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⬆️ TensorFlow 2.9 #724

Merged
merged 11 commits into from
May 19, 2022
Merged

⬆️ TensorFlow 2.9 #724

merged 11 commits into from
May 19, 2022

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lgeiger
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@lgeiger lgeiger commented Apr 8, 2022

What do these changes do?

This PR updates TensorFlow to version 2.9.0.

How Has This Been Tested?

CI and triggered a test release.

Benchmark Results

TODO

@lgeiger lgeiger added the feature New feature or request label Apr 8, 2022
@lgeiger lgeiger requested a review from a team April 8, 2022 16:43
Base automatically changed from tf-28-pull-upstream to tf-28 April 8, 2022 18:33
@lgeiger lgeiger force-pushed the tf-29 branch 2 times, most recently from 6dc02ff to 9e94da6 Compare April 12, 2022 15:05
Base automatically changed from tf-28 to main April 19, 2022 16:08
@lgeiger lgeiger marked this pull request as ready for review May 17, 2022 10:24
larq_compute_engine/mlir/transforms/passes.h Outdated Show resolved Hide resolved
Co-authored-by: Cedric Nugteren <web@cedricnugteren.nl>
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Tombana commented May 19, 2022

I compared the benchmark binaries produced by CI (through bazel, not cmake) from the TF2.8 release with the TF2.9 test-release from this PR. I used a Raspberry Pi 4B at 1.5 GHz with QuickNet from larq-zoo in float. It uses XNNPack for the non-binary layers. For single-threaded benchmarks I found 46.4 ms for both builds, and for 4-threaded benchmarks I found 21.7 ms in both cases. I conclude that the benchmark results did not change with this TF 2.9 upgrade.

@Tombana Tombana merged commit 94b62f6 into main May 19, 2022
@Tombana Tombana deleted the tf-29 branch May 19, 2022 14:03
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3 participants