TFX-BSL 0.26.1 Patch Release

* Update setup.py * Update RELEASE.md * Update version.py * Update setup.py * Update RELEASE.md * Update setup.py
tensorflow · Dec 17, 2020 · f7c5b65 · f7c5b65
1 parent 6b30b96
commit f7c5b65
Show file tree

Hide file tree

Showing 3 changed files with 8 additions and 352 deletions.
diff --git a/RELEASE.md b/RELEASE.md
@@ -1,76 +1,14 @@
-<!-- mdlint off(HEADERS_TOO_MANY_H1) -->
-
-# `tfx_bsl` release notes
-
-# Version 0.26.0
+# Version 0.26.1
 
 ## Major Features and Improvements
 
-*   `.TensorFlowDataset` interface is available in RawTfRecord TFXIO.
-
-## Bug Fixes and Other Changes
-
-*   Fix TFExampleRecord TFXIO's TensorFlowDataset output key's to match the
-    tensor representation's tensor name (Previously this assumed the user
-    provided a tensor name that is the same as the feature name).
-*   Add utility in tensor_representation_util.py to get source columns from a
-    tensor representation.
-*   Depends on `tensorflow-metadata>=0.26,<0.27`.
-
-## Breaking changes
-
-*   N/A
-
-## Deprecations
-
 *   N/A
 
-# Version 0.25.0
-
-## Major Features and Improvements
-
-*   Add `RecordBatches` interface to TFXIO. This interface returns an iterable
-    of record batches, which can be used outside of Apache Beam or TensorFlow to
-    access data.
-*   From this release TFX-BSL will also be hosting nightly packages on
-    https://pypi-nightly.tensorflow.org. To install the nightly package use the
-    following command:
-
-    ```
-    pip install -i https://pypi-nightly.tensorflow.org/simple tfx-bsl
-    ```
-
-    Note: These nightly packages are unstable and breakages are likely to
-    happen. The fix could often take a week or more depending on the complexity
-    involved for the wheels to be available on the PyPI cloud service. You can
-    always use the stable version of TFX-BSL available on PyPI by running the
-    command `pip install tfx-bsl` .
-
 ## Bug Fixes and Other Changes
-*  TensorToArrow returns LargeListArray/LargeBinaryArray in place of
-   ListArray/BinaryArray.
-*  array_util.IndexIn now supports LargeBinaryArray inputs.
-*  Depends on `apache-beam[gcp]>=2.25,<3`.
-*  Depends on `tensorflow-metadata>=0.25,<0.26`.
-
-## Breaking changes
 
-*  Coders (Example, CSV) do not support outputting ListArray/BinaryArray any
-   more. They can only output LargeListArray/LargeBinaryArray.
-
-## Deprecations
-
-*   N/A
-
-# Version 0.24.1
-
-## Major Features and Improvements
-
-*   N/A
-
-## Bug Fixes and Other Changes
-
-*   Depends on `apache-beam[gcp]>=2.24,<3`.
+*   Depends on `apache-beam[gcp]>=2.25,!=2.26.*,<3`.
+*   Depends on `tensorflow>=1.15.2,!=2.0.*,!=2.1.*,!=2.2.*,!=2.4.*,<3`.
+*   Depends on `tensorflow-serving>=1.15,!=2.0.*,!=2.1.*,!=2.2.*,!=2.4.*,<3`.
 
