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TFX 1.2.0 Release
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README.md

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tfx | apache-beam[gcp] | ml-metadata | pyarrow | tensorflow | tensorflow-data-validation | tensorflow-metadata | tensorflow-model-analysis | tensorflow-serving-api | tensorflow-transform | tfx-bsl
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------------------------------------------------------------------------- | ---------------- | ----------- | ------- | ----------------- | -------------------------- | ------------------- | ------------------------- | ---------------------- | -------------------- | -------
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[GitHub master](https://github.com/tensorflow/tfx/blob/master/RELEASE.md) | 2.29.0 | 1.0.0 | 2.0.0 | nightly (1.x/2.x) | 1.0.0 | 1.0.0 | 0.31.0 | 2.5.1 | 1.0.0 | 1.0.0
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[GitHub master](https://github.com/tensorflow/tfx/blob/master/RELEASE.md) | 2.31.0 | 1.0.0 | 2.0.0 | nightly (1.x/2.x) | 1.2.0 | 1.2.0 | 0.33.0 | 2.5.1 | 1.2.0 | 1.2.0
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1.2.0 | 2.31.0 | 1.0.0 | 2.0.0 | 1.15.0 / 2.5.0 | 1.2.0 | 1.2.0 | 0.33.0 | 2.5.1 | 1.2.0 | 1.2.0
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1.0.0 | 2.29.0 | 1.0.0 | 2.0.0 | 1.15.0 / 2.5.0 | 1.0.0 | 1.0.0 | 0.31.0 | 2.5.1 | 1.0.0 | 1.0.0
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0.30.0 | 2.28.0 | 0.30.0 | 2.0.0 | 1.15.0 / 2.4.0 | 0.30.0 | 0.30.0 | 0.30.0 | 2.4.0 | 0.30.0 | 0.30.0
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0.29.0 | 2.28.0 | 0.29.0 | 2.0.0 | 1.15.0 / 2.4.0 | 0.29.0 | 0.29.0 | 0.29.0 | 2.4.0 | 0.29.0 | 0.29.0

RELEASE.md

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## Major Features and Improvements
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## Breaking Changes
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### For Pipeline Authors
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### For Component Authors
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## Deprecations
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## Bug Fixes and Other Changes
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## Documentation Updates
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# Version 1.2.0
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## Major Features and Improvements
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* Added RuntimeParam support for Trainer's custom_config.
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* TFX Trainer and Pusher now support Vertex, which can be enabled with
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`ENABLE_VERTEX_KEY` key in `custom_config`.
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### For Pipeline Authors
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* N/A
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### For Component Authors
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* N/A
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## Deprecations
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* N/A
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## Bug Fixes and Other Changes
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* Fixed issue when InputValuePlaceholder is used as component parameter in
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* `tfx.benchmarks` package was removed from the Python TFX wheel. This package
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is used only for benchmarking and not useful for end users.
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* Fixed the issue for fairness_indicator_thresholds support of Evaluator.
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* Depends on `apache-beam[gcp]>=2.31,<3`.
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* Depends on `kfp-pipeline-spec>=0.1.8,<0.2`.
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* Depends on `ml-metadata>=1.2.0,<1.3.0`.
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* Depends on `struct2tensor>=0.33.0,<0.34.0`.
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* Depends on `tensorflow-data-validation>=1.2.0,<1.3.0`.
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* Depends on `tensorflow-model-analysis>=0.33.0,<0.34.0`.
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* Depends on `tensorflow-transform>=1.2.0,<1.3.0`.
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* Depends on `tfx-bsl>=1.2.0,<1.3.0`.
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## Documentation Updates
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* N/A
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# Version 1.1.x (skipped)
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To maintain version consistency among TFX Family libraries we skipped
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the 1.1.x release for TFX library.
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# Version 1.0.0
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## Major Features and Improvements
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* Removed the extra node information in IR for KubeflowDagRunner, to reduce
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size of generated IR.
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## Breaking Changes
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* Removed unneccessary default values for required component input Channels.

