Complete Yocto mirror with license table for TQMa6UL (2038-compliance)

- 264 license table entries with exact download URLs (224/264 resolved)
- Complete sources/ directory with all BitBake recipes
- Build configuration: tqma6ul-multi-mba6ulx, spaetzle (musl)
- Full traceability for Softwarefreigabeantrag
- GCC 13.4.0, Linux 6.6.102, U-Boot 2023.04, musl 1.2.4
- License distribution: GPL-2.0 (24), MIT (23), GPL-2.0+ (18), BSD-3 (16)
This commit is contained in:
Siggi (OpenClaw Agent)
2026-03-01 20:58:18 +00:00
commit 16accb6b24
15086 changed files with 1292356 additions and 0 deletions

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SUMMARY = "The Linux driver stack for Arm(R) Ethos(TM)-U NPU"
DESCRIPTION = "The Linux driver stack for Arm(R) Ethos(TM)-U provides \
an example of how a rich operating system like Linux can dispatch \
inferences to an Arm Cortex(R)-M subsystem, consisting of an Arm \
Cortex-M of choice and an Arm Ethos-U NPU."
LICENSE = "Apache-2.0"
LIC_FILES_CHKSUM = "file://LICENSE.txt;md5=e3fc50a88d0a364313df4b21ef20c29e"
DEPENDS = "flatbuffers python3-pybind11 python3-pybind11-native"
SRC_URI = "${ETHOS_U_SRC};branch=${SRCBRANCH}"
ETHOS_U_SRC ?= "git://github.com/nxp-imx/ethos-u-driver-stack-imx.git;protocol=https"
SRCBRANCH = "lf-6.6.23_2.0.0"
SRCREV = "2acb7e2626fe3ff8764019e385829105a6e210bb"
S = "${WORKDIR}/git"
inherit cmake setuptools3
SETUPTOOLS_BUILD_ARGS = "build_ext --library-dirs ${B}/driver_library"
do_configure() {
cmake_do_configure
}
do_compile () {
cmake_do_compile
setuptools3_do_compile
}
do_install () {
cmake_do_install
setuptools3_do_install
}
RDEPENDS:${PN} = "flatbuffers python3-numpy python3-pillow"
COMPATIBLE_MACHINE = "(mx93-nxp-bsp)"

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# this depends on machine specific firmware
PACKAGE_ARCH = "${MACHINE_ARCH}"
FILESEXTRAPATHS:prepend := "${THISDIR}/${PN}:"
# This must be ELF,
# rename and copy to /lib/firmware/ethosu_firmware
# name is currently compiled fix into the driver
ETHOS_U_FIRMWARE:tqma93xx = "ethosu_apps_rpmsg.elf"
# appending to SRC_URI and overwriting do_install keeps license handling intact
SRC_URI:append:tqma93xx = " file://${ETHOS_U_FIRMWARE}"
do_install:tqma93xx () {
install -d ${D}${nonarch_base_libdir}/firmware
install -m 0644 ${WORKDIR}/${ETHOS_U_FIRMWARE} ${D}${nonarch_base_libdir}/firmware/ethosu_firmware
}

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SUMMARY = "The firmware of Cortex(R)-M33 for Arm(R) Ethos(TM)-U NPU"
DESCRIPTION = "The firmware of Cortex(R)-M33 for Arm(R) Ethos(TM)-U NPU"
LICENSE = "Apache-2.0 & GPL-2.0-only & BSD-3-Clause"
LIC_FILES_CHKSUM = "\
file://LICENSE.txt;md5=e3fc50a88d0a364313df4b21ef20c29e \
file://LICENSE-GPL-2.0.txt;md5=b234ee4d69f5fce4486a80fdaf4a4263 \
file://LICENSE-BSD-3.txt;md5=0858ec9c7a80c4a2cf16e4f825a2cc91 \
"
SRC_URI = "${ETHOS_U_FIRMWARE_SRC};branch=${SRCBRANCH}"
ETHOS_U_FIRMWARE_SRC ?= "git://github.com/nxp-imx/ethos-u-firmware.git;protocol=https"
SRCBRANCH = "lf-6.6.23_2.0.0"
SRCREV = "bd12be9d5e61a12641fe284d323ff964c9c7a080"
S = "${WORKDIR}/git"
ETHOS_U_FIRMWARE = "ethosu_firmware"
ETHOS_U_FIRMWARE:imx93-9x9-lpddr4-qsb = "ethosu_firmware_9x9"
ETHOS_U_FIRMWARE:imx93-11x11-lpddr4x-evk = "ethosu_firmware_11x11"
ETHOS_U_FIRMWARE:imx93-14x14-lpddr4x-evk = "ethosu_firmware_14x14"
do_install () {
install -d ${D}${nonarch_base_libdir}/firmware
install -m 0644 ${S}/${ETHOS_U_FIRMWARE} ${D}${nonarch_base_libdir}/firmware/ethosu_firmware
}
FILES:${PN} = "${nonarch_base_libdir}/firmware/*"
INSANE_SKIP:${PN} = "arch"
COMPATIBLE_MACHINE = "(mx93-nxp-bsp)"

