| Commit message (Collapse) | Author | Age | Files | Lines |
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Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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Replace a local patch with a backport that allows defining value for
cloc_cmd_prefix.
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 a submitted patch instead to point to correct llvm-tblgen and include
a fix to really link with all libs when LLVM libs are built statically.
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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Remove patches that are present in this version of llvm and backport a
fix to prevent linking errors.
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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In order to include visa/ headers from igc, set
IGC_DIR path
Signed-off-by: Naveen Saini <naveen.kumar.saini@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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as virtualization layer allow to added kernel feature to certain
kernel version, kernel 4.19 is not included, see :
https://git.yoctoproject.org/cgit/cgit.cgi/meta-virtualization/commit/?id=f2f36a8061c600b35b5f0ce1599d59f1d144a3aa
add bbappend to linux-intel 4.19 kernel to include necessary
virtualization config when virtualizaton layer is included.
[YOCTO #13727]
Signed-off-by: Chee Yang Lee <chee.yang.lee@intel.com>
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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For more details:
https://github.com/intel/compute-runtime/releases/tag/20.04.15428
Signed-off-by: Naveen Saini <naveen.kumar.saini@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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Dropped the patch which is already upstream.
Signed-off-by: Naveen Saini <naveen.kumar.saini@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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Patch is already carried by meta-clang layer.
https://github.com/kraj/meta-clang/commit/ab686950af8d7f02e0ca614d277c7c0ca36954ed
Signed-off-by: Naveen Saini <naveen.kumar.saini@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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Signed-off-by: Alexander Usyskin <alexander.usyskin@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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Fix the dependency to be added when ptests are not enabled. Fixes:
| ERROR: Nothing PROVIDES '0' (but /meta-intel/dynamic-layers/openembedded-layer/recipes-support/opencv/dldt-inference-engine_2019r3.1.bb DEPENDS on or otherwise requires it)
| ERROR: Required build target 'dldt-inference-engine' has no buildable providers.
| Missing or unbuildable dependency chain was: ['dldt-inference-engine', '0']
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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Release notes can be found here:
https://github.com/intel/compute-runtime/releases/tag/19.44.14658
Signed-off-by: Naveen Saini <naveen.kumar.saini@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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Dropped patch which is already merged in this release.
More details can be found at:
https://github.com/intel/intel-graphics-compiler/releases/tag/igc-1.0.2714.1
Signed-off-by: Naveen Saini <naveen.kumar.saini@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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https://github.com/intel/opencl-clang/releases/tag/v9.0.0
Recommended for latest intel-compute-runtime v19.44.14658
https://github.com/intel/compute-runtime/releases/tag/19.44.14658
Signed-off-by: Naveen Saini <naveen.kumar.saini@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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Release notes can be found here:
https://github.com/KhronosGroup/SPIRV-LLVM-Translator/releases/tag/v9.0.0-1
Recommended for latest intel-compute-runtime v19.44.14658
https://github.com/intel/compute-runtime/releases/tag/19.44.14658
Signed-off-by: Naveen Saini <naveen.kumar.saini@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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Signed-off-by: Naveen Saini <naveen.kumar.saini@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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LIBCPLUSPLUS is now set to use GNU libstdc++ by default. A new variable
RUNTIME can be used to change this behaviour.
https://github.com/kraj/meta-clang/commit/6895c79e0576dff1824f261c258be2e438ea0508
Remove this bbappend as it is not required any more.
Signed-off-by: Naveen Saini <naveen.kumar.saini@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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Signed-off-by: Ross Burton <ross.burton@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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Install the OpenCL kernels and cldnn_global_custom_kernels.xml to allow
specification of OpenCL kernels for custom layers.
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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It adds generic recipe for Intel Real Sense SDK.