tfx/dependencies.py

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'absl-py>=0.9,<0.13',
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'ml-metadata' + select_constraint(
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# LINT.IfChange
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default='>=1.0.0,<1.1.0',
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default='>=1.2.0,<1.3.0',
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# LINT.ThenChange(tfx/workspace.bzl)
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nightly='>=1.1.0.dev',
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nightly='>=1.3.0.dev',
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git_master='@git+https://github.com/google/ml-metadata@master'),
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'packaging>=20,<21',
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'portpicker>=1.3.1,<2',
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# Make sure to sync the versions of common dependencies (absl-py, numpy,
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# and protobuf) with TF.
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return make_pipeline_sdk_required_install_packages() + [
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'apache-beam[gcp]>=2.29,<3',
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'apache-beam[gcp]>=2.31,<3',
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'attrs>=19.3.0,<21',
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'click>=7,<8',
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'google-cloud-aiplatform>=0.5.0,<0.8',
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'tensorflow>=1.15.2,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,<3',
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'tensorflow-hub>=0.9.0,<0.13',
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'tensorflow-data-validation' + select_constraint(
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default='>=1.0.0,<1.1.0',
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nightly='>=1.1.0.dev',
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default='>=1.2.0,<1.3.0',
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nightly='>=1.3.0.dev',
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git_master='@git+https://github.com/tensorflow/data-validation@master'
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),
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'tensorflow-model-analysis' + select_constraint(
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default='>=0.31,<0.32',
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nightly='>=0.32.0.dev',
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default='>=0.33,<0.34',
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nightly='>=0.34.0.dev',
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git_master='@git+https://github.com/tensorflow/model-analysis@master'),
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'tensorflow-serving-api>=1.15,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,<3',
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'tensorflow-transform' + select_constraint(
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default='>=1.0.0,<1.1.0',
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nightly='>=1.1.0.dev',
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default='>=1.2.0,<1.3.0',
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nightly='>=1.3.0.dev',
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git_master='@git+https://github.com/tensorflow/transform@master'),
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'tfx-bsl' + select_constraint(
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default='>=1.0.0,<1.1.0',
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nightly='>=1.1.0.dev',
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default='>=1.2.0,<1.3.0',
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nightly='>=1.3.0.dev',
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git_master='@git+https://github.com/tensorflow/tfx-bsl@master'),
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]
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"""Prepare extra packages needed for Kubeflow Pipelines orchestrator."""
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return [
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'kfp>=1.6.1,<2',
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'kfp-pipeline-spec>=0.1.7,<0.2',
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'kfp-pipeline-spec>=0.1.8,<0.2',
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def make_extra_packages_docker_image():
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# Packages needed for tfx docker image.
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return [
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'kfp-pipeline-spec>=0.1.7,<0.2',
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'kfp-pipeline-spec>=0.1.8,<0.2',
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'mmh>=2.2,<3',
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'python-snappy>=0.5,<0.6',
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# Required for tfx/examples/penguin/penguin_utils_cloud_tuner.py
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'tensorflow-ranking>=0.3.3,<0.4',
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'struct2tensor' + select_constraint(
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default='>=0.31,<0.32',
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nightly='>=0.32.0.dev',
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default='>=0.33,<0.34',
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nightly='>=0.34.0.dev',
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git_master='@git+https://github.com/google/struct2tensor@master'),
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]
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tfx/version.py

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"""Contains the version string of TFX."""
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__version__ = '1.1.0.dev'
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__version__ = '1.3.0.dev'

tfx/workspace.bzl

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name = "com_github_google_ml_metadata",
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repo = "google/ml-metadata",
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# LINT.IfChange
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tag = "v1.0.0",
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tag = "v1.2.0",
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# LINT.ThenChange(//tfx/dependencies.py)
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)

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