v2.229.0

Features

• Support for ModelBuilder In_Process Mode (1/2)
• Pulling in dependencies (in_process mode) using conda environment
• Add optional CodeArtifact login to FrameworkProcessing job script
• implemented security-monitoring to send metrics to CW #1510

Bug Fixes and Other Changes

• alt configs model deployment and training issues
• fix keras extension in integ test
• update image_uri_configs 08-13-2024 07:17:54 PST
• trn1 instance family does not support volume size
• Update model.py
• removed log statement
• update image_uri_configs 08-09-2024 07:18:00 PST
• Added torchrun compatibility for distributet training across multiple GPUs in a single node (single instance)
• BiasConfig type hint
• add model monitor image accounts for ap-southeast-5 and eu-central-2
• aligned UTC times with PST
• ensure hpt jobs inherit tags from config
• add JumpStart PDT and OSU regions
• chore(deps): bump certifi in /src/sagemaker/serve/utils
• Updates for DJL 0.29.0 release
• chore(deps): bump apache-airflow from 2.9.2 to 2.9.3 in /requirements/extras
• chore(deps): bump torch from 2.0.1 to 2.2.0 in /tests/data/serve_resources/mlflow/pytorch
• avoided printing stack trace and escaped input
• removing kwargs as this is breaking predictor_cls param for mode…