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feature: update TF framework version support #2223
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@@ -59,7 +59,7 @@ | |||
"local_gpu", | |||
) | |||
SM_DATAPARALLEL_SUPPORTED_FRAMEWORK_VERSIONS = { | |||
"tensorflow": ["2.3.0", "2.3.1", "2.4.1"], | |||
"tensorflow": ["2.3.1", "2.3.2", "2.4.1"], |
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Is this removing 2.3.0 as a valid version?
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Correct. TF 2.3.0 images are not usable with SM DataParallel
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* feature: update TF framework version support * Update 1.15 inference * Correct python versions * Fix test parametrization * Fix parametrization for major.minor versioning Co-authored-by: Ajay Karpur <[email protected]> Co-authored-by: Ahsan Khan <[email protected]>
Issue #, if available:
Description of changes:
Updated the latest framework versions for TensorFlow on Estimators and Models
Testing done:
All tests pass on py36 env when running
tox tests/unit
Merge Checklist
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Tests
unique_name_from_base
to create resource names in integ tests (if appropriate)By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.