TFX 0.27.0

Major Features and Improvements

• Supports different types of quantizations on TFLite conversion using
  TFLITE_REWRITER by setting quantization_optimizations,
  quantization_supported_types and quantization_enable_full_integer. Flag
  definitions can be found here: Post-traning
  quantization.
• Added automatic population of tfdv.StatsOptions.vocab_paths when computing
  statistics within the Transform component.

Breaking changes

For pipeline authors

• enable_quantization from TFLITE_REWRITER is removed and setting
  quantization_optimizations = [tf.lite.Optimize.DEFAULT] will perform the
  same type of quantization, dynamic range quantization. Users of the
  TFLITE_REWRITER who do not enable quantization should be uneffected.
• Default value for infer_feature_shape for SchemaGen changed from False
  to True, as indicated in previous release log. The inferred schema might
  change if you do not specify infer_feature_shape. It might leads to
  changes of the type of input features in Transform and Trainer code.

For component authors

• N/A

Deprecations

• Pipeline information is not be stored on the local filesystem anymore using
  Kubeflow Pipelines orchestration with CLI. Instead, CLI will always use the
  latest version of the pipeline in the Kubeflow Pipeline cluster. All
  operations will be executed based on the information on the Kubeflow
  Pipeline cluster. There might be some left files on
  ${HOME}/tfx/kubeflow or ${HOME}/kubeflow but those will not be used
  any more.
• The tfx.components.common_nodes.importer_node.ImporterNode class has been
  moved to tfx.dsl.components.common.importer.Importer, with its
  old module path kept as a deprecated alias, which will be removed in a
  future version.
• The tfx.components.common_nodes.resolver_node.ResolverNode class has been
  moved to tfx.dsl.components.common.resolver.Resolver, with its
  old module path kept as a deprecated alias, which will be removed in a
  future version.
• The tfx.dsl.resolvers.BaseResolver class has been
  moved to tfx.dsl.components.common.resolver.ResolverStrategy, with its
  old module path kept as a deprecated alias, which will be removed in a
  future version.
• Deprecated input/output compatibility aliases for ExampleValidator,
  Evaluator, Trainer and Pusher.

Bug fixes and other changes

• InfraValidator supports using alternative TensorFlow Serving image in case
  deployed environment cannot reach the public internet (nor the docker hub).
  Such alternative image should behave the same as official
  tensorflow/serving image such as the same model volume path, serving port,
  etc.
• Executor in tfx.extensions.google_cloud_ai_platform.pusher.executor
  supported regional endpoint and machine_type.
• Starting from this version, proto files which are used to generate
  component-level configs are included in the tfx package directly.
• The tfx.dsl.io.fileio.NotFoundError exception unifies handling of not-
  found errors across different filesystem plugin backends.
• Fixes the serialization of zero-valued default when using RuntimeParameter
  on Kubeflow.
• Depends on apache-beam[gcp]>=2.27,<3.
• Depends on ml-metadata>=0.27.0,<0.28.0.
• Depends on numpy>=1.16,<1.20.
• Depends on pyarrow>=1,<3.
• Depends on kfp-pipeline-spec>=0.1.5,<0.2 in test and image.
• Depends on tensorflow>=1.15.2,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,<3.
• Depends on tensorflow-data-validation>=0.27.0,<0.28.0.
• Depends on tensorflow-model-analysis>=0.27.0,<0.28.0.
• Depends on tensorflow-serving-api>=1.15,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,<3.
• Depends on tensorflow-transform>=0.27.0,<0.28.0.
• Depends on tfx-bsl>=0.27.0,<0.28.0.

Documentation updates

• N/A