Releases: tensorflow/tfx-bsl
Releases · tensorflow/tfx-bsl
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 onprotobuf>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 onprotobuf>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 toMisraGriesSketch
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
RaggedTensor
s can now be automatically inferred for variable length
features by settingrepresent_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 withtf.io.parse_example
. Note
that this change is backwards compatible withExamplesToRecordBatchDecoder
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 supportSparseTensor
s 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 processestf.RaggedTensor
s in TF 2 ~10x faster. -
InferTensorRepresentationsFromSchema
now infersRaggedTensor
s for
STRUCT
features. -
TFSequenceExampleRecord
now supports schemas with features not covered or
partially covered byTensorRepresentation
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 to migrate
to TF2.
Bug Fixes and Other Changes
- Depends on
tensorflow>=1.15.5,<2
ortensorflow>=2.10,<3
- Depends on
protobuf>=3.13,<4
- Various
TFXIO
implementations now inferTensorRepresentations
for
provided schemaFeatures
even if someTensorRepresentations
are provided
as well.
Breaking Changes
- N/A
Deprecations
- N/A
TFX Basic Shared Libraries 1.10.1
Major Features and Improvements
- N/A
Bug Fixes and Other Changes
- N/A
Breaking Changes
- N/A
Deprecations
- N/A
TFX Basic Shared Libraries 1.10.0
Major Features and Improvements
ExamplesToRecordBatchDecoder
is now picklable.ParquetTFXIO
can now be used asRecordBasedTFXIO
.- Introduces
CreateTfSequenceExampleParserConfig
that takes TFMD schema as
input and produces configs fortf.SequenceExample
parsing. TFSequenceExampleRecord
can now produce an equivalent tf.data.Dataset.- Introduces an api:
CreateModelHandler
that produces a model handler
suitable for apache_beam.ml.inference. - Quantiles sketch supports GetQuantilesAndCumulativeWeights, which returns
the sum of weights in each quantiles bin along with boundaries.
Bug Fixes and Other Changes
- Depends on
apache-beam[gcp]>=2.40,<3
. - Depends on
pyarrow>=6,<7
. - Depends on
tensorflow-metadata>=1.10,<1.11
. - Depends on
tensorflow>=1.15.5,<2
ortensorflow>=2.9,<3
.
Breaking Changes
- GenerateQuantiles removed from weighted_quantiles_summary.h and replaced
with GenerateQuantilesAndCumulativeWeights.
Deprecations
- N/A