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PiperOrigin-RevId: 219695802

Author: tf-transform-team

README.md

@@ -55,7 +55,8 @@ 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) |2.6.0           |
+|[GitHub master](https://github.com/tensorflow/transform/blob/master/RELEASE.md) |nightly (1.x) |2.8.0           |
+|[0.11.0](https://github.com/tensorflow/transform/blob/v0.11.0/RELEASE.md)       |1.11          |2.8.0           |
 |[0.9.0](https://github.com/tensorflow/transform/blob/v0.9.0/RELEASE.md)         |1.9           |2.6.0           |
 |[0.8.0](https://github.com/tensorflow/transform/blob/v0.8.0/RELEASE.md)         |1.8           |2.5.0           |
 |[0.6.0](https://github.com/tensorflow/transform/blob/v0.6.0/RELEASE.md)         |1.6           |2.4.0           |

RELEASE.md

@@ -1,19 +1,21 @@
-# Current version (not yet released; still in development)
+# Release 0.11.0
 
 ## Major Features and Improvements
 
 ## Bug Fixes and Other Changes
 
-*   'tft.vocabulary' and 'tft.compute_and_apply_vocabulary' now support
-    filtering based on mutual information when `labels` is provided.
-*   Export all package level exports of `tensorflow_transform`, from the
-    `tensorflow_transform.beam` subpackage. This allows users to just import the
-    `tensorflow_transform.beam` subpackage for all functionality.
-*   Adding API docs
-*   Fix bug where Transform returned a different dtype for a VarLenFeature with
-    0 elements.
+* 'tft.vocabulary' and 'tft.compute_and_apply_vocabulary' now support filtering
+  based on mutual information when `labels` is provided.
+* Export all package level exports of `tensorflow_transform`, from the
+  `tensorflow_transform.beam` subpackage. This allows users to just import the
+  `tensorflow_transform.beam` subpackage for all functionality.
+* Adding API docs.
+* Fix bug where Transform returned a different dtype for a VarLenFeature with
+  0 elements.
+* Depends on `apache-beam[gcp]>=2.8,<3`.
 
 ## Breaking changes
+* Requires pre-installed TensorFlow >=1.11,<2.
 
 ## Deprecations
 * All functions in `tensorflow_transform.saved.input_fn_maker` are deprecated.

setup.py

@@ -17,13 +17,13 @@
 from setuptools import setup
 
 # Tensorflow transform version.
-__version__ = '0.10.0dev'
+__version__ = '0.11.0'
 
 
 def _make_required_install_packages():
   return [
       'absl-py>=0.1.6',
-      'apache-beam[gcp]>=2.6,<3',
+      'apache-beam[gcp]>=2.8,<3',
       'numpy>=1.13.3,<2',
 
       # TF now requires protobuf>=3.6.0.

tensorflow_transform/beam/impl.py

@@ -405,9 +405,9 @@ 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) < 9:
+  if int(major) != 1 or int(minor) < 11:
     raise RuntimeError(
-        'TensorFlow version >= 1.9, < 2 is required. Found (%s). Please '
+        'TensorFlow version >= 1.11, < 2 is required. Found (%s). Please '
         'install the latest 1.x version from '
         'https://github.com/tensorflow/tensorflow. ' % tf.__version__)
 

tensorflow_transform/output_wrapper.py

@@ -77,9 +77,9 @@ def vocabulary_file_by_name(self, vocab_filename):
     Args:
       vocab_filename: The relative filename to lookup.
     """
-    return os.path.join(
-        self.transform_savedmodel_dir, tf.saved_model.ASSETS_DIRECTORY,
-        vocab_filename)
+    return os.path.join(self.transform_savedmodel_dir,
+                        tf.saved_model.constants.ASSETS_DIRECTORY,
+                        vocab_filename)
 
   def vocabulary_size_by_name(self, vocab_filename):
     """Like vocabulary_file_by_name, but returns the size of vocabulary."""