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include tensorflow.inc
SRC_URI += " \
file://0001-add-yocto-toolchain-to-support-cross-compiling.patch \
file://0001-fix-build-tensorflow-lite-examples-label_image-label.patch \
file://0001-label_image-tweak-default-model-location.patch \
file://0001-label_image.lite-tweak-default-model-location.patch \
file://0001-CheckFeatureOrDie-use-warning-to-avoid-die.patch \
file://0001-support-32-bit-x64-and-arm-for-yocto.patch \
file://0001-build-api_gen_binary_target-as-host-tools.patch \
file://BUILD.in \
file://BUILD.yocto_compiler \
file://cc_config.bzl.tpl \
file://yocto_compiler_configure.bzl \
"
SRC_URI += "https://storage.googleapis.com/download.tensorflow.org/models/inception_v3_2016_08_28_frozen.pb.tar.gz;name=model-inv3"
SRC_URI[model-inv3.md5sum] = "a904ddf15593d03c7dd786d552e22d73"
SRC_URI[model-inv3.sha256sum] = "7045b72a954af4dce36346f478610acdccbf149168fa25c78e54e32f0c723d6d"
SRC_URI += "https://storage.googleapis.com/download.tensorflow.org/models/tflite/mobilenet_v1_1.0_224_quant_and_labels.zip;name=model-mobv1"
SRC_URI[model-mobv1.md5sum] = "38ac0c626947875bd311ef96c8baab62"
SRC_URI[model-mobv1.sha256sum] = "2f8054076cf655e1a73778a49bd8fd0306d32b290b7e576dda9574f00f186c0f"
RDEPENDS:python3-tensorflow += " \
python3 \
python3-core \
python3-numpy \
python3-keras-applications \
python3-keras-preprocessing \
python3-protobuf \
python3-grpcio \
python3-absl \
python3-astor \
python3-astunparse \
python3-gast \
python3-termcolor \
python3-wrapt \
python3-opt-einsum \
python3-google-pasta \
python3-typing-extensions \
python3-packaging \
python3-flatbuffers \
python3-mldtypes \
python3-pybind11 \
tensorboard \
tensorflow-estimator \
keras \
"
do_configure:append () {
mkdir -p ${S}/third_party/toolchains/yocto/
sed "s#%%CPU%%#${BAZEL_TARGET_CPU}#g" ${WORKDIR}/BUILD.in > ${S}/third_party/toolchains/yocto/BUILD
chmod 644 ${S}/third_party/toolchains/yocto/BUILD
install -m 644 ${WORKDIR}/cc_config.bzl.tpl ${S}/third_party/toolchains/yocto/
install -m 644 ${WORKDIR}/yocto_compiler_configure.bzl ${S}/third_party/toolchains/yocto/
install -m 644 ${WORKDIR}/BUILD.yocto_compiler ${S}
CT_NAME=$(echo ${HOST_PREFIX} | rev | cut -c 2- | rev)
SED_COMMAND="s#%%CT_NAME%%#${CT_NAME}#g"
SED_COMMAND="${SED_COMMAND}; s#%%WORKDIR%%#${WORKDIR}#g"
SED_COMMAND="${SED_COMMAND}; s#%%YOCTO_COMPILER_PATH%%#${BAZEL_OUTPUTBASE_DIR}/external/yocto_compiler#g"
sed -i "${SED_COMMAND}" ${S}/BUILD.yocto_compiler \
${S}/WORKSPACE \
${S}/configure.py
${TF_CONFIG} \
./configure
}
TF_TARGET_EXTRA ??= ""
do_compile () {
export CT_NAME=$(echo ${HOST_PREFIX} | rev | cut -c 2- | rev)
unset CC
${BAZEL} build \
${TF_ARGS_EXTRA} \
-c opt \
--cpu=${BAZEL_TARGET_CPU} \
--subcommands --explain=${T}/explain.log \
--verbose_explanations --verbose_failures \
--crosstool_top=@local_config_yocto_compiler//:toolchain \
--host_crosstool_top=@bazel_tools//tools/cpp:toolchain \
--verbose_failures \
--copt -DTF_LITE_DISABLE_X86_NEON \
--define tflite_with_xnnpack=false \
--repo_env=TF_PYTHON_VERSION=3.12 \
//tensorflow:libtensorflow.so \
//tensorflow:libtensorflow_cc.so \
//tensorflow:libtensorflow_framework.so \
//tensorflow/tools/benchmark:benchmark_model \
