TFX Basic Shared Libraries 0.24.1

Major Features and Improvements

• N/A

Bug Fixes and Other Changes

• Depends on apache-beam[gcp]>=2.24,<3.

Breaking changes

• N/A

Deprecations

• N/A

TFX Basic Shared Libraries 0.24.0

Major Features and Improvements

• You can now build tfx_bsl wheel with python setup.py bdist_wheel. Note:
  • If you want to build a manylinux2010 wheel you'll still need to use
    Docker.
  • Bazel is still required.
• You can now build manylinux2010 tfx_bsl wheel for Python 3.8.
• From this version we will be releasing python 3.8 wheels.

Bug Fixes and Other Changes

• Stopped depending on six.
• Depends on absl-py>=0.9,<0.11.
• Depends on pandas>=1.0,<2.
• Depends on protobuf>=3.9.2,<4.
• Depends on tensorflow-metadata>=0.24,<0.25.

Breaking changes

• N/A

Deprecations

• Deprecated py3.5 support.

Release 0.23.0

Major Features and Improvements

• Several TFXIO symbols are made public, which means:
• TFX users (both pipeline and component authors), and TFX libraries
  (TFDV, TFMA, TFT) users may start using these symbols.
• We will be subject to semantic versioning once tfx_bsl goes beyond 1.0.
• TFRecord based TFXIO implementations now support reading from multiple file
  patterns.
• Implemented the TensorFlowDataset() interface for TFExampleRecord TFXIO.
• Starting from this version, tfx_bsl has no binary dependency on pyarrow
  (libarrow.so). As a result:
  • Package tfx_bsl will be able to work with a wider range of pyarrow
    versions. We will relax the version requirements in setup.py in the next
    release.
  • Custom built tfx_bsl does not have to maintain ABI compatiblity with
    a specific pyarrow installation. Custom builds don't need to be
    manylinux-conformant.

Bug Fixes and Other Changes

• Starting from this version, the windows wheel will be built with VS 2015.
• run_all_tests will fail with exit code -2 if no tests are discovered.
• Stopped requiring avro-python3.
• Example coders will ignore duplicate feature names in the TFMD schema (only
  the first one counts). It is a temporary measure until TFDV can check and
  prevent duplications. DO NOT rely on this behavior.
• CsvTFXIO now allows skipping CSV headers (set skip_header_lines).
• CsvTFXIO now requires telemetry_descriptors to construct.
• Depends on apache-beam[gcp]>=2.23,<3.
• Depends on pyarrow>=0.17,<0.18.
• Depends on tensorflow>=1.15.2,!=2.0.*,!=2.1.*,!=2.2.*,<3.
• Depends on tensorflow-metadata>=0.23,<0.24.
• Depends on tensorflow-serving-api>=1.15,!=2.0.*,!=2.1.*,!=2.2.*,<3.

Breaking changes

• N/A

Deprecations

• Dropped Python 2.x support.

TFX-BSL 0.22.1 Release

Major Features and Improvements

• Added SequenceExamplesToRecordBatchDecoder.
• Added a TFXIO implementation for SequenceExmaples on TFRecord.
• Added support for TensorAdapter to output tf.RaggedTensors.
• Improved performance of tf.Example and tf.SequenceExample coders.

Bug Fixes and Other Changes

• Depends on pandas>=0.24,<2.
• Depends on tensorflow>=1.15,!=2.0.*,<3.
• Depends on tensorflow-metadata>=0.22.2,<0.23.
• Removed tensor_to_arrow_test for TF 1.x as it does not support TF 1.x.

Breaking changes

Deprecations

• Removed arrow.table_util.SliceTableByRowIndices (in favor of
  RecordBatchTake)
• Removed arrow.table_util.MergeTables (in favor of MergeRecordBatches)

Version 0.22.0

Release 0.22.0

Major Features and Improvements

• Moved RunInference API and related protos to tfx_bsl/public directory.
• CSV coder support for multivalent columns.
• tf.Exmaple coder support for producing large types (LargeList, LargeBinary).

Bug Fixes and Other Changes

• Depends on apache-beam[gcp]>=2.20,<3.
• Depends on pyarrow>=0.16,<0.17
• Depends on tensorflow-metadata>=0.22,<0.23

Breaking Changes

• Renamed ModelEndpointSpec to AIPlatformPredictionModelSpec to specify remote
  model endpoint on Google Cloud Platform.
• Renamed InferenceEndpoint to InferenceSpecType.

Deprecations

Release 0.21.4

Release 0.21.4

Major Features and Improvements

• Added a tfxio.telemetry.ProfileRecordBatches, a PTransform to collect
  telemetry from Arrow RecordBatches.
• Added remote model inference on Google Cloud Platform.

Bug Fixes and Other Changes

• Requires apache-beam>=2.17,<3
• Only requires avro-python3>=1.8.1,!=1.9.2.*,<2.0.0 on Python 3.5 + MacOS
• Requires google-api-python-client>=1.7.11,<2

Breaking Changes

Deprecations

Release 0.21.3

Release 0.21.3

Major Features and Improvements

Bug Fixes and Other Changes

• Requires apache-beam>=2.17,<2.18

Breaking Changes

Deprecations

Release 0.21.2

Release 0.21.2

Major Features and Improvements

Bug Fixes and Other Changes

• Fixed a bug in tfx_bsl.arrow.array_util.GetFlattenedArrayParentIndices that
  could cause memory corruption.

Breaking Changes

Deprecations

Release 0.21.1

Release 0.21.1

Major Features and Improvements

• Defined an abstract subclass of TFXIO, RecordBasedTFXIO to model record
  based file formats.

Bug Fixes and Other Changes

• Utilities in tfx_bsl.arrow.array_util that:

  • previously takes ListArray now can also accept LargeListArray.
  • previously takes StringArray/BinaryArray now can also accept
    LargeStringArray and LargeBinaryArray.

  As a result: GetElementLengths now returns an Int64Array.
  GetFlattenedArrayParentIndices may return an Int64Array or an
  Int32Array depending on the input type.

Breaking Changes

Deprecations

Release 0.21.0

Release 0.21.0

Major Features and Improvements

• Introduced TFXIO, the interface for
  Standardized TFX Inputs

• Added the first implementation of TFXIO, for tf.Example on TFRecords.

Bug Fixes and Other Changes

• Added a test_util sub-package that contains a tool to discover and run all
  the absltests in a dir (like python's unittest discovery).
• Requires apache-beam>=2.17,<3
• Requires pyarrow>=0.15,<0.16
• Requires tensorflow>=1.15,<3
• Requires tensorflow-metadata>=0.21,<0.22.

Breaking Changes

Deprecations