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@ -1,69 +1,173 @@
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#!/bin/bash
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# Executes the runtime in GDB
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# Substitutes the absolute path from the container with a path relatively derived from the location of this script
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# This allows debugging outside of the Docker container
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# Also disables pagination and stopping on SIGUSR1
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experiment_directory=$(pwd)
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echo "$experiment_directory"
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project_directory=$(cd ../../.. && pwd)
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binary_directory=$(cd "$project_directory"/bin && pwd)
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# Copy License Plate Image if not here
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# if [[ ! -f "./plate.jpg" ]]; then
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# cp ../../../tests/sod/bin/plate.jpg ./plate.jpg
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# fi
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if [ "$1" != "-d" ]; then
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PATH="$binary_directory:$PATH" LD_LIBRARY_PATH="$binary_directory:$LD_LIBRARY_PATH" sledgert "$experiment_directory/spec.json" &
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sleep 1
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else
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echo "Running under gdb"
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fi
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expected_size="$(find expected_result.jpg -printf "%s")"
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success_count=0
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total_count=50
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# We are currently unclear why the image classifier isn't working properly
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# Both bmp and png formats are added to the repo while debugging
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file_type=bmp
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# file_type=png
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for class in airplane automobile bird cat deer dog frog horse ship truck; do
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for instance in 1 2 3 4 5 6 7 8 9 10; do
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echo "Classifying $class$instance.$file_type"
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curl -H 'Expect:' -H "Content-Type: Image/$file_type" --data-binary "@images/$file_type/$class$instance.$file_type" localhost:10000 2> /dev/null
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__run_sh__base_path="$(dirname "$(realpath --logical "${BASH_SOURCE[0]}")")"
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__run_sh__bash_libraries_relative_path="../../bash_libraries"
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__run_sh__bash_libraries_absolute_path=$(cd "$__run_sh__base_path" && cd "$__run_sh__bash_libraries_relative_path" && pwd)
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export PATH="$__run_sh__bash_libraries_absolute_path:$PATH"
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source csv_to_dat.sh || exit 1
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source framework.sh || exit 1
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source get_result_count.sh || exit 1
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source panic.sh || exit 1
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source path_join.sh || exit 1
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source validate_dependencies.sh || exit 1
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get_random_image() {
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# local workload="$1"
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local -n __random_image="$1"
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__random_image="${cifar10_images[$((RANDOM % ${#cifar10_images[@]}))]}"
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}
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run_functional_tests() {
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local hostname="$1"
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local results_directory="$2"
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# same_image="./images/bmp/airplane5.bmp"
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printf "Func Tests: \n"
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# Functional Testing on each image
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for image in "${cifar10_images[@]}"; do
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echo "${image}" >> "${results_directory}/cifar10_rand.txt"
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curl --data-binary "@${image}" -s "${hostname}:10000" >> "${results_directory}/cifar10_rand.txt"
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done
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done
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exit
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for ((i = 0; i < total_count; i++)); do
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echo "$i"
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ext="$RANDOM"
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curl -H 'Expect:' -H "Content-Type: image/jpg" --data-binary "@plate.jpg" --output "result_$ext.jpg" localhost:10000 2> /dev/null
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actual_size="$(find result_"$ext".jpg -printf "%s")"
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# echo "$result"
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if [[ "$expected_size" == "$actual_size" ]]; then
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echo "SUCCESS $success_count"
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else
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echo "FAIL"
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echo "Expected Size:"
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echo "$expected_size"
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echo "==============================================="
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echo "Actual Size:"
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echo "$actual_size"
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echo "$same_image" >> "${results_directory}/cifar10_same.txt"
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curl --data-binary "@$same_image" -s "${hostname}:10001" >> "${results_directory}/cifar10_same.txt"
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# file_type=bmp
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# # file_type=png
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# for class in airplane automobile bird cat deer dog frog horse ship truck; do
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# for instance in 1 2 3 4 5 6 7 8 9 10; do
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# echo "Classifying $class$instance.$file_type" >> "${results_directory}/cifar10_rand.txt"
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# curl -H 'Expect:' -H "Content-Type: Image/$file_type" --data-binary "@images/$file_type/$class$instance.$file_type" localhost:10000 >> "${results_directory}/cifar10_rand.txt"
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# done
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# {
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# echo "==== ERROR RATE: x/10 ====" # the 'x' is to be coded
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# echo ""
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# echo ""
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# } >> "${results_directory}/cifar10_rand.txt"
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# done
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printf "[OK]\n"
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}
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run_perf_tests() {
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local hostname="$1"
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local results_directory="$2"