Signed-off-by: Ankit Navik <ankit.tarot@gmail.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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Signed-off-by: Chin Huat Ang <chin.huat.ang@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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Signed-off-by: Chin Huat Ang <chin.huat.ang@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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* Make sure that USB udev rules for Intel(R) Movidius(TM) Neural Compute
Stick and Intel(R) Neural Compute Stick 2 are packaged.
* Package vpu firmware only when it is enabled.
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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For changes in this release, see:
https://software.intel.com/en-us/articles/OpenVINO-RelNotes
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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* There is interesting issue in do_patch, I was debugging strange
behavior with .bbappend where I've added another small patch.
And it started failing to configure completely.
bitbake -e shows that all .patch files are in SRC_URI and
log.do_patch shows that all were applied, but git diff (as well as
patches/series) shows only the last one added from the bbappend
to be applied.
This was caused by 8 existing patches in .bb file using ;patchdir=../
and my patch in .bbappend using ;patchdir=.. without slash at the end,
it should be fixed in quilt (or how do_patch is using it), but for
now just drop the trailing slash, because 99.9% recipes use ;patchdir=..
without the slash.
It's easily reproducible by removing the slash from the last patch
(without any bbappend).
Signed-off-by: Martin Jansa <Martin.Jansa@gmail.com>
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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Signed-off-by: Martin Jansa <Martin.Jansa@gmail.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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* add PACKAGECONFIG for vpu
* add extra package for firmware files
* tested on rpi4 with NCS2
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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Signed-off-by: Martin Jansa <Martin.Jansa@gmail.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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This shouldn't be forced upon users including the layer without using the
machine value from meta-intel.
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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Instead of letting clDNN build against intel_ocl_icd prebuilt binaries
under clDNN/common/intel_ocl_icd, configure cmake build to pick up
opencl-icd-loader headers and libraries from staging directory.
Do not set CMAKE_INSTALL_LOCAL_ONLY as it is unused.
Signed-off-by: Chin Huat Ang <chin.huat.ang@intel.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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VPU plugins are untested, temporarily disable them.
Signed-off-by: Chin Huat Ang <chin.huat.ang@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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Inference engine is still downloading and building it's own copy of
mkl-dnn, so remove it from DEPENDS.
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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LLD linker is no longer the default for clang-native, so
we can build binaries linking to clang-native using GNU ld.
Signed-off-by: Naveen Saini <naveen.kumar.saini@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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LLD linker is no longer the default for clang-native, so
we can build binaries linking to clang-native using GNU ld.
Signed-off-by: Naveen Saini <naveen.kumar.saini@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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LLD linker is no longer the default for clang-native, so
we can build binaries linking to clang-native using GNU ld.
Signed-off-by: Naveen Saini <naveen.kumar.saini@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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It depends on ace which is marked as incompatible for musl as well
Signed-off-by: Khem Raj <raj.khem@gmail.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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Add PACKAGECONFIG[python3] for building dldt-inference-engine-python3
package which contains the inference engine python API.
Also tweak recipe to inherit python3native instead of relying on host
python as building the python API requires python3-cython which might
not be available on the host.
Signed-off-by: Chin Huat Ang <chin.huat.ang@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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No need to set LLVM_TARGETS_TO_BUILD here as it
is set by meta-clang layer.
Signed-off-by: Naveen Saini <naveen.kumar.saini@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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Model Optimizer is a cross-platform command-line tool that facilitates
the transition between the training and deployment environment,
performs static model analysis, and adjusts deep learning models for
optimal execution on end-point target devices.
For more details, see:
https://software.intel.com/en-us/openvino-toolkit/deep-learning-cv
Since the recipe requires bits from meta-python, move this to the
dynamic layers section and add meta-python to BBFILES_DYNAMIC.
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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We'd like to ignore the older tags using year and work week strings like
2018ww19-010806 and use only the ones that have numbers and are in
x.y.z format.
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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There is no need to invoke the cmake target explicitly now to have cmake
files installed. Remove the append to do_install doing that.
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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