| Commit message (Collapse) | Author | Age | Files | Lines |
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* Remove all openvino related recipes, tests and other data from meta-intel
layer as a new layer (meta-oepnvino) specific to openvino has been created.
* Update openvino documentation
meta-openvino layer URL:
https://github.com/intel/meta-openvino
Signed-off-by: Yogesh Tyagi <yogesh.tyagi@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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- Disable NPU plugin for now and enable it in a later change
- Drop backported patch which is now avialable in this version
- Drop patch which is already merged upstream
- Refresh patches
Release Notes:
https://github.com/openvinotoolkit/openvino/releases/tag/2024.1.0
Signed-off-by: Yogesh Tyagi <yogesh.tyagi@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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- Removed the Cython patch, which is no longer relevant
as Legacy IE python API has been removed:
https://github.com/openvinotoolkit/openvino/commit/a561a2a484049cc63fd0959646ef5c1cb8f3c2e6
- Remove cython dependency as well from recipe
- Remove the switch disabling MLAS support. It's enabled by default.
Fetch the submodule as well and include the file pointing to its
Apache-2.0 license in LIC_FILES_CHKSUM.
- Update conditional check to exclude directories which have "/usr/include"
in them to not add <sysroot>/usr/include as well.
- Backport a patch which solves the build failure caused by setting the
"ENABLE_OV_ONNX_FRONTEND" option to "OFF"
Release Notes:
https://github.com/openvinotoolkit/openvino/releases/tag/2024.0.0
Signed-off-by: Yogesh Tyagi <yogesh.tyagi@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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* Release notes:
https://github.com/openvinotoolkit/openvino/releases/tag/2023.2.0
* Drop the patches which included header cstdint to fix build issues with gcc13 as
these changes are already incorporated in the upstream code.
* gflags and zlib are now used as bundled dependencies
https://github.com/openvinotoolkit/openvino/pull/20762
* Refresh the patches
Signed-off-by: Yogesh Tyagi <yogesh.tyagi@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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Make sure Python modules are installed correctly when baselib = lib64.
Fixes errors:
15:33:18 ERROR: openvino-inference-engine-2023.1.0-r0 do_package: QA Issue: openvino-inference-engine: Files/directories were installed but not shipped in any package:
15:33:18 /usr/lib/python3.11/site-packages/_pyngraph.cpython-311-x86_64-linux-gnu.so
15:33:18 /usr/lib/python3.11/site-packages/ngraph
...
15:33:18 /usr/lib/python3.11/site-packages/openvino-2023.1.0-py3.11.egg-info/top_level.txt
15:33:18 /usr/lib/python3.11/site-packages/openvino-2023.1.0-py3.11.egg-info/SOURCES.txt
15:33:18 Please set FILES such that these items are packaged. Alternatively if they are unneeded, avoid installing them or delete them within do_install.
15:33:18 openvino-inference-engine: 172 installed and not shipped files. [installed-vs-shipped]
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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* Release notes:
https://github.com/openvinotoolkit/openvino/releases/tag/2023.1.0
* samples package includes scripts that need Python to be present.
Specify that dependency explicitly.
License-Update: Updated copyright information.
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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* Refresh patches.
* Drop Protobuf change which disabled use of static protobuf
libs from system. This is not needed anymore as we are now
building Protobuf as bundled dependency.
Release Notes:
https://github.com/openvinotoolkit/openvino/releases/tag/2023.0.1
Signed-off-by: Yogesh Tyagi <yogesh.tyagi@intel.com>
Signed-off-by: Naveen Saini <naveen.kumar.saini@intel.com>
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Use the version of protobuf fetched by OpenVINO instead of the
system version to avoid problems because of differences in what was
tested.
The build invokes protoc at build time so provide a qemu wrapper that
will allow that to be run on build machine.
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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* OpenVINO no longer supports vpu so remove the vpu PACKAGECONFIG and
references.
* Now allows snappy compression to be used for TF frontend so allow
system installed snappy.
* Flatbuffers is now needed for TF Lite frontend.
* Refresh patches.
Signed-off-by: Yogesh Tyagi <yogesh.tyagi@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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Fix various issues when compiling with gcc13.
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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Brings in support for NumPy 1.24 and support for system installed
OpenCL. Includes a newer version of myriad firmware as well.
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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Switch to using variables defined for RPM generation as it more closely
aligns with how we install libraries and remove the tweak done for
debian variables.
Also fixes packaging issues when BASELIB is set to lib64:
| 20:18:42 ERROR: openvino-inference-engine-2022.3.0-r0 do_package: QA Issue: openvino-inference-engine: Files/directories were installed but not shipped in any package:
| 20:18:42 /usr/lib/python3.10/site-packages/_pyngraph.cpython-310-x86_64-linux-gnu.so
| 20:18:42 /usr/lib/python3.10/site-packages/requirements.txt
...
| 20:18:42 /usr/lib/python3.10/site-packages/openvino/inference_engine/ie_api.cpython-310-x86_64-linux-gnu.so
| 20:18:42 /usr/lib/python3.10/site-packages/openvino/inference_engine/constants.cpython-310-x86_64-linux-gnu.so
| 20:18:42 /usr/lib/python3.10/site-packages/openvino/inference_engine/__init__.py
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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* OpenVINO now installs libraries and headers correctly so we don't need
the local patches anymore.