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# Copyright 2023 NXP
DESCRIPTION = "The vela tool is used to compile a TensorFlow Lite for \
Microcontrollers neural network model into an optimised version that \
can run on an embedded system containing an Arm Ethos-U NPU"
LICENSE = "Apache-2.0"
LIC_FILES_CHKSUM = "file://LICENSE.txt;md5=e3fc50a88d0a364313df4b21ef20c29e"
DEPENDS = "python3-pip-native python3-wheel-native flatbuffers python3-numpy python3-lxml python3-numpy-native python3-setuptools-scm-native"
SRC_URI = "${VELA_SRC};branch=${SRCBRANCH}"
VELA_SRC ?= "git://github.com/nxp-imx/ethos-u-vela.git;protocol=https"
SRCBRANCH = "lf-6.6.23_2.0.0"
SRCREV = "507e8d46751227c7fd6f456774838a70e3c6d7a0"
S = "${WORKDIR}/git"
inherit setuptools3
do_compile[network] = "1"
do_compile:prepend() {
export HTTP_PROXY=${http_proxy}
export HTTPS_PROXY=${https_proxy}
export http_proxy=${http_proxy}
export https_proxy=${https_proxy}
}
RDEPENDS:${PN} += "python3-flatbuffers python3-numpy python3-lxml python3-pkg-resources"
COMPATIBLE_MACHINE = "(mx93-nxp-bsp)"

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# Copyright 2020-2021 NXP
TENSORFLOW_LITE_SRC ?= "git://github.com/nxp-imx/tensorflow-imx.git;protocol=https"
SRCBRANCH_tf = "lf-6.6.23_2.0.0"
SRCREV_tf = "37cb38a251f92cf6041f18607e61c115e976a7f7"

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# Copyright 2020-2023 NXP
DESCRIPTION = "TensorFlow Lite Ethos-u Delegate"
LICENSE = "Apache-2.0"
LIC_FILES_CHKSUM = "file://LICENSE;md5=86d3f3a95c324c9479bd8986968f4327"
DEPENDS = "tensorflow-lite ethos-u-driver-stack"
require tensorflow-lite-${PV}.inc
TENSORFLOW_LITE_ETHOSU_DELEGATE_SRC ?= "git://github.com/nxp-imx/tflite-ethosu-delegate-imx.git;protocol=https"
SRCBRANCH_ethosu = "lf-6.6.23_2.0.0"
SRCREV_ethosu = "f6db8f70f531684265aa7e085a8ae01f33d85cbe"
SRCREV_FORMAT = "ethosu_tf"
SRC_URI = "${TENSORFLOW_LITE_ETHOSU_DELEGATE_SRC};branch=${SRCBRANCH_ethosu};name=ethosu \
${TENSORFLOW_LITE_SRC};branch=${SRCBRANCH_tf};name=tf;destsuffix=tfgit \
"
S = "${WORKDIR}/git"
inherit python3native cmake
EXTRA_OECMAKE = "-DCMAKE_SYSROOT=${PKG_CONFIG_SYSROOT_DIR}"
EXTRA_OECMAKE += " \
-DFETCHCONTENT_FULLY_DISCONNECTED=OFF \
-DFETCHCONTENT_SOURCE_DIR_TENSORFLOW=${WORKDIR}/tfgit \
-DTFLITE_LIB_LOC=${STAGING_DIR_HOST}${libdir}/libtensorflow-lite.so \
${S} \
"
CXXFLAGS += "-fPIC"
do_configure[network] = "1"
do_configure:prepend() {
export HTTP_PROXY=${http_proxy}
export HTTPS_PROXY=${https_proxy}
export http_proxy=${http_proxy}
export https_proxy=${https_proxy}
# There is no Fortran compiler in the toolchain, but bitbake sets this variable anyway
# with unavailable binary.
export FC=""
}
do_install() {
# install libraries
install -d ${D}${libdir}
for lib in ${B}/lib*.so*
do
cp --no-preserve=ownership -d $lib ${D}${libdir}
done
}
INHIBIT_PACKAGE_DEBUG_SPLIT = "1"
# Output library is unversioned
SOLIBS = ".so"
FILES_SOLIBSDEV = ""
COMPATIBLE_MACHINE = "(mx93-nxp-bsp)"

