Add Pythonic SageMaker training and processing - #3459
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Expand the existing SageMaker plugin with async lifecycle support for training, processing, batch transform, hyperparameter tuning, and Inference Recommender jobs. Include typed task wrappers, stable projected outputs, idempotent retries, public documentation, and comprehensive unit tests without requiring Propeller changes. Signed-off-by: Rohit Sharma <rohitrsh@gmail.com>
Allow typed Flyte task functions to run directly inside single-node SageMaker Training and Processing jobs through rendered container entrypoints. Preserve Flyte outputs and error semantics, validate SageMaker runtime constraints, and document the ECR, IAM, S3, networking, and secret-management requirements. Signed-off-by: Rohit Sharma <rohitrsh@gmail.com>
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August 10, 2026 18:07
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August 10, 2026 18:08
Codecov Report❌ Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## master #3459 +/- ##
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- Coverage 80.15% 47.79% -32.37%
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Files 269 217 -52
Lines 25184 22943 -2241
Branches 3036 3036
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- Hits 20187 10966 -9221
- Misses 4177 11370 +7193
+ Partials 820 607 -213 ☔ View full report in Codecov by Harness. 🚀 New features to boost your workflow:
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Aug 10, 2026
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Summary
@taskfunctions inside SageMaker-managed containers.RETRYABLE_FAILEDas terminal for local connector execution and adds regression coverage.Stack order:
Test plan
Merge only after #3456. Before merge, rebase this branch onto upstream
master, rerun all local and hosted verification gates, and mark the PR ready for review.