Prepare for TFDV 0.21.0 Release

PiperOrigin-RevId: 290772729

Author: tfx-copybara

README.md

@@ -178,7 +178,8 @@ other *untested* combinations may also work.
 
 |tensorflow-data-validation                                                            |tensorflow        |apache-beam[gcp] |pyarrow |
 |--------------------------------------------------------------------------------------|------------------|-----------------|--------|
-|[GitHub master](https://github.com/tensorflow/data-validation/blob/master/RELEASE.md) |nightly (1.x/2.x) |2.16.0           |0.14.0  |
+|[GitHub master](https://github.com/tensorflow/data-validation/blob/master/RELEASE.md) |nightly (1.x/2.x) |2.17.0           |0.15.0  |
+|[0.21.0](https://github.com/tensorflow/data-validation/blob/v0.21.0/RELEASE.md)       |1.15 / 2.1        |2.17.0           |0.15.0  |
 |[0.15.0](https://github.com/tensorflow/data-validation/blob/v0.15.0/RELEASE.md)       |1.15 / 2.0        |2.16.0           |0.14.0  |
 |[0.14.1](https://github.com/tensorflow/data-validation/blob/v0.14.1/RELEASE.md)       |1.14              |2.14.0           |0.14.0  |
 |[0.14.0](https://github.com/tensorflow/data-validation/blob/v0.14.0/RELEASE.md)       |1.14              |2.14.0           |0.14.0  |

RELEASE.md

@@ -1,5 +1,6 @@
 <!-- mdlint off(HEADERS_TOO_MANY_H1) -->
-# Current version (not yet released; still in development)
+
+# Release 0.21.0
 
 ## Major Features and Improvements
 
@@ -14,19 +15,22 @@
 
 ## Bug Fixes and Other Changes
 
-* Exclude examples in which the entire sparse feature is missing when
-  calculating sparse feature statistics.
-* Validate min_examples_count dataset constraint.
-* Document the schema fields, statistics fields, and detection condition for
-  each anomaly type that TFDV detects.
-* Handle null array in cross feature stats generator, top-k & uniques
-  combiner stats generator, and sklearn mutual information generator.
-* Handle infinity in basic stats generator.
-* Set num_missing and num_examples correctly in the presence of sparse features.
-* Compute weighted feature stats for all weighted features declared in schema.
-* Depends on `tensorflow-metadata>=0.15.2,<0.16`.
-* Depends on `pyarrow>=0.14` (removed the upper bound as it is determined
-  by `tfx-bsl`).
+*   Exclude examples in which the entire sparse feature is missing when
+    calculating sparse feature statistics.
+*   Validate min_examples_count dataset constraint.
+*   Document the schema fields, statistics fields, and detection condition for
+    each anomaly type that TFDV detects.
+*   Handle null array in cross feature stats generator, top-k & uniques combiner
+    stats generator, and sklearn mutual information generator.
+*   Handle infinity in basic stats generator.
+*   Set num_missing and num_examples correctly in the presence of sparse
+    features.
+*   Compute weighted feature stats for all weighted features declared in schema.
+*   Depends on `tensorflow-metadata>=0.21.0,<0.22`.
+*   Depends on `pyarrow>=0.15` (removed the upper bound as it is determined by
+    `tfx-bsl`).
+*   Depends on `tfx-bsl>=0.21.0,<0.22`
+*   Depends on `apache-beam>=2.17,<3`
 
 ## Breaking Changes
 

g3doc/install.md

@@ -173,17 +173,18 @@ The following table shows the  package versions that are
 compatible with each other. This is determined by our testing framework, but
 other *untested* combinations may also work.
 
