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Revert previous fixes and upgrade TFX stack to 1.21.0 #39164
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Revert "Bump google-cloud-aiplatform (#39113)"
shunping ebb1a92
Revert "Fix pip ResolutionTooDeep (#39017)"
shunping 660e959
Upgrade TFX stack to 1.21.0
shunping 0c9f00c
Remove constraints on pyarrow
shunping 6e22eb0
Remove bounds for tensorflow
shunping 35326af
Do not skip tensorflow-transform
shunping 21bcb12
Exclude two tests from tft setting
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,4 +1,4 @@ | ||
| { | ||
| "comment": "Modify this file in a trivial way to cause this test suite to run.", | ||
| "modification": 5 | ||
| "modification": 3 | ||
| } |
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42 changes: 0 additions & 42 deletions
42
sdks/python/apache_beam/testing/benchmarks/cloudml/constraints.txt
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Leaving core dependencies like
tensorflow,numpy,pyarrow,tensorflow-serving-api, andtf-kerascompletely unpinned or without version bounds can lead to non-reproducible environments and unexpected CI failures when new major/minor versions of these packages are released. Sincetfx-bsl,tensorflow-transform, andtensorflow-metadataare pinned to1.21.0, it is highly recommended to specify compatible version ranges or exact pins for their underlying dependencies (e.g., matching the TensorFlow and NumPy versions compatible with TFX 1.21.0) to ensure stability.