ccimx95: backport NPU suppport from lf-6.12.49-2.2.0
https://onedigi.atlassian.net/browse/DEL-9987 Signed-off-by: Javier Viguera <javier.viguera@digi.com>
This commit is contained in:
Javier Viguera
parent
7736ba21ca
commit
11999b4810
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@ -358,6 +358,19 @@ OPTEE_PKGS ??= "optee-client optee-os"
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PREFERRED_VERSION_opencv:mx8-nxp-bsp ??= "4.10.0.imx"
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PREFERRED_VERSION_opencv:mx9-nxp-bsp ??= "4.10.0.imx"
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# ML on ccimx95 (backport from NXP's lf-6.12.49-2.2.0)
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PREFERRED_VERSION_flatbuffers-native:mx95-nxp-bsp ??= "24.3.25"
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PREFERRED_VERSION_flatbuffers:mx95-nxp-bsp ??= "24.3.25"
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PREFERRED_VERSION_neutron:mx95-nxp-bsp ??= "2.2.1"
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PREFERRED_VERSION_nnstreamer-edge:mx95-nxp-bsp ??= "0.2.6"
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PREFERRED_VERSION_nnstreamer:mx95-nxp-bsp ??= "2.4.2"
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PREFERRED_VERSION_onnxruntime:mx95-nxp-bsp ??= "1.22.0"
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PREFERRED_VERSION_python3-flatbuffers:mx95-nxp-bsp ??= "24.3.25"
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PREFERRED_VERSION_tensorflow-lite-host-tools-native:mx95-nxp-bsp ??= "2.19.0"
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PREFERRED_VERSION_tensorflow-lite-host-tools:mx95-nxp-bsp ??= "2.19.0"
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PREFERRED_VERSION_tensorflow-lite-neutron-delegate:mx95-nxp-bsp ??= "2.19.0"
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PREFERRED_VERSION_tensorflow-lite:mx95-nxp-bsp ??= "2.19.0"
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EXTRA_IMAGEDEPENDS += "u-boot"
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# Do not update fstab file when using wic images
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@ -0,0 +1,39 @@
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From 6cb4d671a88e054744ce3029df9e733dc724ee76 Mon Sep 17 00:00:00 2001
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From: Derek Bailey <dbaileychess@gmail.com>
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Date: Mon, 19 Aug 2024 16:08:46 -0700
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Subject: [PATCH] Fixes LICENSE file in python
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Fixes: #8376
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Upstream-Status: Backport [https://github.com/google/flatbuffers/commit/6cb4d671a88e054744ce3029df9e733dc724ee76]
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---
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python/setup.cfg | 2 +-
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python/setup.py | 1 -
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2 files changed, 1 insertion(+), 2 deletions(-)
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diff --git a/python/setup.cfg b/python/setup.cfg
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index e3647037..0c43b1cf 100644
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--- a/python/setup.cfg
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+++ b/python/setup.cfg
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@@ -3,4 +3,4 @@ universal=1
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[metadata]
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license_files =
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- ../license
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\ No newline at end of file
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+ ../LICENSE
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\ No newline at end of file
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diff --git a/python/setup.py b/python/setup.py
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index 065b2754..21ddecb9 100644
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--- a/python/setup.py
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+++ b/python/setup.py
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@@ -18,7 +18,6 @@ setup(
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name='flatbuffers',
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version='24.3.25',
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license='Apache 2.0',
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- license_files='../LICENSE',
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author='Derek Bailey',
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author_email='derekbailey@google.com',
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url='https://google.github.io/flatbuffers/',
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--
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2.34.1
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@ -0,0 +1,7 @@
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Name: flatbuffers
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Description: memory efficient serialization library
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Version: @version@
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Requires:
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Libs: -L@libdir@ -lflatbuffers
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Cflags: -I@includedir@
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@ -0,0 +1,10 @@
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FILESEXTRAPATHS:prepend := "${THISDIR}/files:"
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SRC_URI:append = " file://flatbuffers.pc.in"
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do_install:append() {
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install -D -m 0644 ${WORKDIR}/flatbuffers.pc.in ${D}${libdir}/pkgconfig/flatbuffers.pc
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sed -i 's:@version@:${PV}:g
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s:@libdir@:${libdir}:g
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s:@includedir@:${includedir}:g' ${D}${libdir}/pkgconfig/flatbuffers.pc
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}
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@ -0,0 +1,34 @@
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SUMMARY = "Memory Efficient Serialization Library"
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HOMEPAGE = "https://github.com/google/flatbuffers"
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SECTION = "console/tools"
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LICENSE = "Apache-2.0"
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PACKAGE_BEFORE_PN = "${PN}-compiler"
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DEPENDS = "flatbuffers-native"
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RDEPENDS:${PN}-compiler = "${PN}"
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RDEPENDS:${PN}-${PYTHON_PN} = "${PN}"
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RDEPENDS:${PN}-dev += "${PN}-compiler"
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LIC_FILES_CHKSUM = "file://LICENSE;md5=3b83ef96387f14655fc854ddc3c6bd57"
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SRCREV = "e6463926479bd6b330cbcf673f7e917803fd5831"
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SRC_URI = "git://github.com/google/flatbuffers.git;branch=master;protocol=https"
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CVE_CHECK_IGNORE += "CVE-2020-35864"
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EXTRA_OECMAKE += "\
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-DFLATBUFFERS_BUILD_TESTS=OFF \
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-DFLATBUFFERS_BUILD_SHAREDLIB=ON \
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"
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EXTRA_OECMAKE:append:class-target = " -DFLATBUFFERS_FLATC_EXECUTABLE=${STAGING_BINDIR_NATIVE}/flatc"
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inherit cmake python3native
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S = "${WORKDIR}/git"
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FILES:${PN}-compiler = "${bindir}"
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BBCLASSEXTEND = "native nativesdk"
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@ -0,0 +1,16 @@
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SUMMARY = "Memory Efficient Serialization Library - Python3 Modules"
