linux/meta-intel.git/conf/layer.conf, branch master-next

allow to build with zeus

2020-04-24T06:14:16+00:00

class 'distro_features_check' has moved to 'features_check', which does not allow dunfell and latest releases to build against zeus release. inherit class based on LAYERSERIES_CORENAMES Signed-off-by: Naveen Saini Signed-off-by: Anuj Mittal

libva-utils-intel: keep upgraded libva-utils version to meta-intel MACHINE specific

2020-04-16T05:40:46+00:00

Make sure that we use the upgraded version of libva-utils only when using MACHINE value from meta-intel. For all other cases, libva-utils from oe-core should be used. Signed-off-by: Naveen Saini Signed-off-by: Anuj Mittal

libva-intel: keep upgraded libva version to meta-intel MACHINE specific

2020-04-16T05:40:46+00:00

Make sure that we use the upgraded version of libva only when using MACHINE value from meta-intel. For all other cases, libva from oe-core should be used. Signed-off-by: Naveen Saini Signed-off-by: Anuj Mittal

layer.conf: update LAYERSERIES_COMPAT to dunfell

2020-03-15T22:48:06+00:00

There are changes in current master that will work only with dunfell so remove all other branches. Signed-off-by: Anuj Mittal

virtualization: include virtualization feature in linux-intel 4.19 kernel

2020-03-03T07:18:52+00:00

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 Signed-off-by: Anuj Mittal

layer: Mark zeus as compatible release

2019-10-09T03:32:32+00:00

Signed-off-by: Khem Raj Signed-off-by: Anuj Mittal

dldt-model-optimizer: add recipe

2019-09-24T02:24:42+00:00

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

layer.conf: add default PREFERRED_PROVIDERS for zlib

2019-08-06T23:58:50+00:00

This layer adds zlib-intel, which PROVIDES zlib. If meta-intel is added to a build but a meta-intel MACHINE isn't used then bitbake will warn that there are multiple candidates for zlib: NOTE: Multiple providers are available for zlib-native (zlib-native, zlib-intel-native) Consider defining a PREFERRED_PROVIDER entry to match zlib-native NOTE: Multiple providers are available for zlib (zlib, zlib-intel) Consider defining a PREFERRED_PROVIDER entry to match zlib Silence these warnings by adding PREFERRED_PROVIDER defaults in layer.conf. Signed-off-by: Ross Burton Signed-off-by: Anuj Mittal

lms: add recipe for lms 1921.0.0.0

2019-06-19T12:07:20+00:00

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 Signed-off-by: Anuj Mittal

clang: build Intel common-clang and spirv

2019-05-17T11:33:24+00:00

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