 ## Breaking changes
 
@@ -79,285 +17,3 @@
 ## Deprecations
 
 *   N/A
-
-# Version 0.24.0
-
-## Major Features and Improvements
-
-*   You can now build `tfx_bsl` wheel with `python setup.py bdist_wheel`. Note:
-    *   If you want to build a manylinux2010 wheel you'll still need to use
-        Docker.
-    *   Bazel is still required.
-*   You can now build manylinux2010 `tfx_bsl` wheel for Python 3.8.
-*   From this version we will be releasing python 3.8 wheels.
-
-## Bug Fixes and Other Changes
-
-*   Stopped depending on `six`.
-*   Depends on `absl-py>=0.9,<0.11`.
-*   Depends on `pandas>=1.0,<2`.
-*   Depends on `protobuf>=3.9.2,<4`.
-*   Depends on `tensorflow-metadata>=0.24,<0.25`.
-
-## Breaking changes
-
-*   N/A
-
-## Deprecations
-
-*   Deprecated py3.5 support.
-
-# Version 0.23.0
-
-## Major Features and Improvements
-*  Several TFXIO symbols are made public, which means:
-  * TFX users (both pipeline and component authors), and TFX libraries
-    (TFDV, TFMA, TFT) users may start using these symbols.
-  * We will be subject to semantic versioning once tfx_bsl goes beyond 1.0.
-*  TFRecord based TFXIO implementations now support reading from multiple file
-   patterns.
-*  Implemented the TensorFlowDataset() interface for TFExampleRecord TFXIO.
-*  Starting from this version, `tfx_bsl` has no binary dependency on `pyarrow`
-   (`libarrow.so`). As a result:
-   -  Package `tfx_bsl` will be able to work with a wider range of pyarrow
-      versions. We will relax the version requirements in setup.py in the next
-      release.
-   -  Custom built `tfx_bsl` does not have to maintain ABI compatiblity with
-      a specific `pyarrow` installation. Custom builds don't need to be
-      manylinux-conformant.
-
-## Bug Fixes and Other Changes
-
-*   Starting from this version, the windows wheel will be built with VS 2015.
-*   `run_all_tests` will fail with exit code -2 if no tests are discovered.
-*   Stopped requiring `avro-python3`.
-*   Example coders will ignore duplicate feature names in the TFMD schema (only
-    the first one counts). It is a temporary measure until TFDV can check and
-    prevent duplications. DO NOT rely on this behavior.
-*   CsvTFXIO now allows skipping CSV headers (`set skip_header_lines`).
-*   CsvTFXIO now requires `telemetry_descriptors` to construct.
-*   Depends on `apache-beam[gcp]>=2.23,<3`.
-*   Depends on `pyarrow>=0.17,<0.18`.
-*   Depends on `tensorflow>=1.15.2,!=2.0.*,!=2.1.*,!=2.2.*,<3`.
-*   Depends on `tensorflow-metadata>=0.23,<0.24`.
-*   Depends on `tensorflow-serving-api>=1.15,!=2.0.*,!=2.1.*,!=2.2.*,<3`.
-
-## Breaking changes
-
-*   N/A
-
-## Deprecations
-
-*   Dropped Python 2.x support.
-*   Note: We plan to remove Python 3.5 support after this release.
-
-# Version 0.22.1
-
-## Major Features and Improvements
-
-*   Added SequenceExamplesToRecordBatchDecoder.
-*   Added a TFXIO implementation for SequenceExmaples on TFRecord.
-*   Added support for TensorAdapter to output tf.RaggedTensors.
-*   Improved performance of tf.Example and tf.SequenceExample coders.
-
-## Bug Fixes and Other Changes
-
-*   Depends on `pandas>=0.24,<2`.
-*   Depends on `tensorflow>=1.15,!=2.0.*,<3`.
-*   Depends on `tensorflow-metadata>=0.22.2,<0.23`.
-*   Removed tensor_to_arrow_test for TF 1.x as it does not support TF 1.x.
-
-## Breaking changes
-
-## Deprecations
-*   Removed `arrow.table_util.SliceTableByRowIndices` (in favor of
