261ea19c4d
This build includes the GPU-specific code (EGL, GLES) The armhf_sysroot should be generic enough to support other ARM targets, like the Raspberry Pi. I split out the EGL dependencies into their own CIPD package (chromebook_c100p_lib) to facilitate the modularity of the approach. When we add another ARM chromebook, maybe one that has different libraries, we should be able to re-use armhf_sysroot and then a newly created CIPD asset for that specific GPU (if needed). Maybe this also can be used to build for the chromecasts (thus the TODO) Bug: skia: NOTRY=true Change-Id: Icc131025932dc8d41da5be39f3c5cad0aa95d848 Reviewed-on: https://skia-review.googlesource.com/11064 Commit-Queue: Kevin Lubick <kjlubick@google.com> Reviewed-by: Eric Boren <borenet@google.com> |
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| .. | ||
| common.py | ||
| create_and_upload.py | ||
| create.py | ||
| download.py | ||
| README.md | ||
| upload.py | ||
| VERSION | ||
This asset is the necessary includes and libs to compile/link the gpu code for the ASUS Flip c100p chromebook. The mali gpu supports EGL and GLES.
Zip up the /usr/lib folder on the Asus C100p Chromebook. Extract it somewhere on the dev machine and use that folder as the input to create_and_upload:
./infra/bots/assets/chromebook_c100p_lib/create_and_upload.py --lib_path [dir]
This script installs the following GL packages and then bundles them with the unzipped libs:
libgles2-mesa-dev libegl1-mesa-dev