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# Copyright 2022 NXP
DESCRIPTION = "Host tools required for build of TensorFlow Lite C++ Library unit tests and Evaluation Tools"
LICENSE = "Apache-2.0"
LIC_FILES_CHKSUM = "file://LICENSE;md5=4158a261ca7f2525513e31ba9c50ae98"
require tensorflow-lite-${PV}.inc
SRC_URI = "${TENSORFLOW_LITE_SRC};branch=${SRCBRANCH_tf};name=tf"
inherit cmake
S = "${WORKDIR}/git"
OECMAKE_SOURCEPATH = "${S}/tensorflow/lite/tools/cmake/native_tools"
BBCLASSEXTEND = "native nativesdk"
EXTRA_OECMAKE = " \
-DFETCHCONTENT_FULLY_DISCONNECTED=OFF \
-DCMAKE_SYSROOT=${PKG_CONFIG_SYSROOT_DIR} \
"
CXXFLAGS += "-fPIC"
do_configure[network] = "1"
do_configure:prepend() {
export HTTP_PROXY=${http_proxy}
export HTTPS_PROXY=${https_proxy}
export http_proxy=${http_proxy}
export https_proxy=${https_proxy}
}

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# Copyright 2023-2024 NXP
DESCRIPTION = "TensorFlow Lite Neutron Delegate"
LICENSE = "Apache-2.0"
LIC_FILES_CHKSUM = "file://LICENSE.txt;md5=86d3f3a95c324c9479bd8986968f4327"
DEPENDS = "tensorflow-lite neutron"
require tensorflow-lite-${PV}.inc
NEUTRON_DELEGATE_SRC ?= "git://github.com/nxp-imx/tflite-neutron-delegate.git;protocol=https"
SRCBRANCH_neutron = "lf-6.6.23_2.0.0"
SRCREV_neutron = "0b4e06df64d39add24c1f1eef219f3cbc9ac6f2f"
SRCREV_FORMAT = "neutron_tf"
SRC_URI = "${NEUTRON_DELEGATE_SRC};branch=${SRCBRANCH_neutron};name=neutron \
${TENSORFLOW_LITE_SRC};branch=${SRCBRANCH_tf};name=tf;destsuffix=tfgit \
"
S = "${WORKDIR}/git"
inherit python3native cmake
EXTRA_OECMAKE = "-DCMAKE_SYSROOT=${PKG_CONFIG_SYSROOT_DIR}"
EXTRA_OECMAKE += " \
-DFETCHCONTENT_FULLY_DISCONNECTED=OFF \
-DFETCHCONTENT_SOURCE_DIR_TENSORFLOW=${WORKDIR}/tfgit \
-DTFLITE_LIB_LOC=${STAGING_DIR_HOST}${libdir}/libtensorflow-lite.so \
${S} \
"
CXXFLAGS += "-fPIC"
do_configure[network] = "1"
do_configure:prepend() {
export HTTP_PROXY=${http_proxy}
export HTTPS_PROXY=${https_proxy}
export http_proxy=${http_proxy}
export https_proxy=${https_proxy}
# There is no Fortran compiler in the toolchain, but bitbake sets this variable anyway
# with unavailable binary.
export FC=""
}
do_install() {
# install libraries
install -d ${D}${libdir}
for lib in ${B}/lib*.so*
do
cp --no-preserve=ownership -d $lib ${D}${libdir}
done
}
INHIBIT_PACKAGE_DEBUG_SPLIT = "1"
# Output library is unversioned
SOLIBS = ".so"
FILES_SOLIBSDEV = ""
COMPATIBLE_MACHINE = "(mx95-nxp-bsp)"

