tests/nightly.sh

#!/bin/bash

# Copyright (c) 2021 The Regents of the University of California
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set -e
set -x

dir="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
gem5_root="${dir}/.."

# We assume the lone argument is the number of threads. If no argument is
# given we default to one.
threads=1
if [[ $# -gt 0 ]]; then
    threads=$1
fi

build_target () {
    isa=$1

    # Try to build. If not, delete the build directory and try again.
    # SCons is not perfect, and occasionally does not catch a necessary
    # compilation: https://gem5.atlassian.net/browse/GEM5-753
    docker run -u $UID:$GID --volume "${gem5_root}":"${gem5_root}" -w \
        "${gem5_root}" --rm gcr.io/gem5-test/ubuntu-20.04_all-dependencies \
            bash -c "scons build/${isa}/gem5.opt -j${threads} \
                || (rm -rf build && scons build/${isa}/gem5.opt -j${threads})"
}

unit_test () {
    build=$1

    docker run -u $UID:$GID --volume "${gem5_root}":"${gem5_root}" -w \
        "${gem5_root}" --rm gcr.io/gem5-test/ubuntu-20.04_all-dependencies \
            scons build/NULL/unittests.${build} -j${threads}
}

# Ensure we have the latest docker images.
docker pull gcr.io/gem5-test/ubuntu-20.04_all-dependencies

# Try to build the ISA targets.
build_target NULL
build_target RISCV
build_target X86
build_target ARM
build_target SPARC
build_target MIPS
build_target POWER

# Run the unit tests.
unit_test opt
unit_test debug
unit_test perf
unit_test prof

# Run the gem5 long tests.
docker run -u $UID:$GID --volume "${gem5_root}":"${gem5_root}" -w \
    "${gem5_root}"/tests --rm gcr.io/gem5-test/ubuntu-20.04_all-dependencies \
        ./main.py run --length long -j${threads} -t${threads}

# Run the GPU tests.
# For the GPU tests we compile and run GCN3_X86 inside a gcn-gpu container.
docker pull gcr.io/gem5-test/gcn-gpu:latest
docker run --rm -u $UID:$GID --volume "${gem5_root}":"${gem5_root}" -w \
    "${gem5_root}" gcr.io/gem5-test/gcn-gpu:latest bash -c \
    "scons build/GCN3_X86/gem5.opt -j${threads} \
        || (rm -rf build && scons build/GCN3_X86/gem5.opt -j${threads})"

# get square
wget -qN http://dist.gem5.org/dist/develop/test-progs/square/square

mkdir -p tests/testing-results

# Square is the simplest, fastest, more heavily tested GPU application
# Thus, we always want to run this in the nightly regressions to make sure
# basic GPU functionality is working.
docker run --rm -u $UID:$GID --volume "${gem5_root}":"${gem5_root}" -w \
    "${gem5_root}" gcr.io/gem5-test/gcn-gpu:latest build/GCN3_X86/gem5.opt \
    configs/example/apu_se.py --reg-alloc-policy=dynamic -n3 -c square

# get HeteroSync
wget -qN http://dist.gem5.org/dist/develop/test-progs/heterosync/gcn3/allSyncPrims-1kernel

# run HeteroSync sleepMutex -- 16 WGs (4 per CU in default config), each doing
# 10 Ld/St per thread and 4 iterations of the critical section is a reasonable
# moderate contention case for the default 4 CU GPU config and help ensure GPU
# atomics are tested.
docker run --rm -u $UID:$GID --volume "${gem5_root}":"${gem5_root}" -w \
    "${gem5_root}" gcr.io/gem5-test/gcn-gpu:latest build/GCN3_X86/gem5.opt \
    configs/example/apu_se.py --reg-alloc-policy=dynamic -n3 -c \
    allSyncPrims-1kernel --options="sleepMutex 10 16 4"

# run HeteroSync LFBarr -- similar setup to sleepMutex above -- 16 WGs
# accessing unique data and then joining a lock-free barrier, 10 Ld/St per
# thread, 4 iterations of critical section.  Again this is representative of a
# moderate contention case for the default 4 CU GPU config and help ensure GPU
# atomics are tested.
docker run --rm -u $UID:$GID --volume "${gem5_root}":"${gem5_root}" -w \
    "${gem5_root}" gcr.io/gem5-test/gcn-gpu:latest build/GCN3_X86/gem5.opt \
    configs/example/apu_se.py --reg-alloc-policy=dynamic -n3 -c \
    allSyncPrims-1kernel --options="lfTreeBarrUniq 10 16 4"