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Releases: aws/sagemaker-python-sdk

v2.237.1

12 Dec 19:33
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Bug Fixes and Other Changes

  • chore: remove support for ecr spec fallbacks for jumpstart models
  • Cloudpickle Revert
  • Cloudpickle update
  • Numpy update
  • Protobuf update
  • Update to fetch latest Cloudpickle version

v2.237.0

05 Dec 03:00
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Features

  • Support SageMakerTrainingPlan for training jobs
  • AMI support for BRM
  • Adding Bedrock Store model support for HubService

Bug Fixes and Other Changes

  • Fix unit tests
  • update boto3 and sagemaker-core version
  • fix gpu_image uri
  • Hotfix to construct rubik uri correctly
  • fix codestyles
  • fix merge artifact
  • fix merge artifact
  • fix test_requiremenets.txt
  • chore: Merge from main

v2.236.0

04 Dec 15:50
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Features

  • Partner App Auth Provider for SDK support
  • add pre-processing and post-processing logic to inference_spec
  • add utility function to capture local snapshot
  • support script mode with local train.sh

Bug Fixes and Other Changes

  • Add graphene to doc requirements
  • Add graphne to the doc requirements
  • Enable the Recipe tests marked with @pytest.mark.skip(reason="Hyperpod recipe code unavailable"
  • Add model trainer documentation
  • Usage docs for training recipes
  • Neuron URIs update
  • Update URIs to public for training recipes
  • Changes for SMP v2.7.0
  • Change default source directory to current, add option to specify source dir
  • Remove default values for fields in recipe_overrides and fix recipe path.
  • Update MANIFEST.in so that wheel builds correctly
  • fix the file uploading signature verification error
  • remove example notebooks artifacts
  • Morpheus tests
  • Integ tests for local mode model trainer
  • Update hyperpod recipe uris
  • Add interface units for ModelTrainer
  • Model Trainer Bucket improvements
  • Update ModelTrainer Interface Parameters
  • add in-process mode definition to docs
  • Intelligent defaults for Model Trainer
  • Fix tests and codestyle
  • add integ test for base_model_builder_deploy and remove print statement
  • Revert image builder
  • pin xgboost dlc to 1.7.1 to fix test
  • Skip JS model mapping with env vars or image URI provided
  • Use sagemaker core Session
  • Integration tests for Model Builder Handshake
  • [Updated] Add telemetry to ModelTrainer, Estimator and ModelBuilder
  • Update kandinsky in ModelTrainer and allow setting requirements
  • add modelID support to model builder InProcess model
  • Add Rich Logging to Model Builder
  • Notebooks update for Bugbash
  • Add bugbash bootstrapping
  • add inference morpheus nbs
  • Update ModelTrainer Notebooks
  • Bug fixes
  • Single container local training
  • update notebooks
  • update notebooks
  • Add recipes examples
  • Unified Deployment interface in Model Builder
  • Use exact python path in trainer template
  • Support building image from Dockerfile
  • Add Support for Training Recipes
  • Trainer handshake
  • Pass hyperparameters as CLI args
  • Add in_process mode support for DJL and TorchServe servers
  • Remove ignored files
  • Simplify Config Class Names and DistributedRunner structures
  • Fix bug in script mode setup ModelTrainer
  • Mask Sensitive Env Logs in Container
  • Add path to set Additional Settings in ModelTrainer
  • Add Distributed Training Support Model Trainer
  • Cleanup ModelTrainer code
  • Latest Container Image
  • General image builder
  • Cleanup ModelTrainer
  • Revert Image Spec
  • Support intelligent parameters
  • Add enviornment variable bootstrapping script
  • Add example notebook
  • Add unit tests for ModelTrainer
  • Image Spec refactoring and updates
  • Base model trainer

v2.235.2

22 Nov 16:08
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prepare release v2.235.2

v2.235.1

20 Nov 19:40
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Bug Fixes and Other Changes

  • Update sagemaker-core dep
  • update image_uri_configs 11-20-2024 06:17:41 PST

v2.235.0

19 Nov 23:16
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Features

  • Optimize() validations across TRT, VLLM, Neuron container optimizations

Bug Fixes and Other Changes

  • update image_uri_configs 11-19-2024 06:17:58 PST

v2.234.0

19 Nov 07:39
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Features

  • optimization technique related validations.

Bug Fixes and Other Changes

  • Revert "change: add TGI 2.4.0 image uri (#4922)"
  • pin testing deps
  • add TGI 2.4.0 image uri
  • add jumpstart ap-southeast-5
  • Move sagemaker-mlflow to extras

v2.233.0

04 Nov 17:40
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Features

  • triton v24.09
  • Marketplace model support in HubService

Bug Fixes and Other Changes

  • Fixing JumpStart Tests
  • bumping smp version from 2.6.0 to 2.6.1
  • Updates for DJL 0.30.0 release

v2.232.3

30 Oct 04:51
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Bug Fixes and Other Changes

  • update image_uri_configs 10-29-2024 07:17:56 PST
  • Skip pytorch tests incompatible with latest version 2.4.0
  • adding eu-central-2 bucket info to JS constants
  • update image_uri_configs 10-23-2024 11:26:03 PST
  • update image_uri_configs 10-17-2024 07:17:55 PST
  • update image_uri_configs 10-03-2024 07:17:59 PST
  • update image_uri_configs 09-27-2024 07:18:01 PST
  • modified pull request template
  • fixing typo in dependecy setup
  • release: huggingface tgi neuronx 0.0.25 image
  • Revert "update cloudpickle version to >=2.2.1 in pyproject.toml (#4899)"
  • update cloudpickle version to >=2.2.1 in pyproject.toml
  • update cloudpickle version to >=2.2.1
  • chore(deps): bump pyspark from 3.3.1 to 3.3.2 in /requirements/extras
  • changes for PT 2.4 currency upgrade
  • chore: add lmi image config in me-central-1
  • tests: Implement integration tests covering JumpStart PrivateHub workflows
  • Use Miniforge to replace MambaForge

v2.232.2

03 Oct 22:43
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Bug Fixes and Other Changes

  • Pass kwargs to HuggingFaceModel.deploy()
  • improve logging and exception messages
  • remove deprecated distutils
  • update image_uri_configs 09-24-2024 07:18:00 PST