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HOMEPAGE = "https://github.com/google/flatbuffers"
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SECTION = "console/tools"
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LICENSE = "Apache-2.0"
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LIC_FILES_CHKSUM = "file://../LICENSE;md5=3b83ef96387f14655fc854ddc3c6bd57"
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SRCREV = "e6463926479bd6b330cbcf673f7e917803fd5831"
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SRC_URI = "git://github.com/google/flatbuffers.git;branch=master;protocol=https \
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file://0001-Fixes-LICENSE-file-in-python.patch"
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S = "${WORKDIR}/git/python"
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RDEPENDS:${PN} = "flatbuffers"
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PATCHTOOL = "git"
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inherit setuptools3
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@ -0,0 +1,8 @@
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require recipes-libraries/neutron/neutron_1.0.0.bb
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LIC_FILES_CHKSUM = "file://LICENSE.txt;md5=bc649096ad3928ec06a8713b8d787eac"
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SRC_URI = "${NEUTRON_SRC};branch=${SRCBRANCH}"
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NEUTRON_SRC ?= "git://github.com/nxp-imx/neutron.git;protocol=https"
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SRCBRANCH = "lf-6.12.49_2.2.0"
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SRCREV = "a7d5f17a9210c45aef2bbc9dc09d637f41fd3a7c"
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@ -0,0 +1,203 @@
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# Copyright 2020-2025 NXP
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DESCRIPTION = "cross-platform, high performance scoring engine for ML models"
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SECTION = "devel"
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LICENSE = "MIT & Apache-2.0"
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LIC_FILES_CHKSUM_runtime = "file://LICENSE;md5=0f7e3b1308cb5c00b372a6e78835732d"
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LIC_FILES_CHKSUM_model = "file://${S}/example-models/squeezenet/LICENSE;md5=3b83ef96387f14655fc854ddc3c6bd57"
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LIC_FILES_CHKSUM = "${LIC_FILES_CHKSUM_runtime} ${LIC_FILES_CHKSUM_model}"
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DEPENDS = "libpng zlib"
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inherit setuptools3
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SRC_URI = "${ONNXRUNTIME_SRC};branch=${SRCBRANCH}"
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ONNXRUNTIME_SRC ?= "gitsm://github.com/nxp-imx/onnxruntime-imx.git;protocol=https"
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SRCBRANCH = "lf-6.12.49_2.2.0"
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SRCREV = "2ef0bb77e4b886c1d075b2bbc4ce0dc5b60c268b"
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S = "${WORKDIR}/git"
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inherit cmake python3native
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OECMAKE_SOURCEPATH = "${S}/cmake"
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OECMAKE_GENERATOR = "Unix Makefiles"
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# Notes:
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# Abseil:
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# - FETCHCONTENT_FULLY_DISCONNECTED=OFF and do_configure:prepend() added to allow
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# abseil build process (the issue was related to CMake not fetching sources)
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EXTRA_OECMAKE += "\
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-DFETCHCONTENT_FULLY_DISCONNECTED=OFF \
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-DCMAKE_BUILD_TYPE=RelWithDebInfo \
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-Donnxruntime_BUILD_UNIT_TESTS=ON \
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-DCMAKE_VERBOSE_MAKEFILE:BOOL=ON \
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"
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PYTHON_DEPENDS = "\
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${PYTHON_PN} \
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${PYTHON_PN}-pip-native \
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${PYTHON_PN}-numpy \
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${PYTHON_PN}-numpy-native \
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${PYTHON_PN}-packaging-native\
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${PYTHON_PN}-pybind11\
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${PYTHON_PN}-pybind11-native\
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"
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PYTHON_RDEPENDS = "\
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${PYTHON_PN} \
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${PYTHON_PN}-numpy \
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${PYTHON_PN}-protobuf \
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${PYTHON_PN}-coloredlogs \
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${PYTHON_PN}-flatbuffers \
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${PYTHON_PN}-sympy \
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"
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PACKAGECONFIG ?= "crosscompiling sharedlib python kleidiai ${PACKAGECONFIG_NPU}"
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PACKAGECONFIG_NPU = ""
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PACKAGECONFIG_NPU:mx95-nxp-bsp = "neutron"
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PACKAGECONFIG_NPU:mx943-nxp-bsp = "neutron"
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PACKAGECONFIG_NPU:mx8-nxp-bsp:imxgpu = "vsinpu"
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PACKAGECONFIG_NPU:mx8mm-nxp-bsp = ""
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PACKAGECONFIG[nsync] = "-Donnxruntime_USE_NSYNC=ON, -Donnxruntime_USE_NSYNC=OFF"
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PACKAGECONFIG[prebuilt] = "-Donnxruntime_USE_PREBUILT_PB=ON, -Donnxruntime_USE_PREBUILT_PB=OFF"
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PACKAGECONFIG[openmp] = "-Donnxruntime_USE_OPENMP=ON, -Donnxruntime_USE_OPENMP=OFF"
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PACKAGECONFIG[trt] = "-Donnxruntime_USE_TRT=ON, -Donnxruntime_USE_TRT=OFF"
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PACKAGECONFIG[nuphar] = "-Donnxruntime_USE_NUPHAR=ON, -Donnxruntime_USE_NUPHAR=OFF"
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PACKAGECONFIG[brainslice] = "-Donnxruntime_USE_BRAINSLICE=ON, -Donnxruntime_USE_BRAINSLICE=OFF"
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PACKAGECONFIG[python] = "-Donnxruntime_ENABLE_PYTHON=ON, -Donnxruntime_ENABLE_PYTHON=OFF, ${PYTHON_DEPENDS}, ${PYTHON_RDEPENDS}"
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PACKAGECONFIG[sharedlib] = "-Donnxruntime_BUILD_SHARED_LIB=ON, -Donnxruntime_BUILD_SHARED_LIB=OFF"
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PACKAGECONFIG[eigenblas] = "-Donnxruntime_USE_EIGEN_FOR_BLAS=ON, -Donnxruntime_USE_EIGEN_FOR_BLAS=OFF"
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PACKAGECONFIG[openblas] = "-Donnxruntime_USE_OPENBLAS=ON, -Donnxruntime_USE_OPENBLAS=OFF"
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PACKAGECONFIG[dnnl] = "-Donnxruntime_USE_DNNL=ON, -Donnxruntime_USE_DNNL=OFF"
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PACKAGECONFIG[mklml] = "-Donnxruntime_USE_MKLML=ON, -Donnxruntime_USE_MKLML=OFF"
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PACKAGECONFIG[gemmlowp] = "-Donnxruntime_USE_GEMMLOWP=ON, -Donnxruntime_USE_GEMMLOWP=OFF"
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PACKAGECONFIG[ngraph] = "-Donnxruntime_USE_NGRAPH=ON, -Donnxruntime_USE_NGRAPH=OFF"
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PACKAGECONFIG[openvino] = "-Donnxruntime_USE_OPENVINO=ON, -Donnxruntime_USE_OPENVINO=OFF"
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PACKAGECONFIG[interop] = "-Donnxruntime_ENABLE_LANGUAGE_INTEROP_OPS=ON, -Donnxruntime_ENABLE_LANGUAGE_INTEROP_OPS=OFF"
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PACKAGECONFIG[dml] = "-Donnxruntime_USE_DML=ON, -Donnxruntime_USE_DML=OFF"
