projects
/
dyncnn.git
/ commitdiff
commit
grep
author
committer
pickaxe
?
search:
re
summary
|
shortlog
|
log
|
commit
| commitdiff |
tree
raw
|
patch
|
inline
| side by side (parent:
a79fda5
)
Cosmetics.
author
Francois Fleuret
<fleuret@elk.fleuret.org>
Fri, 21 Oct 2016 06:22:27 +0000
(08:22 +0200)
committer
Francois Fleuret
<fleuret@elk.fleuret.org>
Fri, 21 Oct 2016 06:22:27 +0000
(08:22 +0200)
run.sh
patch
|
blob
|
history
diff --git
a/run.sh
b/run.sh
index
c6f2690
..
890c2e0
100755
(executable)
--- a/
run.sh
+++ b/
run.sh
@@
-55,8
+55,8
@@
fi
# Train the model (~30h on a GTX1080)
if [[ ! -f "${DYNCNN_RESULT_DIR}"/epoch_01000_model ]]; then
# Train the model (~30h on a GTX1080)
if [[ ! -f "${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 "${DYNCNN_RESULT_DIR}" \
--nbEpochs 1000
fi
--resultDir "${DYNCNN_RESULT_DIR}" \
--nbEpochs 1000
fi
@@
-65,11
+65,11
@@
fi
# Create the images of internal activations
for n in 2 12; do
# 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 \
--noLog \
- --exampleInternals
=
${n}
+ --exampleInternals
${n}
done
######################################################################
done
######################################################################