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tests: Add metrics machine learning performance tests
This PR adds metrics machine learning performance tests like Tensorflow and Pytorch. Fixes #7313 Signed-off-by: Gabriela Cervantes <gabriela.cervantes.tellez@intel.com>
This commit is contained in:
Gabriela Cervantes
parent
b9a63d66a4
commit
c4094f62c9
169
tests/metrics/machine_learning/tensorflow.sh
Executable file
169
tests/metrics/machine_learning/tensorflow.sh
Executable file
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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/tensorflow:latest"
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DOCKERFILE="${SCRIPT_PATH}/tensorflow_dockerfile/Dockerfile"
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BATCH_SIZE="512"
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NUM_BATCHES="300"
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CMD_RESULT="cd benchmarks/scripts/tf_cnn_benchmarks/ && cat result"
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CMD_FILE="cat benchmarks/scripts/tf_cnn_benchmarks/result | grep 'total images' | wc -l"
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tensorflow_file=$(mktemp tensorflowresults.XXXXXXXXXX)
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NUM_CONTAINERS="$1"
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TIMEOUT="$2"
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TEST_NAME="tensorflow"
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PAYLOAD_ARGS="tail -f /dev/null"
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function remove_tmp_file() {
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rm -rf "${tensorflow_file}"
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}
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trap remove_tmp_file EXIT
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function help() {
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cat << EOF
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Usage: $0 <count> <timeout>
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Description:
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This script launches n number of containers
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to run the tf cnn benchmarks using a Tensorflow
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container.
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Options:
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<count> : Number of containers to run.
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<timeout> : Timeout to launch the containers.
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EOF
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}
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function resnet50_test() {
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local CMD_RUN="cd benchmarks/scripts/tf_cnn_benchmarks/ && python tf_cnn_benchmarks.py -data_format=NHWC --device cpu --batch_size=${BATCH_SIZE} --num_batches=${NUM_BATCHES} > result"
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info "Running Resnet50 Tensorflow test"
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for i in "${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}" >> "${tensorflow_file}"
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done
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local resnet50_results=$(cat "${tensorflow_file}" | grep "total images/sec" | cut -d ":" -f2 | sed -e 's/^[ \t]*//' | tr '\n' ',' | sed 's/.$//')
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local average_resnet50=$(echo "${resnet50_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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"Resnet50": {
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"Result": "${resnet50_results}",
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"Average": "${average_resnet50}",
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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 "$json"
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}
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function axelnet_test() {
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local CMD_RUN="cd benchmarks/scripts/tf_cnn_benchmarks/ && python tf_cnn_benchmarks.py --num_batches=${NUM_BATCHES} --device=cpu --batch_size=${BATCH_SIZE} --forward_only=true --model=alexnet --data_format=NHWC > result"
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info "Running AxelNet Tensorflow test"
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for i in "${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}" >> "${tensorflow_file}"
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done
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local axelnet_results=$(cat "${tensorflow_file}" | grep "total images/sec" | cut -d ":" -f2 | sed -e 's/^[ \t]*//' | tr '\n' ',' | sed 's/.$//')
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local average_axelnet=$(echo "${axelnet_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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"AxelNet": {
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"Result": "${axelnet_results}",
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"Average": "${average_axelnet}",
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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 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 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 "$not_started_count remaining containers"
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done
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metrics_json_init
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metrics_json_start_array
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# Check that the requested number of containers are running
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check_containers_are_up
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resnet50_test
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axelnet_test
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metrics_json_save
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clean_env_ctr
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}
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main "$@"
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