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local -ir total_iterations=100
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local -ir worker_max=10
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local -ir batch_size=10
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local -i batch_id=0
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local image
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local pids
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printf "Perf Tests: \n"
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for workload in "${workloads[@]}"; do
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batch_id=0
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for ((i = 0; i < total_iterations; i += batch_size)); do
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# Block waiting for a worker to finish if we are at our max
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while (($(pgrep --count hey) >= worker_max)); do
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wait -n "$(pgrep hey | tr '\n' ' ')"
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done
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((batch_id++))
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if [ "$workload" = "cifar10_rand" ]; then
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get_random_image image
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else
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image=$same_image
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fi
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hey -disable-compression -disable-keepalive -disable-redirects -n $batch_size -c 1 -cpus 1 -t 0 -o csv -m GET -D "${image}" "http://${hostname}:${port[$workload]}" > "$results_directory/${workload}_${batch_id}.csv" 2> /dev/null &
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# curl --data-binary "@$image" --output - "${hostname}:${port[$workload]}" >> "${results_directory}/${workload}-2.txt"
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done
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pids=$(pgrep hey | tr '\n' ' ')
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[[ -n $pids ]] && wait -f $pids
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done
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printf "[OK]\n"
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for workload in "${workloads[@]}"; do
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tail --quiet -n +2 "$results_directory/${workload}"_*.csv >> "$results_directory/${workload}.csv"
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rm "$results_directory/${workload}"_*.csv
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done
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}
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# Process the experimental results and generate human-friendly results for success rate, throughput, and latency
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process_results() {
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if (($# != 1)); then
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error_msg "invalid number of arguments ($#, expected 1)"
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return 1
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elif ! [[ -d "$1" ]]; then
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error_msg "directory $1 does not exist"
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return 1
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fi
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done
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echo "$success_count / $total_count"
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local -r results_directory="$1"
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printf "Processing Results: \n"
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# Write headers to CSVs
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printf "Payload,p50,p90,p99,p100\n" >> "$results_directory/latency.csv"
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for workload in "${workloads[@]}"; do
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# Filter on 200s, subtract DNS time, convert from s to ms, and sort
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awk -F, '$7 == 200 {print (($1 - $2) * 1000)}' < "$results_directory/$workload.csv" \
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| sort -g > "$results_directory/$workload-response.csv"
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oks=$(wc -l < "$results_directory/$workload-response.csv")
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((oks == 0)) && continue # If all errors, skip line
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# Generate Latency Data for csv
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awk '
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BEGIN {
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sum = 0
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p50 = int('"$oks"' * 0.5)
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p90 = int('"$oks"' * 0.9)
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p99 = int('"$oks"' * 0.99)
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p100 = '"$oks"'
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printf "'"$workload"',"
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}
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NR==p50 {printf "%1.4f,", $0}
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NR==p90 {printf "%1.4f,", $0}
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NR==p99 {printf "%1.4f,", $0}
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NR==p100 {printf "%1.4f\n", $0}
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' < "$results_directory/$workload-response.csv" >> "$results_directory/latency.csv"
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# Delete scratch file used for sorting/counting
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rm -rf "$results_directory/$workload-response.csv"
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done
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# Transform csvs to dat files for gnuplot
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csv_to_dat "$results_directory/latency.csv"
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printf "[OK]\n"
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return 0
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}
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experiment_main() {
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local -r hostname="$1"
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local -r results_directory="$2"
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local same_image # for the cifar10_same workload
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get_random_image same_image
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run_functional_tests "$hostname" "$results_directory" || return 1
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run_perf_tests "$hostname" "$results_directory" || return 1
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process_results "$results_directory" || return 1
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}
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validate_dependencies curl
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declare -ar workloads=(cifar10_rand cifar10_same)
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declare -Ar port=(
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[cifar10_rand]=10000
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[cifar10_same]=10001
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)
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# Sort the images by the number of labeled plates
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declare -a cifar10_images=(./images/bmp/*)
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if [ "$1" != "-d" ]; then
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sleep 5
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echo -n "Running Cleanup: "
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rm result_*.jpg
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pkill sledgert > /dev/null 2> /dev/null
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echo "[DONE]"
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fi
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main "$@"
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