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TFX Basic Shared Libraries 0.25.0
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@jay90099 jay90099 released this 03 Nov 23:04
v0.25.0
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Major Features and Improvements

  • Add RecordBatches interface to TFXIO. This interface returns an iterable
    of record batches, which can be used outside of Apache Beam or TensorFlow to
    access data.

  • From this release TFX-BSL will also be hosting nightly packages on
    https://pypi-nightly.tensorflow.org. To install the nightly package use the
    following command:

    pip install -i https://pypi-nightly.tensorflow.org/simple tfx-bsl

    Note: These nightly packages are unstable and breakages are likely to
    happen. The fix could often take a week or more depending on the complexity
    involved for the wheels to be available on the PyPI cloud service. You can
    always use the stable version of TFX-BSL available on PyPI by running the
    command pip install tfx-bsl .

Bug Fixes and Other Changes

  • TensorToArrow returns LargeListArray/LargeBinaryArray in place of
    ListArray/BinaryArray.
  • array_util.IndexIn now supports LargeBinaryArray inputs.
  • Depends on apache-beam[gcp]>=2.25,<3.
  • Depends on tensorflow-metadata>=0.25,<0.26.

Breaking changes

  • Coders (Example, CSV) do not support outputting ListArray/BinaryArray any
    more. They can only output LargeListArray/LargeBinaryArray.

Deprecations

  • N/A
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