| Message ID | 20250117002520.627504-6-afd@ti.com |
|---|---|
| State | Superseded |
| Delegated to: | Ryan Eatmon |
| Headers | show |
| Series | Add ONNX Runtime | expand |
Hi Andrew, On 17/01/25 05:55, Andrew Davis wrote: > ONNX provides an open source format for AI models, both deep learning > and traditional ML. It defines an extensible computation graph model, > as well as definitions of built-in operators and standard data types. > > Signed-off-by: Andrew Davis <afd@ti.com> > --- > ...age-Protobuf-before-checking-if-it-w.patch | 25 ++++ > .../recipes-framework/onnx/onnx_1.16.1.bb | 107 ++++++++++++++++++ > 2 files changed, 132 insertions(+) > create mode 100644 meta-arago-extras/recipes-framework/onnx/onnx/0001-Try-to-find-package-Protobuf-before-checking-if-it-w.patch > create mode 100644 meta-arago-extras/recipes-framework/onnx/onnx_1.16.1.bb > > diff --git a/meta-arago-extras/recipes-framework/onnx/onnx/0001-Try-to-find-package-Protobuf-before-checking-if-it-w.patch b/meta-arago-extras/recipes-framework/onnx/onnx/0001-Try-to-find-package-Protobuf-before-checking-if-it-w.patch > new file mode 100644 > index 00000000..dceac1f4 > --- /dev/null > +++ b/meta-arago-extras/recipes-framework/onnx/onnx/0001-Try-to-find-package-Protobuf-before-checking-if-it-w.patch > @@ -0,0 +1,25 @@ > +From 7e118775c120ec802d13ac3e0125d726323aee87 Mon Sep 17 00:00:00 2001 > +From: Andrew Davis <afd@ti.com> > +Date: Thu, 16 Jan 2025 11:44:56 -0600 > +Subject: [PATCH] Try to find package Protobuf before checking if it was found > + > +Upstream-Status: Pending > + > +Signed-off-by: Andrew Davis <afd@ti.com> > +--- > + CMakeLists.txt | 2 ++ > + 1 file changed, 2 insertions(+) > + > +diff --git a/CMakeLists.txt b/CMakeLists.txt > +index b666eec4..f6fbf159 100644 > +--- a/CMakeLists.txt > ++++ b/CMakeLists.txt > +@@ -127,6 +127,8 @@ if(ONNX_BUILD_TESTS) > + set(googletest_STATIC_LIBRARIES GTest::gtest) > + endif() > + > ++find_package(Protobuf) > ++ > + if((ONNX_USE_LITE_PROTO AND TARGET protobuf::libprotobuf-lite) OR ((NOT ONNX_USE_LITE_PROTO) AND TARGET protobuf::libprotobuf)) > + # Sometimes we need to use protoc compiled for host architecture while linking > + # libprotobuf against target architecture. See https://github.com/caffe2/caffe > diff --git a/meta-arago-extras/recipes-framework/onnx/onnx_1.16.1.bb b/meta-arago-extras/recipes-framework/onnx/onnx_1.16.1.bb > new file mode 100644 > index 00000000..9624d061 > --- /dev/null > +++ b/meta-arago-extras/recipes-framework/onnx/onnx_1.16.1.bb > @@ -0,0 +1,107 @@ > +DESCRIPTION = "Open standard for machine learning interoperability" > +SUMMARY = "ONNX Python package & C++ library" > +HOMEPAGE = "https://www.onnx.ai/" > +LICENSE = "Apache-2.0" > +LIC_FILES_CHKSUM = "file://LICENSE;md5=3b83ef96387f14655fc854ddc3c6bd57" > + > +FILESEXTRAPATHS:prepend := "${THISDIR}/${PN}:" > + > +SRC_URI = "git://github.com/onnx/onnx.git;protocol=https;branch=rel-1.16.1" > +SRC_URI += "file://0001-Try-to-find-package-Protobuf-before-checking-if-it-w.patch" > +SRCREV = "595228d99e3977ac27cb79d5963adda262af99ad" > + > +S = "${WORKDIR}/git" > + > +DEPENDS += "\ > + abseil-cpp \ > + protobuf \ > + protobuf-native \ > + python3-protobuf \ > + python3-protobuf-native \ > +" > + > +PYTHON_DEPENDS = "\ > + python3 \ Nitpick, To have a consistency across the entire recipe, I think it would be better to use PYTHON_PN (as done at PACKAGE_BEFORE_PN) OR keep it static as python3 for all references -- Chirag > + python3-numpy \ > + python3-numpy-native \ > + python3-pybind11 \ > + python3-pybind11-native \ > +" > + > +PYTHON_RDEPENDS = "\ > + python3 \ > + python3-numpy \ > + python3-protobuf \ > + python3-coloredlogs \ > + python3-flatbuffers \ > + python3-sympy \ > +" > + > +PACKAGECONFIG ??= "python sharedlib unittests" > + > +PACKAGECONFIG[python] = "\ > + -DBUILD_ONNX_PYTHON=ON \ > + -DPYTHON_LIBRARY=${PYTHON_LIBRARY} \ > + -DPYTHON_INCLUDE_DIRS=${PYTHON_INCLUDE_DIR}, \ > + -DBUILD_ONNX_PYTHON=OFF, \ > + ${PYTHON_DEPENDS} \ > +" > + > +PACKAGECONFIG[sharedlib] = "-DBUILD_SHARED_LIBS=ON, -D-DBUILD_SHARED_LIBS=OFF" > +PACKAGECONFIG[unittests] = "-DONNX_BUILD_TESTS=ON, -DONNX_BUILD_TESTS=OFF, googletest" > + > +EXTRA_OECMAKE:append = " \ > + -DONNX_CUSTOM_PROTOC_EXECUTABLE=${STAGING_BINDIR_NATIVE}/protoc \ > + -DONNX_USE_PROTOBUF_SHARED_LIBS=ON \ > + -DONNX_DISABLE_STATIC_REGISTRATION=ON \ > + -DONNX_ML=1 \ > + -DCMAKE_VERBOSE_MAKEFILE=ON \ > + --log-level=VERBOSE \ > +" > + > +inherit python3native cmake > + > +python do_build_version_file() { > + import os > + import textwrap > + > + version_file_path = os.path.join(d.getVar('B'), "onnx", "version.py") > + os.makedirs(os.path.dirname(version_file_path), exist_ok=True) > + with open(version_file_path, "w", encoding="utf-8") as f: > + f.write( > + textwrap.dedent( > + f"""\ > + # This file is generated. DO NOT EDIT! > + > + > + version = "{d.getVar('PV')}" > + git_version = "{d.getVar('SRCREV')}" > + """ > + ) > + ) > +} > +addtask build_version_file before do_install after do_compile > + > +do_install:append() { > + CP_ARGS="-Prf --preserve=mode,timestamps --no-preserve=ownership" > + > + # Install the Python package. > + if ${@bb.utils.contains('PACKAGECONFIG', 'python', 'true', 'false', d)}; then > + install -d ${D}${PYTHON_SITEPACKAGES_DIR}/onnx > + (cd ${S}/onnx; cp --parents $(find . -name "*.py*") ${D}${PYTHON_SITEPACKAGES_DIR}/onnx) > + cp $CP_ARGS ${B}/onnx ${D}${PYTHON_SITEPACKAGES_DIR} > + cp $CP_ARGS ${B}/onnx_cpp2py_export.so ${D}${PYTHON_SITEPACKAGES_DIR}/onnx > + fi > +} > + > +# Add Python package > +PACKAGE_BEFORE_PN += "${PYTHON_PN}-${PN}" > +FILES:${PYTHON_PN}-${PN} += "${PYTHON_SITEPACKAGES_DIR}" > +RDEPENDS:${PYTHON_PN}-${PN} += "${PYTHON_RDEPENDS} onnx" > + > +# Output library is unversioned > +SOLIBS = ".so" > +FILES_SOLIBSDEV = "" > + > +# TODO: ONNXConfig.cmake in package onnx-dev contains reference to TMPDIR > +INSANE_SKIP:${PN}-dev = "buildpaths"
On 1/18/25 1:48 PM, Chirag Shilwant wrote: > Hi Andrew, > > On 17/01/25 05:55, Andrew Davis wrote: >> ONNX provides an open source format for AI models, both deep learning >> and traditional ML. It defines an extensible computation graph model, >> as well as definitions of built-in operators and standard data types. >> >> Signed-off-by: Andrew Davis <afd@ti.com> >> --- >> ...age-Protobuf-before-checking-if-it-w.patch | 25 ++++ >> .../recipes-framework/onnx/onnx_1.16.1.bb | 107 ++++++++++++++++++ >> 2 files changed, 132 insertions(+) >> create mode 100644 meta-arago-extras/recipes-framework/onnx/onnx/0001-Try-to-find-package-Protobuf-before-checking-if-it-w.patch >> create mode 100644 meta-arago-extras/recipes-framework/onnx/onnx_1.16.1.bb >> >> diff --git a/meta-arago-extras/recipes-framework/onnx/onnx/0001-Try-to-find-package-Protobuf-before-checking-if-it-w.patch b/meta-arago-extras/recipes-framework/onnx/onnx/0001-Try-to-find-package-Protobuf-before-checking-if-it-w.patch >> new file mode 100644 >> index 00000000..dceac1f4 >> --- /dev/null >> +++ b/meta-arago-extras/recipes-framework/onnx/onnx/0001-Try-to-find-package-Protobuf-before-checking-if-it-w.patch >> @@ -0,0 +1,25 @@ >> +From 7e118775c120ec802d13ac3e0125d726323aee87 Mon Sep 17 00:00:00 2001 >> +From: Andrew Davis <afd@ti.com> >> +Date: Thu, 16 Jan 2025 11:44:56 -0600 >> +Subject: [PATCH] Try to find package Protobuf before checking if it was found >> + >> +Upstream-Status: Pending >> + >> +Signed-off-by: Andrew Davis <afd@ti.com> >> +--- >> + CMakeLists.txt | 2 ++ >> + 1 file changed, 2 insertions(+) >> + >> +diff --git a/CMakeLists.txt b/CMakeLists.txt >> +index b666eec4..f6fbf159 100644 >> +--- a/CMakeLists.txt >> ++++ b/CMakeLists.txt >> +@@ -127,6 +127,8 @@ if(ONNX_BUILD_TESTS) >> + set(googletest_STATIC_LIBRARIES GTest::gtest) >> + endif() >> + >> ++find_package(Protobuf) >> ++ >> + if((ONNX_USE_LITE_PROTO AND TARGET protobuf::libprotobuf-lite) OR ((NOT ONNX_USE_LITE_PROTO) AND TARGET protobuf::libprotobuf)) >> + # Sometimes we need to use protoc compiled for host architecture while linking >> + # libprotobuf against target architecture. See https://github.com/caffe2/caffe >> diff --git a/meta-arago-extras/recipes-framework/onnx/onnx_1.16.1.bb b/meta-arago-extras/recipes-framework/onnx/onnx_1.16.1.bb >> new file mode 100644 >> index 00000000..9624d061 >> --- /dev/null >> +++ b/meta-arago-extras/recipes-framework/onnx/onnx_1.16.1.bb >> @@ -0,0 +1,107 @@ >> +DESCRIPTION = "Open standard for machine learning interoperability" >> +SUMMARY = "ONNX Python package & C++ library" >> +HOMEPAGE = "https://www.onnx.ai/" >> +LICENSE = "Apache-2.0" >> +LIC_FILES_CHKSUM = "file://LICENSE;md5=3b83ef96387f14655fc854ddc3c6bd57" >> + >> +FILESEXTRAPATHS:prepend := "${THISDIR}/${PN}:" >> + >> +SRC_URI = "git://github.com/onnx/onnx.git;protocol=https;branch=rel-1.16.1" >> +SRC_URI += "file://0001-Try-to-find-package-Protobuf-before-checking-if-it-w.patch" >> +SRCREV = "595228d99e3977ac27cb79d5963adda262af99ad" >> + >> +S = "${WORKDIR}/git" >> + >> +DEPENDS += "\ >> + abseil-cpp \ >> + protobuf \ >> + protobuf-native \ >> + python3-protobuf \ >> + python3-protobuf-native \ >> +" >> + >> +PYTHON_DEPENDS = "\ >> + python3 \ > > > > Nitpick, > > To have a consistency across the entire recipe, > I think it would be better to use PYTHON_PN (as done at PACKAGE_BEFORE_PN) > OR keep it static as python3 for all references > Good idea, seems most recipes just use "python3" and not PYTHON_PN, so I'll switch to that. Better to be explicit on which python we need. (I just hope we never have to deal with a python4 someday :D) Andrew > > -- > Chirag > > > >> + python3-numpy \ >> + python3-numpy-native \ >> + python3-pybind11 \ >> + python3-pybind11-native \ >> +" >> + >> +PYTHON_RDEPENDS = "\ >> + python3 \ >> + python3-numpy \ >> + python3-protobuf \ >> + python3-coloredlogs \ >> + python3-flatbuffers \ >> + python3-sympy \ >> +" >> + >> +PACKAGECONFIG ??