//tensorflow/tools/pip_package:build_pip_package \
tensorflow/examples/label_image/... \
//tensorflow/lite/examples/label_image:label_image \
${TF_TARGET_EXTRA}
}
do_install() {
install -d ${D}${libdir}
install -m 644 ${S}/bazel-bin/tensorflow/libtensorflow.so \
${D}${libdir}
install -m 644 ${S}/bazel-bin/tensorflow/libtensorflow_cc.so \
${D}${libdir}
install -d ${D}${sbindir}
install -m 755 ${S}/bazel-bin/tensorflow/tools/benchmark/benchmark_model \
${D}${sbindir}
install -m 755 ${S}/bazel-bin/tensorflow/examples/label_image/label_image \
${D}${sbindir}
install -m 755 ${S}/bazel-bin/tensorflow/lite/examples/label_image/label_image \
${D}${sbindir}/label_image.lite
install -d ${D}${datadir}/label_image
install -m 644 ${WORKDIR}/imagenet_slim_labels.txt ${D}${datadir}/label_image
install -m 644 ${WORKDIR}/inception_v3_2016_08_28_frozen.pb \
${D}${datadir}/label_image
install -m 644 ${S}/tensorflow/examples/label_image/data/grace_hopper.jpg \
${D}${datadir}/label_image
install -m 644 ${WORKDIR}/labels_mobilenet_quant_v1_224.txt ${D}${datadir}/label_image
install -m 644 ${WORKDIR}/mobilenet_v1_1.0_224_quant.tflite \
${D}${datadir}/label_image
install -m 644 ${S}/tensorflow/lite/examples/label_image/testdata/grace_hopper.bmp \
${D}${datadir}/label_image
export TMPDIR="${WORKDIR}"
echo "Generating pip package"
BDIST_OPTS="--universal" \
${S}/bazel-bin/tensorflow/tools/pip_package/build_pip_package ${WORKDIR}
echo "Installing pip package"
install -d ${D}/${PYTHON_SITEPACKAGES_DIR}
${STAGING_BINDIR_NATIVE}/pip3 install --disable-pip-version-check -v \
-t ${D}/${PYTHON_SITEPACKAGES_DIR} --no-cache-dir --no-deps \
${WORKDIR}/tensorflow-${PV}*.whl
(
cd ${D}${PYTHON_SITEPACKAGES_DIR}/bin;
for app in `ls`; do
sed -i "s:${STAGING_BINDIR_NATIVE}/nativepython3:/usr/bin/python3:g" $app
mv $app ${D}${sbindir}
done
mv ${D}${PYTHON_SITEPACKAGES_DIR}/tensorflow/libtensorflow_framework.so* ${D}${libdir}
)
}
FILES:${PN}-dev = ""
INSANE_SKIP:${PN} += "dev-so \
already-stripped \
"
PACKAGE_BEFORE_PN += "libtensorflow-c libtensorflow-framework label-image label-image-lite python3-tensorflow"
RDEPENDS:label-image += "libtensorflow-framework"
RDEPENDS:python3-tensorflow += "libtensorflow-framework"
RDEPENDS:${PN} += "libtensorflow-c libtensorflow-framework label-image label-image-lite python3-tensorflow"
ALLOW_EMPTY:${PN} = "1"
PRIVATE_LIBS:python3-tensorflow = "libtensorflow_cc.so.2"
FILES:python3-tensorflow += "${libdir}/* ${datadir}/* ${sbindir}/*"
FILES:libtensorflow-c = "${libdir}/libtensorflow.so ${libdir}/libtensorflow_cc.so"
FILES:libtensorflow-framework = "${libdir}/libtensorflow.so ${libdir}/libtensorflow_framework.so*"
FILES:label-image = "${sbindir}/label_image"
FILES:label-image-lite = "${sbindir}/label_image.lite"
inherit siteinfo unsupportarch
python __anonymous() {
if d.getVar("SITEINFO_ENDIANNESS") == 'be':
msg = "\nIt failed to use pre-build model to do predict/inference on big-endian platform"
msg += "\n(such as qemumips), since upstream does not support big-endian very well."
msg += "\nDetails: https://github.com/tensorflow/tensorflow/issues/16364"
bb.warn(msg)
}
COMPATIBLE_HOST:arm = "null"
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