Tfx-bsl

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

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.

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

Major Features and Improvements

* `RaggedTensor`s 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
`RaggedTensor`s 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.
* Added utility functions for interacting with Arrow arrays and record
batches.
* Depends on `numpy~=1.22.0`.

Breaking Changes

* N/A

Deprecations

* Deprecated python 3.7 support.

Major Features and Improvements

* `InferTensorRepresentationsFromSchema`, `TensorAdapter` and
`TensorsToRecordBatchConverter` now support `SparseTensor`s with unknown
`dense_shape`.

Bug Fixes and Other Changes

* Depends on `tensorflow>=2.11,<3`

Breaking Changes

* N/A

Deprecations

* N/A

Major Features and Improvements

* `TensorAdapter` now processes `tf.RaggedTensor`s in TF 2 ~10x faster.
* `InferTensorRepresentationsFromSchema` now infers `RaggedTensor`s for
`STRUCT` features.
* `TFSequenceExampleRecord` now supports schemas with features not covered or
partially covered by `TensorRepresentation`s.

* 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](https://www.tensorflow.org/guide/migrate) 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