Bump sagemaker from 2.244.0 to 2.256.0 in /3_distributed_training/reinforcement-learning/grpo/trl/torchrun/fsdp/scripts#181
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Bumps [sagemaker](https://github.com/aws/sagemaker-python-sdk) from 2.244.0 to 2.256.0. - [Release notes](https://github.com/aws/sagemaker-python-sdk/releases) - [Changelog](https://github.com/aws/sagemaker-python-sdk/blob/v2.256.0/CHANGELOG.md) - [Commits](aws/sagemaker-python-sdk@v2.244.0...v2.256.0) --- updated-dependencies: - dependency-name: sagemaker dependency-version: 2.256.0 dependency-type: direct:production ... Signed-off-by: dependabot[bot] <support@github.com>
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Bumps sagemaker from 2.244.0 to 2.256.0.
Release notes
Sourced from sagemaker's releases.
... (truncated)
Changelog
Sourced from sagemaker's changelog.
... (truncated)
Commits
a140cfcUpdate changelog and version files (#5469)501dbf8Removing pinned version of numpy (#5465)4d922b2Add input validation and resource management improvements (#5417)b7c21a5fix: Update telemetry constants to track v2 feature seperately (#5437)0ed6e45Temporarily pin numpy version to <2.0 for hf tests (#5453)1481489use value on enum (#5444)23a8b36Update OutputDataConfig documentation to avoid customer confusion708c7b2Bug fix for hmac key (#5348)c9966d2Feature: Add XGBoost 3.0-5 to v2 (#5406)c0b4e0aFix pr check action (#5398)Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
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