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>
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>
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>
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>
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>
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>
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>
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>
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>
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>
Removed patches which are not required anymore.
Updated python version to 3.
In this release, fixed issue/improvements can be
found here:
https://github.com/intel/intel-graphics-compiler/releases/tag/igc-1.0.11
Signed-off-by: Naveen Saini <naveen.kumar.saini@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
With this upgrade, by default -DPREFERRED_LLVM_VERSION="9.0.0" is set.
Changes can be check here:
https://github.com/intel/opencl-clang
Signed-off-by: Naveen Saini <naveen.kumar.saini@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
The library isn't explicitly linking against these libs and loads them
at runtime. Add these to RDEPENDS to make sure these are present.
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
The Intel(R) Graphics Compute Runtime for OpenCL(TM) is an open source
project to converge Intel's development efforts on OpenCL(TM) compute
stacks supporting the GEN graphics hardware architecture.
For more details, see:
https://01.org/compute-runtime
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
* Use clang and lld for native builds to remain in sync with clang layer.
* fix the license field to point to correct block of license in source
file.
* Include patches to ignore warnings being marked as errors when building
with clang and to fix an issue with inclusion of debug functions when
NDEBUG is defined.
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
Also include a patch to not build tests to prevent passing the build
flag to every component that is built out of tree.
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
Switch to using latest on ocl-release-80 branch and to using
using lld for native builds to remain in sync with clang layer.
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
Since this is managed as a separate repository, build it as a separate
component instead of bundling with LLVM/clang.
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
Use a custom regex to make sure we exclude tags starting with something
other than igc and those that include versions starting with 19.
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>
igc needs components from LLVM and clang to be built. Move it to
dynamic-layers/clang-layer so world builds don't fail when clang layer
is not available.
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>
Common clang is a thin wrapper library around clang. Common clang has
OpenCL-oriented API and is capable to compile OpenCL C kernels to SPIR-V
modules.
This adds a bbappend to clang recipe from meta-clang to build the
necessary components and moves it to dynamic layers so it's built only
when clang-layer is included.
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