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PACKAGECONFIG[telemetry] = "-Donnxruntime_USE_TELEMETRY=ON, -Donnxruntime_USE_TELEMETRY=OFF"
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PACKAGECONFIG[armnn-relu] = "-Donnxruntime_ARMNN_RELU_USE_CPU=ON, -Donnxruntime_ARMNN_RELU_USE_CPU=OFF"
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PACKAGECONFIG[armnn-bn] = "-Donnxruntime_ARMNN_BN_USE_CPU=ON, -Donnxruntime_ARMNN_BN_USE_CPU=OFF"
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PACKAGECONFIG[opschema] = "-Donnxruntime_PYBIND_EXPORT_OPSCHEMA=ON, -Donnxruntime_PYBIND_EXPORT_OPSCHEMA=OFF"
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PACKAGECONFIG[nnapi] = "-Donnxruntime_USE_NNAPI_BUILTIN=ON, -Donnxruntime_USE_NNAPI_BUILTIN=OFF"
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PACKAGECONFIG[tvm] = "-Donnxruntime_USE_TVM=ON, -Donnxruntime_USE_TVM=OFF"
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PACKAGECONFIG[llvm] = "-Donnxruntime_USE_LLVM=ON, -Donnxruntime_USE_LLVM=OFF"
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PACKAGECONFIG[microsoft] = "-Donnxruntime_ENABLE_MICROSOFT_INTERNAL=ON, -Donnxruntime_ENABLE_MICROSOFT_INTERNAL=OFF"
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PACKAGECONFIG[eigenthreadpool] = "-Donnxruntime_USE_EIGEN_THREADPOOL=ON, -Donnxruntime_USE_EIGEN_THREADPOOL=OFF"
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PACKAGECONFIG[tensorrt] = "-Donnxruntime_USE_TENSORRT=ON, -Donnxruntime_USE_TENSORRT=OFF"
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PACKAGECONFIG[crosscompiling] = "-Donnxruntime_CROSS_COMPILING=ON, -Donnxruntime_CROSS_COMPILING=OFF "
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PACKAGECONFIG[server] = "-Donnxruntime_BUILD_SERVER=ON, -Donnxruntime_BUILD_SERVER=OFF"
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PACKAGECONFIG[x86] = "-Donnxruntime_BUILD:x86=ON, -Donnxruntime_BUILD:x86=OFF"
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PACKAGECONFIG[fullprotobuf] = "-Donnxruntime_USE_FULL_PROTOBUF=ON, -Donnxruntime_USE_FULL_PROTOBUF=OFF"
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PACKAGECONFIG[ops] = "-Donnxruntime_DISABLE_CONTRIB_OPS=ON, -Donnxruntime_DISABLE_CONTRIB_OPS=OFF"
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PACKAGECONFIG[staticruntime] = "-Donnxruntime_MSVC_STATIC_RUNTIME=ON, -Donnxruntime_MSVC_STATIC_RUNTIME=OFF"
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PACKAGECONFIG[runtests] = "-Donnxruntime_RUN_ONNX_TESTS=ON, -Donnxruntime_RUN_ONNX_TESTS=OFF"
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PACKAGECONFIG[reports] = "-Donnxruntime_GENERATE_TEST_REPORTS=ON, -Donnxruntime_GENERATE_TEST_REPORTS=OFF"
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PACKAGECONFIG[devmode] = "-Donnxruntime_DEV_MODE=ON, -Donnxruntime_DEV_MODE=OFF"
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PACKAGECONFIG[cuda] = "-Donnxruntime_USE_CUDA=ON, -Donnxruntime_USE_CUDA=OFF"
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PACKAGECONFIG[automl] = "-Donnxruntime_USE_AUTOML=ON, -Donnxruntime_USE_AUTOML=OFF"
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PACKAGECONFIG[jemalloc] = "-Donnxruntime_USE_JEMALLOC=ON, -Donnxruntime_USE_JEMALLOC=OFF"
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PACKAGECONFIG[mimalloc] = "-Donnxruntime_USE_MIMALLOC=ON, -Donnxruntime_USE_MIMALLOC=OFF"
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PACKAGECONFIG[csharp] = "-Donnxruntime_BUILD_CSHARP=ON, -Donnxruntime_BUILD_CSHARP=OFF"
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PACKAGECONFIG[java] = "-Donnxruntime_BUILD_JAVA=ON, -Donnxruntime_BUILD_JAVA=OFF"
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PACKAGECONFIG[kleidiai] = "-Donnxruntime_USE_KLEIDIAI=ON, -Donnxruntime_USE_KLEIDIAI=OFF"
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PACKAGECONFIG[neutron] = "-Donnxruntime_USE_NEUTRON=ON, -Donnxruntime_USE_NEUTRON=OFF, neutron nlohmann-json"
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PACKAGECONFIG[vsinpu] = "-Donnxruntime_USE_VSINPU=ON, -Donnxruntime_USE_VSINPU=OFF, tim-vx"
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do_configure[network] = "1"
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do_configure:prepend() {
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export HTTP_PROXY=${http_proxy}
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export HTTPS_PROXY=${https_proxy}
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export http_proxy=${http_proxy}
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export https_proxy=${https_proxy}
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}
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do_compile[network] = "1"
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do_compile:prepend() {
|
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if ${@bb.utils.contains('PACKAGECONFIG', 'python', 'true', 'false', d)}; then
|
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# required to pull pybind11
|
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export HTTP_PROXY=${http_proxy}
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export HTTPS_PROXY=${https_proxy}
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export http_proxy=${http_proxy}
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export https_proxy=${https_proxy}
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||||
fi
|
||||
}
|
||||
|
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SETUPTOOLS_SETUP_PATH = "${B}"
|
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|
||||
do_compile:append() {
|
||||
if ${@bb.utils.contains('PACKAGECONFIG', 'python', 'true', 'false', d)}; then
|
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# Copy 'setup.py' to build dir
|
||||
cp ${S}/setup.py ${B}
|
||||
|
||||
cp -r ${S}/onnxruntime/python ${B}/onnxruntime/
|
||||
|
||||
# Copy path file with path 'docs/python/README.rst' to build dir
|
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mkdir -p ${B}/docs/python && cp ${S}/docs/python/README.rst ${B}/docs/python
|
||||
|
||||
setuptools3_do_compile
|
||||
|
||||
git config --global --add safe.directory ${WORKDIR}/build/pybind11/src/pybind11
|
||||
fi
|
||||
}
|
||||
|
||||
do_install:append() {
|
||||
CP_ARGS="-Prf --preserve=mode,timestamps --no-preserve=ownership"
|
||||
|
||||
# Ensure target dir exists
|
||||
install -d ${D}${bindir}/${BP}
|
||||
|
||||
# Copy squeezenet updated model from onnxruntime-imx repo
|
||||
if [ -d ${S}/example-models/ ]; then
|
||||
cp $CP_ARGS ${S}/example-models/squeezenet ${D}${bindir}/${BP}/
|
||||
fi
|
||||
|
||||
# Copy label_image_onnx.py tool from onnxruntime-imx repo
|
||||
cp ${S}/onnxruntime/core/providers/neutron/tools/label_image_onnx.py ${D}${bindir}/${BP}/
|
||||
|
||||
# If cmake installs 'onnx_test_runner' at bindir level, move to package
|
||||
if [ -f ${D}${bindir}/onnx_test_runner ]; then
|
||||
mv ${D}${bindir}/onnx_test_runner ${D}${bindir}/${BP}/
|
||||
fi
|
||||
|
||||
# Install onnxruntime_perf_test in main package
|
||||
install -m 0755 ${B}/onnxruntime_perf_test ${D}${bindir}/${BP}
|
||||
|
||||
# Install test binaries and data in test package
|
||||
install -d ${D}${bindir}/${BP}/tests
|
||||
install -m 0744 ${B}/libcustom_op_library.so ${D}${bindir}/${BP}/tests
|
||||
install -m 0744 ${B}/onnxruntime_global_thread_pools_test ${D}${bindir}/${BP}/tests
|
||||
install -m 0744 ${B}/onnxruntime_mlas_test ${D}${bindir}/${BP}/tests
|
||||
install -m 0744 ${B}/onnxruntime_shared_lib_test ${D}${bindir}/${BP}/tests
|
||||
install -m 0744 ${B}/onnxruntime_test_all ${D}${bindir}/${BP}/tests
|
||||
cp $CP_ARGS ${B}/testdata ${D}${bindir}/${BP}/tests
|
||||
|
||||
if ${@bb.utils.contains('PACKAGECONFIG', 'python', 'true', 'false', d)}; then
|
||||
setuptools3_do_install
|
||||
find ${D}/${PYTHON_SITEPACKAGES_DIR} -type d -name "__pycache__" -exec rm -Rf {} +
|
||||
git config --global --unset-all safe.directory ${TMPDIR}/.*/${PN}/.*/build/pybind11/src/pybind11
|
||||
fi
|
||||
rm ${D}/${PYTHON_SITEPACKAGES_DIR}/${PN}/capi/libonnxruntime.so*
|
||||
}
|
||||
|
||||
# Make the package arch SOC-specific since the recipe now builds with SOC-specific configuration:
|
||||
PACKAGE_ARCH = "${MACHINE_SOCARCH}"
|
||||
|
||||
# Adjust the Python runtime dependency inherited from setuptools3-base.bbclass
|
||||
# since Python support for this recipe is conditional
|
||||
RDEPENDS:${PN}:remove:class-target = " \
|
||||
${@bb.utils.contains('PACKAGECONFIG', 'python', '', '${PYTHON_PN}-core', d)}"
|
||||
|
||||
# libonnxruntime_providers_shared.so is being packaged into -dev which is intended
|
||||
INSANE_SKIP:${PN}-dev += "dev-elf"
|
||||
|
||||