= "python sharedlib unittests" >> + >> +PACKAGECONFIG[python] = "\ >> + -DBUILD_ONNX_PYTHON=ON \ >> + -DPYTHON_LIBRARY=${PYTHON_LIBRARY} \ >> + -DPYTHON_INCLUDE_DIRS=${PYTHON_INCLUDE_DIR}, \ >> + -DBUILD_ONNX_PYTHON=OFF, \ >> + ${PYTHON_DEPENDS} \ >> +" >> + >> +PACKAGECONFIG[sharedlib] = "-DBUILD_SHARED_LIBS=ON, -D-DBUILD_SHARED_LIBS=OFF" >> +PACKAGECONFIG[unittests] = "-DONNX_BUILD_TESTS=ON, -DONNX_BUILD_TESTS=OFF, googletest" >> + >> +EXTRA_OECMAKE:append = " \ >> + -DONNX_CUSTOM_PROTOC_EXECUTABLE=${STAGING_BINDIR_NATIVE}/protoc \ >> + -DONNX_USE_PROTOBUF_SHARED_LIBS=ON \ >> + -DONNX_DISABLE_STATIC_REGISTRATION=ON \ >> + -DONNX_ML=1 \ >> + -DCMAKE_VERBOSE_MAKEFILE=ON \ >> + --log-level=VERBOSE \ >> +" >> + >> +inherit python3native cmake >> + >> +python do_build_version_file() { >> + import os >> + import textwrap >> + >> + version_file_path = os.path.join(d.getVar('B'), "onnx", "version.py") >> + os.makedirs(os.path.dirname(version_file_path), exist_ok=True) >> + with open(version_file_path, "w", encoding="utf-8") as f: >> + f.write( >> + textwrap.dedent( >> + f"""\ >> + # This file is generated. DO NOT EDIT! >> + >> + >> + version = "{d.getVar('PV')}" >> + git_version = "{d.getVar('SRCREV')}" >> + """ >> + ) >> + ) >> +} >> +addtask build_version_file before do_install after do_compile >> + >> +do_install:append() { >> + CP_ARGS="-Prf --preserve=mode,timestamps --no-preserve=ownership" >> + >> + # Install the Python package. >> + if ${@bb.utils.contains('PACKAGECONFIG', 'python', 'true', 'false', d)}; then >> + install -d ${D}${PYTHON_SITEPACKAGES_DIR}/onnx >> + (cd ${S}/onnx; cp --parents $(find . -name "*.py*") ${D}${PYTHON_SITEPACKAGES_DIR}/onnx) >> + cp $CP_ARGS ${B}/onnx ${D}${PYTHON_SITEPACKAGES_DIR} >> + cp $CP_ARGS ${B}/onnx_cpp2py_export.so ${D}${PYTHON_SITEPACKAGES_DIR}/onnx >> + fi >> +} >> + >> +# Add Python package >> +PACKAGE_BEFORE_PN += "${PYTHON_PN}-${PN}" >> +FILES:${PYTHON_PN}-${PN} += "${PYTHON_SITEPACKAGES_DIR}" >> +RDEPENDS:${PYTHON_PN}-${PN} += "${PYTHON_RDEPENDS} onnx" >> + >> +# Output library is unversioned >> +SOLIBS = ".so" >> +FILES_SOLIBSDEV = "" >> + >> +# TODO: ONNXConfig.cmake in package onnx-dev contains reference to TMPDIR >> +INSANE_SKIP:${PN}-dev = "buildpaths"
On Tue, Jan 21, 2025 at 12:59:59PM -0600, Andrew Davis via lists.yoctoproject.org wrote: > On 1/18/25 1:48 PM, Chirag Shilwant wrote: > >Hi Andrew, > > > >On 17/01/25 05:55, Andrew Davis wrote: > >>ONNX provides an open source format for AI models, both deep learning > >>and traditional ML. It defines an extensible computation graph model, > >>as well as definitions of built-in operators and standard data types. > >> > >>Signed-off-by: Andrew Davis <afd@ti.com> > >>--- > >> ...age-Protobuf-before-checking-if-it-w.patch | 25 ++++ > >> .../recipes-framework/onnx/onnx_1.16.1.bb | 107 ++++++++++++++++++ > >> 2 files changed, 132 insertions(+) > >> create mode 100644 meta-arago-extras/recipes-framework/onnx/onnx/0001-Try-to-find-package-Protobuf-before-checking-if-it-w.patch > >> create mode 100644 meta-arago-extras/recipes-framework/onnx/onnx_1.16.1.bb > >> > >>diff --git a/meta-arago-extras/recipes-framework/onnx/onnx/0001-Try-to-find-package-Protobuf-before-checking-if-it-w.patch b/meta-arago-extras/recipes-framework/onnx/onnx/0001-Try-to-find-package-Protobuf-before-checking-if-it-w.patch > >>new file mode 100644 > >>index 00000000..dceac1f4 > >>--- /dev/null > >>+++ b/meta-arago-extras/recipes-framework/onnx/onnx/0001-Try-to-find-package-Protobuf-before-checking-if-it-w.patch > >>@@ -0,0 +1,25 @@ > >>+From 7e118775c120ec802d13ac3e0125d726323aee87 Mon Sep 17 00:00:00 2001 > >>+From: Andrew Davis <afd@ti.com> > >>+Date: Thu, 16 Jan 2025 11:44:56 -0600 > >>+Subject: [PATCH] Try to find package Protobuf before checking if it was found > >>+ > >>+Upstream-Status: Pending > >>+ > >>+Signed-off-by: Andrew Davis <afd@ti.com> > >>+--- > >>+ CMakeLists.txt | 2 ++ > >>+ 1 file changed, 2 insertions(+) > >>+ > >>+diff --git a/CMakeLists.txt b/CMakeLists.txt > >>+index b666eec4..f6fbf159 100644 > >>+--- a/CMakeLists.txt > >>++++ b/CMakeLists.txt > >>+@@ -127,6 +127,8 @@ if(ONNX_BUILD_TESTS) > >>+ set(googletest_STATIC_LIBRARIES GTest::gtest) > >>+ endif() > >>+ > >>++find_package(Protobuf) > >>++ > >>+ if((ONNX_USE_LITE_PROTO AND TARGET protobuf::libprotobuf-lite) OR ((NOT ONNX_USE_LITE_PROTO) AND TARGET protobuf::libprotobuf)) > >>+ # Sometimes we need to use