release: v1.8.0

[github-actions]

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

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[sagemaker-distribution-bot]

Staleness Report: 1.8.0(gpu)

Package	Current Version in the Distribution image	Latest Relevant Version in Upstream
numpy	1.26.4	1.26.4
jinja2	3.1.4	3.1.4
${\color{red}pandas}$	2.1.4	2.2.2
altair	5.3.0	5.3.0
${\color{red}boto3}$	1.34.51	1.34.100
ipython	8.22.2	8.22.2
jupyter-lsp	2.2.5	2.2.5
${\color{red}jupyterlab}$	4.1.6	4.2.0
amazon-codewhisperer-jupyterlab-ext	2.0.2	2.0.2
${\color{red}jupyter-scheduler}$	2.5.2	2.6.0
amazon-sagemaker-jupyter-scheduler	3.0.11	3.0.11
amazon-sagemaker-sql-magic	0.1.1	0.1.1
${\color{red}jupyterlab-lsp}$	5.0.3	5.1.0
amazon_sagemaker_sql_editor	0.1.7	0.1.7
${\color{red}scipy}$	1.11.4	1.13.0
scikit-learn	1.4.2	1.4.2
pip	23.3.2	23.3.2
${\color{red}torchvision}$	0.15.2	0.16.1
autogluon	0.8.3	0.8.3
ipywidgets	8.1.2	8.1.2
notebook	7.1.3	7.1.3
aws-glue-sessions	1.0.5	1.0.5
conda	23.11.0	23.11.0
${\color{red}fastapi}$	0.110.3	0.111.0
${\color{red}langchain}$	0.1.9	0.1.19
jupyter-ai	2.14.1	2.14.1
${\color{red}jupyter-collaboration}$	1.1.0	1.2.0
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	2.15.0	2.15.0
matplotlib	3.8.4	3.8.4
nodejs	18.20.2	18.20.2
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	1.11.0	1.11.0
${\color{red}pytorch-gpu}$	2.0.0	2.1.2
sagemaker-code-editor	1.1.0	1.1.0
sagemaker-headless-execution-driver	0.0.12	0.0.12
sagemaker-jupyterlab-emr-extension	0.1.9	0.1.9
sagemaker-jupyterlab-extension	0.3.2	0.3.2
sagemaker-kernel-wrapper	0.0.2	0.0.2
sagemaker-python-sdk	2.219.0	2.219.0
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	2.15.0	2.15.0
uvicorn	0.29.0	0.29.0

Staleness Report: 1.8.0(cpu)

Package	Current Version in the Distribution image	Latest Relevant Version in Upstream
numpy	1.26.4	1.26.4
jinja2	3.1.4	3.1.4
${\color{red}pytorch}$	2.0.0	2.1.2
${\color{red}pandas}$	2.1.4	2.2.2
altair	5.3.0	5.3.0
${\color{red}boto3}$	1.34.51	1.34.100
ipython	8.22.2	8.22.2
jupyter-lsp	2.2.5	2.2.5
${\color{red}jupyterlab}$	4.1.6	4.2.0
amazon-codewhisperer-jupyterlab-ext	2.0.2	2.0.2
${\color{red}jupyter-scheduler}$	2.5.2	2.6.0
amazon-sagemaker-jupyter-scheduler	3.0.11	3.0.11
amazon-sagemaker-sql-magic	0.1.1	0.1.1
${\color{red}jupyterlab-lsp}$	5.0.3	5.1.0
amazon_sagemaker_sql_editor	0.1.7	0.1.7
${\color{red}scipy}$	1.11.4	1.13.0
scikit-learn	1.4.2	1.4.2
pip	23.3.2	23.3.2
${\color{red}torchvision}$	0.15.2	0.16.1
autogluon	0.8.3	0.8.3
ipywidgets	8.1.2	8.1.2
notebook	7.1.3	7.1.3
aws-glue-sessions	1.0.5	1.0.5
conda	23.11.0	23.11.0
${\color{red}fastapi}$	0.110.3	0.111.0
${\color{red}langchain}$	0.1.9	0.1.19
jupyter-ai	2.14.1	2.14.1
${\color{red}jupyter-collaboration}$	1.1.0	1.2.0
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	2.15.0	2.15.0
matplotlib	3.8.4	3.8.4
nodejs	18.20.2	18.20.2
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	1.11.0	1.11.0
sagemaker-code-editor	1.1.0	1.1.0
sagemaker-headless-execution-driver	0.0.12	0.0.12
sagemaker-jupyterlab-emr-extension	0.1.9	0.1.9
sagemaker-jupyterlab-extension	0.3.2	0.3.2
sagemaker-kernel-wrapper	0.0.2	0.0.2
sagemaker-python-sdk	2.219.0	2.219.0
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	2.15.0	2.15.0
uvicorn	0.29.0	0.29.0

[sagemaker-distribution-bot]

AWS CodeBuild CI Report

• CodeBuild project: buildtestpublicimage1C7307A-9AzES2hf19lW
• Commit ID: 514222f
• Result: FAILED
• Build Logs (available for 30 days)

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

[TRNWWZ]

=========================== short test summary info ============================
FAILED test/test_dockerfile_based_harness.py::test_dockerfiles_for_gpu[keras.test.Dockerfile-required_packages0]
FAILED test/test_dockerfile_based_harness.py::test_dockerfiles_for_gpu[scipy.test.Dockerfile-required_packages4]
FAILED test/test_dockerfile_based_harness.py::test_dockerfiles_for_gpu[autogluon.test.Dockerfile-required_packages1]
FAILED test/test_dockerfile_based_harness.py::test_dockerfiles_for_gpu[sagemaker-studio-analytics-extension.test.Dockerfile-required_packages20]
FAILED test/test_dockerfile_based_harness.py::test_dockerfiles_for_gpu[pandas.test.Dockerfile-required_packages7]
FAILED test/test_dockerfile_based_harness.py::test_dockerfiles_for_gpu[sm-python-sdk.test.Dockerfile-required_packages8]
FAILED test/test_dockerfile_based_harness.py::test_dockerfiles_for_gpu[pytorch.examples.Dockerfile-required_packages9]
====== 7 failed, 17 passed, 2 skipped, 6 warnings in 19447.33s (5:24:07) =======

keras - new issue #413
scipy - failures documented #30
autogluon - local run succeed, transient issue
sagemaker-studio-analytics-extension - failures documented #315
pandas - single test failure is caused by a new deprecate in pyarrow, which is still used current version pandas
sm-python-sdk - failures documented #316
pytorch - local run succeed, transient issue

[claytonparnell]

We should look into why so many packages are stale

[TRNWWZ]

Staleness:

We should look into why so many packages are stale

Sanity checked several dependencies, most of them are caused by autogluon 0.8.3 version hard code some dependencies' version, remaining are caused by other different dependencies potential downgrading or removing.