# A separate tests package for the test binaries not appearing in the main package
|
||||
PACKAGE_BEFORE_PN = "${PN}-tests"
|
||||
FILES:${PN}-tests = "${bindir}/${BP}/tests/*"
|
||||
|
||||
# libcustom_op_library.so is in bindir, which is intended;
|
||||
# onnxruntime_shared_lib_test requires the shlib to be in the same directory as testdata to run properly
|
||||
INSANE_SKIP:${PN}-tests += "libdir"
|
||||
INSANE_SKIP:${PN}-dbg += "libdir"
|
||||
|
|
@ -0,0 +1,5 @@
|
|||
# Copyright 2020-2025 NXP
|
||||
|
||||
TENSORFLOW_LITE_SRC ?= "git://github.com/nxp-imx/tensorflow-imx.git;protocol=https"
|
||||
SRCBRANCH_tf = "lf-6.12.49_2.2.0"
|
||||
SRCREV_tf = "c6f244fe303bd5170fdd6b8d570fc0e3282fd38b"
|
||||
|
|
@ -0,0 +1,29 @@
|
|||
# Copyright 2022-2025 NXP
|
||||
DESCRIPTION = "Host tools required for build of TensorFlow Lite C++ Library unit tests and Evaluation Tools"
|
||||
LICENSE = "Apache-2.0"
|
||||
LIC_FILES_CHKSUM = "file://LICENSE;md5=4158a261ca7f2525513e31ba9c50ae98"
|
||||
|
||||
require tensorflow-lite-${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=${https_proxy}
|
||||
}
|
||||
|
|
@ -0,0 +1,65 @@
|
|||
# Copyright 2023-2025 NXP
|
||||
DESCRIPTION = "TensorFlow Lite Neutron Delegate"
|
||||
LICENSE = "Apache-2.0"
|
||||
LIC_FILES_CHKSUM = "file://LICENSE.txt;md5=86d3f3a95c324c9479bd8986968f4327"
|
||||
|
||||
DEPENDS = "tensorflow-lite neutron tensorflow-lite-host-tools-native"
|
||||
|
||||
require tensorflow-lite-${PV}.inc
|
||||
|
||||
NEUTRON_DELEGATE_SRC ?= "git://github.com/nxp-imx/tflite-neutron-delegate.git;protocol=https"
|
||||
SRCBRANCH_neutron = "lf-6.12.49_2.2.0"
|
||||
SRCREV_neutron = "f24d08e5e1d461e669ece3c476c6dd340ce355cb"
|
||||
|
||||
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 \
|
||||
-DTFLITE_HOST_TOOLS_DIR=${STAGING_BINDIR_NATIVE} \
|
||||
-DFETCHCONTENT_SOURCE_DIR_TENSORFLOW=${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 = ""
|
||||
|
||||
# Work around do_package_qa error
|
||||
INSANE_SKIP:${PN} += "buildpaths rpaths"
|
||||
|
||||
COMPATIBLE_MACHINE = "(mx943-nxp-bsp|mx95-nxp-bsp)"
|
||||
|
|
@ -0,0 +1,150 @@
|
|||
# Copyright 2020-2025 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.sha256sum] = "d32432d28673a936b2d6281ab0600c71cf7226dfe4cdcef3012555f691744166"
|
||||
|
||||
S = "${WORKDIR}/git"
|
||||
|
||||
inherit python3native cmake
|
||||
|
||||
PACKAGECONFIG ??= "python-example ${PACKAGECONFIG_GPU_DELEGATE}"
|
||||
PACKAGECONFIG_GPU_DELEGATE = ""
|
||||
PACKAGECONFIG_GPU_DELEGATE:mx95-nxp-bsp = "gpu-delegate"
|
||||
|
||||
PACKAGECONFIG[gpu-delegate] = "-DTFLITE_ENABLE_GPU=on,-DTFLITE_ENABLE_GPU=off"
|
||||
PACKAGECONFIG[python-example] = ",,,python3-pillow"
|
||||
|
||||
EXTRA_OECMAKE = " \
|
||||
-DCMAKE_SYSROOT=${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 \
|
||||
${S}/tensorflow/lite/ \
|
||||
"
|
||||
EXTRA_OECMAKE_BUILD = "benchmark_model label_image"
|
||||
|
||||
CXXFLAGS += "-fPIC"
|
||||
|
||||
|
||||
do_configure[network] = "1"
|
||||
do_configure:prepend() {
|
||||
export HTTP_PROXY=${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 -d ${D}${includedir}/tensorflow/compiler/mlir/lite
|
||||
cd ${S}/tensorflow/compiler/mlir/lite
|
||||
cp --parents \
|
||||
$(find . -name "*.h*") \
|
||||
${D}${includedir}/tensorflow/compiler/mlir/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
|
||||
if ${@bb.utils.contains('PACKAGECONFIG', 'python-example', 'true', 'false', d)}; then
|
||||
cp ${S}/tensorflow/lite/examples/python/label_image.py ${D}${bindir}/${PN}-${PV}/examples
|
||||
fi
|
||||
|
||||
# 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 \
|
||||
${RDEPENDS_OPENCL} \
|
||||
"
|
||||
RDEPENDS_OPENCL = "opencl-icd-loader-dev"
|
||||
RDEPENDS_OPENCL:mx8mm-nxp-bsp = ""
|
||||
|
||||
INSANE_SKIP:${PN} += "dev-deps"
|
||||
|
||||
# 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:${PN} += " \
|
||||
already-stripped \
|
||||
staticdev \
|
||||
buildpaths \
|
||||
"
|
||||
|
||||
FILES:${PN} += "${libdir}/python*"
|
||||
|
|
@ -0,0 +1,26 @@
|
|||
SUMMARY = "NNStreamer-Edge library"
|
||||
DESCRIPTION = "Remote source nodes for NNStreamer pipelines without GStreamer dependencies"
|
||||
LICENSE = "Apache-2.0"
|
||||
LIC_FILES_CHKSUM = "file://LICENSE;md5=095e13fef457e259d3bc155d0ed859f1"
|
||||
|
||||
DEPENDS = "\
|
||||
gtest \
|
||||
"
|
||||
|
||||
NNS_EDGE_SRC ?= "git://github.com/nnstreamer/nnstreamer-edge.git;protocol=https"
|
||||
SRCBRANCH = "prod/tizen-9.0"
|
||||
SRCREV = "e73acb740dce3ecbf8a650f45fab790afb400a95"
|
||||
SRC_URI = "${NNS_EDGE_SRC};branch=${SRCBRANCH}"
|
||||
|
||||
S = "${WORKDIR}/git"
|
||||
|
||||
inherit cmake pkgconfig
|
||||
|
||||
EXTRA_OECMAKE = " \
|
||||
-DENABLE_TEST=ON \
|
||||
"
|
||||
|
||||
# The build produces a mix of versioned and unversioned libs, so custom packaging is required
|
||||
FILES_SOLIBSDEV:remove = "${libdir}/lib*${SOLIBSDEV}"
|
||||
FILES:${PN} += "${libdir}/libnnstreamer-edge-custom-test${SOLIBSDEV}"
|
||||
FILES:${PN}-dev += "${libdir}/libnnstreamer-edge${SOLIBSDEV}"
|
||||
|
|
@ -0,0 +1,63 @@
|
|||
From fd05c3f40c9ae1bdf2e05fc3581a00ec967fb9e3 Mon Sep 17 00:00:00 2001
|
||||
From: Nicolas Goueslain <nicolas.goueslain@nxp.com>
|
||||
Date: Wed, 23 Jul 2025 12:28:07 +0000
|
||||
Subject: [PATCH] AIR-11938: tensor-filter-use-memcpy-ethosu-delegate
|
||||
|
||||
Upstream-Status: Inappropriate [i.MX specific]
|
||||
|
||||
Signed-off-by: Nicolas Goueslain <nicolas.goueslain@nxp.com>
|
||||
---
|
||||
.../tensor_filter/tensor_filter_tensorflow_lite.cc | 9 +++++++--
|
||||
1 file changed, 7 insertions(+), 2 deletions(-)
|
||||
|
||||
diff --git a/ext/nnstreamer/tensor_filter/tensor_filter_tensorflow_lite.cc b/ext/nnstreamer/tensor_filter/tensor_filter_tensorflow_lite.cc
|
||||
index 95ab68c6..86879932 100644
|
||||
--- a/ext/nnstreamer/tensor_filter/tensor_filter_tensorflow_lite.cc
|
||||
+++ b/ext/nnstreamer/tensor_filter/tensor_filter_tensorflow_lite.cc
|
||||
@@ -244,6 +244,7 @@ class TFLiteInterpreter
|
||||
char *model_path;
|
||||
bool is_cached_after_first_invoke; /**< To cache again after first invoke */
|
||||
bool is_xnnpack_delegated; /**< To check if XNNPACK delegate is used */
|
||||
+ bool is_ethosu_delegated;
|
||||
char *ext_delegate_path; /**< path to external delegate lib */
|
||||
GHashTable *ext_delegate_kv_table; /**< external delegate key values options */
|
||||
QNNBackendType qnn_backend_type; /**< QNN Delegate backend type */
|
||||
@@ -332,6 +333,7 @@ TFLiteInterpreter::TFLiteInterpreter ()
|
||||
|
||||
is_cached_after_first_invoke = false;
|
||||
is_xnnpack_delegated = false;
|
||||
+ is_ethosu_delegated = false;
|
||||
}
|
||||
|
||||
/**
|
||||
@@ -366,7 +368,7 @@ TFLiteInterpreter::invoke (const GstTensorMemory *input, GstTensorMemory *output
|
||||
* Therefore tensor data is to be manually copied from/to input/output
|
||||
* GStreamer buffers memory whose address changes at every round.
|
||||
*/
|
||||
- if (is_xnnpack_delegated) {
|
||||
+ if (is_xnnpack_delegated || is_ethosu_delegated) {
|
||||
for (unsigned int i = 0; i < inputTensorMeta.num_tensors; ++i) {
|
||||
tensor_ptr = inputTensorPtr[i];
|
||||
g_assert (tensor_ptr->bytes == input[i].size);
|
||||
@@ -395,7 +397,7 @@ TFLiteInterpreter::invoke (const GstTensorMemory *input, GstTensorMemory *output
|
||||
* After the very first invoke, the output buffer address may change.
|
||||
* To handle the case, memcpy the output buffer directly.
|
||||
*/
|
||||
- if (is_xnnpack_delegated || !is_cached_after_first_invoke) {
|
||||
+ if (is_xnnpack_delegated || is_ethosu_delegated || !is_cached_after_first_invoke) {
|
||||
for (unsigned int i = 0; i < outputTensorMeta.num_tensors; ++i) {
|
||||
tensor_ptr = outputTensorPtr[i];
|
||||
g_assert (tensor_ptr->bytes == output[i].size);
|
||||
@@ -555,6 +557,9 @@ TFLiteInterpreter::loadModel (int num_threads, tflite_delegate_e delegate_e)
|
||||
|
||||
options = TfLiteExternalDelegateOptionsDefault (ext_delegate_path);
|
||||
|
||||
+ if (strcmp(ext_delegate_path, "libethosu_delegate.so") == 0){
|
||||
+ is_ethosu_delegated = true;
|
||||
+ }
|
||||
/* Add optional key values to delegate configuration */
|
||||
if (ext_delegate_kv_table) {
|
||||
GHashTable *table = ext_delegate_kv_table;
|
||||
--
|
||||
2.34.1
|
||||
|
||||
|
|
@ -0,0 +1,33 @@
|
|||
From 68ed0ca853338c9436d5047777f3f395c0f2c5b2 Mon Sep 17 00:00:00 2001
|
||||
From: Nolann Chobert <nolann.chobert@nxp.com>
|
||||
Date: Mon, 28 Jul 2025 16:00:19 +0000
|
||||
Subject: [PATCH] Fix libnnstreamer_customfilter_passthrough.so path
|
||||
|
||||
Custom filter path is set to Yocto build path which will trigger an error on target.
|
||||
The appropriate path is /usr/lib/nnstreamer/customfilters/libnnstreamer_customfilter_passthrough.so.