protoc compiled for host architecture while linking > >>+ # libprotobuf against target architecture. See https://github.com/caffe2/caffe > >>diff --git a/meta-arago-extras/recipes-framework/onnx/onnx_1.16.1.bb b/meta-arago-extras/recipes-framework/onnx/onnx_1.16.1.bb > >>new file mode 100644 > >>index 00000000..9624d061 > >>--- /dev/null > >>+++ b/meta-arago-extras/recipes-framework/onnx/onnx_1.16.1.bb > >>@@ -0,0 +1,107 @@ > >>+DESCRIPTION = "Open standard for machine learning interoperability" > >>+SUMMARY = "ONNX Python package & C++ library" > >>+HOMEPAGE = "https://www.onnx.ai/" > >>+LICENSE = "Apache-2.0" > >>+LIC_FILES_CHKSUM = "file://LICENSE;md5=3b83ef96387f14655fc854ddc3c6bd57" > >>+ > >>+FILESEXTRAPATHS:prepend := "${THISDIR}/${PN}:" > >>+ > >>+SRC_URI = "git://github.com/onnx/onnx.git;protocol=https;branch=rel-1.16.1" > >>+SRC_URI += "file://0001-Try-to-find-package-Protobuf-before-checking-if-it-w.patch" > >>+SRCREV = "595228d99e3977ac27cb79d5963adda262af99ad" > >>+ > >>+S = "${WORKDIR}/git" > >>+ > >>+DEPENDS += "\ > >>+ abseil-cpp \ > >>+ protobuf \ > >>+ protobuf-native \ > >>+ python3-protobuf \ > >>+ python3-protobuf-native \ > >>+" > >>+ > >>+PYTHON_DEPENDS = "\ > >>+ python3 \ > > > > > > > >Nitpick, > > > >To have a consistency across the entire recipe, > >I think it would be better to use PYTHON_PN (as done at PACKAGE_BEFORE_PN) > >OR keep it static as python3 for all references > > > > Good idea, seems most recipes just use "python3" and not PYTHON_PN, so I'll > switch to that. Better to be explicit on which python we need. (I just hope > we never have to deal with a python4 someday :D) Heh, you never know. We've dealt with python2/python3 and needing to support both, as well as Qt3/Qt4/Qt5 (and Qt6 now), and gstreamer 0.10 vs. 1.0... > > > >>+ python3-numpy \ > >>+ python3-numpy-native \ > >>+ python3-pybind11 \ > >>+ python3-pybind11-native \ > >>+" > >>+ > >>+PYTHON_RDEPENDS = "\ > >>+ python3 \ > >>+ python3-numpy \ > >>+ python3-protobuf \ > >>+ python3-coloredlogs \ > >>+ python3-flatbuffers \ > >>+ python3-sympy \ > >>+" > >>+ > >>+PACKAGECONFIG ??= "python sharedlib unittests" > >>+ > >>+PACKAGECONFIG[python] = "\ > >>+ -DBUILD_ONNX_PYTHON=ON \ > >>+ -DPYTHON_LIBRARY=${PYTHON_LIBRARY} \ > >>+ -DPYTHON_INCLUDE_DIRS=${PYTHON_INCLUDE_DIR}, \ > >>+ -DBUILD_ONNX_PYTHON=OFF, \ > >>+ ${PYTHON_DEPENDS} \ > >>+" > >>+ > >>+PACKAGECONFIG[sharedlib] = "-DBUILD_SHARED_LIBS=ON, -D-DBUILD_SHARED_LIBS=OFF" > >>+PACKAGECONFIG[unittests] = "-DONNX_BUILD_TESTS=ON, -DONNX_BUILD_TESTS=OFF, googletest" > >>+ > >>+EXTRA_OECMAKE:append = " \ > >>+ -DONNX_CUSTOM_PROTOC_EXECUTABLE=${STAGING_BINDIR_NATIVE}/protoc \ > >>+ -DONNX_USE_PROTOBUF_SHARED_LIBS=ON \ > >>+ -DONNX_DISABLE_STATIC_REGISTRATION=ON \ > >>+ -DONNX_ML=1 \ > >>+ -DCMAKE_VERBOSE_MAKEFILE=ON \ > >>+ --log-level=VERBOSE \ > >>+" > >>+ > >>+inherit python3native cmake > >>+ > >>+python do_build_version_file() { > >>+ import os > >>+ import textwrap > >>+ > >>+ version_file_path = os.path.join(d.getVar('B'), "onnx", "version.py") > >>+ os.makedirs(os.path.dirname(version_file_path), exist_ok=True) > >>+ with open(version_file_path, "w", encoding="utf-8") as f: > >>+ f.write( > >>+ textwrap.dedent( > >>+ f"""\ > >>+ # This file is generated. DO NOT EDIT! > >>+ > >>+ > >>+ version = "{d.getVar('PV')}" > >>+ git_version = "{d.getVar('SRCREV')}" > >>+ """ > >>+ ) > >>+ ) > >>+} > >>+addtask build_version_file before do_install after do_compile > >>+ > >>+do_install:append() { > >>+ CP_ARGS="-Prf --preserve=mode,timestamps --no-preserve=ownership" > >>+ > >>+ # Install the Python package. > >>+ if ${@bb.utils.contains('PACKAGECONFIG', 'python', 'true', 'false', d)}; then > >>+ install -d ${D}${PYTHON_SITEPACKAGES_DIR}/onnx > >>+ (cd ${S}/onnx; cp --parents $(find . -name "*.py*") ${D}${PYTHON_SITEPACKAGES_DIR}/onnx) > >>+ cp $CP_ARGS ${B}/onnx ${D}${PYTHON_SITEPACKAGES_DIR} > >>+ cp $CP_ARGS ${B}/onnx_cpp2py_export.so ${D}${PYTHON_SITEPACKAGES_DIR}/onnx > >>+ fi > >>+} > >>+ > >>+# Add Python package > >>+PACKAGE_BEFORE_PN += "${PYTHON_PN}-${PN}" > >>+FILES:${PYTHON_PN}-${PN} += "${PYTHON_SITEPACKAGES_DIR}" > >>+RDEPENDS:${PYTHON_PN}-${PN} += "${PYTHON_RDEPENDS} onnx" > >>+ > >>+# Output library is unversioned > >>+SOLIBS = ".so" > >>+FILES_SOLIBSDEV = "" > >>+ > >>+# TODO: ONNXConfig.cmake in package onnx-dev contains reference to TMPDIR > >>+INSANE_SKIP:${PN}-dev = "buildpaths"