-    `RecordBatchTake`)
-*   Removed `arrow.table_util.MergeTables` (in favor of `MergeRecordBatches`)
-
-# Release 0.22.0
-
-## Major Features and Improvements
-
-*   Moved RunInference API and related protos to tfx_bsl/public directory.
-*   CSV coder support for multivalent columns.
-*   tf.Exmaple coder support for producing large types (LargeList, LargeBinary).
-*   Added TFXIO for CSV
-
-## Bug Fixes and Other Changes
-
-*   Depends on `apache-beam[gcp]>=2.20,<3`.
-*   Depends on `pyarrow>=0.16,<0.17`
-*   Depends on `tensorflow-metadata>=0.22,<0.23`
-
-## Breaking Changes
-
-*   Renamed ModelEndpointSpec to AIPlatformPredictionModelSpec to specify remote
-    model endpoint on Google Cloud Platform.
-*   Renamed InferenceEndpoint to InferenceSpecType.
-
-## Deprecations
-
-# Release 0.21.4
-
-## Major Features and Improvements
-
-*   Added a tfxio.telemetry.ProfileRecordBatches, a PTransform to collect
-    telemetry from Arrow RecordBatches.
-*   Added remote model inference on Google Cloud Platform.
-
-## Bug Fixes and Other Changes
-
-*   Added `arrow.table_util.MergeRecordBatches`: similar to `MergeTables` but
-    operates against `pa.RecordBatch`es.
-*   Added `arrow.table_util.RecordBatchTake`: similar to
-    `SliceTableByRowIndices` but operates against a `pa.RecordBatch`.
-*   Requires `apache-beam>=2.17,<3`
-*   Only requires `avro-python3>=1.8.1,!=1.9.2.*,<2.0.0` on Python 3.5 + MacOS
-*   Requires `google-api-python-client>=1.7.11,<2`
-
-## Breaking Changes
-
-## Deprecations
-
-# Release 0.21.3
-
-## Major Features and Improvements
-
-## Bug Fixes and Other Changes
-
-*   Requires `apache-beam>=2.17,<2.18`
-
-## Breaking Changes
-
-## Deprecations
-
-# Release 0.21.2
-
-## Major Features and Improvements
-
-## Bug Fixes and Other Changes
-*  Fixed a bug in tfx_bsl.arrow.array_util.GetFlattenedArrayParentIndices that
-   could cause memory corruption.
-
-## Breaking Changes
-
-## Deprecations
-
-# Release 0.21.1
-
-## Major Features and Improvements
-*   Defined an abstract subclass of `TFXIO`, `RecordBasedTFXIO` to model record
-    based file formats.
-
-## Bug Fixes and Other Changes
-
-*   Utilities in `tfx_bsl.arrow.array_util` that:
-
-    *   previously takes `ListArray` now can also accept `LargeListArray`.
-    *   previously takes StringArray/BinaryArray now can also accept
-        LargeStringArray and LargeBinaryArray.
-
-    As a result: `GetElementLengths` now returns an `Int64Array`.
-    `GetFlattenedArrayParentIndices` may return an `Int64Array` or an
-    `Int32Array` depending on the input type.
-
-## Breaking Changes
-
-## Deprecations
-
-## Release 0.21.0
-
-### Major Features and Improvements
-
-*   Introduced TFXIO, the interface for
-    [Standardized TFX Inputs](https://github.com/tensorflow/community/blob/master/rfcs/20191017-tfx-standardized-inputs.md)
-
-*   Added the first implementation of TFXIO, for tf.Example on TFRecords.
-
-### Bug Fixes and Other Changes
-
-*   Added a test_util sub-package that contains a tool to discover and run all
-    the absltests in a dir (like python's unittest discovery).
-*   Requires `apache-beam>=2.17,<3`
-*   Requires `pyarrow>=0.15,<0.16`
-*   Requires `tensorflow>=1.15,<3`
-*   Requires `tensorflow-metadata>=0.21,<0.22`.
-
-### Breaking Changes
-
-### Deprecations
-
-## Release 0.15.3
-
-### Major Features and Improvements
-
-*  Requires `apache-beam>=2.16,<2.17` as 2.17 requires a pyarrow version
