release: v1.6.2

[github-actions]

This pull request was created by GitHub Actions/AWS CodeBuild! Before merging, please do the following:

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• Review build/test results by clicking Build Logs in CI Report (be patient, tests take ~4hr).
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[sagemaker-distribution-bot]

Staleness Report: 1.6.2(gpu)

Package	Current Version in the Distribution image	Latest Relevant Version in Upstream
numpy	1.26.4	1.26.4
jinja2	3.1.3	3.1.3
pandas	2.1.4	2.1.4
altair	5.2.0	5.2.0
${\color{red}boto3}$	1.34.51	1.34.70
ipython	8.22.2	8.22.2
jupyter-lsp	2.2.4	2.2.4
jupyterlab	4.1.5	4.1.5
amazon-codewhisperer-jupyterlab-ext	2.0.1	2.0.1
jupyter-scheduler	2.5.1	2.5.1
amazon-sagemaker-jupyter-scheduler	3.0.7	3.0.7
amazon-sagemaker-sql-magic	0.1.1	0.1.1
jupyterlab-lsp	5.0.3	5.0.3
amazon_sagemaker_sql_editor	0.1.4	0.1.4
scipy	1.11.4	1.11.4
scikit-learn	1.4.1.post1	1.4.1.post1
pip	23.3.2	23.3.2
torchvision	0.15.2	0.15.2
autogluon	0.8.2	0.8.2
ipywidgets	8.1.2	8.1.2
notebook	7.1.2	7.1.2
aws-glue-sessions	1.0.4	1.0.4
conda	23.11.0	23.11.0
fastapi	0.103.2	0.103.2
${\color{red}langchain}$	0.1.9	0.1.13
jupyter-ai	2.11.0	2.11.0
jupyter-dash	0.4.2	0.4.2
jupyter-server-proxy	4.1.2	4.1.2
jupyterlab-git	0.50.0	0.50.0
keras	2.12.0	2.12.0
matplotlib	3.8.3	3.8.3
nodejs	18.19.0	18.19.0
py-xgboost-gpu	1.7.6	1.7.6
thrift_sasl	0.4.3	0.4.3
pyhive	0.7.0	0.7.0
python-gssapi	1.8.3	1.8.3
python-lsp-server	1.10.1	1.10.1
pytorch-gpu	2.0.0	2.0.0
sagemaker-code-editor	1.0.0	1.0.0
sagemaker-headless-execution-driver	0.0.12	0.0.12
sagemaker-jupyterlab-emr-extension	0.1.9	0.1.9
sagemaker-jupyterlab-extension	0.2.0	0.2.0
sagemaker-kernel-wrapper	0.0.2	0.0.2
sagemaker-python-sdk	2.212.0	2.212.0
sagemaker-studio-analytics-extension	0.0.21	0.0.21
sasl	0.3.1	0.3.1
supervisor	4.2.5	4.2.5
tensorflow	2.12.1	2.12.1
uvicorn	0.28.1	0.28.1

Staleness Report: 1.6.2(cpu)

Package	Current Version in the Distribution image	Latest Relevant Version in Upstream
numpy	1.26.4	1.26.4
jinja2	3.1.3	3.1.3
pytorch	2.0.0	2.0.0
pandas	2.1.4	2.1.4
altair	5.2.0	5.2.0
${\color{red}boto3}$	1.34.51	1.34.70
ipython	8.22.2	8.22.2
jupyter-lsp	2.2.4	2.2.4
jupyterlab	4.1.5	4.1.5
amazon-codewhisperer-jupyterlab-ext	2.0.1	2.0.1
jupyter-scheduler	2.5.1	2.5.1
amazon-sagemaker-jupyter-scheduler	3.0.7	3.0.7
amazon-sagemaker-sql-magic	0.1.1	0.1.1
jupyterlab-lsp	5.0.3	5.0.3
amazon_sagemaker_sql_editor	0.1.4	0.1.4
scipy	1.11.4	1.11.4
scikit-learn	1.4.1.post1	1.4.1.post1
pip	23.3.2	23.3.2
torchvision	0.15.2	0.15.2
autogluon	0.8.2	0.8.2
ipywidgets	8.1.2	8.1.2
notebook	7.1.2	7.1.2
aws-glue-sessions	1.0.4	1.0.4
conda	23.11.0	23.11.0
fastapi	0.103.2	0.103.2
${\color{red}langchain}$	0.1.9	0.1.13
jupyter-ai	2.11.0	2.11.0
jupyter-dash	0.4.2	0.4.2
jupyter-server-proxy	4.1.2	4.1.2
jupyterlab-git	0.50.0	0.50.0
keras	2.12.0	2.12.0
matplotlib	3.8.3	3.8.3
nodejs	18.19.0	18.19.0
py-xgboost-cpu	1.7.6	1.7.6
thrift_sasl	0.4.3	0.4.3
pyhive	0.7.0	0.7.0
python-gssapi	1.8.3	1.8.3
python-lsp-server	1.10.1	1.10.1
sagemaker-code-editor	1.0.0	1.0.0
sagemaker-headless-execution-driver	0.0.12	0.0.12
sagemaker-jupyterlab-emr-extension	0.1.9	0.1.9
sagemaker-jupyterlab-extension	0.2.0	0.2.0
sagemaker-kernel-wrapper	0.0.2	0.0.2
sagemaker-python-sdk	2.212.0	2.212.0
sagemaker-studio-analytics-extension	0.0.21	0.0.21
sasl	0.3.1	0.3.1
supervisor	4.2.5	4.2.5
tensorflow	2.12.1	2.12.1
uvicorn	0.28.1	0.28.1

[sagemaker-distribution-bot]

AWS CodeBuild CI Report

• CodeBuild project: buildtestpublicimage1C7307A-9AzES2hf19lW
• Commit ID: a80f053
• Result: FAILED
• Build Logs (available for 30 days)

Powered by github-codebuild-logs, available on the AWS Serverless Application Repository

[claytonparnell]

Test failures:

• sm-python-sdk - documented in sm-python-sdk test failures #316 , fail due to either no boto credentials or no docker daemon
• sagemaker-studio-analytics-extension - sagemaker-studio-analytics-extension tests require aws credentials #315 , NoCredentialsError
• scipy - same failures documented here Fix Scipy tests for GPU based docker images #30 (comment)

There was also initially a failure for autogluon related to shm size (ERROR: Unexpected bus error encountered in worker. This might be caused by insufficient shared memory (shm).) even after we increased shmsize for tests, and on retry it succeeded. This is flaky and needs more investigation.

[nikhilumeshsargur]

approving the release