TFX 1.8.0-rc0

Major Features and Improvements

• Added experimental exit_handler support for KubeflowDagRunner.
• Enabled custom labels to be submitted to CAIP training jobs.
• Enabled custom Python function-based components to share pipeline Beam
  configuration by [inheriting from BaseBeamComponent]
  (https://www.tensorflow.org/tfx/guide/custom_function_component)

Breaking Changes

For Pipeline Authors

• N/A

For Component Authors

• N/A

Deprecations

• N/A

Bug Fixes and Other Changes

• LatestBlessedModelStrategy gracefully handles the case where there are no
  blessed model at all (e.g. first run).
• Fix that the resolver with custom ResolverStrategy (assume correctly
  packaged) fails.
• Fixed ElwcBigQueryExampleGen data serializiation error that was causing an
  assertion failure on Beam.
• Added dark mode styling support for InteractiveContext notebook formatters.
• (Python 3.9+) Supports list and dict in type definition of execution
  properties.
• Populate Artifact proto name field when name is set on the Artifact python
  object.
• Temporarily capped apache-airflow version to 2.2.x to avoid dependency
  conflict. We will rollback this change once kfp releases a new version.
• Fixed a compatibility issue with apache-airflow 2.3.0 that is failing with
  "unexpected keyword argument 'default_args'".
• StatisticsGen will raise an error if unsupported StatsOptions (i.e.,
  generators or experimental_slice_functions) are passed.

Dependency Updates

Package Name	Version Constraints	Previously (in v1.7.0)	Comments
apache-beam[gcp]	>=2.38,<3	>=2.36,<3	Synced release train

Documentation Updates

• N/A

TFX 1.5.1

Major Features and Improvements

Breaking Changes

For Pipeline Authors

For Component Authors

Deprecations

Bug Fixes and Other Changes

• Uses apache-beam==2.38 in the tfx container image.

Documentation Updates

TFX 1.7.1

Major Features and Improvements

Breaking Changes

For Pipeline Authors

For Component Authors

Deprecations

Bug Fixes and Other Changes

• Fix that the resolver with custom ResolverStrategy (assume correctly
  packaged) fails.

Dependency Updates

Documentation Updates

TFX 1.6.2

Major Features and Improvements

• N/A

Breaking Changes

For Pipeline Authors

• N/A

For Component Authors

• N/A

Deprecations

• N/A

Bug Fixes and Other Changes

• N/A

Dependency Updates

Package Name	Version Constraints	Previously (in v1.6.0)	Comments
tensorflow	>=1.15.5,<2 or ~=2.7.0 or ~=2.8.0	>=1.15.5,<2 or ~=2.7.0

Documentation Updates

• N/A

TFX 1.7.0

Major Features and Improvements

• Added support for list-type Placeholder.

Breaking Changes

For Pipeline Authors

• N/A

For Component Authors

• N/A

Deprecations

• Removed the already-deprecated components.ImporterNode, should use
  v1.dsl.Importer instead.
• Deprecated Channel property setters. Use constructor argument instead.

Bug Fixes and Other Changes

• Fixed the cluster spec error in CAIP Tuner on Vertex when
  num_parallel_trials = 1
• Replaced deprecated assertDictContainsSubset with
  assertLessEqual(itemsA, itemsB).
• Updating Keras tutorial to make better use of Keras, and better feature
  engineering.
• Merges KFP UI Metadata file if it already exists. Now components can produce
  their own UI results and it will be merged with existing visualization.
• Switch Transform component to always use sketch when computing top-k stats.

Dependency Updates

Package Name	Version Constraints	Previously (in v1.6.0)	Comments
apache-beam[gcp]	~=2.36	~=2.35	Synced release train
google-cloud-aiplatform	>=1.6.2,<2	>=1.5.0,<2
ml-metadata	~=1.7.0	~=1.6.0	Synced release train
struct2tensor	~=0.38.0	~=0.37.0	Synced release train
tensorflow	>=1.15.5,<2 or ~=2.8.0	>=1.15.5,<2 or ~=2.7.0
tensorflow-data-validation	~=1.7.0	~=1.6.0	Synced release train
tensorflow-decision-forests	==0.2.4	==0.2.1
tensorflow-model-analysis	~=0.38.0	~=0.37.0	Synced release train
tensorflow-serving-api	>=1.15,<3 or ~=2.8.0	>=1.15,<3 or ~=2.7.0
tensorflow-transform	~=1.7.0	~=1.6.0	Synced release train
tfx-bsl	~=1.7.0	~=1.6.0	Synced release train

Documentation Updates

• N/A

TFX 1.7.0-rc0

Major Features and Improvements

• Added support for list-type Placeholder.

Breaking Changes

For Pipeline Authors

• N/A

For Component Authors

• N/A

Deprecations

• Removed the already-deprecated components.ImporterNode, should use
  v1.dsl.Importer instead.
• Deprecated Channel property setters. Use constructor argument instead.