-   that we don't support yet.
-
-### Bug Fixes and Other Changes
-
-### Breaking Changes
-
-*   Behavior of csv_decoder.ColumnTypeInferrer was changed. A new column type,
-    `ColumnType.UNKNOWN` was added to denote that the inferrer could not
-    determine the type of that column (instead of making a guess of FLOAT).
-    Summary of behavior change (values in the examples are from the same
-    column):
-
-    +   `<int>, <empty>`: before: `FLOAT`; after: `INT`
-    +   `<empty>, ... , <empty>`: before: `FLOAT`; after: `UNKNOWN`
-
-### Deprecations
-
-## Release 0.15.2
-
-### Major Features and Improvements
-
-*   Added a (beam) utility to infer column types from a `PCollection[CSVLine]`.
-*   Added a utility to parse a CSVLine into cells (conforming to RFC4180).
-
-### Bug Fixes and Other Changes
-
-### Breaking Changes
-
-### Deprecations
-
-## Release 0.15.1
-
-### Major Features and Improvements
-
-*   Added dependency on `tensorflow>=1.15,<2.2`. Starting from 1.15, package
-    `tensorflow` comes with GPU support. Users won't need to choose between
-    `tensorflow` and `tensorflow-gpu`.
-    *   Caveat: `tensorflow` 2.0.0 is an exception and does not have GPU
-        support. If `tensorflow-gpu` 2.0.0 is installed before installing
-        `tfx-bsl`, it will be replaced with `tensorflow` 2.0.0. Re-install
-        `tensorflow-gpu` 2.0.0 if needed.
-*   Added dependency on `tensorflow-serving-api>=1.15,<3`.
-*   Added a python PTransform, `tfx_bsl.beam.RunInference` that enables batch
-    inference.
-
-### Bug Fixes and Other Changes
-
-### Breaking Changes
-
-### Deprecations
-
-## Release 0.15.0
-
-### Major Features and Improvements
-
-*   Added a tf.Example <-> Arrow coder.
-*   Added a tf.Example -> `Dict[str, np.ndarray]` coder (this is a legacy format
-    used by some TFX components).
-*   Added some common Arrow utilities (`tfx_bsl.arrow.array_util`).
-*   Added a python class, `tfx_bsl.beam.Shared` that helps sharing a single
-    instance of object across multiple threads.
-*   Added dependency on `apache-beam[gcp]>=2.16,<3`.
-*   Added dependency on `tensorflow-metadata>=0.15,<0.16`.
-
-### Bug Fixes and Other Changes
-
-### Breaking Changes
-
-### Deprecations
diff --git a/setup.py b/setup.py
@@ -162,18 +162,18 @@ def select_constraint(default, nightly=None, git_master=None):
     # six, and protobuf) with TF.
     install_requires=[
         'absl-py>=0.9,<0.11',
-        'apache-beam[gcp]>=2.25,<3',
+        'apache-beam[gcp]>=2.25,!=2.26.*,<3',
         'google-api-python-client>=1.7.11,<2',
         'numpy>=1.16,<2',
         'pandas>=1.0,<2',
         'protobuf>=3.9.2,<4',
         'pyarrow>=0.17,<0.18',
-        'tensorflow>=1.15.2,!=2.0.*,!=2.1.*,!=2.2.*,<3',
+        'tensorflow>=1.15.2,!=2.0.*,!=2.1.*,!=2.2.*,!=2.4.*,<3',
         'tensorflow-metadata' + select_constraint(
             default='>=0.26,<0.27',
             nightly='>=0.27.0.dev',
             git_master='@git+https://github.com/tensorflow/metadata@master'),
-        'tensorflow-serving-api>=1.15,!=2.0.*,!=2.1.*,!=2.2.*,<3',
+        'tensorflow-serving-api>=1.15,!=2.0.*,!=2.1.*,!=2.2.*,!=2.4.*,<3',
     ],
     python_requires='>=3.6,<4',
     packages=find_packages(),

diff --git a/tfx_bsl/version.py b/tfx_bsl/version.py
@@ -14,4 +14,4 @@
 """Contains the version string of tfx_bsl."""
 
 # Note that setup.py uses this version.
-__version__ = '0.26.0'
+__version__ = '0.26.1'