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From 1ba241438dcc14852017757451521f5e27690290 Mon Sep 17 00:00:00 2001
From: Cristinel Panfir <cristinel.panfir@nxp.com>
Date: Mon, 2 May 2022 15:18:46 +0000
Subject: [PATCH] Findtim-vx.cmake: Fix LIBDIR for multilib environment
Signed-off-by: Cristinel Panfir <cristinel.panfir@nxp.com>
---
cmake/modules/Findtim-vx.cmake | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/cmake/modules/Findtim-vx.cmake b/cmake/modules/Findtim-vx.cmake
index d0240e8..8a69d02 100644
--- a/cmake/modules/Findtim-vx.cmake
+++ b/cmake/modules/Findtim-vx.cmake
@@ -53,7 +53,7 @@ if((NOT DEFINED TIM_VX_INSTALL))
else()
message("=== Building with TIM_VX_LIBRIRIES from ${TIM_VX_INSTALL} ===")
include_directories(${TIM_VX_INSTALL}/include)
- set(LIBDIR lib)
+ set(LIBDIR ${CMAKE_INSTALL_LIBDIR})
list(APPEND VX_DELEGATE_DEPENDENCIES ${TIM_VX_INSTALL}/${LIBDIR}/libtim-vx.so)
if(${TIM_VX_ENABLE_NODE_TRACE})
list(APPEND VX_DELEGATE_DEPENDENCIES ${TIM_VX_INSTALL}/${LIBDIR}/libjsoncpp.so)
--
2.25.1

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# Copyright 2020-2021 NXP
DESCRIPTION = "TensorFlow Lite VX Delegate"
LICENSE = "MIT"
LIC_FILES_CHKSUM = "file://LICENSE;md5=7d6260e4f3f6f85de05af9c8f87e6fb5"
DEPENDS = "tensorflow-lite tim-vx"
require tensorflow-lite-${PV}.inc
TENSORFLOW_LITE_VX_DELEGATE_SRC ?= "git://github.com/nxp-imx/tflite-vx-delegate-imx.git;protocol=https"
SRCBRANCH_vx = "lf-6.6.23_2.0.0"
SRCREV_vx = "9ae63a7d915f339ba5504710211e4e31a0dfd0e2"
SRCREV_FORMAT = "vx_tf"
SRC_URI = "${TENSORFLOW_LITE_VX_DELEGATE_SRC};branch=${SRCBRANCH_vx};name=vx \
${TENSORFLOW_LITE_SRC};branch=${SRCBRANCH_tf};name=tf;destsuffix=tfgit \
file://0001-Findtim-vx.cmake-Fix-LIBDIR-for-multilib-environment.patch \
"
S = "${WORKDIR}/git"
inherit python3native cmake
EXTRA_OECMAKE = "-DCMAKE_SYSROOT=${PKG_CONFIG_SYSROOT_DIR}"
EXTRA_OECMAKE += " \
-DFETCHCONTENT_FULLY_DISCONNECTED=OFF \
-DTIM_VX_INSTALL=${STAGING_DIR_HOST}/usr \
-DFETCHCONTENT_SOURCE_DIR_TENSORFLOW=${WORKDIR}/tfgit \
-DTFLITE_LIB_LOC=${STAGING_DIR_HOST}${libdir}/libtensorflow-lite.so \
${S} \
"
CXXFLAGS += "-fPIC"
do_configure[network] = "1"
do_configure:prepend() {
export HTTP_PROXY=${http_proxy}
export HTTPS_PROXY=${https_proxy}
export http_proxy=${http_proxy}
export https_proxy=${https_proxy}
# There is no Fortran compiler in the toolchain, but bitbake sets this variable anyway
# with unavailable binary.
export FC=""
}
do_install() {
# install libraries
install -d ${D}${libdir}
for lib in ${B}/lib*.so*
do
cp --no-preserve=ownership -d $lib ${D}${libdir}
done
# install header files
install -d ${D}${includedir}/tensorflow-lite-vx-delegate
cd ${S}
cp --parents \
$(find . -name "*.h*") \
${D}${includedir}/tensorflow-lite-vx-delegate
}
INHIBIT_PACKAGE_DEBUG_SPLIT = "1"
# Output library is unversioned
SOLIBS = ".so"
FILES_SOLIBSDEV = ""
COMPATIBLE_MACHINE = "(^$)"
COMPATIBLE_MACHINE:imxgpu3d = "(mx8-nxp-bsp)"
COMPATIBLE_MACHINE:mx8mm-nxp-bsp = "(^$)"