|
||||
|
||||
Upstream-Status: Inappropriate [i.MX specific]
|
||||
|
||||
Signed-off-by: Nolann Chobert <nolann.chobert@nxp.com>
|
||||
---
|
||||
tests/nnstreamer_filter_extensions_common/meson.build | 4 +++-
|
||||
1 file changed, 3 insertions(+), 1 deletion(-)
|
||||
|
||||
diff --git a/tests/nnstreamer_filter_extensions_common/meson.build b/tests/nnstreamer_filter_extensions_common/meson.build
|
||||
index ecd1878b..eba2cc83 100644
|
||||
--- a/tests/nnstreamer_filter_extensions_common/meson.build
|
||||
+++ b/tests/nnstreamer_filter_extensions_common/meson.build
|
||||
@@ -9,7 +9,9 @@ tizen_apptest_deps = [
|
||||
# Format for adding subplugin into extensions -
|
||||
# [name, extension abbreviation, dependencies, model file name/folder path/file path, test name]
|
||||
extensions = []
|
||||
-custom_filter_path = join_paths(meson.build_root(), 'tests', 'nnstreamer_example',
|
||||
+nnst_prefix = get_option('prefix')
|
||||
+nnst_libdir = join_paths(nnst_prefix, get_option('libdir'))
|
||||
+custom_filter_path = join_paths(nnst_libdir, 'nnstreamer', 'customfilters',
|
||||
'libnnstreamer_customfilter_passthrough.' + so_ext)
|
||||
extensions += [['custom', 'custom', nnstreamer_unittest_deps, custom_filter_path, 'custom']]
|
||||
extensions += [['custom', 'custom', nnstreamer_unittest_deps, custom_filter_path, 'custom-set']]
|
||||
--
|
||||
2.34.1
|
||||
|
||||
|
|
@ -0,0 +1,125 @@
|
|||
From e7585fe374349fb6e022c7515271a2ca475015b2 Mon Sep 17 00:00:00 2001
|
||||
From: Nolann Chobert <nolann.chobert@nxp.com>
|
||||
Date: Thu, 16 Oct 2025 17:39:33 +0200
|
||||
Subject: [PATCH] [Filter/TFLite] Fix to provide default delegates
|
||||
|
||||
Some external delegates might need to access default delegates such as
|
||||
XNNPACK to accelerate unsupported operations.
|
||||
|
||||
Upstream-Status: Pending
|
||||
Signed-off-by: Nolann Chobert <nolann.chobert@nxp.com>
|
||||
---
|
||||
.../tensor_filter_tensorflow_lite.cc | 41 ++++++++++++-------
|
||||
1 file changed, 26 insertions(+), 15 deletions(-)
|
||||
|
||||
diff --git a/ext/nnstreamer/tensor_filter/tensor_filter_tensorflow_lite.cc b/ext/nnstreamer/tensor_filter/tensor_filter_tensorflow_lite.cc
|
||||
index 95ab68c6..d293e78c 100644
|
||||
--- a/ext/nnstreamer/tensor_filter/tensor_filter_tensorflow_lite.cc
|
||||
+++ b/ext/nnstreamer/tensor_filter/tensor_filter_tensorflow_lite.cc
|
||||
@@ -98,13 +98,6 @@
|
||||
#define TFLITE_SUBPLUGIN_NAME "tensorflow-lite"
|
||||
#endif
|
||||
|
||||
-/**
|
||||
- * @brief prevent usage by TFLite of default delegates that may not be supported
|
||||
- */
|
||||
-#if TFLITE_VERSION_MAJOR >= 2 && TFLITE_VERSION_MINOR >= 4
|
||||
-#define TFLITE_RESOLVER_WITHOUT_DEFAULT_DELEGATES
|
||||
-#endif
|
||||
-
|
||||
/**
|
||||
* @brief Macro for debug mode.
|
||||
*/
|
||||
@@ -157,6 +150,7 @@ typedef struct {
|
||||
GHashTable *ext_delegate_kv_table; /**< external delegate key values options */
|
||||
QNNBackendType qnn_backend_type; /**< QNN Delegate backend type */
|
||||
QNNPerformanceMode qnn_performance_mode; /**< QNN Delegate performance mode */
|
||||
+ bool use_default_delegates; /**< whether to use default delegates in resolver */
|
||||
} tflite_option_s;
|
||||
|
||||
/**
|
||||
@@ -197,6 +191,10 @@ class TFLiteInterpreter
|
||||
void setModelPath (const char *model_path);
|
||||
void setExtDelegate (const char *lib_path, GHashTable *key_val);
|
||||
void getExtDelegate (const char **lib_path, GHashTable **key_val);
|
||||
+ void setUseDefaultDelegates (gboolean use_default)
|
||||
+ {
|
||||
+ use_default_delegates = use_default;
|
||||
+ }
|
||||
/** @brief get current model path */
|
||||
const char *getModelPath ()
|
||||
{
|
||||
@@ -248,6 +246,7 @@ class TFLiteInterpreter
|
||||
GHashTable *ext_delegate_kv_table; /**< external delegate key values options */
|
||||
QNNBackendType qnn_backend_type; /**< QNN Delegate backend type */
|
||||
QNNPerformanceMode qnn_performance_mode; /**< QNN Delegate performance mode */
|
||||
+ bool use_default_delegates; /**< whether to use default delegates in resolver */
|
||||
|
||||
std::unique_ptr<tflite::Interpreter> interpreter;
|
||||
std::unique_ptr<tflite::FlatBufferModel> model;
|
||||
@@ -324,6 +323,7 @@ TFLiteInterpreter::TFLiteInterpreter ()
|
||||
ext_delegate_kv_table = nullptr;
|
||||
qnn_backend_type = QNN_BACKEND_UNDEFINED;
|
||||
qnn_performance_mode = QNN_PERFMODE_Default;
|
||||
+ use_default_delegates = FALSE;
|
||||
|
||||
g_mutex_init (&mutex);
|
||||
|
||||
@@ -460,12 +460,14 @@ TFLiteInterpreter::loadModel (int num_threads, tflite_delegate_e delegate_e)
|
||||
|
||||
interpreter = nullptr;
|
||||
|
||||
-#ifdef TFLITE_RESOLVER_WITHOUT_DEFAULT_DELEGATES
|
||||
- tflite::ops::builtin::BuiltinOpResolverWithoutDefaultDelegates resolver;
|
||||
-#else
|
||||
- tflite::ops::builtin::BuiltinOpResolver resolver;
|
||||
-#endif
|
||||
- tflite::InterpreterBuilder (*model, resolver) (&interpreter);
|
||||
+ if (use_default_delegates) {
|
||||
+ tflite::ops::builtin::BuiltinOpResolver resolver;
|
||||
+ tflite::InterpreterBuilder (*model, resolver) (&interpreter);
|
||||
+ } else {
|
||||
+ tflite::ops::builtin::BuiltinOpResolverWithoutDefaultDelegates resolver;
|
||||
+ tflite::InterpreterBuilder (*model, resolver) (&interpreter);
|
||||
+ }
|
||||
+
|
||||
if (!interpreter) {
|
||||
ml_loge ("Failed to construct interpreter\n");
|
||||
return -2;
|
||||
@@ -1075,6 +1077,7 @@ TFLiteCore::init (tflite_option_s *option)
|
||||
{
|
||||
interpreter->setModelPath (option->model_file);
|
||||
interpreter->setExtDelegate (option->ext_delegate_path, option->ext_delegate_kv_table);
|
||||
+ interpreter->setUseDefaultDelegates (option->use_default_delegates);
|
||||
interpreter->qnn_backend_type = option->qnn_backend_type;
|
||||
interpreter->qnn_performance_mode = option->qnn_performance_mode;
|
||||
num_threads = option->num_threads;
|
||||
@@ -1395,6 +1398,13 @@ tflite_parseCustomOption (const GstTensorFilterProperties *prop, tflite_option_s
|
||||
|
||||
if (g_ascii_strcasecmp (pair[0], "NumThreads") == 0) {
|
||||
option->num_threads = (int) g_ascii_strtoll (pair[1], NULL, 10);
|
||||
+ } else if (g_ascii_strcasecmp (pair[0], "UseDefaultDelegates") == 0) {
|
||||
+ if (g_ascii_strcasecmp (pair[1], "true") == 0 || g_ascii_strcasecmp (pair[1], "1") == 0)
|
||||
+ option->use_default_delegates = TRUE;
|
||||
+ else if (g_ascii_strcasecmp (pair[1], "false") == 0 || g_ascii_strcasecmp (pair[1], "0") == 0)
|
||||
+ option->use_default_delegates = FALSE;
|
||||
+ else
|
||||
+ ml_logw ("Invalid value for UseDefaultDelegates (%s). Use 'true' or 'false'.", pair[1]);
|
||||
} else if (g_ascii_strcasecmp (pair[0], "Delegate") == 0) {
|
||||
if (g_ascii_strcasecmp (pair[1], "NNAPI") == 0)
|
||||
option->delegate = TFLITE_DELEGATE_NNAPI;
|
||||
@@ -1777,8 +1787,9 @@ _nns_filter_register_tflite (void)
|
||||
{
|
||||
nnstreamer_filter_probe (&NNS_support_tensorflow_lite);
|
||||
nnstreamer_filter_set_custom_property_desc (NNS_support_tensorflow_lite.v0.name,
|
||||
- "NumThreads", "Number of threads. Set 0 for default behaviors.", "Delegate",
|
||||
- "TF-Lite delegation options: {'NNAPI', 'GPU', 'XNNPACK', 'External', 'QNN'}."