On 1/21/2025 12:59 PM, Andrew Davis wrote: > On 1/18/25 1:48 PM, Chirag Shilwant wrote: >> Hi Andrew, >> >> On 17/01/25 05:55, Andrew Davis wrote: >>> ONNX provides an open source format for AI models, both deep learning >>> and traditional ML. It defines an extensible computation graph model, >>> as well as definitions of built-in operators and standard data types. >>> >>> Signed-off-by: Andrew Davis <afd@ti.com> >>> --- >>> ...age-Protobuf-before-checking-if-it-w.patch | 25 ++++ >>> .../recipes-framework/onnx/onnx_1.16.1.bb | 107 ++++++++++++++++++ >>> 2 files changed, 132 insertions(+) >>> create mode 100644 >>> meta-arago-extras/recipes-framework/onnx/onnx/0001-Try-to-find-package-Protobuf-before-checking-if-it-w.patch >>> create mode 100644 >>> meta-arago-extras/recipes-framework/onnx/onnx_1.16.1.bb >>> >>> diff --git >>> a/meta-arago-extras/recipes-framework/onnx/onnx/0001-Try-to-find-package-Protobuf-before-checking-if-it-w.patch b/meta-arago-extras/recipes-framework/onnx/onnx/0001-Try-to-find-package-Protobuf-before-checking-if-it-w.patch >>> new file mode 100644 >>> index 00000000..dceac1f4 >>> --- /dev/null >>> +++ >>> b/meta-arago-extras/recipes-framework/onnx/onnx/0001-Try-to-find-package-Protobuf-before-checking-if-it-w.patch >>> @@ -0,0 +1,25 @@ >>> +From 7e118775c120ec802d13ac3e0125d726323aee87 Mon Sep 17 00:00:00 2001 >>> +From: Andrew Davis <afd@ti.com> >>> +Date: Thu, 16 Jan 2025 11:44:56 -0600 >>> +Subject: [PATCH] Try to find package Protobuf before checking if it >>> was found >>> + >>> +Upstream-Status: Pending >>> + >>> +Signed-off-by: Andrew Davis <afd@ti.com> >>> +--- >>> + CMakeLists.txt | 2 ++ >>> + 1 file changed, 2 insertions(+) >>> + >>> +diff --git a/CMakeLists.txt b/CMakeLists.txt >>> +index b666eec4..f6fbf159 100644 >>> +--- a/CMakeLists.txt >>> ++++ b/CMakeLists.txt >>> +@@ -127,6 +127,8 @@ if(ONNX_BUILD_TESTS) >>> + set(googletest_STATIC_LIBRARIES GTest::gtest) >>> + endif() >>> + >>> ++find_package(Protobuf) >>> ++ >>> + if((ONNX_USE_LITE_PROTO AND TARGET protobuf::libprotobuf-lite) OR >>> ((NOT ONNX_USE_LITE_PROTO) AND TARGET protobuf::libprotobuf)) >>> + # Sometimes we need to use protoc compiled for host architecture >>> while linking >>> + # libprotobuf against target architecture. See >>> https://github.com/caffe2/caffe >>> diff --git a/meta-arago-extras/recipes-framework/onnx/onnx_1.16.1.bb >>> b/meta-arago-extras/recipes-framework/onnx/onnx_1.16.1.bb >>> new file mode 100644 >>> index 00000000..9624d061 >>> --- /dev/null >>> +++ b/meta-arago-extras/recipes-framework/onnx/onnx_1.16.1.bb >>> @@ -0,0 +1,107 @@ >>> +DESCRIPTION = "Open standard for machine learning interoperability" >>> +SUMMARY = "ONNX Python package & C++ library" >>> +HOMEPAGE = "https://www.onnx.ai/" >>> +LICENSE = "Apache-2.0" >>> +LIC_FILES_CHKSUM = >>> "file://LICENSE;md5=3b83ef96387f14655fc854ddc3c6bd57" >>> + >>> +FILESEXTRAPATHS:prepend := "${THISDIR}/${PN}:" >>> + >>> +SRC_URI = >>> "git://github.com/onnx/onnx.git;protocol=https;branch=rel-1.16.1" >>> +SRC_URI += >>> "file://0001-Try-to-find-package-Protobuf-before-checking-if-it-w.patch" >>> +SRCREV = "595228d99e3977ac27cb79d5963adda262af99ad" >>> + >>> +S = "${WORKDIR}/git" >>> + >>> +DEPENDS += "\ >>> + abseil-cpp \ >>> + protobuf \ >>> + protobuf-native \ >>> + python3-protobuf \ >>> + python3-protobuf-native \ >>> +" >>> + >>> +PYTHON_DEPENDS = "\ >>> + python3 \ >> >> >> >> Nitpick, >> >> To have a consistency across the entire recipe, >> I think it would be better to use PYTHON_PN (as done at >> PACKAGE_BEFORE_PN) >> OR keep it static as python3 for all references >> > > Good idea, seems most recipes just use "python3" and not PYTHON_PN, so I'll > switch to that. Better to be explicit on which python we need. (I just hope > we never have to deal with a python4 someday :D) > > Andrew Does this mean a v2 is coming for this series? I'm getting a little lost since you keep sending some of the same patches under new series names... I'll wait to process all of these until we get the v2. >> >> -- >> Chirag >> >> >> >>> + python3-numpy \ >>> + python3-numpy-native \ >>> + python3-pybind11 \ >>> + python3-pybind11-native \ >>> +" >>> + >>> +PYTHON_RDEPENDS = "\ >>> + python3 \ >>> + python3-numpy \ >>> + python3-protobuf \ >>> + python3-coloredlogs \ >>> + python3-flatbuffers \ >>> + python3-sympy \ >>> +" >>> + >>> +PACKAGECONFIG ??= "python sharedlib unittests" >>> + >>> +PACKAGECONFIG[python] = "\ >>> + -DBUILD_ONNX_PYTHON=ON \ >>> + -DPYTHON_LIBRARY=${PYTHON_LIBRARY} \ >>> + -DPYTHON_INCLUDE_DIRS=${PYTHON_INCLUDE_DIR}, \ >>> + -DBUILD_ONNX_PYTHON=OFF, \ >>> + ${PYTHON_DEPENDS} \ >>> +" >>> + >>> +PACKAGECONFIG[sharedlib] = "-DBUILD_SHARED_LIBS=ON, >>> -D-DBUILD_SHARED_LIBS=OFF" >>> +PACKAGECONFIG[unittests] = "-DONNX_BUILD_TESTS=ON, >>> -DONNX_BUILD_TESTS=OFF, googletest" >>> + >>> +EXTRA_OECMAKE:append = " \ >>> + -DONNX_CUSTOM_PROTOC_EXECUTABLE=${STAGING_BINDIR_NATIVE}/protoc \ >>> + -DONNX_USE_PROTOBUF_SHARED_LIBS=ON \ >>> + -DONNX_DISABLE_STATIC_REGISTRATION=ON \ >>> + -DONNX_ML=1 \ >>> + -DCMAKE_VERBOSE_MAKEFILE=ON \ >>> + --log-level=VERBOSE \ >>> +" >>> + >>> +inherit