This update for ComputeLibrary, armnn fixes the following issues:

ComputeLibrary was updated to 21.05:

  * Public major release
  * Documentation (API, changelogs, build guide,
    contribution guide, errata, etc.) available here:
    https://arm-software.github.io/ComputeLibrary/v21.05/

- Package separately libarm_compute_core and libarm_compute_graph

- Update to 21.02:
  * Public major release
  * Documentation (API, changelogs, build guide, 
    contribution guide, errata, etc.) available here:
    https://arm-software.github.io/ComputeLibrary/v21.02/

- Update to 20.11:
  * Public major release
  * Deprecation notice:
      Deprecated GLES functions and kernels
      Deprecated Neon and OpenCL Computer Vision functions
  * Documentation (API, changelogs, build guide,
    contribution guide, errata, etc.) available here:
    https://arm-software.github.io/ComputeLibrary/v20.11/

- Update to 20.08:
  * Public major release
  * Documentation (API, changelogs, build guide, 
    contribution guide, errata, etc.) available here:
    https://arm-software.github.io/ComputeLibrary/v20.08/

- Update to 20.05:
  * Public major release
  * Documentation (API, changelogs, build guide, 
    contribution guide, errata, etc.) available here:
    https://arm-software.github.io/ComputeLibrary/v20.05/

- Fix libarmnnOnnxParser version

- Update to 21.05:
  * Changelog: https://github.com/ARM-software/armnn/releases/tag/v21.05
  * Main changes: 
    - new capabilities to allow users attain higher performance by:
      * Making the Arm NN Core thread safe opening the possibility of
      running multiple inferences on the same model in parallel
      software threads.
      * Allowing graphs on the GPU backend import their input and
      output buffers either from correctly aligned main memory or
      from kernel memory exposed as a dma_buf, thus reducing memory
      usage and saving the time involved in copying data into and
      out of the GPU memory space.
    - In addition to this, support was added to allow the MobileBERT
    network to be parsed and run.
    - Finally three deprecated components: the Tensorflow Parser,
    the Caffe Parser and the Arm NN Quantizer tool, were removed
- Disable armnn-extratests as it fails to build with current version

- Update to 21.02:
  * Changelog: https://github.com/ARM-software/armnn/releases/tag/v21.02

- Update to 20.11:
  * Changelog: https://github.com/ARM-software/armnn/releases/tag/v20.11

- Add python support, disabled for now as it does not install
  files atm

- Package libtimelineDecoderJson

- Update to 20.08:
  * Changelog: https://github.com/ARM-software/armnn/releases/tag/v20.08
- Disable ONNX on Tumbleweed since there is a compatibility issue
  with ONNX 1.7.0, see: https://github.com/ARM-software/armnn/issues/419

- Build only where ComputeLibrary is built: 
  aarch64 armv7 and x86_64

- Update to 20.05:
  * Changelog: https://github.com/ARM-software/armnn/releases/tag/v20.05
- Package new libtimelineDecode and libarmnnBasePipeServer

- Apply boost link fixes only for armnn_extra_tests
- Apply patches for armnn_extra_tests only when 
  armnn_extra_tests is built