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* openvino-inference-engine: upgrade 2021.3 -> 2021.4Anuj Mittal2021-08-276-215/+349
| | | | | | | | | | 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>
* openvino-inference-engine: fix inference engine cmake configAnuj Mittal2021-07-211-0/+50
| | | | | | | | | 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>
* openvino-inference-engine: fix build with gcc11Anuj Mittal2021-05-071-0/+36
| | | | | | | | | | 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>
* openvino-inference-engine: upgrade 2021.2 -> 2021.3Anuj Mittal2021-04-224-213/+219
| | | | | | | | | | 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>
* openvino: upgrade 2021.1 -> 2021.2Anuj Mittal2020-12-294-215/+115
| | | | | | | | | | 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>
* openvino-inference-engine: upgrade 2020.4 -> 2021.1Anuj Mittal2020-10-085-97/+108
| | | | | | | | | 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>
* openvino-inference-engine: upgrade 2020.3 -> 2020.4Anuj Mittal2020-08-146-154/+158
| | | | | | | | | | | | | | | | | 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>
* openvino-inference-engine: fix installation of ngraph cmakeAnuj Mittal2020-06-241-4/+4
| | | | | | | 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>
* openvino-inference-engine: upgrade 2020.1 -> 2020.3.0Anuj Mittal2020-06-118-394/+578
| | | | | | | | | | | | * 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>
* dldt-inference-engine: fix int64_t does not name a type compile errorLiweiSong2020-06-031-0/+37
| | | | | | | | | | | | | 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>
* dldt-inference-engine: fix installation of samplesAnuj Mittal2020-04-131-114/+49
| | | | | | | | | 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>
* dldt: upgrade 2019r3.1 -> 2020r1Anuj Mittal2020-04-109-877/+448
| | | | | | | Release notes: https://software.intel.com/en-us/articles/OpenVINO-RelNotes Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
* dldt-inference-engine: use libdir when installing python modulesAnuj Mittal2020-02-251-6/+6
| | | | Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
* dldt-inference-engine: use firmware files from SRC_URIMartin Jansa2019-10-251-0/+104
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | * 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>
* dldt-inference-engine: install extension headers in includedir instead of ↵Martin Jansa2019-10-241-1/+1
| | | | | | | | | 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>
* dldt-inference-engine: update 2019r2 -> 2019r3Chin Huat Ang2019-10-218-242/+212
| | | | | | | 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>
* dldt-inference-engine: fix ptest failuresChin Huat Ang2019-10-212-0/+32
| | | | | | | | | | | | | | | | | | | | | | | 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>
* dldt-inference-engine: fix clDNN install directoryChin Huat Ang2019-09-301-0/+27
| | | | | | | | | | | | | | | | 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>
* dldt-inference-engine: upgrade 2019r1.1 -> 2019r2Anuj Mittal2019-09-3012-329/+663
| | | | | | | | | | | | | | | | * 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>
* dldt-inference-engine: add recipeChin Huat Ang2019-09-287-0/+423
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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