python3native cmake >>> + >>> +python do_build_version_file() { >>> + import os >>> + import textwrap >>> + >>> + version_file_path = os.path.join(d.getVar('B'), "onnx", >>> "version.py") >>> + os.makedirs(os.path.dirname(version_file_path), exist_ok=True) >>> + with open(version_file_path, "w", encoding="utf-8") as f: >>> + f.write( >>> + textwrap.dedent( >>> + f"""\ >>> + # This file is generated. DO NOT EDIT! >>> + >>> + >>> + version = "{d.getVar('PV')}" >>> + git_version = "{d.getVar('SRCREV')}" >>> + """ >>> + ) >>> + ) >>> +} >>> +addtask build_version_file before do_install after do_compile >>> + >>> +do_install:append() { >>> + CP_ARGS="-Prf --preserve=mode,timestamps --no-preserve=ownership" >>> + >>> + # Install the Python package. >>> + if ${@bb.utils.contains('PACKAGECONFIG', 'python', 'true', >>> 'false', d)}; then >>> + install -d ${D}${PYTHON_SITEPACKAGES_DIR}/onnx >>> + (cd ${S}/onnx; cp --parents $(find . -name "*.py*") >>> ${D}${PYTHON_SITEPACKAGES_DIR}/onnx) >>> + cp $CP_ARGS ${B}/onnx ${D}${PYTHON_SITEPACKAGES_DIR} >>> + cp $CP_ARGS ${B}/onnx_cpp2py_export.so >>> ${D}${PYTHON_SITEPACKAGES_DIR}/onnx >>> + fi >>> +} >>> + >>> +# Add Python package >>> +PACKAGE_BEFORE_PN += "${PYTHON_PN}-${PN}" >>> +FILES:${PYTHON_PN}-${PN} += "${PYTHON_SITEPACKAGES_DIR}" >>> +RDEPENDS:${PYTHON_PN}-${PN} += "${PYTHON_RDEPENDS} onnx" >>> + >>> +# Output library is unversioned >>> +SOLIBS = ".so" >>> +FILES_SOLIBSDEV = "" >>> + >>> +# TODO: ONNXConfig.cmake in package onnx-dev contains reference to >>> TMPDIR >>> +INSANE_SKIP:${PN}-dev = "buildpaths"
On 1/22/25 10:30 AM, Ryan Eatmon wrote: > > > On 1/21/2025 12:59 PM, Andrew Davis wrote: >> On 1/18/25 1:48 PM, Chirag Shilwant wrote: >>> Hi Andrew, >>> >>> On 17/01/25 05:55, Andrew Davis wrote: >>>> ONNX provides an open source format for AI models, both deep learning >>>> and traditional ML. It defines an extensible computation graph model, >>>> as well as definitions of built-in operators and standard data types. >>>> >>>> Signed-off-by: Andrew Davis <afd@ti.com> >>>> --- >>>> ...age-Protobuf-before-checking-if-it-w.patch | 25 ++++ >>>> .../recipes-framework/onnx/onnx_1.16.1.bb | 107 ++++++++++++++++++ >>>> 2 files changed, 132 insertions(+) >>>> create mode 100644 meta-arago-extras/recipes-framework/onnx/onnx/0001-Try-to-find-package-Protobuf-before-checking-if-it-w.patch >>>> create mode 100644 meta-arago-extras/recipes-framework/onnx/onnx_1.16.1.bb >>>> >>>> diff --git a/meta-arago-extras/recipes-framework/onnx/onnx/0001-Try-to-find-package-Protobuf-before-checking-if-it-w.patch b/meta-arago-extras/recipes-framework/onnx/onnx/0001-Try-to-find-package-Protobuf-before-checking-if-it-w.patch >>>> new file mode 100644 >>>> index 00000000..dceac1f4 >>>> --- /dev/null >>>> +++ b/meta-arago-extras/recipes-framework/onnx/onnx/0001-Try-to-find-package-Protobuf-before-checking-if-it-w.patch >>>> @@ -0,0 +1,25 @@ >>>> +From 7e118775c120ec802d13ac3e0125d726323aee87 Mon Sep 17 00:00:00 2001 >>>> +From: Andrew Davis <afd@ti.com> >>>> +Date: Thu, 16 Jan 2025 11:44:56 -0600 >>>> +Subject: [PATCH] Try to find package Protobuf before checking if it was found >>>> + >>>> +Upstream-Status: Pending >>>> + >>>> +Signed-off-by: Andrew Davis <afd@ti.com> >>>> +--- >>>> + CMakeLists.txt | 2 ++ >>>> + 1 file changed, 2 insertions(+) >>>> + >>>> +diff --git a/CMakeLists.txt b/CMakeLists.txt >>>> +index b666eec4..f6fbf159 100644 >>>> +--- a/CMakeLists.txt >>>> ++++ b/CMakeLists.txt >>>> +@@ -127,6 +127,8 @@ if(ONNX_BUILD_TESTS) >>>> + set(googletest_STATIC_LIBRARIES GTest::gtest) >>>> + endif() >>>> + >>>> ++find_package(Protobuf) >>>> ++ >>>> + if((ONNX_USE_LITE_PROTO AND TARGET protobuf::libprotobuf-lite) OR ((NOT ONNX_USE_LITE_PROTO) AND TARGET protobuf::libprotobuf)) >>>> + # Sometimes we need to use protoc compiled for host architecture while linking >>>> + # libprotobuf against target architecture. See https://github.com/caffe2/caffe >>>> diff --git a/meta-arago-extras/recipes-framework/onnx/onnx_1.16.1.bb b/meta-arago-extras/recipes-framework/onnx/onnx_1.16.1.bb >>>> new file mode 100644 >>>> index 00000000..9624d061 >>>> --- /dev/null >>>> +++ b/meta-arago-extras/recipes-framework/onnx/onnx_1.16.1.bb >>>> @@ -0,0 +1,107 @@ >>>> +DESCRIPTION = "Open standard for machine learning interoperability" >>>> +SUMMARY = "ONNX Python package & C++ library" >>>> +HOMEPAGE = "https://www.onnx.ai/" >>>> +LICENSE = "Apache-2.0" >>>> +LIC_FILES_CHKSUM = "file://LICENSE;md5=3b83ef96387f14655fc854ddc3c6bd57" >>>> + >>>> +FILESEXTRAPATHS:prepend := "${THISDIR}/${PN}:" >>>> + >>>> +SRC_URI = "git://github.com/onnx/onnx.git;protocol=https;branch=rel-1.16.1" >>>> +SRC_URI += "file://0001-Try-to-find-package-Protobuf-before-checking-if-it-w.patch" >>>> +SRCREV = "595228d99e3977ac27cb79d5963adda262af99ad" >>>> + >>>> +S = "${WORKDIR}/git" >>>> + >>>> +DEPENDS += "\ >>>> + abseil-cpp \ >>>> + protobuf \ >>>> + protobuf-native \ >>>> + python3-protobuf \ >>>> + python3-protobuf-native \ >>>> +" >>>> + >>>> +PYTHON_DEPENDS = "\ >>>> + python3 \ >>> >>> >>> >>> Nitpick, >>> >>> To have a consistency across the entire recipe, >>> I think it would be better to use PYTHON_PN (as done at PACKAGE_BEFORE_PN) >>> OR keep it static as python3 for all references >>> >> >> Good idea, seems most recipes just use "python3" and not PYTHON_PN, so I'll >> switch to that. Better to be explicit on which python we need. (I just hope >> we never have to deal with a python4 someday :D) >> >> Andrew > > Does this mean a v2 is coming for this series? I'm getting a little lost since you keep sending some of the same patches under new series names... I'll wait to process all of these until we get the v2. > Yes, I'll send a v2 once things settle down in -next/-wip. I see my ArmNN package got dropped (which is fine, I have a newer version anyway), but it also means until something goes into master I can't consider it done and drop from my queue. Which means I'll end up resending it if I send against scarthgap/master. I could base my series against your -next/-wip branches, but as above they are not stable branches and things can get lost.. Scarthgap/master have not moved in ~7 weeks now, so my patch backlog is getting a bit out of hand now. Maybe we should look into a manual promotion if LTS migration/testing is going to hold us up this long :/ Andrew > > >>> >>> -- >>> Chirag >>> >>> >>> >>>> + python3-numpy \ >>>> + python3-numpy-native \ >>>> + python3-pybind11 \ >>>> + python3-pybind11-native \ >>>> +" >>>> + >>>> +PYTHON_RDEPENDS = "\ >>>> + python3 \ >>>> + python3-numpy \ >>>> + python3-protobuf \ >>>> + python3-coloredlogs \ >>>> + python3-flatbuffers \ >>>> + python3-sympy \ >>>> +" >>>> + >>>> +PACKAGECONFIG ??= "python sharedlib unittests" >>>> + >>>> +PACKAGECONFIG[python] = "\ >>>> + -DBUILD_ONNX_PYTHON=ON \ >>>> + -DPYTHON_LIBRARY=${PYTHON_LIBRARY} \ >>>> + -DPYTHON_INCLUDE_DIRS=${PYTHON_INCLUDE_DIR}, \ >>>> + -DBUILD_ONNX_PYTHON=OFF, \ >>>> + ${PYTHON_DEPENDS} \ >>>> +" >>>> + >>>> +PACKAGECONFIG[sharedlib] = "-DBUILD_SHARED_LIBS=ON, -D-DBUILD_SHARED_LIBS=OFF" >>>> +PACKAGECONFIG[unittests] = "-DONNX_BUILD_TESTS=ON, -DONNX_BUILD_TESTS=OFF, googletest" >>>> + >>>> +EXTRA_OECMAKE:append = " \ >>>> + -DONNX_CUSTOM_PROTOC_EXECUTABLE=${STAGING_BINDIR_NATIVE}/protoc \ >>>> + -DONNX_USE_PROTOBUF_SHARED_LIBS=ON \ >>>> + -DONNX_DISABLE_STATIC_REGISTRATION=ON \ >>>> + -DONNX_ML=1 \ >>>> + -DCMAKE_VERBOSE_MAKEFILE=ON \ >>>> + --log-level=VERBOSE \ >>>> +" >>>> + >>>> +inherit python3native cmake >>>> + >>>> +python do_build_version_file() { >>>> + import os >>>> + import textwrap >>>> + >>>> + version_file_path = os.path.join(d.getVar('B'), "onnx", "version.py") >>>> + os.makedirs(os.path.dirname(version_file_path), exist_ok=True) >>>> + with open(version_file_path, "w", encoding="utf-8") as f: >>>> + f.write( >>>> + textwrap.dedent( >>>> + f"""\ >>>> + # This file is generated. DO NOT EDIT! >>>> + >>>> + >>>> + version = "{d.getVar('PV')}" >>>> + git_version = "{d.getVar('SRCREV')}" >>>> + """ >>>> + ) >>>> + ) >>>> +} >>>> +addtask build_version_file before do_install after do_compile >>>> + >>>> +do_install:append() { >>>> + CP_ARGS="-Prf --preserve=mode,timestamps --no-preserve=ownership" >>>> + >>>> + # Install the Python package. >>>> + if ${@bb.utils.contains('PACKAGECONFIG', 'python', 'true', 'false', d)}; then >>>> + install -d ${D}${PYTHON_SITEPACKAGES_DIR}/onnx >>>> + (cd ${S}/onnx; cp --parents $(find . -name "*.py*") ${D}${PYTHON_SITEPACKAGES_DIR}/onnx) >>>> + cp $CP_ARGS ${B}/onnx ${D}${PYTHON_SITEPACKAGES_DIR} >>>> + cp $CP_ARGS ${B}/onnx_cpp2py_export.so ${D}${PYTHON_SITEPACKAGES_DIR}/onnx >>>> + fi >>>> +} >>>> + >>>> +# Add Python package >>>> +PACKAGE_BEFORE_PN += "${PYTHON_PN}-${PN}" >>>> +FILES:${PYTHON_PN}-${PN} += "${PYTHON_SITEPACKAGES_DIR}" >>>> +RDEPENDS:${PYTHON_PN}-${PN} += "${PYTHON_RDEPENDS} onnx" >>>> + >>>> +# Output library is unversioned >>>> +SOLIBS = ".so" >>>> +FILES_SOLIBSDEV = "" >>>> + >>>> +# TODO: ONNXConfig.cmake in package onnx-dev contains reference to TMPDIR >>>> +INSANE_SKIP:${PN}-dev = "buildpaths" >