* Switch to using pybind11 from system. json-schema-validator is no
longer used and open model zoo submodule is only used when building a
specific tool so these submodules have been removed.
* Tweak build scripts to include Yocto specific changes.
License-Update: xbyak deleted the Japaneses translation from COPYRIGHT
and nlohmann_json updated copyright years.
Signed-off-by: Yogesh Tyagi <yogesh.tyagi@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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- Change gflag to shared as we are not building with static library.
- We are using zlib from yocto recipe, so don't add zlib as third party package
- Third party package mkl-dnn name changed to onednn upstream in openvino repo so changed
the name accordingly in openvino-inference-engine recipe
- Refresh patches
Release Notes:
https://github.com/openvinotoolkit/openvino/releases/tag/2022.2.0
Signed-off-by: Yogesh Tyagi <yogesh.tyagi@intel.com>
Signed-off-by: Naveen Saini <naveen.kumar.saini@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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Enable an option that's is available now to use TBB from system and
refresh patches accordingly. This version also switches to using system
installed OpenCV and Intel version is not included.
Release notes:
https://github.com/openvinotoolkit/openvino/releases/tag/2022.1.1
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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Prevent host paths from getting into target packages. Also prevents
buildpaths warnings for files:
| File /usr/lib/libopenvino.so in package openvino-inference-engine contains reference to TMPDIR [buildpaths]
| File /usr/lib/python3.10/site-packages/openvino/inference_engine/ie_api.so in package openvino-inference-engine-python3 contains reference to TMPDIR [buildpaths]
| File /usr/src/debug/openvino-inference-engine/2022.1-r0/build/src/plugins/intel_cpu/cross-compiled/proposal_imp_disp.cpp in package openvino-inference-engine-src contains reference to TMPDIR
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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Refresh patches, update dependencies and licenses for the new
components.
Release notes:
https://github.com/openvinotoolkit/openvino/releases/tag/2022.1.0
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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Refresh patches and add zlib to DEPENDS. Also fetch pybind11 as it's
needed by ngraph.
Release notes:
https://software.intel.com/content/www/us/en/develop/articles/openvino-2021-4-lts-relnotes.html
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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When included in a project using find_package, it goes and looks for
headers and cmake module at an incorrect path.
Make sure that we are able to locate the headers and cmake module file.
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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Include the header explicitly to avoid failures:
| inference-engine/src/plugin_api/ie_system_conf.h:21:31: error: 'exception_ptr' in namespace 'std' does not name a type; did you mean 'exception'?
| 21 | INFERENCE_ENGINE_API_CPP(std::exception_ptr&) CurrentException();
| | ^~~~~~~~~~~~~
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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Release notes:
https://github.com/openvinotoolkit/openvino/releases/tag/2021.3
Remove a patch that isn't needed anymore and refresh the rest. Remove
dependency on onednn as it's using a forked version.
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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For release notes, see:
https://software.intel.com/content/www/us/en/develop/articles/openvino-relnotes.html
Refresh patches and use the now available option to build against system
version of pugixml.
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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Release notes:
https://software.intel.com/content/www/us/en/develop/articles/openvino-relnotes.html
Update the firmware files and refresh patches as well.
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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For release notes, see:
https://software.intel.com/content/www/us/en/develop/articles/openvino-relnotes.html
The recipe has been changed to:
- disable unit tests as they rely on an older version of googletest.
- remove a patch as it was merged upstream.
- backport a patch instead of using a local version.
- refresh other patches.
- download mkl-dnn separately instead of using the submodule. The
project downloads a lot of other modules as well and we don't
want/use those.
- not download lfs documentation content.
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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Make sure that cmake files are installed at correct location so they
could be located using find_package.
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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* Point to the renamed repository and change the project name to
openvino-inference-engine.
* Include ngraph as a submodule instead of using it as a separate
project.
* Use the new unit tests, the old ones have been deprecated.
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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fix compile error:
inference-engine/src/mkldnn_plugin/mkldnn_memory_solver.hpp:60:9: error: 'int64_t' does not name a type
| 60 | int64_t size;
| | ^~~~~~~
include stdint.h to fix it.
Signed-off-by: Liwei Song <liwei.song@windriver.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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We don't want to install sample sources. So delete them and install the
binaries instead. Also make sure that we're installing the python
samples and modules at correct location. Remove the tweaks from local
patch and copy in the recipe itself.
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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Release notes:
https://software.intel.com/en-us/articles/OpenVINO-RelNotes
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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* use the files from SRC_URI instead of fetching them during
configure
* use the firmware files CMake would download during configure
when not provided already, I haven't found any changelog to
find out what's the difference between
firmware_ma2x8x_784.zip firmware_ma2x8x_mdk_R9.8.zip
firmware_ma2450_759W.zip firmware_ma2450_784.zip
firmware_mv0262_784.zip firmware_mv0262_mdk_R9.8.zip
so to be safe use whatever CMake does and what I was testing
on raspberrypi4 before (because of missing this fix).
