Intel OSPRay is an open source, scalable, and portable ray
tracing engine for high-performance, high-fidelity visualization
on Intel Architecture CPUs.
The purpose of OSPRay is to provide an open, powerful, and easy-to-use
rendering library that allows one to easily build applications that
use ray tracing based rendering for interactive applications
(including both surface- and volume-based visualizations). OSPRay
is completely CPU-based, and runs on anything from laptops, to
workstations, to compute nodes in HPC systems.
https://www.ospray.org/
Signed-off-by: Naveen Saini <naveen.kumar.saini@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
Intel(R) Open Volume Kernel Library (Intel(R) Open VKL) is a collection of
high-performance volume computation kernels, developed at Intel. The
target users of Open VKL are graphics application engineers who want to
improve the performance of their volume rendering applications by
leveraging Open VKL’s performance-optimized kernels, which include
volume traversal and sampling functionality for a variety of volumetric
data formats. The kernels are optimized for the latest Intel(R) processors
with support for SSE, AVX, AVX2, and AVX-512 instructions.
Open VKL provides a C API, and also supports applications written with
the Intel(R) Implicit SPMD Program Compiler (Intel(R) ISPC) by also
providing an ISPC interface to the core volume algorithms. This makes it
possible to write a renderer in ISPC that automatically vectorizes and
leverages SSE, AVX, AVX2, and AVX-512 instructions. ISPC also supports
runtime code selection, thus ISPC will select the best code path for
your application.
https://www.openvkl.org/
Signed-off-by: Naveen Saini <naveen.kumar.saini@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
Temporarily disable opencl since intel-graphics-compiler and vc-intrinsics
compile failed since some api of llvm changed.
Signed-off-by: Changqing Li <changqing.li@windriver.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
Intel(R) Embree is a collection of high-performance ray tracing kernels,
developed at Intel. The target users of Intel(R) Embree are graphics
application engineers who want to improve the performance of their
photo-realistic rendering application by leveraging Embree's
performance-optimized ray tracing kernels.
The kernels are optimized for the latest Intel(R) processors with
support for SSE, AVX, AVX2, and AVX-512 instructions.
https://github.com/embree/embree
Added syrah license file
https://github.com/boulos/syrah/blob/master/LICENSE
Signed-off-by: Naveen Saini <naveen.kumar.saini@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
rkcommon represents a common set of C++ infrastructure and
CMake utilities used by various components of
Intel® oneAPI Rendering Toolkit.
https://github.com/ospray/rkcommon
Signed-off-by: Naveen Saini <naveen.kumar.saini@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
Update openvino to the latest one c5f7ad383e65 ("Fix
license header in Movidius sources") since it is include
a important license change from Intel private License to
Apache2.0 which is allowed external user to disclose it
without limit.
Signed-off-by: Liwei Song <liwei.song@windriver.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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>
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>
The EDK2 sources are DOS-style on server (contains CRLF) and this may
cause interop issues on Linux machines (patches do not apply clean) The
standard solution is to use the "dos2unix" bbclass, but that can modify
only files under the ${S} folder - meaning we have to move the edk2
checkout folder from ${S}/../edk2 to ${S}/edk2. Also, the LICENSE file
checksum is going to be impacted by the dos2unix conversion.
Signed-off-by: Robi Buranyi <rburanyi@google.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
ipmctl is a utility for configuring and managing Intel® Optane™ Persistent Memory modules (PMem).
It supports functionality to:
* Discover PMems on the platform.
* Provision the platform memory configuration.
* View and update the firmware on PMems.
* Configure data-at-rest security on PMems.
* Track health and performance of PMems.
* Debug and troubleshoot PMems.
* ipmctl refers to the following interface components:
libipmctl: An Application Programming Interface (API) library for managing PMems.
ipmctl: A Command Line Interface (CLI) application for configuring and managing PMems from the command line.
Signed-off-by: Naveen Saini <naveen.kumar.saini@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
Fixed new dependencies failure.
| automake: error: cannot open < gtk-doc.make: No such file or directory
| autoreconf: error: automake failed with exit status: 1
| checking for upower-glib... no
| configure: error: Package requirements (upower-glib) were not met:
|
| No package 'upower-glib' found
| checking for libevdev... no
| configure: error: Package requirements (libevdev) were not met:
|
| No package 'libevdev' found
upower library recipe comes from meta-openembedded/meta-oe layer, so
moved recipe to dyanmic-layer.
Dropped patch, which is not requried anymore.
Signed-off-by: Naveen Saini <naveen.kumar.saini@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
Drop a patch that has been merged and include another that was
accidently left off during the last upgrade.
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
Make sure that ClDNN runtime is built by default. This would need clang
layer to be included as well.
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
python2 is EOL, so switch shebang to python3
Signed-off-by: Changqing Li <changqing.li@windriver.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
Allow users to select either ConnMan or Network Manager. Also fixes an
issue introduced because of a recent change in 2022.0.0.0 that removed
the build time check in favor of explicit options to select the right
network manager [1].
[1] 1b8fa45264
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
Disable the compilation of cim plugin of openwsman explicitly to avoid
looking for library that is needed for code we don't want to build.
Fixes:
| CMake Error at CMakeLists.txt:329 (FIND_LIBRARY):
| Could not find SFCC_LIBRARIES using the following names: cmpisfcc
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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>
We're checking for REQUIRED_DISTRO_FEATURES so make sure that it
actually is used and inherit features_check. Fixes:
| lms-2022.0.0.0-r0 do_package_qa: QA Issue: lms: recipe doesn't inherit features_check [unhandled-features-check]
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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>
* 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>
The oneAPI Level-Zero Application Programming Interface (API) is to
provide direct-to-metal interfaces to offload accelerator devices.
Its programming interface can be tailored to any device needs and
can be adapted to support broader set of languages features such as
function pointers, virtual functions, unified memory, and I/O capabilities.
It contains following components of oneAPI:
-> Copies of the Level Zero Specification API C/C++ header files
-> Level Zero Loader
-> Level Zero Validation Layer
It should be installed using:
IMAGE_INSTALL_append = " level-zero-headers level-zero-loader"
Signed-off-by: Naveen Saini <naveen.kumar.saini@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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>
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>
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>
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>
* 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>
* 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>
* 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>
* 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>
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>
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>
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>
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>
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>
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>
* 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>
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>
Drop library packaging workarounds - not needed with a new sources.
Signed-off-by: Alexander Usyskin <alexander.usyskin@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
This is a new release of Local Manageability Service.
This open-source release deprecates unsupported lms7 and lms8.
This recipe depends on ACE and MeTee library recipes.
Signed-off-by: Alexander Usyskin <alexander.usyskin@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
