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tests: Add Pytorch performance test
This PR adds Pytorch performance test for kata metrics. Signed-off-by: Gabriela Cervantes <gabriela.cervantes.tellez@intel.com>
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tests/metrics/machine_learning/pytorch.sh
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160
tests/metrics/machine_learning/pytorch.sh
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#!/bin/bash
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#
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# Copyright (c) 2023 Intel Corporation
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#
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# SPDX-License-Identifier: Apache-2.0
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set -e
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# General env
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SCRIPT_PATH=$(dirname "$(readlink -f "$0")")
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source "${SCRIPT_PATH}/../lib/common.bash"
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IMAGE="docker.io/library/pytorch:latest"
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DOCKERFILE="${SCRIPT_PATH}/pytorch_dockerfile/Dockerfile"
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equation_pytorch_file=$(mktemp pytorchresults.XXXXXXXXXX)
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isoneural_pytorch_file=$(mktemp pytorchresults.XXXXXXXXXX)
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NUM_CONTAINERS="$1"
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TIMEOUT="$2"
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TEST_NAME="pytorch"
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CMD_RUN="cd pyhpc-benchmarks-3.0 && python run.py benchmarks/equation_of_state --burnin 20 --device cpu -b pytorch -s 524288 > LOG"
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CMD_RUN_ISONEURAL="cd pyhpc-benchmarks-3.0 && python run.py benchmarks/isoneutral_mixing --burnin 20 --device cpu -b pytorch -s 524288 > LOG"
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CMD_RESULT="cd pyhpc-benchmarks-3.0 && cat LOG"
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CMD_FILE="cat pyhpc-benchmarks-3.0/LOG | grep 'seconds' | wc -l"
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PAYLOAD_ARGS="tail -f /dev/null"
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function remove_tmp_file() {
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rm -rf "${equation_pytorch_file}" "${isoneural_pytorch_file}"
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}
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trap remove_tmp_file EXIT
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function check_containers_are_up() {
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local containers_launched=0
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for i in $(seq "${TIMEOUT}") ; do
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info "Verify that the containers are running"
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containers_launched="$(sudo ${CTR_EXE} t list | grep -c "RUNNING")"
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[ "${containers_launched}" -eq "${NUM_CONTAINERS}" ] && break
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sleep 1
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[ "${i}" == "${TIMEOUT}" ] && return 1
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done
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}
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function equation_of_state_pytorch_test() {
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info "Running Equation of State Pytorch test"
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for i in "${containers[@]}"; do
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sudo -E "${CTR_EXE}" t exec -d --exec-id "$(random_name)" "${i}" sh -c "${CMD_RUN}"
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done
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for i in "${containers[@]}"; do
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check_file=$(sudo -E "${CTR_EXE}" t exec --exec-id "$(random_name)" "${i}" sh -c "${CMD_FILE}")
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retries="200"
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for j in $(seq 1 "${retries}"); do
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[ "${check_file}" -eq 1 ] && break
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sleep 1
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done
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done
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for i in "${containers[@]}"; do
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sudo -E "${CTR_EXE}" t exec --exec-id "$(random_name)" "${i}" sh -c "${CMD_RESULT}" >> "${equation_pytorch_file}"
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done
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local equation_pytorch_results=$(cat "${equation_pytorch_file}" | grep pytorch | sed '/Using pytorch version/d' | awk '{print $4}' | tr '\n' ',' | sed 's/.$//')
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local equation_average_pytorch=$(echo "${equation_pytorch_results}" | sed "s/,/+/g;s/.*/(&)\/$NUM_CONTAINERS/g" | bc -l)
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local json="$(cat << EOF
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{
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"Pytorch Equation of State": {
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"Result": "${equation_pytorch_results}",
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"Average": "${equation_average_pytorch}",
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"Units": "s"
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}
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}
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EOF
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)"
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metrics_json_add_array_element "$json"
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}
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function isoneural_pytorch_test() {
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info "Running Isoneural Pytorch test"
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for i in "${containers[@]}"; do
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sudo -E "${CTR_EXE}" t exec -d --exec-id "$(random_name)" "${i}" sh -c "${CMD_RUN_ISONEURAL}"
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done
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for i in "${containers[@]}"; do
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check_file=$(sudo -E "${CTR_EXE}" t exec --exec-id "$(random_name)" "${i}" sh -c "${CMD_FILE}")
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retries="200"
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for j in $(seq 1 "${retries}"); do
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[ "${check_file}" -eq 1 ] && break
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sleep 1
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done
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done
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for i in "${containers[@]}"; do
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sudo -E "${CTR_EXE}" t exec --exec-id "$(random_name)" "${i}" sh -c "${CMD_RESULT}" >> "${isoneural_pytorch_file}"
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done
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local isoneural_pytorch_results=$(cat "${isoneural_pytorch_file}" | grep pytorch | sed '/Using pytorch version/d' | awk '{print $4}' | tr '\n' ',' | sed 's/.$//')
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local isoneural_average_pytorch=$(echo "${isoneural_pytorch_results}" | sed "s/,/+/g;s/.*/(&)\/$NUM_CONTAINERS/g" | bc -l)
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local json="$(cat << EOF
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{
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"Pytorch Isoneural": {
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"Result": "${isoneural_pytorch_results}",
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"Average": "${isoneural_average_pytorch}",
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"Units": "s"
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}
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}
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EOF
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)"
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metrics_json_add_array_element "$json"
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metrics_json_end_array "Results"
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}
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function main() {
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# Verify enough arguments
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if [ $# != 2 ]; then
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echo >&2 "error: Not enough arguments [$@]"
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help
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exit 1
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fi
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local i=0
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local containers=()
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local not_started_count="${NUM_CONTAINERS}"
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# Check tools/commands dependencies
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cmds=("awk" "docker" "bc")
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check_cmds "${cmds[@]}"
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check_ctr_images "${IMAGE}" "${DOCKERFILE}"
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init_env
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info "Creating ${NUM_CONTAINERS} containers"
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for ((i=1; i<= "${NUM_CONTAINERS}"; i++)); do
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containers+=($(random_name))
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sudo -E "${CTR_EXE}" run -d --runtime "${CTR_RUNTIME}" "${IMAGE}" "${containers[-1]}" sh -c "${PAYLOAD_ARGS}"
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((not_started_count--))
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info "$not_started_count remaining containers"
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done
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metrics_json_init
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metrics_json_start_array
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# Check that the requested number of containers are running
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check_containers_are_up
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equation_of_state_pytorch_test
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isoneural_pytorch_test
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metrics_json_save
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clean_env_ctr
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}
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main "$@"
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