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chromium / chromiumos / platform / tflite / refs/heads/stabilize-starline-16261.5.B
commit7086dbad48676fc1512261e79bf22a21d1e22597[log] [tgz]
authorTommy Chiang <ototot@chromium.org>Tue Apr 08 20:55:08 2025
committerChromeos LUCI <chromeos-scoped@luci-project-accounts.iam.gserviceaccount.com>Mon Apr 21 10:30:16 2025
tree06736f49f4ea2dcef9d6e788092f9fd35edbc37a
parentf577f5bb0beb1993e782e2a29a1f3accde5b1903 [diff]
tflite: mtk_neuron: Add PrepareSyncDriver helper in neuron_delegate_test

This CL extract the logic of preparing SyncDriver, making the code looks
cleaner. This CL is expected to be no functional changes.

BUG=b:374245241
TEST=neuron_delegate_test on navi

Change-Id: Ia4b19b5f3a646ccb9fe0bf7f689dcfc64badcd64
Reviewed-on: https://chromium-review.googlesource.com/c/chromiumos/platform/tflite/+/6437796
Reviewed-by: Shik Chen <shik@chromium.org>
Tested-by: Tommy Chiang <ototot@google.com>
Commit-Queue: Tommy Chiang <ototot@google.com>
1 file changed
tree: 06736f49f4ea2dcef9d6e788092f9fd35edbc37a
  1. android/
  2. common/
  3. delegate/
  4. patch/
  5. script/
  6. tool/
  7. udev/
  8. .bazelignore
  9. .bazelrc
  10. .bazelversion
  11. .clang-format
  12. .gitignore
  13. BUILD.bazel
  14. CPPLINT.cfg
  15. DIR_METADATA
  16. OWNERS
  17. PRESUBMIT.cfg
  18. README.md
  19. WORKSPACE.bazel
README.md

ChromeOS TFLite

This repository hosts the core ChromeOS TFLite components, enabling on-device machine learning (ODML) workloads accelerated by NPU.

The corresponding ebuild can be found at: tensorflow-9999.ebuild

TensorFlow Patch Management

Patches are stored in the patch/ directory and explicitly listed in WORKSPACE.bazel. A helper script, ./script/patcher.py, is included to facilitate patch management within a TFLite workspace.

The typical workflow:

  1. Eject (Download) TensorFlow Source Code

    Download the TensorFlow source code into a local git repository with patches applied as individual commits:

    ./script/patcher.py eject

    This creates a new local git repository at tensorflow/.

  2. Modify the TensorFlow Repository

    Make changes to the tensorflow/ repository as needed, following standard git workflows. Optionally, include a PATCH_NAME= tag in commit messages to specify the filename of the corresponding patch.

  3. Seal the Repository

    Regenerate the patch files and update the WORKSPACE.bazel file:

    ./script/patcher.py seal

    This updates the patches in the patch/ directory and reflects the changes in WORKSPACE.bazel.

It's preferred to submit changes to upstream TensorFlow first and cherry-pick them as patches. This helps minimize divergence and makes TensorFlow updates easier.