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Name: tensorflow lite
Description: tensorflow lite static library
Version: @version@
Requires:
Libs: -L@libdir@ -ltensorflow-lite -lrt
Cflags: -I@includedir@

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FILESEXTRAPATHS:prepend := "${THISDIR}/${PN}:"
SRC_URI:append = " file://tensorflow-lite.pc.in"
do_install:append() {
install -d ${D}${libdir}/pkgconfig
install -m 0644 ${WORKDIR}/tensorflow-lite.pc.in ${D}${libdir}/pkgconfig/tensorflow2-lite.pc
sed -i 's:@version@:${PV}:g
s:@libdir@:${libdir}:g
s:@includedir@:${includedir}:g' ${D}${libdir}/pkgconfig/tensorflow2-lite.pc
}

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# Copyright 2020-2021 NXP
DESCRIPTION = "TensorFlow Lite C++ Library"
LICENSE = "Apache-2.0"
LIC_FILES_CHKSUM = "file://LICENSE;md5=4158a261ca7f2525513e31ba9c50ae98"
DEPENDS = "flatbuffers python3-numpy-native python3-pip-native python3-pybind11-native python3-wheel-native unzip-native \
python3 jpeg zlib ${BPN}-host-tools-native"
require tensorflow-lite-${PV}.inc
SRC_URI = "${TENSORFLOW_LITE_SRC};branch=${SRCBRANCH_tf};name=tf"
SRC_URI += "https://storage.googleapis.com/download.tensorflow.org/models/mobilenet_v1_2018_08_02/mobilenet_v1_1.0_224_quant.tgz;name=model-mobv1"
SRC_URI[model-mobv1.md5sum] = "36af340c00e60291931cb30ce32d4e86"
SRC_URI[model-mobv1.sha256sum] = "d32432d28673a936b2d6281ab0600c71cf7226dfe4cdcef3012555f691744166"
S = "${WORKDIR}/git"
inherit python3native cmake
TFLITE_ENABLE_GPU = "off"
TFLITE_ENABLE_GPU:mx95-nxp-bsp = "on"
EXTRA_OECMAKE = " \
-DCMAKE_SYSROOT=${PKG_CONFIG_SYSROOT_DIR} \
-DFETCHCONTENT_FULLY_DISCONNECTED=OFF \
-DTFLITE_EVAL_TOOLS=on \
-DTFLITE_HOST_TOOLS_DIR=${STAGING_BINDIR_NATIVE} \
-DTFLITE_BUILD_SHARED_LIB=on \
-DTFLITE_ENABLE_NNAPI=off \
-DTFLITE_ENABLE_NNAPI_VERBOSE_VALIDATION=on \
-DTFLITE_ENABLE_RUY=on \
-DTFLITE_ENABLE_XNNPACK=on \
-DTFLITE_PYTHON_WRAPPER_BUILD_CMAKE2=on \
-DTFLITE_ENABLE_EXTERNAL_DELEGATE=on \
-DTFLITE_ENABLE_GPU=${TFLITE_ENABLE_GPU} \
${S}/tensorflow/lite/ \
"
EXTRA_OECMAKE_BUILD = "benchmark_model label_image"
CXXFLAGS += "-fPIC"
do_configure[network] = "1"
do_configure:prepend() {
export HTTP_PROXY=${http_proxy}
export HTTPS_PROXY=${https_proxy}
export http_proxy=${http_proxy}
export https_proxy=${https_proxy}
# There is no Fortran compiler in the toolchain, but bitbake sets this variable anyway
# with unavailable binary.
export FC=""
}
do_compile:append () {
# build pip package
cd ${B}
CI_BUILD_PYTHON=${PYTHON} BUILD_NUM_JOBS=8 ${S}/tensorflow/lite/tools/pip_package/build_pip_package_with_cmake2.sh ${TARGET_ARCH}
}
do_install() {
# install libraries
install -d ${D}${libdir}
for lib in ${B}/lib*.so*
do
cp --no-preserve=ownership -d $lib ${D}${libdir}
done
# install header files
install -d ${D}${includedir}/tensorflow/lite
cd ${S}/tensorflow/lite
cp --parents \
$(find . -name "*.h*") \
${D}${includedir}/tensorflow/lite
# install version.h from core
install -d ${D}${includedir}/tensorflow/core/public
cp ${S}/tensorflow/core/public/version.h ${D}${includedir}/tensorflow/core/public
# install ctstring_internal.h from core
install -d ${D}${includedir}/tensorflow/core/platform
cp ${S}/tensorflow/core/platform/ctstring_internal.h ${D}${includedir}/tensorflow/core/platform
# install ctstring_internal.h from tsl
install -d ${D}${includedir}/tsl/platform
cp ${S}/third_party/xla/third_party/tsl/tsl/platform/ctstring_internal.h ${D}${includedir}/tsl/platform
# install examples
install -d ${D}${bindir}/${PN}-${PV}/examples
install -m 0555 ${B}/examples/label_image/label_image ${D}${bindir}/${PN}-${PV}/examples
install -m 0555 ${B}/tools/benchmark/benchmark_model ${D}${bindir}/${PN}-${PV}/examples
install -m 0555 ${B}/tools/evaluation/coco_object_detection_run_eval ${D}${bindir}/${PN}-${PV}/examples
install -m 0555 ${B}/tools/evaluation/imagenet_image_classification_run_eval ${D}${bindir}/${PN}-${PV}/examples
install -m 0555 ${B}/tools/evaluation/inference_diff_run_eval ${D}${bindir}/${PN}-${PV}/examples
# install label_image data
cp ${S}/tensorflow/lite/examples/label_image/testdata/grace_hopper.bmp ${D}${bindir}/${PN}-${PV}/examples
cp ${S}/tensorflow/lite/java/ovic/src/testdata/labels.txt ${D}${bindir}/${PN}-${PV}/examples
# Install python example
cp ${S}/tensorflow/lite/examples/python/label_image.py ${D}${bindir}/${PN}-${PV}/examples
# Install mobilenet tflite file
cp ${WORKDIR}/mobilenet_*.tflite ${D}${bindir}/${PN}-${PV}/examples
# Install pip package
install -d ${D}/${PYTHON_SITEPACKAGES_DIR}
${STAGING_BINDIR_NATIVE}/pip3 install --disable-pip-version-check -vvv --platform linux_${TARGET_ARCH} \
-t ${D}/${PYTHON_SITEPACKAGES_DIR} --no-cache-dir --no-deps \
${B}/tflite_pip/dist/tflite_runtime-*.whl
}
PACKAGE_ARCH = "${MACHINE_SOCARCH}"
RDEPENDS:${PN} = " \
python3 \
python3-numpy \
"
# TensorFlow and TensorFlow Lite both exports few files, suppress the error
# SSTATE_ALLOW_OVERLAP_FILES = "${D}${includedir}"
SSTATE_ALLOW_OVERLAP_FILES = "/"
INHIBIT_PACKAGE_DEBUG_SPLIT = "1"
INSANE_SKIP:${PN} += " \
already-stripped \
staticdev \
"
FILES:${PN} += "${libdir}/python*"

