Major Features and Improvements
- Supported output examples artifact for BulkInferrer which can be used to
link with downstream training. - TFX Transform switched to a (notably) faster and more accurate
implementation oftft.quantiles
analyzer. - Added native TF 2 implementation of Transform. The default
behavior will continue to use Tensorflow's compat.v1 APIs. This can be
overriden by passingforce_tf_compat_v1=False
and enabling TF 2 behaviors.
The default behavior for TF 2 will be switched to the new native
implementation in a future release. - Added support for passing a callable to set pre/post transform statistic
generation options.
Breaking changes
- Wheel package building for TFX has changed, and users need to follow the
[new TFX package build instructions]
(https://github.com/tensorflow/tfx/blob/master/package_build/README.md) to
build wheels for TFX.
For pipeline authors
- N/A
For component authors
- N/A
Deprecations
- TrainerFnArgs is deprecated by FnArgs.
- Deprecated DockerComponentConfig class: user should set a DockerPlatformConfig
proto inplatform_config
usingwith_platform_config()
API instead.
Bug fixes and other changes
- Official TFX container image's entrypoint is changed so the image can be
used as a custom worker for Dataflow. - In the published TFX container image, wheel files are now used to install
TFX, and the TFX source code has been moved to/tfx/src
. - Added a skeleton of CLI support for Kubeflow V2 runner, and implemented
support for pipeline operations. - Added an experimental template to use with Kubeflow V2 runner.
- Added sanitization of user-specified pipeline name in Kubeflow V2 runner.
- Migrated
deployment_config
in Kubeflow V2 runner fromAny
proto message
toStruct
, to ensure compatibility across different copies of the proto
libraries. - The
tfx.dsl.io.fileio
filesystem handler will delegate to
tensorflow.io.gfile
for any unknown filesystem schemes if TensorFlow
is installed. - Depends on
apache-beam[gcp]>=2.25,!=2.26,<3
. - Depends on
keras-tuner>=1,<1.0.2
. - Depends on
kfp-pipeline-spec>=0.1.3,<0.2
. - Depends on
ml-metadata>=0.26.0,<0.27.0
. - Depends on
tensorflow>=1.15.2,!=2.0.*,!=2.1.*,!=2.2.*,!=2.4.*,<3
. - Depends on
tensorflow-data-validation>=0.26,<0.27
. - Depends on
tensorflow-model-analysis>=0.26,<0.27
. - Depends on
tensorflow-serving>=1.15,!=2.0.*,!=2.1.*,!=2.2.*,!=2.4.*,<3
. - Depends on
tensorflow-transform>=0.26,<0.27
. - Depends on
tfx-bsl>=0.26.1,<0.27
.
Documentation updates
- N/A