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Update 1.5.1 in version.py (#4851)
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README.md

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tfx | apache-beam[gcp] | ml-metadata | pyarrow | tensorflow | tensorflow-data-validation | tensorflow-metadata | tensorflow-model-analysis | tensorflow-serving-api | tensorflow-transform | tfx-bsl
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------------------------------------------------------------------------- | ---------------- | ----------- | ------- | ----------------- | -------------------------- | ------------------- | ------------------------- | ---------------------- | -------------------- | -------
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[GitHub master](https://github.com/tensorflow/tfx/blob/master/RELEASE.md) | 2.34.0 | 1.5.0 | 2.0.0 | nightly (1.x/2.x) | 1.5.0 | 1.5.0 | 0.36.0 | 2.7.0 | 1.5.0 | 1.5.0
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[GitHub master](https://github.com/tensorflow/tfx/blob/master/RELEASE.md) | 2.38.0 | 1.5.0 | 2.0.0 | nightly (1.x/2.x) | 1.5.0 | 1.5.0 | 0.36.0 | 2.7.0 | 1.5.0 | 1.5.0
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1.5.1 | 2.38.0 | 1.5.0 | 2.0.0 | 1.15.0 / 2.7.0 | 1.5.0 | 1.5.0 | 0.36.0 | 2.7.0 | 1.5.0 | 1.5.0
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1.5.0 | 2.34.0 | 1.5.0 | 2.0.0 | 1.15.0 / 2.7.0 | 1.5.0 | 1.5.0 | 0.36.0 | 2.7.0 | 1.5.0 | 1.5.0
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1.4.0 | 2.33.0 | 1.4.0 | 2.0.0 | 1.15.0 / 2.6.0 | 1.4.0 | 1.4.0 | 0.35.0 | 2.6.0 | 1.4.0 | 1.4.0
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1.3.3 | 2.32.0 | 1.3.0 | 2.0.0 | 1.15.0 / 2.6.0 | 1.3.0 | 1.2.0 | 0.34.1 | 2.6.0 | 1.3.0 | 1.3.0

RELEASE.md

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# Version 1.5.0
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# Version 1.5.1
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## Major Features and Improvements
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* Added support for partial pipeline run. Users can now run a subset of nodes
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in a pipeline while reusing artifacts generated in previous pipeline runs.
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This is supported in LocalDagRunner and BeamDagRunner, and is exposed via
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the TfxRunner API.
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* N/A
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## Breaking Changes
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* N/A
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## Bug Fixes and Other Changes
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* Increased docker timeout to 5 minutes for image building in CLI.
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* Fixed KeyError when multiple Examples artifacts were used in Transform
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without materialization.
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* Fixed error where Vertex Endpoints of the same name is not deduped
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* Depends on `apache-beam[gcp]>=2.34,<3`.
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* Depends on `tensorflow>=1.15.2,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,<2.8`.
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* Depends on `tensorflow-serving-api>=1.15,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,<3`.
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* Depends on `ml-metadata>=1.5.0,<1.6.0`.
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* Depends on `struct2tensor>=0.36.0,<0.37.0`.
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* Depends on `tensorflow-data-validation>=1.5.0,<1.6.0`.
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* Depends on `tensorflow-model-analysis>=0.36.0,<0.37.0`.
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* Depends on `tensorflow-transform>=1.5.0,<1.6.0`.
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* Depends on `tfx-bsl>=1.5.0,<1.6.0`.
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* Uses apache-beam==2.38 in the tfx container image.
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## Documentation Updates
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tfx/version.py

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"""Contains the version string of TFX."""
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# Note that setup.py uses this version.
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__version__ = '1.5.0'
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__version__ = '1.5.1'

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