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TFT 0.22.0 Release
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tf-transform-team authored and tf-transform-team committed May 13, 2020
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3 changes: 2 additions & 1 deletion README.md
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Expand Up @@ -61,7 +61,8 @@ other *untested* combinations may also work.

tensorflow-transform | tensorflow | apache-beam[gcp]
------------------------------------------------------------------------------- | ----------------- | ----------------
[GitHub master](https://github.com/tensorflow/transform/blob/master/RELEASE.md) | nightly (1.x/2.x) | 2.17.0
[GitHub master](https://github.com/tensorflow/transform/blob/master/RELEASE.md) | nightly (1.x/2.x) | 2.20.0
[0.22.0](https://github.com/tensorflow/transform/blob/v0.22.0/RELEASE.md) | 1.15 / 2.2 | 2.20.0
[0.21.2](https://github.com/tensorflow/transform/blob/v0.21.2/RELEASE.md) | 1.15 / 2.1 | 2.17.0
[0.21.0](https://github.com/tensorflow/transform/blob/v0.21.0/RELEASE.md) | 1.15 / 2.1 | 2.17.0
[0.15.0](https://github.com/tensorflow/transform/blob/v0.15.0/RELEASE.md) | 1.15 / 2.0 | 2.16.0
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8 changes: 6 additions & 2 deletions RELEASE.md
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<!-- mdformat off(mdformat causes unwanted indentation changes) -->

# Current version (not yet released; still in development)
# Version 0.22.0

## Major Features and Improvements

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single Beam combiner.
* Switch `tft.TransformFeaturesLayer` to use the TF 2 `tf.saved_model.load` API
to load a previously exported SavedModel.
* Depends on `avro-python3>=1.8.1,!=1.9.2.*,<2.0.0` for Python3.5 + MacOS.
* Adds `tft.sparse_tensor_left_align` as a utility which aligns
`tf.SparseTensor`s to the left.
* Depends on `avro-python3>=1.8.1,!=1.9.2.*,<2.0.0` for Python3.5 + MacOS.
* Depends on `apache-beam[gcp]>=2.20.0,<3`.
* Depends on `tensorflow>=1.15,!=2.0.*,<2.3`.
* Depends on `tensorflow-metadata>=0.22.0,<0.23.0`.
* Depends on `tfx-bsl>=0.22.0,<0.23.0`.

## Breaking changes
* `tft.AnalyzeDatasetWithCache` no longer accepts a flat pcollection as an
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3 changes: 2 additions & 1 deletion docs/install.md
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Expand Up @@ -58,7 +58,8 @@ other *untested* combinations may also work.

tensorflow-transform | tensorflow | apache-beam[gcp]
------------------------------------------------------------------------------- | ----------------- | ----------------
[GitHub master](https://github.com/tensorflow/transform/blob/master/RELEASE.md) | nightly (1.x/2.x) | 2.17.0
[GitHub master](https://github.com/tensorflow/transform/blob/master/RELEASE.md) | nightly (1.x/2.x) | 2.20.0
[0.22.0](https://github.com/tensorflow/transform/blob/v0.22.0/RELEASE.md) | 1.15 / 2.2 | 2.20.0
[0.21.2](https://github.com/tensorflow/transform/blob/v0.21.2/RELEASE.md) | 1.15 / 2.1 | 2.17.0
[0.21.0](https://github.com/tensorflow/transform/blob/v0.21.0/RELEASE.md) | 1.15 / 2.1 | 2.17.0
[0.15.0](https://github.com/tensorflow/transform/blob/v0.15.0/RELEASE.md) | 1.15 / 2.0 | 2.16.0
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8 changes: 4 additions & 4 deletions setup.py
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Expand Up @@ -32,15 +32,15 @@ def _make_required_install_packages():
# release. Remove once avro has a healthy release.
('avro-python3>=1.8.1,!=1.9.2.*,<2.0.0; '
'python_version=="3.5" and platform_system=="Darwin"'),
'apache-beam[gcp]>=2.17,<3',
'apache-beam[gcp]>=2.20,<3',
'numpy>=1.16,<2',
'protobuf>=3.7,<4',
'pydot>=1.2,<2',
'six>=1.12,<2',
'tensorflow-metadata>=0.21,<0.22',
'tensorflow>=1.15,<2.2',
'tensorflow-metadata>=0.22,<0.23',
'tensorflow>=1.15,!=2.0.*,<2.3',
# TODO(b/148082271): Revisit this dependency before releasing.
'tfx-bsl>=0.21.3,<0.23',
'tfx-bsl>=0.22,<0.23',
]

# Get the long description from the README file.
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2 changes: 1 addition & 1 deletion tensorflow_transform/version.py
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Expand Up @@ -14,4 +14,4 @@
"""Contains the version string of TF.Transform."""

# Note that setup.py uses this version.
__version__ = '0.22.0dev'
__version__ = '0.22.0'

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