-|tensorflow-data-validation                                                            |tensorflow        |apache-beam[gcp] |pyarrow |
-|--------------------------------------------------------------------------------------|------------------|-----------------|--------|
-|[GitHub master](https://github.com/tensorflow/data-validation/blob/master/RELEASE.md) |nightly (1.x/2.x) |2.16.0           |0.14.0  |
-|[0.15.0](https://github.com/tensorflow/data-validation/blob/v0.15.0/RELEASE.md)       |1.15 / 2.0        |2.16.0           |0.14.0  |
-|[0.14.1](https://github.com/tensorflow/data-validation/blob/v0.14.1/RELEASE.md)       |1.14              |2.14.0           |0.14.0  |
-|[0.14.0](https://github.com/tensorflow/data-validation/blob/v0.14.0/RELEASE.md)       |1.14              |2.14.0           |0.14.0  |
-|[0.13.1](https://github.com/tensorflow/data-validation/blob/v0.13.1/RELEASE.md)       |1.13              |2.11.0           |n/a     |
-|[0.13.0](https://github.com/tensorflow/data-validation/blob/v0.13.0/RELEASE.md)       |1.13              |2.11.0           |n/a     |
-|[0.12.0](https://github.com/tensorflow/data-validation/blob/v0.12.0/RELEASE.md)       |1.12              |2.10.0           |n/a     |
-|[0.11.0](https://github.com/tensorflow/data-validation/blob/v0.11.0/RELEASE.md)       |1.11              |2.8.0            |n/a     |
-|[0.9.0](https://github.com/tensorflow/data-validation/blob/v0.9.0/RELEASE.md)         |1.9               |2.6.0            |n/a     |
+tensorflow-data-validation                                                            | tensorflow        | apache-beam[gcp] | pyarrow
+------------------------------------------------------------------------------------- | ----------------- | ---------------- | -------
+[GitHub master](https://github.com/tensorflow/data-validation/blob/master/RELEASE.md) | nightly (1.x/2.x) | 2.17.0           | 0.15.0
+[0.21.0](https://github.com/tensorflow/data-validation/blob/v0.21.0/RELEASE.md)       | 1.15 / 2.1        | 2.17.0           | 0.15.0
+[0.15.0](https://github.com/tensorflow/data-validation/blob/v0.15.0/RELEASE.md)       | 1.15 / 2.0        | 2.16.0           | 0.14.0
+[0.14.1](https://github.com/tensorflow/data-validation/blob/v0.14.1/RELEASE.md)       | 1.14              | 2.14.0           | 0.14.0
+[0.14.0](https://github.com/tensorflow/data-validation/blob/v0.14.0/RELEASE.md)       | 1.14              | 2.14.0           | 0.14.0
+[0.13.1](https://github.com/tensorflow/data-validation/blob/v0.13.1/RELEASE.md)       | 1.13              | 2.11.0           | n/a
+[0.13.0](https://github.com/tensorflow/data-validation/blob/v0.13.0/RELEASE.md)       | 1.13              | 2.11.0           | n/a
+[0.12.0](https://github.com/tensorflow/data-validation/blob/v0.12.0/RELEASE.md)       | 1.12              | 2.10.0           | n/a
+[0.11.0](https://github.com/tensorflow/data-validation/blob/v0.11.0/RELEASE.md)       | 1.11              | 2.8.0            | n/a
+[0.9.0](https://github.com/tensorflow/data-validation/blob/v0.9.0/RELEASE.md)         | 1.9               | 2.6.0            | n/a
 
 ## Questions
 

setup.py

@@ -83,15 +83,15 @@ def has_ext_modules(self):
     # six, and protobuf) with TF.
     install_requires=[
         'absl-py>=0.7,<0.9',
-        'apache-beam[gcp]>=2.16,<3',
+        'apache-beam[gcp]>=2.17,<3',
         'numpy>=1.16,<2',
         'protobuf>=3.7,<4',
-        'pyarrow>=0.14',
+        'pyarrow>=0.15',
         'six>=1.12,<2',
         'tensorflow>=1.15,<3',
-        'tensorflow-metadata>=0.21.0,<0.22',
-        'tensorflow-transform>=0.15,<0.16',
-        'tfx-bsl>=0.15.2,<0.17',
+        'tensorflow-metadata>=0.21,<0.22',
+        'tensorflow-transform>=0.21,<0.22',
+        'tfx-bsl>=0.21,<0.22',
 
         # Dependencies needed for visualization.
         # Note that we don't add a max version for IPython as it introduces a

tensorflow_data_validation/version.py

@@ -15,4 +15,4 @@
 """Contains the version string of TFDV."""
 
 # Note that setup.py uses this version.
-__version__ = '0.16.0dev'
+__version__ = '0.21.0'

tensorflow_data_validation/workspace.bzl

@@ -15,7 +15,7 @@ def tf_data_validation_workspace():
     # Fetch tf.Metadata repo from GitHub.
     git_repository(
         name = "com_github_tensorflow_metadata",
-        commit = "1fc2e7fe08ee8f108e84b8a0df8e218002aa45df",
+        commit = "3df244b95157e19c2b1dd811dec05a3861c26c6d",
         remote = "https://github.com/tensorflow/metadata.git",
     )
     # LINT.ThenChange(//third_party/py/tensorflow_data_validation/google/copy.bara.sky)