Bug Fixes and Other Changes

• Fixed the cluster spec error in CAIP Tuner on Vertex when
  num_parallel_trials = 1
• Replaced deprecated assertDictContainsSubset with
  assertLessEqual(itemsA, itemsB).
• Updating Keras tutorial to make better use of Keras, and better feature
  engineering.
• Merges KFP UI Metadata file if it already exists. Now components can produce
  their own UI results and it will be merged with existing visualization.
• Switch Transform component to always use sketch when computing top-k stats.

Dependency Updates

Package Name	Version Constraints	Previously (in v1.6.0)	Comments
apache-beam[gcp]	~=2.36	~=2.35	Synced release train
google-cloud-aiplatform	>=1.6.2,<2	>=1.5.0,<2
ml-metadata	~=1.7.0	~=1.6.0	Synced release train
struct2tensor	~=0.38.0	~=0.37.0	Synced release train
tensorflow	>=1.15.5,<2 or ~=2.8.0	>=1.15.5,<2 or ~=2.7.0
tensorflow-data-validation	~=1.7.0	~=1.6.0	Synced release train
tensorflow-decision-forests	==0.2.4	==0.2.1
tensorflow-model-analysis	~=0.38.0	~=0.37.0	Synced release train
tensorflow-serving-api	>=1.15,<3 or ~=2.8.0	>=1.15,<3 or ~=2.7.0
tensorflow-transform	~=1.7.0	~=1.6.0	Synced release train
tfx-bsl	~=1.7.0	~=1.6.0	Synced release train

Documentation Updates

• N/A

TFX 1.6.1

Major Features and Improvements

• N/A

Breaking Changes

For Pipeline Authors

• N/A

For Component Authors

• N/A

Deprecations

• N/A

Bug Fixes and Other Changes

• Fixed Pusher issue that didn't copy files other than
  saved_model.pb.

Documentation Updates

• N/A

TFX 1.6.0

Major Features and Improvements

• Added experimental support for TensorFlow Decision Forests models.
• Added Boolean type value artifacts.
• Function components defined with @component may now have optional/nullable
  primitive type return values when Optional[T] is used in the return type
  OutputDict.

Breaking Changes

For Pipeline Authors

• N/A

For Component Authors

• N/A

Deprecations

• N/A

Bug Fixes and Other Changes

• Depends on numpy>=1.16,<2.
• Depends on absl-py>=0.9,<2.0.0.
• Depends on apache-beam[gcp]>=2.35,<3.
• Depends on ml-metadata>=1.6.0,<1.7.0.
• Depends on struct2tensor>=0.37.0,<0.38.0.
• Depends on tensorflow-data-validation>=1.6.0,<1.7.0.
• Depends on tensorflow-model-analysis>=0.37.0,<0.38.0.
• Depends on tensorflow-transform>=1.6.0,<1.7.0.
• Depends on tfx-bsl>=1.6.0,<1.7.0.
• Depends on
  tensorflow>=1.15.5,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,<3.
• Depends on kfp>=1.8.5,<2'.
• Pusher now copies the saved_model.pb file at last to prevent loading
  SavedModel on invalid (partially available) directory state.
• Always disable caching for exit handlers in Kubeflow V2 runner to
  reflect latest status of dependent dag.

Documentation Updates

• N/A

TFX 1.6.0-rc0

Major Features and Improvements

• Added experimental support for TensorFlow Decision Forests models.
• Added Boolean type value artifacts.
• Function components defined with @component may now have optional/nullable
  primitive type return values when Optional[T] is used in the return type
  OutputDict.

Breaking Changes

For Pipeline Authors

• N/A

For Component Authors

• N/A

Deprecations

• N/A

Bug Fixes and Other Changes

• Depends on numpy>=1.16,<2.
• Depends on absl-py>=0.9,<2.0.0.
• Depends on apache-beam[gcp]>=2.35,<3.
• Depends on ml-metadata>=1.6.0,<1.7.0.
• Depends on struct2tensor>=0.37.0,<0.38.0.
• Depends on tensorflow-data-validation>=1.6.0,<1.7.0.
• Depends on tensorflow-model-analysis>=0.37.0,<0.38.0.
• Depends on tensorflow-transform>=1.6.0,<1.7.0.
• Depends on tfx-bsl>=1.6.0,<1.7.0.
• Depends on
  tensorflow>=1.15.5,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,<3.
• Depends on kfp>=1.8.5,<2'.
• Pusher now copies the saved_model.pb file at last to prevent loading
  SavedModel on invalid (partially available) directory state.
• Always disable caching for exit handlers in Kubeflow V2 runner to
  reflect latest status of dependent dag.

Documentation Updates

• N/A

TFX 1.4.1

Major Features and Improvements

• N/A

Breaking Changes

• N/A

For Pipeline Authors

• N/A

For Component Authors

• N/A

Deprecations

• N/A

Bug Fixes and Other Changes

• Ensures that Tensorflow is not re-installed during a container image build.

Documentation Updates

• N/A