chromeos-base/ml/ml-0.0.1-r434.ebuild

# Copyright 2018 The Chromium OS Authors. All rights reserved.
# Distributed under the terms of the GNU General Public License v2

EAPI=7
CROS_WORKON_COMMIT="828bcffbe06a20dd65427d294723b6bf30cd6dbb"
CROS_WORKON_TREE=("52a8a8b6d3bbca5e90d4761aa308a5541d52b1bb" "15d392511855fd12421e2bb0d735d75278a92065" "4dc9e176d315085cb2b8c8ad66d1965575ef5280" "e7dba8c91c1f3257c34d4a7ffff0ea2537aeb6bb")
CROS_WORKON_LOCALNAME="platform2"
CROS_WORKON_PROJECT="chromiumos/platform2"
# TODO(amoylan): Set CROS_WORKON_OUTOFTREE_BUILD=1 after crbug.com/833675.
CROS_WORKON_DESTDIR="${S}/platform2"
CROS_WORKON_SUBTREE="common-mk ml ml_benchmark .gn"

PLATFORM_SUBDIR="ml"

inherit cros-workon platform user

DESCRIPTION="Machine learning service for Chromium OS"
HOMEPAGE="https://chromium.googlesource.com/chromiumos/platform2/+/master/ml"

# Clients of the ML service should place the URIs of their model files into
# MODELS_TO_INSTALL if they are installed into rootfs (built-in models), or
# DOWNLOADABLE_MODELS if they are downloaded via component updater (downloadable
# models).
MODELS_TO_INSTALL=(
	"gs://chromeos-localmirror/distfiles/mlservice-model-test_add-20180914.tflite"
	"gs://chromeos-localmirror/distfiles/mlservice-model-search_ranker-20190923.tflite"
	"gs://chromeos-localmirror/distfiles/mlservice-model-smart_dim-20181115.tflite"
	"gs://chromeos-localmirror/distfiles/mlservice-model-smart_dim-20190221.tflite"
	"gs://chromeos-localmirror/distfiles/mlservice-model-smart_dim-20190521-v3.tflite"
)

DOWNLOADABLE_MODELS=(
	"gs://chromeos-localmirror/distfiles/mlservice-model-smart_dim-20200206-downloadable.tflite"
)

SRC_URI="
	${DOWNLOADABLE_MODELS[*]}
	${MODELS_TO_INSTALL[*]}
"

LICENSE="BSD-Google"
KEYWORDS="*"
IUSE="
	dlc
	fuzzer
	ml_benchmark_drivers
	nnapi
	ondevice_grammar
	ondevice_handwriting
	ondevice_handwriting_dlc
	ondevice_speech
"

RDEPEND="
	chromeos-base/chrome-icu:=
	>=chromeos-base/metrics-0.0.1-r3152:=
	ondevice_speech? ( chromeos-soda/libsoda:=[dlc=] )
	nnapi? ( chromeos-base/aosp-frameworks-ml-nn )
	>=dev-libs/libgrammar-0.0.3:=[ondevice_grammar=]
	dev-libs/libhandwriting:=[ondevice_handwriting=,ondevice_handwriting_dlc=]
	>=dev-libs/libtextclassifier-0.0.1-r79:=
	sci-libs/tensorflow:=
"

DEPEND="
	${RDEPEND}
	chromeos-base/system_api:=[fuzzer?]
	dev-cpp/absl:=
	dev-libs/libutf:=
	dev-libs/marisa-aosp:=
"

# SODA will not be supported on rootfs and only be supported through DLC.
REQUIRED_USE="ondevice_speech? ( dlc )"

src_install() {
	dobin "${OUT}"/ml_service

	# Install upstart configuration.
	insinto /etc/init
	doins init/*.conf

	# Install seccomp policy file.
	insinto /usr/share/policy
	newins "seccomp/ml_service-seccomp-${ARCH}.policy" ml_service-seccomp.policy

	# Install D-Bus configuration file.
	insinto /etc/dbus-1/system.d
	doins dbus/org.chromium.MachineLearning.conf

	# Install D-Bus service activation configuration.
	insinto /usr/share/dbus-1/system-services
	doins dbus/org.chromium.MachineLearning.service

	# Create distfile array of model filepaths.
	local model_files=( "${MODELS_TO_INSTALL[@]##*/}" )
	local distfile_array=( "${model_files[@]/#/${DISTDIR}/}" )

	# Install system ML models.
	insinto /opt/google/chrome/ml_models
	doins "${distfile_array[@]}"

	# Install system ML models to fuzzer dir.
	insinto /usr/libexec/fuzzers
	doins "${distfile_array[@]}"

	# Install fuzzer targets.
	for fuzzer in "${OUT}"/*_fuzzer; do
		platform_fuzzer_install "${S}"/OWNERS "${fuzzer}"
	done

	if use ml_benchmark_drivers; then
		insinto /usr/local/ml_benchmark/ml_service
		insopts -m0755
		doins "${OUT}"/lib/libml_for_benchmark.so
		insopts -m0644
	fi
}

pkg_preinst() {
	enewuser "ml-service"
	enewgroup "ml-service"
}

platform_pkg_test() {
	# Recreate model dir in the temp directory and copy both
	# MODELS_TO_INSTALL and DOWNLOADABLE_MODELS into it for use in unit
	# tests.
	mkdir "${T}/ml_models" || die
	local all_test_models=( "${DOWNLOADABLE_MODELS[@]}" "${MODELS_TO_INSTALL[@]}" )
	local distfile_uri
	for distfile_uri in "${all_test_models[@]}"; do
		cp "${DISTDIR}/${distfile_uri##*/}" "${T}/ml_models" || die
	done

	platform_test "run" "${OUT}/ml_service_test"
}