Prepare for TFT 0.14 release.

- Updating version to 0.14.0
- Setting the currently release in the release notes to 0.14
- Requiring TF version >= 0.14
- Depending on Beam 2.14, and updating the dependency tables
- Adding official python 3.6 and 3.7 support in setup.py

PiperOrigin-RevId: 261703272

Author: zoyahav

README.md

@@ -59,7 +59,8 @@ 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) |2.13.0          |
+|[GitHub master](https://github.com/tensorflow/transform/blob/master/RELEASE.md) |nightly (1.x) |2.14.0          |
+|[0.14.0](https://github.com/tensorflow/transform/blob/v0.13.0/RELEASE.md)       |1.14          |2.14.0          |
 |[0.13.0](https://github.com/tensorflow/transform/blob/v0.13.0/RELEASE.md)       |1.13          |2.11.0          |
 |[0.12.0](https://github.com/tensorflow/transform/blob/v0.12.0/RELEASE.md)       |1.12          |2.10.0          |
 |[0.11.0](https://github.com/tensorflow/transform/blob/v0.11.0/RELEASE.md)       |1.11          |2.8.0           |

RELEASE.md

@@ -1,5 +1,5 @@
 <!-- mdformat off(mdformat causes unwanted indentation changes) -->
-# Current version (not yet released; still in development)
+# Release 0.14.0
 
 ## Major Features and Improvements
 * New `tft.word_count` mapper to identify the number of tokens for each row
@@ -49,16 +49,16 @@
 * At test utility `tft_unit.cross_named_parameters` for creating parameterized
   tests that involve the cartesian product of various parameters.
 * Depends on `tensorflow-metadata>=0.14,<0.15`.
-* Depends on `apache-beam[gcp]>=2.13,<3`.
+* Depends on `apache-beam[gcp]>=2.14,<3`.
 * Depends on `numpy>=1.16,<2`.
 * Depends on `absl-py>=0.7,<2`.
 * Allow `preprocessing_fn` to emit a `tf.RaggedTensor`.  In this case, the
   output `Schema` proto will not be able to be converted to a feature spec,
   and so the output data will not be able to be materialized with `tft.coders`.
 * Ability to directly set exact `num_buckets` with new parameter
-  `always_return_num_quantiles` for `analyzers.quantiles` and 
+  `always_return_num_quantiles` for `analyzers.quantiles` and
   `mappers.bucketize`, defaulting to False in general but True when
-  `reduce_instance_dims` is False
+  `reduce_instance_dims` is False.
 
 ## Breaking changes
 * `tf_utils.reduce_batch_count_mean_and_var`, which feeds into
@@ -73,6 +73,7 @@
 * Only explicitly public analyzers are exported to the `tft` module, e.g.
   combiners are no longer exported and have to be accessed directly through
   `tft.analyzers`.
+* Requires pre-installed TensorFlow >=1.14,<2.
 
 ## Deprecations
 * `DatasetSchema` is now a deprecated factory method (see above).

docs/install.md

@@ -54,9 +54,10 @@ The following table is the `tf.Transform` package versions that are
 compatible with each other. This is determined by our testing framework, but
 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) |2.13.0          |
+|tensorflow-transform                                                            |tensorflow    |apache-beam[gcp]|
+|--------------------------------------------------------------------------------|--------------|----------------|
+|[GitHub master](https://github.com/tensorflow/transform/blob/master/RELEASE.md) |nightly (1.x) |2.14.0          |
+|[0.14.0](https://github.com/tensorflow/transform/blob/v0.13.0/RELEASE.md)       |1.14          |2.14.0          |
 |[0.13.0](https://github.com/tensorflow/transform/blob/v0.13.0/RELEASE.md)       |1.13          |2.11.0          |
 |[0.12.0](https://github.com/tensorflow/transform/blob/v0.12.0/RELEASE.md)       |1.12          |2.10.0          |
 |[0.11.0](https://github.com/tensorflow/transform/blob/v0.11.0/RELEASE.md)       |1.11          |2.8.0           |

setup.py

@@ -28,7 +28,7 @@ def _make_required_install_packages():
   # six, and protobuf) with TF.
   return [
       'absl-py>=0.7,<2',
-      'apache-beam[gcp]>=2.13,<3',
+      'apache-beam[gcp]>=2.14,<3',
       'numpy>=1.16,<2',
       'protobuf>=3.7,<4',
       'six>=1.10,<2',
@@ -71,10 +71,8 @@ def _make_required_install_packages():
         'Programming Language :: Python :: 2.7',
         'Programming Language :: Python :: 3',
         'Programming Language :: Python :: 3.5',
-        # TODO(b/125613675): Once Beam supports Python 3.6 and 3.7, uncomment
-        # these lines.
-        # 'Programming Language :: Python :: 3.6',
-        # 'Programming Language :: Python :: 3.7',
+        'Programming Language :: Python :: 3.6',
+        'Programming Language :: Python :: 3.7',
         'Topic :: Scientific/Engineering',
         'Topic :: Scientific/Engineering :: Artificial Intelligence',
         'Topic :: Scientific/Engineering :: Mathematics',

tensorflow_transform/beam/impl.py

@@ -448,9 +448,9 @@ def process(self, batch, saved_model_dir):
 def _assert_tensorflow_version():
   # Fail with a clear error in case we are not using a compatible TF version.
   major, minor, _ = tf.__version__.split('.')
-  if int(major) != 1 or int(minor) < 13:
+  if int(major) != 1 or int(minor) < 14:
     raise RuntimeError(
-        'TensorFlow version >= 1.13, < 2 is required. Found (%s). Please '
+        'TensorFlow version >= 1.14, < 2 is required. Found (%s). Please '
         'install the latest 1.x version from '
         'https://github.com/tensorflow/tensorflow. ' % tf.__version__)
 

tensorflow_transform/version.py

@@ -14,4 +14,4 @@
 """Contains the version string of TF.Transform."""
 
 # Note that setup.py uses this version.
-__version__ = '0.14.0dev'
+__version__ = '0.14.0'