Fix base image aug layer for non-TF backend in tf.data pipeline.
#2281
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sampathweb
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mattdangerw,
tirthasheshpatel and
divyashreepathihalli
divyashreepathihalli
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Jan 8, 2024
divyashreepathihalli
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* Update base image aug layer tensor conversion (#2281) * Update version to 0.8.1 (#2282) * Fix YOLOv8Detector deserialization (#2283) * Fix YOLOv8Detector deserialization * Fix nit * Deserialize preditction decoder * Bump the python group with 4 updates (#2277) Bumps the python group with 4 updates: [tf-nightly-cpu](https://github.com/tensorflow/tensorflow), torch, torchvision and [tf-nightly[and-cuda]](https://github.com/tensorflow/tensorflow). Updates `tf-nightly-cpu` from 2.16.0.dev20231221 to 2.16.0.dev20240104 - [Release notes](https://github.com/tensorflow/tensorflow/releases) - [Changelog](https://github.com/tensorflow/tensorflow/blob/master/RELEASE.md) - [Commits](https://github.com/tensorflow/tensorflow/commits) Updates `torch` from 2.1.2 to 2.1.2+cu121 Updates `torchvision` from 0.16.2 to 0.16.2+cu121 Updates `tf-nightly[and-cuda]` from 2.16.0.dev20231221 to 2.16.0.dev20240104 - [Release notes](https://github.com/tensorflow/tensorflow/releases) - [Changelog](https://github.com/tensorflow/tensorflow/blob/master/RELEASE.md) - [Commits](https://github.com/tensorflow/tensorflow/commits) --- updated-dependencies: - dependency-name: tf-nightly-cpu dependency-type: direct:production update-type: version-update:semver-patch dependency-group: python - dependency-name: torch dependency-type: direct:production update-type: version-update:semver-patch dependency-group: python - dependency-name: torchvision dependency-type: direct:production update-type: version-update:semver-patch dependency-group: python - dependency-name: tf-nightly[and-cuda] dependency-type: direct:production update-type: version-update:semver-patch dependency-group: python ... Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * Add Scorecard Action (#2267) Signed-off-by: Pedro Kaj Kjellerup Nacht <pnacht@google.com> * version bump to 0.8.1.dev0 --------- Signed-off-by: dependabot[bot] <support@github.com> Signed-off-by: Pedro Kaj Kjellerup Nacht <pnacht@google.com> Co-authored-by: Ramesh Sampath <1437573+sampathweb@users.noreply.github.com> Co-authored-by: Neel Kovelamudi <60985914+nkovela1@users.noreply.github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Pedro Kaj Kjellerup Nacht <pnacht@google.com> Co-authored-by: Divyashree Sreepathihalli <divyashreepathihalli>
yuvraj-wale
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When we have Image Aug Layers in JAX or Torch backend used in
tf.datapipeline, theops.convert_to_tensorbreaks since it cannot convert a TF Symbolic tensor in the graph. This fix only does the conversion when its not part of a TF graph. Also, the conversion steps are skipped for TF backend since its not necessary.Added unit test to verfy the failing under
tf.datapipeline.