libvpl-2.14.0-160000.2.2

- Update to version 2.14.0:
  + Added:
  - Intel® VPL API 2.14 support, including new quality and speed
    settings for AI based video frame interpolation, new
    algorithm and mode selection options for AI based super
    resolution, and HEVC level 8.5 decode support.
  - Improved support for Python 3.12 development environments.
  + Fixed: Bootstrap to support Debian distributions that do not
    define ID_LIKE.
- Update URL and source to new home.

- Update to version 2.13.0:
  + Added:
  - Intel® VPL API 2.13 support, including new APIs for AV1
    screen content tools, encoded picture quality information,
    alpha channel encoding, AI-based frame interpolation,
    AI-based super resolution, and Battlemage platform
  - hello-encode-jpeg example
- Changes from version 2.12.0:
  + Added: Intel® VPL API 2.12 support, including new APIs for
    AI-based frame interpolation and Vulkan zero-copy surface
    sharing.

- Update to version 2.11.0
  + Added: Intel® VPL API 2.11 support
  + Removed: Command line tools. They have been moved to a separate
    repository (https://github.com/intel/libvpl-tools)
- Drop samples sub-package as the tools have been removed upstream
- Drop u_buildfix-i586.patch, no longer needed nor applies after
  removal of tools
- Use ldconfig_scriptlets macro for post(un) handling.

- Re-enable build on aarch64

- u_buildfix-i586.patch
  * fixed build on i586

- Update to version 2.10.1
  + Changed
  * Project name to Intel® Video Processing Library (Intel® VPL)
  * Project versioning scheme to align with library and API
    version
  + Added
  * Intel® VPL specification and associated build scripts
  + Known Issues
  * sample_decode may report "DeliverOutput return error = -1"
    when run using -r option
  * vpl-infer example will fail to load model if built with CMake
    version higher than 3.25.3 on Windows
- Add libva build dep

- This includes latest version of one of the components needed for
  Video (processing) hardware support on Intel GPUs (bsc#1217770)

- Update to version 2023.4.0
  * Added
    + oneVPL API 2.10 support
    + New command line parameters to sample_multi_transcode for setting
    B Frame QP Offsets based on Pyramid Level
    + New command line parameters to the sample_vpp tool to enable video
    signal information
    + New APIs for importing and exporting shared surfaces
    + New APIs for string-based parameter configuration
  * Removed
    + Environment module support
    + Unused files and folders
  * Fixed
    + NV12 wayland render for MTL
    + Buffer starvation when wayland window is moved
    + Missing profile strings in vpl-inspect tool
    + Rdrm to use card node instead of render node
    + Rdrm tile4 selection based DRM/KMS query
    + Rdrm NV12 and P010 render for MTL
  * Changed
    + Directory layout and name of dispatcher directory
    + Location of image files used by documentation
    + Runtime library search path to remove current directory

- only build %ix86 for Tumbleweed; otherwise just build it for
  x86_64 (bsc#1217662)

- Update to version 2023.2.0
  * Added
    + oneVPL API 2.9 support
    + Perceptual encoding prefilter option to
    sample_multi_transcode
  * Fixed
    + VPP processing for YUV input
    + Sample_multi_transcode segfault on wayland
    + Missing prerequisites in vpl-infer README
  * Changed
    + vpl-infer Dockerfile and Linux setup steps to better align
    with https://dgpu-docs.intel.com/
  * Removed
    + dpcpp-blur example
- Drop upstreamed fix_arm_ilp32.patch