Releases
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…
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