|
||||
+ "NumThreads", "Number of threads. Set 0 for default behaviors.",
|
||||
+ "UseDefaultDelegates", "Whether to use default delegates in resolver. Set 'true' or 'false'. Default is 'false'.",
|
||||
+ "Delegate", "TF-Lite delegation options: {'NNAPI', 'GPU', 'XNNPACK', 'External', 'QNN'}."
|
||||
" Do not specify to disable delegation.",
|
||||
"ExtDelegateLib", "Path to external delegate shared library", "ExtDelegateKeyVal",
|
||||
"key/values pairs optional parameters for delegate."
|
||||
--
|
||||
2.34.1
|
||||
|
||||
|
|
@ -0,0 +1,179 @@
|
|||
From 686e0ece0aef4f1d4bb24c893106f8d595016a30 Mon Sep 17 00:00:00 2001
|
||||
From: Alexandru Firuti <alexandru.firuti@nxp.com>
|
||||
Date: Tue, 18 Nov 2025 13:54:15 +0000
|
||||
Subject: [PATCH] tensor_converter: add frame padding removal for GRAY8
|
||||
|
||||
- gst_tensor_converter_parse_video: add a new function for checking i.MX-specific
|
||||
padding (gst_tensor_converter_video_stride_imx); if detected, set self->remove_imx_padding flag
|
||||
- gst_tensor_converter_chain: for video media type, remove the paddding when either of
|
||||
self->remove_padding and self->remove_imx_padding flags are set; in case there is no metadata
|
||||
attached to padding, ignore the i.MX padding removal as the buffer is not coming from i.MX plugins;
|
||||
add also logic to skip frame padding if it exists
|
||||
|
||||
Upstream-Status: Inappropriate [i.MX specific]
|
||||
|
||||
Signed-off-by: Alexandru Firuti <alexandru.firuti@nxp.com>
|
||||
---
|
||||
gst/nnstreamer/elements/gsttensor_converter.c | 50 ++++++++++++++++++-
|
||||
gst/nnstreamer/elements/gsttensor_converter.h | 1 +
|
||||
2 files changed, 49 insertions(+), 2 deletions(-)
|
||||
|
||||
diff --git a/gst/nnstreamer/elements/gsttensor_converter.c b/gst/nnstreamer/elements/gsttensor_converter.c
|
||||
index 78f62247..b7a28a36 100644
|
||||
--- a/gst/nnstreamer/elements/gsttensor_converter.c
|
||||
+++ b/gst/nnstreamer/elements/gsttensor_converter.c
|
||||
@@ -359,6 +359,7 @@ gst_tensor_converter_init (GstTensorConverter * self)
|
||||
self->in_media_type = _NNS_MEDIA_INVALID;
|
||||
self->frame_size = 0;
|
||||
self->remove_padding = FALSE;
|
||||
+ self->remove_imx_padding = FALSE;
|
||||
self->externalConverter = NULL;
|
||||
self->priv_data = NULL;
|
||||
self->mode = _CONVERTER_MODE_NONE;
|
||||
@@ -1032,7 +1033,7 @@ gst_tensor_converter_chain (GstPad * pad, GstObject * parent, GstBuffer * buf)
|
||||
GstTensorsConfig new_config;
|
||||
GstTensorInfo *_info;
|
||||
GstBuffer *inbuf;
|
||||
- gsize buf_size, frame_size;
|
||||
+ gsize buf_size, frame_size, frame_padding;
|
||||
guint frames_in, frames_out;
|
||||
UNUSED (pad);
|
||||
|
||||
@@ -1073,7 +1074,7 @@ gst_tensor_converter_chain (GstPad * pad, GstObject * parent, GstBuffer * buf)
|
||||
/** supposed 1 frame in buffer */
|
||||
g_assert ((buf_size / self->frame_size) == 1);
|
||||
|
||||
- if (self->remove_padding) {
|
||||
+ if (self->remove_padding || self->remove_imx_padding) {
|
||||
GstMapInfo src_info, dest_info;
|
||||
guint d0, d1;
|
||||
unsigned int src_idx = 0, dest_idx = 0;
|
||||
@@ -1104,6 +1105,13 @@ gst_tensor_converter_chain (GstPad * pad, GstObject * parent, GstBuffer * buf)
|
||||
GstVideoMeta *video_meta = gst_buffer_get_video_meta (buf);
|
||||
if (video_meta) {
|
||||
offset = video_meta->stride[0];
|
||||
+ } else if (self->remove_imx_padding && !self->remove_padding) {
|
||||
+ /**
|
||||
+ * If GstVideoMeta is missing, the buffer comes from a generic GStreamer plugin.
|
||||
+ * Only the default 4-bytes alignment correction should be done, the i.MX specific
|
||||
+ * one should be skipped.
|
||||
+ */
|
||||
+ break;
|
||||
} else {
|
||||
g_assert (offset % 4); /** Internal logic error! */
|
||||
if (offset % 4) {
|
||||
@@ -1111,12 +1119,22 @@ gst_tensor_converter_chain (GstPad * pad, GstObject * parent, GstBuffer * buf)
|
||||
}
|
||||
}
|
||||
|
||||
+ /* Calculate frame padding (padding at the end of entire frame) */
|
||||
+ frame_padding = 0;
|
||||
+ if (buf_size > frame_size) {
|
||||
+ frame_padding = buf_size - frame_size;
|
||||
+ }
|
||||
+
|
||||
for (d0 = 0; d0 < frames_in; d0++) {
|
||||
for (d1 = 0; d1 < height; d1++) {
|
||||
memcpy (dest_info.data + dest_idx, src_info.data + src_idx, size);
|
||||
dest_idx += size;
|
||||
src_idx += offset;
|
||||
}
|
||||
+ /* Skip frame padding if it exists (after all rows of current frame) */
|
||||
+ if (frame_padding > 0 && d0 < (frames_in - 1)) {
|
||||
+ src_idx += frame_padding;
|
||||
+ }
|
||||
}
|
||||
|
||||
gst_buffer_unmap (buf, &src_info);
|
||||
@@ -1438,6 +1456,26 @@ gst_tensor_converter_video_stride (GstVideoFormat format, gint width)
|
||||
return FALSE;
|
||||
}
|
||||
|
||||
+/**
|
||||
+ * @brief Determine if we need i.MX-specific zero-padding
|
||||
+ * @return TRUE if we need to add (or remove) stride per row from the stream data.
