v2.239.0

Features

• Add support for deepseek recipes

Bug Fixes and Other Changes

• mpirun protocol - distributed training with @Remote decorator
• Allow telemetry only in supported regions
• Fix ssh host policy

v2.238.0

Features

• use jumpstart deployment config image as default optimization image

Bug Fixes and Other Changes

• chore: add new images for HF TGI
• update image_uri_configs 01-29-2025 06:18:08 PST
• skip TF tests for unsupported versions
• Merge branch 'master-rba' into local_merge
• Add missing attributes to local resourceconfig
• update image_uri_configs 01-27-2025 06:18:13 PST
• update image_uri_configs 01-24-2025 06:18:11 PST
• add missing schema definition in docs
• Omegaconf upgrade
• SageMaker @Remote function: Added multi-node functionality
• remove option
• fix typo
• fix tests
• Add an option for user to remove inputs and container artifacts when using local model trainer

v2.237.3

Bug Fixes and Other Changes

• pin metadata-version to 2.3
• model server might have already done a serialization. honor that by not decoding the request again if it is not already bytes or bytestream
• Disable jumpstart tests missing clean up logic
• Jumpstart ap southeast 5
• add autogluon 1.2
• updated inference script to cover context
• security update -> use sha256 instead of md5 for file hashing
• Fix Flake8 Violations
• Added parsing string support for situations where custom code might be used (ie. mlflow)
• Updating Inference Optimization Validations

v2.237.2

Bug Fixes and Other Changes

• update image_uri_configs 12-13-2024 17:07:12 PST
• Cloudpickle upgrade

v2.237.1

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

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

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

prepare release v2.235.2

v2.235.1

Bug Fixes and Other Changes

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

v2.235.0

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