-- Downloading from https://download.01.org/opencv/2019/openvinotoolkit/R3/inference_engine/firmware_ma2450_759W.zip to dldt-inference-engine/2019r3-r0/git/inference-engine/temp/download/firmware_ma2450_759W.zip ...
-- Downloading from https://download.01.org/opencv/2019/openvinotoolkit/R3/inference_engine/firmware_ma2x8x_mdk_R9.8.zip to dldt-inference-engine/2019r3-r0/git/inference-engine/temp/download/firmware_ma2x8x_mdk_R9.8.zip ...
-- Downloading from https://download.01.org/opencv/2019/openvinotoolkit/R3/inference_engine/firmware_mv0262_mdk_R9.8.zip to dldt-inference-engine/2019r3-r0/git/inference-engine/temp/download/firmware_mv0262_mdk_R9.8.zip ...
* add PACKAGECONFIG verbose for VERBOSE_BUILD so it's easier
to debug which firmware files are being used, in this case:
log.do_configure will show:
-- ma2450=../mvnc/MvNCAPI-ma2450.mvcmd
-- ma2x8x=../mvnc/MvNCAPI-ma2x8x.mvcmd
-- mv0262=../mvnc/MvNCAPI-mv0262.mvcmd
* the patch is very loosely based on the patch removed here:
http://git.yoctoproject.org/cgit/cgit.cgi/meta-intel/diff/dynamic-layers/openembedded-layer/recipes-support/opencv/files/0003-Supply-firmware-at-build-time.patch?id=649456856dc38086e7d43d740d68198e3395b067
but I've reworked it competely to simplify this mess :)
Signed-off-by: Martin Jansa <Martin.Jansa@gmail.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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share/doc
* otherwise components depending on them won't be able to find them
Signed-off-by: Martin Jansa <Martin.Jansa@gmail.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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Refresh patches so that they apply cleanly on 2019r3.
Signed-off-by: Chin Huat Ang <chin.huat.ang@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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Package libmock_engine.so as part of dldt-inference-engine-ptest and
update run-ptest to set LD_LIBRARY_PATH to fix the following
InferenceEngineUnitTests failures:
FAIL: 12 tests, listed below:
FAIL: PluginTest.canCreatePlugin
FAIL: PluginTest.canCreatePluginUsingSmartPtr
FAIL: PluginTest.shouldThrowExceptionIfPluginNotExist
FAIL: PluginTest.canCallErrorHandlerIfNecessary
FAIL: PluginTest.canForwardPluginEnginePtr
FAIL: PluginTest.canSetConfiguration
FAIL: PluginDispatcherTests.canLoadMockPlugin
FAIL: PluginDispatcherTests.returnsIfLoadSuccessfull
FAIL: SharedObjectLoaderTests.canLoadExistedPlugin
FAIL: SharedObjectLoaderTests.canFindExistedMethod
FAIL: SharedObjectLoaderTests.throwIfMethodNofFoundInLibrary
FAIL: SharedObjectLoaderTests.canCallExistedMethod
Signed-off-by: Chin Huat Ang <chin.huat.ang@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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Install clDNN to /usr/lib to resolve the following inference engine
error when running with GPU plugin:
[ ERROR ] Failed to create plugin libclDNNPlugin.so for device GPU
Please, check your environment
Cannot load library 'libclDNNPlugin.so': libclDNNPlugin.so: cannot open
shared object file: No such file or directory
/usr/src/debug/dldt-inference-engine/2019r2-r0/git/inference-engine/include/details/os/lin_shared_object_loader.h:36
/usr/src/debug/dldt-inference-engine/2019r2-r0/git/inference-engine/src/inference_engine/ie_core.cpp:277
Signed-off-by: Chin Huat Ang <chin.huat.ang@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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* Release notes:
https://software.intel.com/en-us/articles/OpenVINO-RelNotes
* Enable unit tests to be built and tested using ptest mechanism.
* Include patches from Clear Linux for build fixes.
* Switch to using python3 and threading to using TBB. Switch ENABLE_OPENCV
to off so opencv from system is used.
* Remove do_install and patch Makefiles instead to install libraries correctly.
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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This recipe builds the inference engine from opencv/dldt 2019 R1.1
release.
OpenVINO™ toolkit, short for Open Visual Inference and Neural network
Optimization toolkit, provides developers with improved neural network
performance on a variety of Intel® processors and helps further unlock
cost-effective, real-time vision applications.
The toolkit enables deep learning inference and easy heterogeneous
execution across multiple Intel® platforms (CPU, Intel® Processor Graphics)—providing
implementations across cloud architectures to edge device.
For more details, see:
https://01.org/openvinotoolkit
The recipe needs components from meta-oe so move it to
dynamic-layers/openembedded-layer. GPU plugin support needs intel-compute-runtime
which can be built by including clang layer in the mix as well.
CPU and GPU plugins have been sanity tested to work using
classification_sample. Further fine-tuning is still needed to improve
the performance.
Original patch by Anuj Mittal.
Signed-off-by: Chin Huat Ang <chin.huat.ang@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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