Version 1.13.0

Major Features and Improvements

Supported setting the container image at a component level for Kubeflow V2 Dag Runner.

Conditional can be used from tfx.dsl.Cond (Given from tfx import v1 as tfx).
Dummy channel for testing can be constructed by tfx.testing.Channel(artifact_type).
placeholder.Placeholder.placeholders_involved() was replaced with placeholder.Placeholder.traverse().
placeholder.Predicate.dependent_channels() was replaced with channel_utils.get_dependent_channels(Placeholder).
placeholder.Predicate.encode_with_keys(...) was replaced with channel_utils.encode_placeholder_with_channels(Placeholder, ...).
placeholder.Predicate.from_comparison() removed (was deprecated)
enable external_pipeline_artifact_query for querying artifact within one pipeline
Support InputArtifact[List[Artifact]] annotation in Python function custom component

Support to task type "workerpool1" of CLUSTER_SPEC in Vertex AI training's service according to the changes of task type in Tuner component.
Propagates unexpected import failures in the public v1 module.

Package Name	Version Constraints	Previously (in `v1.12.0`)	Comments
`click`	`>=7,<9`	`>=7,<8`
`ml-metadata`	`~=1.13.1`	`~=1.12.0`	Synced release train
`protobuf`	`>=3.13,<4`	`>=3.20.3,<5`	To support TF 2.12
`struct2tensor`	`~=0.44.0`	`~=0.43.0`	Synced release train
`tensorflow`	`~=2.12.0`	`>=1.15.5,<2` or `~=2.11.0`
`tensorflow-data-validation`	`~=1.13.0`	`~=1.12.0`	Synced release train
`tensorflow-model-analysis`	`~=0.44.0`	`~=0.43.0`	Synced release train
`tensorflow-transform`	`~=1.13.0`	`~=1.12.0`	Synced release train
`tfx-bsl`	`~=1.13.0`	`~=1.12.0`	Synced release train