diff --git a/meta-arago-extras/recipes-framework/onnx/onnx/0001-Try-to-find-package-Protobuf-before-checking-if-it-w.patch b/meta-arago-extras/recipes-framework/onnx/onnx/0001-Try-to-find-package-Protobuf-before-checking-if-it-w.patch new file mode 100644 index 00000000..dceac1f4 --- /dev/null +++ b/meta-arago-extras/recipes-framework/onnx/onnx/0001-Try-to-find-package-Protobuf-before-checking-if-it-w.patch @@ -0,0 +1,25 @@ +From 7e118775c120ec802d13ac3e0125d726323aee87 Mon Sep 17 00:00:00 2001 +From: Andrew Davis <afd@ti.com> +Date: Thu, 16 Jan 2025 11:44:56 -0600 +Subject: [PATCH] Try to find package Protobuf before checking if it was found + +Upstream-Status: Pending + +Signed-off-by: Andrew Davis <afd@ti.com> +--- + CMakeLists.txt | 2 ++ + 1 file changed, 2 insertions(+) + +diff --git a/CMakeLists.txt b/CMakeLists.txt +index b666eec4..f6fbf159 100644 +--- a/CMakeLists.txt ++++ b/CMakeLists.txt +@@ -127,6 +127,8 @@ if(ONNX_BUILD_TESTS) + set(googletest_STATIC_LIBRARIES GTest::gtest) + endif() + ++find_package(Protobuf) ++ + if((ONNX_USE_LITE_PROTO AND TARGET protobuf::libprotobuf-lite) OR ((NOT ONNX_USE_LITE_PROTO) AND TARGET protobuf::libprotobuf)) + # Sometimes we need to use protoc compiled for host architecture while linking + # libprotobuf against target architecture. See https://github.com/caffe2/caffe diff --git a/meta-arago-extras/recipes-framework/onnx/onnx_1.16.1.bb b/meta-arago-extras/recipes-framework/onnx/onnx_1.16.1.bb new file mode 100644 index 00000000..9624d061 --- /dev/null +++ b/meta-arago-extras/recipes-framework/onnx/onnx_1.16.1.bb @@ -0,0 +1,107 @@ +DESCRIPTION = "Open standard for machine learning interoperability" +SUMMARY = "ONNX Python package & C++ library" +HOMEPAGE = "https://www.onnx.ai/" +LICENSE = "Apache-2.0" +LIC_FILES_CHKSUM = "file://LICENSE;md5=3b83ef96387f14655fc854ddc3c6bd57" + +FILESEXTRAPATHS:prepend := "${THISDIR}/${PN}:" + +SRC_URI = "git://github.com/onnx/onnx.git;protocol=https;branch=rel-1.16.1" +SRC_URI += "file://0001-Try-to-find-package-Protobuf-before-checking-if-it-w.patch" +SRCREV = "595228d99e3977ac27cb79d5963adda262af99ad" + +S = "${WORKDIR}/git" + +DEPENDS += "\ + abseil-cpp \ + protobuf \ + protobuf-native \ + python3-protobuf \ + python3-protobuf-native \ +" + +PYTHON_DEPENDS = "\ + python3 \ + python3-numpy \ + python3-numpy-native \ + python3-pybind11 \ + python3-pybind11-native \ +" + +PYTHON_RDEPENDS = "\ + python3 \ + python3-numpy \ + python3-protobuf \ + python3-coloredlogs \ + python3-flatbuffers \ + python3-sympy \ +" + +PACKAGECONFIG ??= "python sharedlib unittests" + +PACKAGECONFIG[python] = "\ + -DBUILD_ONNX_PYTHON=ON \ + -DPYTHON_LIBRARY=${PYTHON_LIBRARY} \ + -DPYTHON_INCLUDE_DIRS=${PYTHON_INCLUDE_DIR}, \ + -DBUILD_ONNX_PYTHON=OFF, \ + ${PYTHON_DEPENDS} \ +" + +PACKAGECONFIG[sharedlib] = "-DBUILD_SHARED_LIBS=ON, -D-DBUILD_SHARED_LIBS=OFF" +PACKAGECONFIG[unittests] = "-DONNX_BUILD_TESTS=ON, -DONNX_BUILD_TESTS=OFF, googletest" + +EXTRA_OECMAKE:append = " \ + -DONNX_CUSTOM_PROTOC_EXECUTABLE=${STAGING_BINDIR_NATIVE}/protoc \ + -DONNX_USE_PROTOBUF_SHARED_LIBS=ON \ + -DONNX_DISABLE_STATIC_REGISTRATION=ON \ + -DONNX_ML=1 \ + -DCMAKE_VERBOSE_MAKEFILE=ON \ + --log-level=VERBOSE \ +" + +inherit python3native cmake + +python do_build_version_file() { + import os + import textwrap + + version_file_path = os.path.join(d.getVar('B'), "onnx", "version.py") + os.makedirs(os.path.dirname(version_file_path), exist_ok=True) + with open(version_file_path, "w", encoding="utf-8") as f: + f.write( + textwrap.dedent( + f"""\ + # This file is generated. DO NOT EDIT! + + + version = "{d.getVar('PV')}" + git_version = "{d.getVar('SRCREV')}" + """ + ) + ) +} +addtask build_version_file before do_install after do_compile + +do_install:append() { + CP_ARGS="-Prf --preserve=mode,timestamps --no-preserve=ownership" + + # Install the Python package. + if ${@bb.utils.contains('PACKAGECONFIG', 'python', 'true', 'false', d)}; then + install -d ${D}${PYTHON_SITEPACKAGES_DIR}/onnx + (cd ${S}/onnx; cp --parents $(find . -name "*.py*") ${D}${PYTHON_SITEPACKAGES_DIR}/onnx) + cp $CP_ARGS ${B}/onnx ${D}${PYTHON_SITEPACKAGES_DIR} + cp $CP_ARGS ${B}/onnx_cpp2py_export.so ${D}${PYTHON_SITEPACKAGES_DIR}/onnx + fi +} + +# Add Python package +PACKAGE_BEFORE_PN += "${PYTHON_PN}-${PN}" +FILES:${PYTHON_PN}-${PN} += "${PYTHON_SITEPACKAGES_DIR}" +RDEPENDS:${PYTHON_PN}-${PN} += "${PYTHON_RDEPENDS} onnx" + +# Output library is unversioned +SOLIBS = ".so" +FILES_SOLIBSDEV = "" + +# TODO: ONNXConfig.cmake in package onnx-dev contains reference to TMPDIR +INSANE_SKIP:${PN}-dev = "buildpaths"
ONNX provides an open source format for AI models, both deep learning and traditional ML. It defines an extensible computation graph model, as well as definitions of built-in operators and standard data types. Signed-off-by: Andrew Davis <afd@ti.com> --- ...age-Protobuf-before-checking-if-it-w.patch | 25 ++++ .../recipes-framework/onnx/onnx_1.16.1.bb | 107 ++++++++++++++++++ 2 files changed, 132 insertions(+) create mode 100644 meta-arago-extras/recipes-framework/onnx/onnx/0001-Try-to-find-package-Protobuf-before-checking-if-it-w.patch create mode 100644 meta-arago-extras/recipes-framework/onnx/onnx_1.16.1.bb