|
||||
+ */
|
||||
+static gboolean
|
||||
+gst_tensor_converter_video_stride_imx (GstVideoFormat format, gint width, gint height, gsize frame_size)
|
||||
+{
|
||||
+ switch (format) {
|
||||
+ case GST_VIDEO_FORMAT_GRAY8:
|
||||
+ if ((width % 16) || (height % 16) || (frame_size % 4096)) {
|
||||
+ return TRUE;
|
||||
+ }
|
||||
+ break;
|
||||
+ default:
|
||||
+ break;
|
||||
+ }
|
||||
+
|
||||
+ return FALSE;
|
||||
+}
|
||||
+
|
||||
/**
|
||||
* @brief Set the tensors config structure from video info (internal static function)
|
||||
* @param self this pointer to GstTensorConverter
|
||||
@@ -1459,6 +1497,7 @@ gst_tensor_converter_parse_video (GstTensorConverter * self,
|
||||
GstVideoFormat format;
|
||||
gint width, height, views;
|
||||
guint i;
|
||||
+ gsize size = 0; // Frame size
|
||||
|
||||
g_return_val_if_fail (config != NULL, FALSE);
|
||||
|
||||
@@ -1494,6 +1533,7 @@ gst_tensor_converter_parse_video (GstTensorConverter * self,
|
||||
config->info.info[0].dimension[0] = 1;
|
||||
config->info.info[0].dimension[1] = width;
|
||||
config->info.info[0].dimension[2] = height;
|
||||
+ size = 1 * width * height; // 1 byte per pixel
|
||||
break;
|
||||
case GST_VIDEO_FORMAT_GRAY16_BE:
|
||||
case GST_VIDEO_FORMAT_GRAY16_LE:
|
||||
@@ -1501,6 +1541,7 @@ gst_tensor_converter_parse_video (GstTensorConverter * self,
|
||||
config->info.info[0].dimension[0] = 1;
|
||||
config->info.info[0].dimension[1] = width;
|
||||
config->info.info[0].dimension[2] = height;
|
||||
+ size = 2 * 1 * width * height; // 2 bytes per pixel
|
||||
break;
|
||||
case GST_VIDEO_FORMAT_RGB:
|
||||
case GST_VIDEO_FORMAT_BGR:
|
||||
@@ -1508,6 +1549,7 @@ gst_tensor_converter_parse_video (GstTensorConverter * self,
|
||||
config->info.info[0].dimension[0] = 3;
|
||||
config->info.info[0].dimension[1] = width;
|
||||
config->info.info[0].dimension[2] = height;
|
||||
+ size = 1 * 3 * width * height; // 1 byte per channel, 3 channels
|
||||
break;
|
||||
case GST_VIDEO_FORMAT_RGBx:
|
||||
case GST_VIDEO_FORMAT_BGRx:
|
||||
@@ -1521,6 +1563,7 @@ gst_tensor_converter_parse_video (GstTensorConverter * self,
|
||||
config->info.info[0].dimension[0] = 4;
|
||||
config->info.info[0].dimension[1] = width;
|
||||
config->info.info[0].dimension[2] = height;
|
||||
+ size = 1 * 4 * width * height; // 1 byte per channel, 4 channels
|
||||
break;
|
||||
#if GST_CHECK_VERSION(1, 20, 0)
|
||||
case GST_VIDEO_FORMAT_RGBP:
|
||||
@@ -1571,6 +1614,9 @@ gst_tensor_converter_parse_video (GstTensorConverter * self,
|
||||
"Please use 4 x n as image width for inputs; the width of your input is %d.\n",
|
||||
width);
|
||||
}
|
||||
+ if (gst_tensor_converter_video_stride_imx (format, width, height, size)) {
|
||||
+ self->remove_imx_padding = TRUE;
|
||||
+ }
|
||||
|
||||
self->frame_size = GST_VIDEO_INFO_SIZE (&vinfo);
|
||||
return (config->info.info[0].type != _NNS_END);
|
||||
diff --git a/gst/nnstreamer/elements/gsttensor_converter.h b/gst/nnstreamer/elements/gsttensor_converter.h
|
||||
index b1328bb6..75589540 100644
|
||||
--- a/gst/nnstreamer/elements/gsttensor_converter.h
|
||||
+++ b/gst/nnstreamer/elements/gsttensor_converter.h
|
||||
@@ -92,6 +92,7 @@ struct _GstTensorConverter
|
||||
|
||||
gsize frame_size; /**< size of one frame */
|
||||
gboolean remove_padding; /**< If true, zero-padding must be removed */
|
||||
+ gboolean remove_imx_padding; /**< If true, i.MX-specific zero-padding must be removed */
|
||||
gboolean tensors_configured; /**< True if already successfully configured tensors metadata */
|
||||
GstTensorsConfig tensors_config; /**< output tensors info */
|
||||
|
||||
--
|
||||
2.34.1
|
||||
|
||||
|
|
@ -0,0 +1,45 @@
|
|||
From ccf4eea69e320d23013e5ec526d8b4f52a89192c Mon Sep 17 00:00:00 2001
|
||||
From: Elliot Chen <elliot.chen@nxp.com>
|
||||
Date: Wed, 23 Jul 2025 12:55:32 +0000
|
||||
Subject: [PATCH] tensor_converter: calculate the offset by video meta when
|
||||
removing padding
|
||||
|
||||
Changes for imxvideoconvert_g2d RGB888 support introduced 4-bytes alignment [MMFMWK-9523].
|
||||
Padding is used for dimensions that are not multiple of 4.
|
||||
NNStreamer tensor_converter padding removal is done using a padding size calculated on the 4-bytes alignment of width value in bytes.
|
||||
The attached patch fixes the mismatch by adjusting the offset used for padding removal in NNStreamer to the actual stride value coming in video meta from the GStreamer plugins.
|
||||
|
||||
Upstream-Status: Inappropriate [i.MX specific]
|
||||
|
||||
Signed-off-by: Elliot Chen <elliot.chen@nxp.com>
|
||||
Signed-off-by: Nicolas Goueslain <nicolas.goueslain@nxp.com>
|
||||
---
|
||||
gst/nnstreamer/elements/gsttensor_converter.c | 12 +++++++++---
|
||||
1 file changed, 9 insertions(+), 3 deletions(-)
|
||||
|
||||
diff --git a/gst/nnstreamer/elements/gsttensor_converter.c b/gst/nnstreamer/elements/gsttensor_converter.c
|
||||
index c03fe87e..78f62247 100644
|
||||
--- a/gst/nnstreamer/elements/gsttensor_converter.c
|
||||
+++ b/gst/nnstreamer/elements/gsttensor_converter.c
|
||||
@@ -1100,9 +1100,15 @@ gst_tensor_converter_chain (GstPad * pad, GstObject * parent, GstBuffer * buf)
|
||||
*/
|
||||
size = offset = type * color * width;
|
||||
|
||||
- g_assert (offset % 4); /** Internal logic error! */
|
||||
- if (offset % 4) {
|
||||
- offset += 4 - (offset % 4);
|
||||
+ /* Calculate the offset by video meta if is exist */
|
||||
+ GstVideoMeta *video_meta = gst_buffer_get_video_meta (buf);
|
||||
+ if (video_meta) {
|
||||
+ offset = video_meta->stride[0];
|
||||
+ } else {
|
||||
+ g_assert (offset % 4); /** Internal logic error! */
|
||||
+ if (offset % 4) {
|
||||
+ offset += 4 - (offset % 4);
|
||||
+ }
|
||||
}
|
||||
|
||||
for (d0 = 0; d0 < frames_in; d0++) {
|
||||
--
|
||||
2.34.1
|
||||
|
||||
|
|
@ -0,0 +1,224 @@
|
|||
SUMMARY = "NNStreamer, Stream Pipeline Paradigm for Neural Network Applications"
|
||||
DESCRIPTION = "NNStreamer is a GStreamer plugin allowing to construct neural network applications with stream pipeline paradigm."
|
||||
SECTION = "AI"
|
||||
LICENSE = "LGPL-2.0-or-later"
|
||||
LIC_FILES_CHKSUM = "\
|
||||
file://LICENSE;md5=c25e5c1949624d71896127788f1ba590 \
|
||||
file://debian/copyright;md5=0462ef8fa89a1f53f2e65e74940519ef \
|
||||
"
|
||||
|
||||
DEPENDS = "\
|
||||
bison-native \
|
||||
flex-native \
|
||||
orc-native \
|
||||
glib-2.0 \
|
||||
gstreamer1.0 \
|
||||
gstreamer1.0-plugins-base \
|
||||
gtest \
|
||||
libpng \
|
||||
"
|
||||
|
||||
SRCREV = "9cf11e0768892636622480fe1b5fc042b5a224ad"
|
||||
SRC_URI = "git://github.com/nnstreamer/nnstreamer.git;branch=prod/tizen-9.0;protocol=https \
|
||||
file://0001-AIR-11938-tensor-filter-use-memcpy-ethosu-delegate.patch \
|
||||
file://0001-rgb888_support_nnstreamer.patch \
|
||||
file://0001-Fix-libnnstreamer_customfilter_passthrough.so-path.patch \
|
||||
file://0001-gray8_padding_removal.patch \
|
||||
file://0001-Fix-to-provide-default-delegates.patch \
|
||||
"
|
||||
|
||||
# Use git instead of quilt as patch tool to support patches with binary content
|
||||
PATCHTOOL = "git"
|
||||
|
||||
S = "${WORKDIR}/git"
|
||||
|
||||
