docs: add tensorflow 2.21 sagemaker training entries#6378
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Adds docs data YAMLs for the newly released TensorFlow 2.21 SageMaker training images (CPU and GPU), mirroring the shape of the existing tensorflow-training/2.19 entries (framework/version/accelerator/python/ cuda/os/platform/ga/eop/public_registry + 4 tags). Images covered: * 2.21.0 CPU py312 amzn2023 SageMaker training * 2.21.0 GPU py312 cu129 amzn2023 SageMaker training This is a manual docs-PR equivalent because the release workflow step4-docs-pr auto-skipped for tensorflow (not listed in .github/config/autocurrency-tracker.yml, see scripts/ci/autocurrency/docs-pr.sh:112). Registering tensorflow in the tracker is a separate follow-up.
sallyseok
approved these changes
Jul 10, 2026
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What
Adds two docs data YAMLs under
docs/src/data/tensorflow-training/for the newly released TensorFlow 2.21 SageMaker training images:docs/src/data/tensorflow-training/2.21-cpu-sagemaker.yml— 2.21.0 CPU py312 amzn2023docs/src/data/tensorflow-training/2.21-gpu-sagemaker.yml— 2.21.0 GPU py312 cu129 amzn2023Shape
Both files mirror the existing
docs/src/data/tensorflow-training/2.19-{cpu,gpu}-sagemaker.ymlshape exactly (same field ordering, same 4-tag format including bare-sagemakertags). Only the OS moves fromubuntu22.04(2.19) toamzn2023(2.21), matching.github/config/image/tensorflow/2.21-sagemaker-{cpu,cuda}.yml.Fields:
framework,version,accelerator,python,cuda(GPU only),os,platform,ga,eop,public_registry,tags.Dated immutable tags (e.g.
...-v1.0-YYYY-MM-DD-HH-MM-SS) are intentionally omitted — the existing 2.19 entries do not include them, so this mirrors precedent.dlc_major_versionbare tags like2.21-cpu-py312-sagemaker-v1.0are also omitted per 2.19 precedent (only the-v1short form is listed).