TFX 1.3.0-rc0
Pre-release
Pre-release
Major Features and Improvements
- TFX CLI now supports runtime parameter on Kubeflow, Vertex, and Airflow.
Use it with '--runtime_parameter=<parameter_name>=<parameter_value>' flag.
In the case of multiple runtime parameters, format is as follows:
'--runtime_parameter=<parameter_name>=<parameter_value> --runtime_parameter
=<parameter_name>=<parameter_value>' - Added Manual node in the experimental orchestrator.
- Placeholders support index access and JSON serialization for list type execution properties.
- Added
ImportSchemaGen
which is a dedicated component to import a
pre-defined schema file. ImportSchemaGen will replaceImporter
with
simpler syntax and less constraints. You have to pass the file path to the
schema file instead of the parent directory unlikeImporter
.
Breaking Changes
For Pipeline Authors
- N/A
For Component Authors
- N/A
Deprecations
- The import name of KerasTuner has been changed from
kerastuner
tokeras_tuner
. The import name ofkerastuner
is still supported.
A warning will occur when import fromkerastuner
, but does not affect
the usage.
Bug Fixes and Other Changes
- The default job name for Google Cloud AI Training jobs was changed from
'tfx_YYYYmmddHHMMSS' to 'tfx_YYYYmmddHHMMSS_xxxxxxxx', where 'xxxxxxxx' is
a random 8 digit hexadecimal string. - Fix component to raise error if its input required channel (specified from
ComponentSpec) has no artifacts in it. - Fixed an issue where ClientOptions with regional endpoint was
incorrectly left out in Vertex AI pusher. - CLI now hides passed flags from user python files in "--pipeline-path". This
will prevent errors when user python file tries reading and parsing flags. - Fixed missing type information marker file 'py.typed'.
- Depends on
apache-beam[gcp]>=2.32,<3
. - Depends on
google-cloud-bigquery>=1.28.0,<3
. - Depends on
google-cloud-aiplatform>=0.5.0,<=1.4.3
. - Depends on
jinja2>=2.7.3,<4
, i.e. now supports Jinja 3.x. - Depends on
keras-tuner>=1.0.4,<2
. - Depends on
kfp>=1.6.1,!=1.7.2,<1.8.2
in [kfp] extra. - Depends on
kfp-pipeline-spec>=>=0.1.10,<0.2
. - Depends on
ml-metadata>=1.3.0,<1.4.0
. - Depends on
struct2tensor>=0.34.0,<0.35.0
. - Depends on
tensorflow>=1.15.2,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,<3
. - Depends on
tensorflow-data-validation>=1.3.0,<1.4.0
. - Depends on
tensorflow-model-analysis>=0.34.1,<0.35.0
. - Depends on
tensorflow-serving-api>=1.15,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,<3
. - Depends on
tensorflow-transform>=1.3.0,<1.4.0
. - Depends on
tfx-bsl>=1.3.0,<1.4.0
.
Documentation Updates
- N/A