inherit meson pkgconfig
|
||||
|
||||
PACKAGECONFIG ??= "protobuf python3 query ${PACKAGECONFIG_SOC}"
|
||||
PACKAGECONFIG_SOC ??= ""
|
||||
|
||||
|
||||
PACKAGECONFIG_SOC:mx8-nxp-bsp:imxgpu ??= "tensorflow-lite"
|
||||
PACKAGECONFIG_SOC:mx8mp-nxp-bsp ??= "tensorflow-lite tvm"
|
||||
PACKAGECONFIG_SOC:mx9-nxp-bsp ??= "tensorflow-lite"
|
||||
|
||||
PACKAGECONFIG[flatbuf] = "\
|
||||
-Dflatbuf-support=enabled, \
|
||||
-Dflatbuf-support=disabled, \
|
||||
flatbuffers-native flatbuffers, \
|
||||
,,\
|
||||
"
|
||||
|
||||
PACKAGECONFIG[grpc] = "\
|
||||
-Dgrpc-support=enabled, \
|
||||
-Dgrpc-support=disabled, \
|
||||
grpc-native grpc, \
|
||||
,,\
|
||||
"
|
||||
|
||||
PACKAGECONFIG[protobuf] = "\
|
||||
-Dprotobuf-support=enabled, \
|
||||
-Dprotobuf-support=disabled, \
|
||||
protobuf-native protobuf, \
|
||||
,,\
|
||||
"
|
||||
|
||||
PACKAGECONFIG[python3] = "\
|
||||
-Dpython3-support=enabled, \
|
||||
-Dpython3-support=disabled, \
|
||||
python3 python3-numpy-native, \
|
||||
,,\
|
||||
"
|
||||
|
||||
PACKAGECONFIG[query] = "\
|
||||
-Dnnstreamer-edge-support=enabled, \
|
||||
-Dnnstreamer-edge-support=disabled, \
|
||||
nnstreamer-edge, \
|
||||
,,\
|
||||
"
|
||||
|
||||
PACKAGECONFIG[tensorflow-lite] = "\
|
||||
-Dtflite2-support=enabled, \
|
||||
-Dtflite2-support=disabled, \
|
||||
tensorflow-lite flatbuffers, \
|
||||
,,\
|
||||
"
|
||||
|
||||
PACKAGECONFIG[tvm] = "\
|
||||
-Dtvm-support=enabled, \
|
||||
-Dtvm-support=disabled, \
|
||||
tvm, \
|
||||
,,\
|
||||
"
|
||||
|
||||
EXTRA_OEMESON += "\
|
||||
-Denable-float16=true \
|
||||
-Denable-test=true \
|
||||
-Dinstall-test=true \
|
||||
"
|
||||
|
||||
# FIXME: Remove this when the source warnings are fixed
|
||||
CFLAGS += "-Wno-error"
|
||||
|
||||
do_install:append() {
|
||||
rm -f ${D}/${bindir}/unittest-nnstreamer/tests/test_models/models/tvm_add_one.so_
|
||||
}
|
||||
|
||||
PACKAGES =+ "\
|
||||
${PN}-unittest \
|
||||
${@bb.utils.contains('PACKAGECONFIG', 'flatbuf','${PN}-flatbuf', '', d)} \
|
||||
${@bb.utils.contains('PACKAGECONFIG', 'flatbuf grpc','${PN}-grpc-flatbuf', '', d)} \
|
||||
${@bb.utils.contains('PACKAGECONFIG', 'grpc','${PN}-grpc', '', d)} \
|
||||
${@bb.utils.contains('PACKAGECONFIG', 'protobuf','${PN}-protobuf', '', d)} \
|
||||
${@bb.utils.contains('PACKAGECONFIG', 'protobuf grpc','${PN}-grpc-protobuf', '', d)} \
|
||||
${@bb.utils.contains('PACKAGECONFIG', 'python3','${PN}-python3', '', d)} \
|
||||
${@bb.utils.contains('PACKAGECONFIG', 'query','${PN}-query', '', d)} \
|
||||
${@bb.utils.contains('PACKAGECONFIG', 'tensorflow-lite','${PN}-tensorflow-lite', '', d)} \
|
||||
${@bb.utils.contains('PACKAGECONFIG', 'tvm','${PN}-tvm', '', d)} \
|
||||
"
|
||||
|
||||
RDEPENDS:${PN} = "\
|
||||
gstreamer1.0-plugins-base \
|
||||
"
|
||||
|
||||
RDEPENDS:${PN}-unittest = "gstreamer1.0-plugins-good nnstreamer ssat \
|
||||
${@bb.utils.contains('PACKAGECONFIG', 'flatbuf','${PN}-flatbuf', '', d)} \
|
||||
${@bb.utils.contains('PACKAGECONFIG', 'flatbuf grpc','${PN}-grpc-flatbuf', '', d)} \
|
||||
${@bb.utils.contains('PACKAGECONFIG', 'grpc','${PN}-grpc', '', d)} \
|
||||
${@bb.utils.contains('PACKAGECONFIG', 'protobuf','${PN}-protobuf', '', d)} \
|
||||
${@bb.utils.contains('PACKAGECONFIG', 'protobuf grpc','${PN}-grpc-protobuf', '', d)} \
|
||||
${@bb.utils.contains('PACKAGECONFIG', 'python3','${PN}-python3', '', d)} \
|
||||
${@bb.utils.contains('PACKAGECONFIG', 'query','${PN}-query', '', d)} \
|
||||
${@bb.utils.contains('PACKAGECONFIG', 'tensorflow-lite','${PN}-tensorflow-lite', '', d)} \
|
||||
${@bb.utils.contains('PACKAGECONFIG', 'tvm','${PN}-tvm', '', d)} \
|
||||
"
|
||||
|
||||
# The libraries are unversioned
|
||||
SOLIBS = ".so"
|
||||
FILES_SOLIBSDEV = ""
|
||||
|
||||
FILES:${PN} += "\
|
||||
${libdir}/gstreamer-1.0/lib*${SOLIBS} \
|
||||
"
|
||||
|
||||
FILES:${PN}-flatbuf = "\
|
||||
${libdir}/nnstreamer/converters/libnnstreamer_converter_flatbuf.so \
|
||||
${libdir}/nnstreamer/converters/libnnstreamer_converter_flexbuf.so \
|
||||
${libdir}/nnstreamer/decoders/libnnstreamer_decoder_flatbuf.so \
|
||||
${libdir}/nnstreamer/decoders/libnnstreamer_decoder_flexbuf.so \
|
||||
"
|
||||
|
||||
FILES:${PN}-grpc = "\
|
||||
${libdir}/gstreamer-1.0/libnnstreamer-grpc.so \
|
||||
"
|
||||
|
||||
FILES:${PN}-grpc-flatbuf = "\
|
||||
${libdir}/libnnstreamer_grpc_flatbuf.so \
|
||||
"
|
||||
|
||||
FILES:${PN}-grpc-protobuf = "\
|
||||
${libdir}/libnnstreamer_grpc_protobuf.so \
|
||||
"
|
||||
|
||||
FILES:${PN}-protobuf = "\
|
||||
${libdir}/nnstreamer/converters/libnnstreamer_converter_protobuf.so \
|
||||
${libdir}/nnstreamer/decoders/libnnstreamer_decoder_protobuf.so \
|
||||
${libdir}/libnnstreamer_protobuf.so \
|
||||
"
|
||||
|
||||
FILES:${PN}-python3 = "\
|
||||
${libdir}/nnstreamer/converters/libnnstreamer_converter_python3.so \
|
||||
${libdir}/nnstreamer/decoders/libnnstreamer_decoder_python3.so \
|
||||
${libdir}/nnstreamer/filters/libnnstreamer_filter_python3.so \
|
||||
${libdir}/nnstreamer_python3.so \
|
||||
${PYTHON_SITEPACKAGES_DIR}/nnstreamer_python.so \
|
||||
"
|
||||
|
||||
FILES:${PN}-query = "\
|
||||
${libdir}/gstreamer-1.0/libgstedge.so \
|
||||
"
|
||||
|
||||
FILES:${PN}-tensorflow-lite = "\
|
||||
${libdir}/nnstreamer/filters/libnnstreamer_filter_tensorflow2-lite.so \
|
||||
"
|
||||
|
||||
FILES:${PN}-tvm = "\
|
||||
${libdir}/nnstreamer/filters/libnnstreamer_filter_tvm.so \
|
||||
"
|
||||
|
||||
FILES:${PN}-unittest = "\
|
||||
${bindir}/unittest-nnstreamer/* \
|
||||
${libdir}/libnnstreamer_unittest_util.so \
|
||||
${libdir}/libcppfilter_test.so \
|
||||
${libdir}/nnstreamer/customfilters/* \
|
||||
${libdir}/nnstreamer/unittest/* \
|
||||
"
|
||||
|
||||
# Libraries are unversioned, and the main package requires the symlink
|
||||
# /usr/lib/libnnstreamer.so -> /usr/lib64/gstreamer-1.0/libnnstreamer.so,
|
||||
# so disable QA dev-so
|
||||
INSANE_SKIP:${PN} = "dev-so"
|
||||
# The python3 package requires the symlink /usr/lib/python3.13/site-packages/nnstreamer_python.so,
|
||||
# so disable QA dev-so
|
||||
INSANE_SKIP:${PN}-python3 = "dev-so"
|
||||
# The unittest package /usr/bin/unittest-nnstreamer/tests/libnnstreamer-edge-custom-test.so is correct,
|
||||
# so silence the QA error
|
||||
INSANE_SKIP:${PN}-unittest = "libdir"
|
||||
# The dbg package requires /usr/bin/unittest-nnstreamer/tests/.debug/libnnstreamer-edge-custom-test.so,
|
||||
# so silence the QA error
|
||||
INSANE_SKIP:${PN}-dbg = "libdir"
|
||||
|
||||
do_install:append() {
|
||||
# Fixes: 076a78ea [TVM/test] Add models for more architectures
|
||||
bash -c "shopt -s extglob;
|
||||
rm -f ${D}/${bindir}/unittest-nnstreamer/tests/test_models/models/tvm_add_one_!(${HOST_ARCH}).so_;
|
||||
shopt -u extglob;"
|
||||
|
||||
# Check if python3 is enabled then install python module
|
||||
if ${@bb.utils.contains('PACKAGECONFIG', 'python3', 'true', 'false', d)}; then
|
||||
install -d ${D}${PYTHON_SITEPACKAGES_DIR}/
|
||||
ln -sf ${libdir}/nnstreamer_python3.so ${D}${PYTHON_SITEPACKAGES_DIR}/nnstreamer_python.so
|
||||
fi
|
||||
}
|
||||
|
||||
PACKAGE_ARCH = "${MACHINE_SOCARCH}"
|
||||
Loading…
Reference in New Issue