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SUMMARY = "Tensor Interface Module for OpenVX"
DESCRIPTION = "TIM-VX is a software integration module provided by VeriSilicon \
to facilitate deployment of Neural-Networks on OpenVX enabled ML accelerators. It serves as \
the backend binding for runtime frameworks such as Android NN, Tensorflow-Lite, MLIR, TVM and more."
LICENSE = "MIT"
LIC_FILES_CHKSUM = "file://LICENSE;md5=a223f028c6a73fd2bd9223b79a38dcf6"
DEPENDS = "imx-gpu-viv"
SRC_URI = "${TIM_VX_SRC};branch=${SRCBRANCH}"
TIM_VX_SRC ?= "git://github.com/nxp-imx/tim-vx-imx.git;protocol=https"
SRCBRANCH = "lf-6.6.23_2.0.0"
SRCREV = "37be6a7229db9a8261f873f68c407323c072d9c2"
S = "${WORKDIR}/git"
inherit cmake
EXTRA_OECMAKE = " \
-DCONFIG=YOCTO \
-DCMAKE_SYSROOT=${PKG_CONFIG_SYSROOT_DIR} \
-DTIM_VX_ENABLE_TEST=off \
-DTIM_VX_USE_EXTERNAL_OVXLIB=off \
"
# Output library is unversioned
SOLIBS = ".so"
FILES_SOLIBSDEV = ""
COMPATIBLE_MACHINE = "(^$)"
COMPATIBLE_MACHINE:imxgpu3d = "(mx8-nxp-bsp)"
COMPATIBLE_MACHINE:mx8mm-nxp-bsp = "(^$)"