aboutsummaryrefslogtreecommitdiffstats
path: root/conf
AgeCommit message (Collapse)Author
2024-03-15conf/layer.conf: add scarthgap to layers compatHongxu Jia
Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>
2024-01-08layer.conf: revert -> add dl layer to LAYERRECOMMENDSRandy MacLeod
The -dl (download) layers are not used anywhere but in Wind River products so drop the line that was added in: 5044996 layer.conf: add dl layer to LAYERRECOMMENDS Signed-off-by: Randy MacLeod <Randy.MacLeod@windriver.com>
2023-06-25conf/layer.conf: add mickledore to layers compatHongxu Jia
Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>
2023-05-30add kirkstone to layers compatHongxu Jia
Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>
2023-03-21layer.conf: make recipe tensorflow/tensorflow-lite not be built for multilibHongxu Jia
For arm64 bsp, run 'bitbake lib32-tensorflow lib32-tensorflow-lite' caused mutilple compile failures, it does not make sense to build lib32-tensorflow, make recipe tensorflow not be built for multilib Signed-off-by: Hongxu Jia <hongxu.jia@eng.windriver.com>
2022-11-10layer.conf: update LAYERSERIES_COMPAT with langdaleKai Kang
Signed-off-by: Kai Kang <kai.kang@windriver.com>
2022-05-04layer.conf: update LAYERSERIES_COMPAT with kirkstoneKai Kang
Issue: LINUXEXEC-18920 This commit is generated by autorebase automatically. (LOCAL REV: NOT UPSTREAM) -- will send to upstream Signed-off-by: Kai Kang <kai.kang@windriver.com>
2022-05-04layer.conf: add dl layer to LAYERRECOMMENDSHongxu Jia
Issue:LINUXEXEC-6765 This is a Wind River specific patch. (LOCAL REV: NOT UPSTREAM) -- Wind River Specific Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com> Rebased on 20220427 to use 4.1 download layer. Signed-off-by: Kai Kang <kai.kang@windriver.com>
2021-09-01layer.conf: compatible with honisterHongxu Jia
Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>
2021-05-21layer.conf: update LAYERSERIES_COMPAT with hardknottChen Qi
This commit is generated by autorebase automatically. Signed-off-by: Chen Qi <Qi.Chen@windriver.com>
2020-12-15layer.conf: Add hardknott to compatible release seriesHongxu Jia
Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>
2020-05-26layer.conf: Add gatesgarth to compatible release seriesHongxu Jia
Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>
2020-04-08drop meta-python2 layerHongxu Jia
Since convert python2 to python3, do not need to depend on meta-python2 Revert "layer.conf: depend on meta-python2" This reverts commit af3f5917ebd83754b69b2b7f02af0718b7a6950b. Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>
2020-04-08layer.conf: depend on meta-python2Chen Qi
bazel-native needs python2-native, so depend on meta-python2. Also update the README file. Signed-off-by: Chen Qi <Qi.Chen@windriver.com>
2020-01-06layer.conf: Add zeus to compatible release seriesHongxu Jia
Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>
2019-08-09use pre-build openjdk-8-native 212b04 to replace meta-javaHongxu Jia
The openjdk-8-native 212b04 is a pre-build binary from ojdkbuild which is a community build using source code from OpenJDK project. [https://github.com/ojdkbuild/ojdkbuild] The reason to use it rather than build from source by meta-java: - The meta-java introduce extra 38 depend recipes to openjdk-8-native, without meta-java could save build time 20%, and will not be broke by meta-java build failure - Only use openjdk-8-native to build bazel-native, and then use bazel-native to build others, any target recipes/packages does not require openjdk-8-native directly The pre-build binary only supports on x86-64, for other hosts, we could add use the one provided by meta-java. What you do is just add layer meta-java to your build. The idea refers meta-renesas-ai: https://github.com/renesas-rz/meta-renesas-ai/blob/master/meta-tensorflow/recipes-devtools/openjdk/openjdk-8-native_151-1.b12.bb Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>
2019-08-09layer.conf: Add warrior to compatible release seriesHongxu Jia
Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>
2019-08-09initialHongxu Jia
Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>