test_all_test script save results in separate files

This commit is contained in:
Francesco Gatti
2022-03-30 15:47:41 +02:00
parent 3bcc32ffdc
commit 7c0620e391
2 changed files with 47 additions and 43 deletions
+43 -39
View File
@@ -1,6 +1,6 @@
#!/bin/bash
cd build
#cd build
RED='\033[1;31m'
GREEN='\033[1;32m'
@@ -29,24 +29,28 @@ function print_output {
}
out_dir=results
out_file=results.log
rm $out_file
rm -rf $out_dir/
mkdir -p $out_dir
function test_net {
./test_$1 &>> $out_file
./test_$1 &> $out_dir/$1_${TKDNN_MODE}_build_$out_file
print_output $? $1
./test_rtinference $1*.rt $TKDNN_BATCHSIZE &>> $out_file
./test_rtinference $1*.rt 1 &> $out_dir/$1_${TKDNN_MODE}_inference_batch1_$out_file
print_output $? "infer $1"
./test_rtinference $1*.rt $TKDNN_BATCHSIZE &> $out_dir/$1_${TKDNN_MODE}_inference_batch${TKDNN_BATCHSIZE}_$out_file
print_output $? "batched $1"
}
modes=( 1 ) # only FP32
# modes=( 1 2 ) # FP32 and FP16
# modes=( 1 ) # only FP32
modes=( 1 2 ) # FP32 and FP16
# modes=( 1 2 3 ) # FP32, FP16 and INT8
for i in "${modes[@]}"
do
rm *rt
rm -f *rt
if [ $i -eq 1 ]
then
export TKDNN_MODE=FP32
@@ -73,37 +77,37 @@ do
# print_output $? imuodom
test_net yolo4
test_net yolo4_320
test_net yolo4_320_coco2
test_net yolo4_512
test_net yolo4_608
test_net yolo4-csp
test_net yolo4x
test_net yolo4_berkeley
test_net yolo4_berkeley_f1
test_net yolo4tiny
test_net yolo4tiny_512
test_net yolo3
test_net yolo3_berkeley
test_net yolo3_coco4
test_net yolo3_flir
test_net yolo3_512
test_net yolo3tiny
test_net yolo3tiny_512
test_net yolo2
test_net yolo2_voc
#test_net yolo2tiny
test_net csresnext50-panet-spp
#test_net csresnext50-panet-spp_berkeley
test_net resnet101_cnet
test_net dla34_cnet
test_net dla34_cnet3d
test_net mobilenetv2ssd
test_net mobilenetv2ssd512
test_net bdd-mobilenetv2ssd
test_net dla34_ctrack
test_net shelfnet
test_net shelfnet_berkeley
# test_net yolo4_320
# test_net yolo4_320_coco2
# test_net yolo4_512
# test_net yolo4_608
# test_net yolo4-csp
# test_net yolo4x
# test_net yolo4_berkeley
# test_net yolo4_berkeley_f1
# test_net yolo4tiny
# test_net yolo4tiny_512
# test_net yolo3
# test_net yolo3_berkeley
# test_net yolo3_coco4
# test_net yolo3_flir
# test_net yolo3_512
# test_net yolo3tiny
# test_net yolo3tiny_512
# test_net yolo2
# test_net yolo2_voc
# test_net yolo2tiny
# test_net csresnext50-panet-spp
# test_net csresnext50-panet-spp_berkeley
# test_net resnet101_cnet
# test_net dla34_cnet
# test_net dla34_cnet3d
# test_net mobilenetv2ssd
# test_net mobilenetv2ssd512
# test_net bdd-mobilenetv2ssd
# test_net dla34_ctrack
# test_net shelfnet
# test_net shelfnet_berkeley
done
echo "If errors occured, check logfile $out_file"
echo "If errors occured, check logfiles in directory: $out_dir"
+4 -4
View File
@@ -1,6 +1,6 @@
#include<iostream>
#include<algorithm>
#include "tkdnn.h"
#include "tkDNN/tkdnn.h"
#include <stdlib.h> /* srand, rand */
@@ -66,11 +66,11 @@ int main(int argc, char *argv[]) {
}
}
double min = *std::min_element(stats.begin(), stats.end())/BATCH_SIZE;
double max = *std::max_element(stats.begin(), stats.end())/BATCH_SIZE;
double min = *std::min_element(stats.begin(), stats.end()); ///BATCH_SIZE;
double max = *std::max_element(stats.begin(), stats.end()); ///BATCH_SIZE;
double mean =0;
for(int i=0; i<stats.size(); i++) mean += stats[i]; mean /= stats.size();
mean /=BATCH_SIZE;
//mean /=BATCH_SIZE;
std::cout<<"Min: "<<min<<" ms\n";
std::cout<<"Max: "<<max<<" ms\n";