path: root/dynamic-layers
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2019-10-21intel-graphics-compiler: use default TOOLCHAINNaveen Saini1-3/+0
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>
2019-10-21opencl-clang: use default TOOLCHAINNaveen Saini1-3/+0
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>
2019-10-10lms: Do not build on muslKhem Raj1-0/+2
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>
2019-10-10dldt-inference-engine: add PACKAGECONFIG for python APIChin Huat Ang1-5/+11
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>
2019-10-09clang: clean upNaveen Saini1-2/+0
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>
2019-09-30dldt-inference-engine: fix clDNN install directoryChin Huat Ang2-0/+28
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>
2019-09-30dldt-inference-engine: upgrade 2019r1.1 -> 2019r2Anuj Mittal14-404/+751
* 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>
2019-09-28dldt-inference-engine: add recipeChin Huat Ang8-0/+498
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>
2019-09-24dldt-model-optimizer: add recipeAnuj Mittal1-0/+31
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>
2019-09-19compute-runtime: update UPSTREAM_CHECK_GITTAGREGEX2.8_M3Anuj Mittal1-0/+1
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>
2019-09-19clang: remove do_install appendAnuj Mittal1-4/+0
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>
2019-09-19clang: remove COMPATIBLE_HOSTAnuj Mittal1-2/+0
clang builds fine for 32-bit targets too now. Remove COMPATIBLE_HOST. Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
2019-09-13intel-compute-runtime: upgrade 19.21.13045 -> 19.35.13977Naveen Saini1-1/+1
Release notes can be found here: https://github.com/intel/compute-runtime/releases/tag/19.35.13977 Signed-off-by: Naveen Saini <naveen.kumar.saini@intel.com> Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
2019-09-13intel-graphics-compiler: upgrade 1.0.6 -> 1.0.11Naveen Saini6-130/+425
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>
2019-09-13opencl-clang: upgrade 8.0.1 -> 9.0.0Naveen Saini2-5/+10
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>
2019-09-13llvm-project-source: update SPIRV-LLVM-Translator 8.0.0 -> 9.0.0Naveen Saini10-1552/+285
Remove all the backported patches which are available in 9.0.0 release. Few patches were recommended from llvm-patches repo: https://github.com/intel/intel-graphics-compiler/blob/master/documentation/build_ubuntu.md https://github.com/intel/llvm-patches/commit/3906cc086f675847ca99b08107d18e083803d53c Signed-off-by: Naveen Saini <naveen.kumar.saini@intel.com> Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
2019-08-30intel-graphics-compiler: add opencl-clang to RDEPENDSAnuj Mittal1-0/+2
igc dlopens common clang library so make sure it's added to RDEPENDS. Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
2019-08-30intel-compute-runtime: include igc and gmmlib in RDEPENDSAnuj Mittal1-0/+2
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>
2019-08-21compute-runtime: addAnuj Mittal2-0/+86
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>
2019-08-21igc: build for native tooAnuj Mittal3-3/+130
* 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>
2019-08-21llvm-spirv: update to sync with opencl-clangAnuj Mittal4-425/+371
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>
2019-08-21opencl-clang: upgrade 8.0.0 -> 8.0.1Anuj Mittal1-2/+4
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>
2019-08-21opencl-clang: move to a separate recipeAnuj Mittal5-65/+74
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>
2019-08-09intel-graphics-compiler: use custom UPSTREAM_CHECK_GITTAGREGEXAnuj Mittal1-0/+2
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>
2019-08-07lms: upgrade 1921.0.0.0 -> 1932.0.0.0Alexander Usyskin2-11/+6
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>
2019-07-31intel-graphics-compiler: build only when clang layer is includedAnuj Mittal3-0/+142
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>
2019-06-19lms: add recipe for lms 1921.0.0.0Alexander Usyskin2-0/+70
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>
2019-05-17clang: build Intel common-clang and spirvAnuj Mittal8-0/+1784
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>