TFX Basic Shared Libraries 1.17.1

Major Features and Improvements

• N/A

Bug Fixes and Other Changes

• Depends on apache-beam[gcp]>=2.50,<2.51 for Python 3.9 and 3.10.

Breaking Changes

• N/A

Deprecations

• N/A

TFX Basic Shared Libraries 1.17.0

Major Features and Improvements

• N/A

Bug Fixes and Other Changes

• Depends on protobuf>=4.25.2,<5 for Python 3.11 and on
  protobuf>=4.21.6,<6.0.0 for 3.9 and 3.10.
• Bumped the minimum bazel version required to build tfx_bsl to 6.5.0.
• Updating ZetaSQL to v2024.11.1 and related dependencies.
• Update GCC version to gcc-10 and the build configuration (.bazelrc,
  .bazelversion)
• macOS wheel publishing is temporarily paused due to missing ARM64 support.

Breaking Changes

• N/A

Deprecations

• N/A

TFX Basic Shared Libraries 1.16.1

Version 1.16.1

Major Features and Improvements

• N/A

Bug Fixes and Other Changes

• Relax dependency on Protobuf to include version 5.x

Breaking Changes

• N/A

Deprecations

• N/A

TFX Basic Shared Libraries 1.16.0

Version 1.16.0

Major Features and Improvements

• N/A

Bug Fixes and Other Changes

• Depends on tensorflow 2.16

Breaking Changes

• N/A

Deprecations

• N/A

TFX Basic Shared Libraries 1.15.1

Major Features and Improvements

• N/A

Bug Fixes and Other Changes

• Bumped the mininum bazel version required to build tfx_bsl to 6.1.0.
• Bump the macOS version on which TFX-BSL is tested to Ventura (previously was
  Monterey).
• Bumps the pybind11 version to 2.11.1
• Depends on tensorflow 2.15
• Depends on apache-beam[gcp]>=2.53.0,<3 for Python 3.11 and on
  apache-beam[gcp]>=2.47.0,<3 for 3.9 and 3.10.
• Depends on protobuf>=4.25.2,<5 for Python 3.11 and on protobuf>3.20.3,<5
  for 3.9 and 3.10.
• Deprecated Windows support.

Breaking Changes

• N/A

Deprecations

• Deprecated python 3.8 support.

TFX Basic Shared Libraries 1.15.0

Major Features and Improvements

• N/A

Bug Fixes and Other Changes

• Bumped the mininum bazel version required to build tfx_bsl to 6.1.0.
• Bump the macOS version on which TFX-BSL is tested to Ventura (previously was
  Monterey).
• Bumps the pybind11 version to 2.11.1
• Depends on tensorflow~=2.15
• Depends on apache-beam[gcp]>=2.53.0,<3 for Python 3.11 and on
  apache-beam[gcp]>=2.47.0,<3 for 3.9 and 3.10.
• Depends on protobuf>=4.25.2,<5 for Python 3.11 and on protobuf>3.20.3,<5
  for 3.9 and 3.10.
• Deprecated Windows support.

Breaking Changes

• N/A

Deprecations

• Deprecated python 3.8 support.

TFX Basic Shared Libraries 1.14.0

Major Features and Improvements

• N/A

Bug Fixes and Other Changes

• Bumped the Ubuntu version on which TFX-BSL is tested to 20.04 (previously
  16.04).
• Adds order_on_tie parameter to MisraGriesSketch to specify the order
  of items in case their counts are tied.
• Use @platforms instead of @bazel_tools//platforms to specify constraints in
  OSS build.
• Depends on pyarrow>=10,<11.
• Depends on apache-beam>=2.47,<3.
• Depends on numpy>=1.22.0.
• Depends on tensorflow>=2.13,<3

Breaking Changes

• N/A

Deprecations

• N/A

TFX Basic Shared Libraries 1.13.0

Major Features and Improvements

• RaggedTensors can now be automatically inferred for variable length
  features by setting represent_variable_length_as_ragged=true in TFMD
  schema.

Bug Fixes and Other Changes

• Bumped the mininum bazel version required to build tfx_bsl to 5.3.0.
• RecordBatchToExamplesEncoder now encodes arrays representing
  RaggedTensors in a way that is consistent with tf.io.parse_example. Note
  that this change is backwards compatible with ExamplesToRecordBatchDecoder
  and the decoding workflow as well.
• Depends on numpy~=1.22.0.

Breaking Changes

• N/A

Deprecations

• Deprecated python 3.7 support.

TFX Basic Shared Libraries 1.12.0

Major Features and Improvements

• InferTensorRepresentationsFromSchema, TensorAdapter and
  TensorsToRecordBatchConverter now support SparseTensors with unknown
  dense_shape.

Bug Fixes and Other Changes

• Depends on tensorflow>=2.11,<3

Breaking Changes

• N/A

Deprecations

• N/A

TFX Basic Shared Libraries 1.11.0

Major Features and Improvements

• TensorAdapter now processes tf.RaggedTensors in TF 2 ~10x faster.

• InferTensorRepresentationsFromSchema now infers RaggedTensors for
  STRUCT features.

• TFSequenceExampleRecord now supports schemas with features not covered or
  partially covered by TensorRepresentations.

• This is the last version that supports TensorFlow 1.15.x. TF 1.15.x support
  will be removed in the next version. Please check the
  TF2 migration guide to migrate
  to TF2.

Bug Fixes and Other Changes

• Depends on tensorflow>=1.15.5,<2 or tensorflow>=2.10,<3
• Depends on protobuf>=3.13,<4
• Various TFXIO implementations now infer TensorRepresentations for
  provided schema Features even if some TensorRepresentations are provided
  as well.

Breaking Changes

• N/A

Deprecations

• N/A