X-Git-Url: https://www.fleuret.org/cgi-bin/gitweb/gitweb.cgi?p=dyncnn.git;a=blobdiff_plain;f=run.sh;h=890c2e07009cef06c0742c5c2a3536e5a32e2627;hp=c6f269037f24dd9516fc877fb60c28e0859510b4;hb=51142591389a8119a337813899ae26d682e9f13d;hpb=a79fda5dc501909019e40b185760be3fbaa4d12d

diff --git a/run.sh b/run.sh
index c6f2690..890c2e0 100755
--- a/run.sh
+++ b/run.sh
@@ -55,8 +55,8 @@ fi
 # Train the model (~30h on a GTX1080)
 
 if [[ ! -f "${DYNCNN_RESULT_DIR}"/epoch_01000_model ]]; then
-    ./dyncnn.lua --heavy --dataDir="${DYNCNN_DATA_DIR}" \
-                 --resultFreq=100 \
+    ./dyncnn.lua --heavy --dataDir "${DYNCNN_DATA_DIR}" \
+                 --resultFreq 100 \
                  --resultDir "${DYNCNN_RESULT_DIR}" \
                  --nbEpochs 1000
 fi
@@ -65,11 +65,11 @@ fi
 # Create the images of internal activations
 
 for n in 2 12; do
-    ./dyncnn.lua --heavy --dataDir=./data/10p-mg/ \
-                 --learningStateFile="${DYNCNN_RESULT_DIR}"/epoch_01000_model \
-                 --resultDir="${DYNCNN_RESULT_DIR}" \
+    ./dyncnn.lua --heavy --dataDir ./data/10p-mg/ \
+                 --learningStateFile "${DYNCNN_RESULT_DIR}"/epoch_01000_model \
+                 --resultDir "${DYNCNN_RESULT_DIR}" \
                  --noLog \
-                 --exampleInternals=${n}
+                 --exampleInternals ${n}
 done
 
 ######################################################################