYNCNN_RUNDIR}"/log' using 4:6 with l lw 3 lc rgb '#c0c0ff' title 'Validation loss',\
-     '< grep "LOSS " "${DYNCNN_RUNDIR}"/log' using 4:5 with l lw 1 lc rgb '#000000' title 'Train loss'
+plot '< grep "acc_train_loss" "${DYNCNN_RUNDIR}"/log' using 4:8 with l lw 3 lc rgb '#c0c0ff' title 'Validation loss',\
+     '< grep "acc_train_loss" "${DYNCNN_RUNDIR}"/log' using 4:6 with l lw 1 lc rgb '#000000' title 'Train loss'
 
 EOF