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Releases: aws/sagemaker-python-sdk

v2.183.0

05 Sep 17:20
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Deprecations and Removals

  • remove support for py37

Features

  • Neo service GA in TLV

Bug Fixes and Other Changes

  • Update pytorch.json with 2.0.1 for inference and training
  • get python version dynamically for remote function tests
  • HuggingFaceProcessor parameterized instance_type when image_uri is absent

v2.182.0

29 Aug 17:11
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Features

  • image url for modelmonitor in TLV region
  • Enable spot training on remote decorator and executor

v2.181.0

28 Aug 17:11
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Features

  • StabilityAI DLC Image URIs

Bug Fixes and Other Changes

  • temporarily skip kmeans notebook

v2.180.0

24 Aug 18:21
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Features

  • Add presigned URLs for interactive apps
  • Add detail profiler V2 options and tests

v2.179.0

21 Aug 21:23
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Features

  • attach method for jumpstart estimator

Bug Fixes and Other Changes

  • pipeline upsert failed to pass parallelism_config to update

v2.178.0

17 Aug 21:31
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Features

  • Support to get latest monitoring execution processing logs

Bug Fixes and Other Changes

  • Add context to predict_fn example
  • gated models unsupported region
  • jumpstart cache using sagemaker session s3 client
  • add TFS 2.13 Graviton SM images
  • pipeline variable kms key
  • integration test for gated jumpstart training model
  • tags for jumpstart model package models

v2.177.1

14 Aug 17:08
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Bug Fixes and Other Changes

  • chore: excessive jumpstart bucket logging

v2.177.0

11 Aug 06:15
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Features

  • Add TLV accounts for 1P Algorithms

v2.176.0

10 Aug 20:25
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Features

  • Add TF 2.13 Training and Inference SM images

Bug Fixes and Other Changes

  • revert-PR_3903
  • skip tensorflow local mode notebook test
  • change instance type for huggingface test to ml.g5.8xlarge

v2.175.0

05 Aug 02:04
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Features

  • Add huggingface-llm 0.9.3 dlc images

Bug Fixes and Other Changes

  • Upgrade default version for djl to v0.23.0
  • Pass kms_key to _upload_analysis_config when provided