TFX Basic Shared Libraries 1.0.0

Major Features and Improvements

• N/A

Bug Fixes and Other Changes

• Depends on apache-beam[gcp]>=2.29,<3.
• Depends on tensorflow>=1.15.2,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,<3.
• Depends on
  tensorflow-serving-api>=1.15,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,<3.
• Depends on tensorflow-metadata>=1.0,<1.1.

Breaking Changes

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Deprecations

• N/A

TFX Basic Shared Libraries 0.30.0

Major Features and Improvements

• Misra-Gries sketch: added support for replacing large string blobs with
  a configurable placeholder, and replacing invalid utf-8 sequences with
  a configurable placeholder.

Bug Fixes and Other Changes

• Depends on tensorflow-metadata>=0.30,<0.31.

Breaking Changes

• Removed tfx_bsl.beam.shared. It is now available in Apache Beam.
  Use apache_beam.utils.shared instead.

Deprecations

• N/A

TFX Basic Shared Libraries 0.29.0

Major Features and Improvements

• Add RawRecordTensorFlowDataset interface to record based tfxios.
• TensorToArrowConverter now can handle generic SparseTensors (>=3-d).
• Added RecordToTensorTFXIO.DecodeFunction() to get the decoder as a TF
  function.

Bug Fixes and Other Changes

• Depends on absl-py>=0.9,<0.13.
• Depends on tensorflow-metadata>=0.29,<0.30.
• Bumped the mininum bazel version required to build tfx_bsl to 3.7.2.

Breaking Changes

• N/A

Deprecations

• N/A

TFX Basic Shared Libraries 0.28.1

Version 0.28.1

Major Features and Improvements

• N/A

Bug Fixes and Other Changes

• Depends on apache-beam[gcp]>=2.28,<3.

Breaking Changes

• N/A

Deprecations

• N/A

TFX Basic Shared Libraries 0.28.0

Major Features and Improvements

• RunInference can now be applied on serialized tf.train.{Example,
  SequenceExample} for all methods as well as any other kind of serialized
  structure for the Predict method.
• RunInference can now operate on PCollection[K, V] in a key-forwarding mode
  (whereby the key is left unchanged while inference is performed on the
  value).
• RunInference is now more performant.

Bug Fixes and Other Changes

• Depends on numpy>=1.16,<1.20.
• Depends on tensorflow-metadata>=0.28,<0.29.

Breaking Changes

• N/A

Deprecations

• N/A

TFX Basic Shared Libraries 0.27.1

Major Features and Improvements

• N/A

Bug Fixes and Other Changes

• Fix in the tensorflow-serving-api version constraint.

Breaking changes

• N/A

Deprecations

• N/A

TFX Basic Shared Libraries 0.27.0

Major Features and Improvements

• tfx_bsl.public.tfxio.TFGraphRecordDecoder is now a public API.

Bug Fixes and Other Changes

• Depends on apache-beam[gcp]>=2.27,<3.
• Depends on pyarrow>=1,<3.
• Depends on tensorflow>=1.15.2,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,<3.
• Depends on tensorflow-metadata>=0.27,<0.28.
• Depends on tensorflow-serving>=1.15,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,<3.

Breaking changes

• N/A

Deprecations

• N/A

TFX Basic Shared Libraries 0.26.1

Major Features and Improvements

• N/A

Bug Fixes and Other Changes

• Depends on apache-beam[gcp]>=2.25,!=2.26.*,<3.
• Depends on tensorflow>=1.15.2,!=2.0.*,!=2.1.*,!=2.2.*,!=2.4.*,<3.
• Depends on tensorflow-serving>=1.15,!=2.0.*,!=2.1.*,!=2.2.*,!=2.4.*,<3.

Breaking changes

• N/A

Deprecations

• N/A

TFX Basic Shared Libraries 0.26.0

Major Features and Improvements

• .TensorFlowDataset interface is available in RawTfRecord TFXIO.

Bug Fixes and Other Changes

• Fix TFExampleRecord TFXIO's TensorFlowDataset output key's to match the
  tensor representation's tensor name (Previously this assumed the user
  provided a tensor name that is the same as the feature name).
• Add utility in tensor_representation_util.py to get source columns from a
  tensor representation.
• Depends on tensorflow-metadata>=0.26,<0.27.

Breaking changes

• N/A

Deprecations

• N/A

TFX Basic Shared Libraries 0.25.0

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