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unit_tester.sh
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unit_tester.sh
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#!/bin/bash
# Performs build and search test on disk and memory indices (parameters are tuned for 100K-1M sized datasets)
# All indices and logs will be stored in working_folder after run is complete
# To run, create a catalog text file consisting of the following entries
# For each dataset, specify the following 5 lines, in a line by line format, and then move on to next dataset
# dataset_name[used for save file names]
# /path/to/base.bin
# /path/to/query.bin
# data_type[float/uint8/int8]
# metric[l2/mips]
if [ "$#" -ne "3" ]; then
echo "usage: ./unit_test.sh [build_folder_path] [catalog] [working_folder]"
else
BUILD_FOLDER=${1}
CATALOG1=${2}
WORK_FOLDER=${3}
mkdir ${WORK_FOLDER}
CATALOG="${WORK_FOLDER}/catalog_formatted.txt"
sed -e '/^$/d' ${CATALOG1} > ${CATALOG}
echo Running unit testing on various files, with build folder as ${BUILD_FOLDER} and working folder as ${WORK_FOLDER}
# download all unit test files
#iterate over them and run the corresponding test
while IFS= read -r line; do
DATASET=${line}
read -r BASE
read -r QUERY
read -r TYPE
read -r METRIC
GT="${WORK_FOLDER}/${DATASET}_gt30_${METRIC}"
MEM="${WORK_FOLDER}/${DATASET}_mem"
DISK="${WORK_FOLDER}/${DATASET}_disk"
MBLOG="${WORK_FOLDER}/${DATASET}_mb.log"
DBLOG="${WORK_FOLDER}/${DATASET}_db.log"
MSLOG="${WORK_FOLDER}/${DATASET}_ms.log"
DSLOG="${WORK_FOLDER}/${DATASET}_ds.log"
FILESIZE=`wc -c "${BASE}" | awk '{print $1}'`
BUDGETBUILD=`bc <<< "scale=4; 0.0001 + ${FILESIZE}/(5*1024*1024*1024)"`
BUDGETSERVE=`bc <<< "scale=4; 0.0001 + ${FILESIZE}/(10*1024*1024*1024)"`
echo "============================================================================================================================================="
echo "Running apps on ${DATASET} dataset, ${TYPE} datatype, $METRIC metric, ${BUDGETBUILD} GiB and ${BUDGETSERVE} GiB build and serve budget"
echo "============================================================================================================================================="
rm ${DISK}_*
#echo "Going to run test on ${BASE} base, ${QUERY} query, ${TYPE} datatype, ${METRIC} metric, saving gt at ${GT}"
echo "Computing Groundtruth"
#${BUILD_FOLDER}/apps/utils/compute_groundtruth ${TYPE} ${BASE} ${QUERY} 30 ${GT} ${METRIC} > /dev/null
${BUILD_FOLDER}/apps/utils/compute_groundtruth --data_type ${TYPE} --base_file ${BASE} --query_file ${QUERY} --K 30 --gt_file ${GT} --dist_fn ${METRIC} > /dev/null
echo "Building Mem Index"
# /usr/bin/time ${BUILD_FOLDER}/apps/build_memory_index ${TYPE} ${METRIC} ${BASE} ${MEM} 32 50 1.2 0 > ${MBLOG}
/usr/bin/time ${BUILD_FOLDER}/apps/build_memory_index --data_type ${TYPE} --dist_fn ${METRIC} --data_path ${BASE} --index_path_prefix ${MEM} -R 32 -L 50 --alpha 1.2 -T 0 > ${MBLOG}
awk '/^Degree/' ${MBLOG}
awk '/^Indexing/' ${MBLOG}
echo "Searching Mem Index"
${BUILD_FOLDER}/apps/search_memory_index --data_type ${TYPE} --dist_fn ${METRIC} --index_path_prefix ${MEM} -T 16 --query_file ${QUERY} --gt_file ${GT} -K 10 --result_path /tmp/res -L 10 20 30 40 50 60 70 80 90 100 > ${MSLOG}
awk '/===/{x=NR+10}(NR<=x){print}' ${MSLOG}
echo "Building Disk Index"
${BUILD_FOLDER}/apps/build_disk_index --data_type ${TYPE} --dist_fn ${METRIC} --data_path ${BASE} --index_path_prefix ${DISK} -R 32 -L 50 -B ${BUDGETSERVE} -M ${BUDGETBUILD} -T 32 --PQ_disk_bytes 0 > ${DBLOG}
awk '/^Compressing/' ${DBLOG}
echo "#shards in disk index"
awk '/^Indexing/' ${DBLOG}
echo "Searching Disk Index"
${BUILD_FOLDER}/apps/search_disk_index --data_type ${TYPE} --dist_fn ${METRIC} --index_path_prefix ${DISK} --num_nodes_to_cache 10000 -T 10 -W 4 --query_file ${QUERY} --gt_file ${GT} -K 10 --result_path /tmp/res -L 20 40 60 80 100 > ${DSLOG}
echo "# shards used during index construction:"
awk '/medoids/{x=NR+1}(NR<=x){print}' ${DSLOG}
awk '/===/{x=NR+10}(NR<=x){print}' ${DSLOG}
done < "${CATALOG}"
fi