release: v1.11.0

[github-actions]

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

• Review changelog/staleness report.
• (Only for Minor/Major version releases) Review python package dependency and size report.
• Review build/test results by clicking Build Logs in CI Report (be patient, tests take ~4hr).
• Review ECR Scan results.

[sagemaker-distribution-bot]

Staleness Report: 1.11.0(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
altair	5.4.1	5.4.1
${\color{red}boto3}$	1.34.162	1.35.20
ipython	8.27.0	8.27.0
jupyter-lsp	2.2.5	2.2.5
${\color{red}jupyterlab}$	4.1.6	4.2.5
amazon-q-developer-jupyterlab-ext	3.2.0	3.2.0
${\color{red}langchain}$	0.2.5	0.3.0
jupyter-ai	2.23.0	2.23.0
amazon-sagemaker-jupyter-ai-q-developer	1.0.9	1.0.9
${\color{red}jupyter-scheduler}$	2.7.1	2.8.0
amazon-sagemaker-jupyter-scheduler	3.1.5	3.1.5
${\color{red}pandas}$	2.1.4	2.2.2
amazon-sagemaker-sql-magic	0.1.3	0.1.3
${\color{red}jupyterlab-lsp}$	5.0.3	5.1.0
amazon_sagemaker_sql_editor	0.1.11	0.1.11
${\color{red}scipy}$	1.11.4	1.14.1
${\color{red}scikit-learn}$	1.4.2	1.5.2
pip	23.3.2	23.3.2
${\color{red}torchvision}$	0.15.2	0.19.0
autogluon	0.8.3	0.8.3
ipywidgets	8.1.5	8.1.5
${\color{red}notebook}$	7.1.3	7.2.2
aws-glue-sessions	1.0.7	1.0.7
conda	23.11.0	23.11.0
${\color{red}fastapi}$	0.110.3	0.114.2
${\color{red}jupyter-collaboration}$	1.1.0	1.2.0
jupyter-dash	0.4.2	0.4.2
jupyter-server-proxy	4.4.0	4.4.0
jupyterlab-git	0.50.1	0.50.1
${\color{red}keras}$	2.14.0	2.15.0
langchain-aws	0.1.18	0.1.18
matplotlib	3.9.2	3.9.2
nodejs	18.20.3	18.20.3
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	1.12.0	1.12.0
${\color{red}pytorch-gpu}$	2.0.0	2.4.0
${\color{red}sagemaker-code-editor}$	1.1.0	1.3.2
sagemaker-headless-execution-driver	0.0.13	0.0.13
sagemaker-jupyterlab-emr-extension	0.3.3	0.3.3
sagemaker-jupyterlab-extension	0.3.2	0.3.2
sagemaker-kernel-wrapper	0.0.4	0.0.4
sagemaker-python-sdk	2.227.0	2.227.0
sagemaker-studio-analytics-extension	0.1.2	0.1.2
sasl	0.3.1	0.3.1
supervisor	4.2.5	4.2.5
${\color{red}tensorflow-gpu}$	2.14.0	2.17.0
uvicorn	0.30.6	0.30.6

Staleness Report: 1.11.0(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	2.4.0
altair	5.4.1	5.4.1
${\color{red}boto3}$	1.34.162	1.35.20
ipython	8.27.0	8.27.0
jupyter-lsp	2.2.5	2.2.5
${\color{red}jupyterlab}$	4.1.6	4.2.5
amazon-q-developer-jupyterlab-ext	3.2.0	3.2.0
${\color{red}langchain}$	0.2.5	0.3.0
jupyter-ai	2.23.0	2.23.0
amazon-sagemaker-jupyter-ai-q-developer	1.0.9	1.0.9
${\color{red}jupyter-scheduler}$	2.7.1	2.8.0
amazon-sagemaker-jupyter-scheduler	3.1.5	3.1.5
${\color{red}pandas}$	2.1.4	2.2.2
amazon-sagemaker-sql-magic	0.1.3	0.1.3
${\color{red}jupyterlab-lsp}$	5.0.3	5.1.0
amazon_sagemaker_sql_editor	0.1.11	0.1.11
${\color{red}scipy}$	1.11.4	1.14.1
${\color{red}scikit-learn}$	1.4.2	1.5.2
pip	23.3.2	23.3.2
${\color{red}torchvision}$	0.15.2	0.19.0
autogluon	0.8.3	0.8.3
ipywidgets	8.1.5	8.1.5
${\color{red}notebook}$	7.1.3	7.2.2
aws-glue-sessions	1.0.7	1.0.7
conda	23.11.0	23.11.0
${\color{red}fastapi}$	0.110.3	0.114.2
${\color{red}jupyter-collaboration}$	1.1.0	1.2.0
jupyter-dash	0.4.2	0.4.2
jupyter-server-proxy	4.4.0	4.4.0
jupyterlab-git	0.50.1	0.50.1
keras	2.15.0	2.15.0
langchain-aws	0.1.18	0.1.18
matplotlib	3.9.2	3.9.2
nodejs	18.20.3	18.20.3
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	1.12.0	1.12.0
${\color{red}sagemaker-code-editor}$	1.1.0	1.3.2
sagemaker-headless-execution-driver	0.0.13	0.0.13
sagemaker-jupyterlab-emr-extension	0.3.3	0.3.3
sagemaker-jupyterlab-extension	0.3.2	0.3.2
sagemaker-kernel-wrapper	0.0.4	0.0.4
sagemaker-python-sdk	2.227.0	2.227.0
sagemaker-studio-analytics-extension	0.1.2	0.1.2
sasl	0.3.1	0.3.1
supervisor	4.2.5	4.2.5
${\color{red}tensorflow}$	2.15.0	2.17.0
uvicorn	0.30.6	0.30.6

[sagemaker-distribution-bot]

Python Package Size Report (GPU)

Target Image Version: 1.11.0 | Base Image Version: 1.10.1

Python Packages Total Size Summary

Target Version Total Size	Base Version Total Size	Size Change (abs)	Size Change (%)
3.47GB	3.47GB	-20.83KB	-0.0

Top-20 Largest Python Packages

Package	Version in the Target Image	Size
cudatoolkit	11.8.0	682.45MB
tensorflow-base	2.14.0	513.71MB
cudnn	8.9.7.29	443.90MB
pytorch	2.0.0	403.50MB
mkl	2022.2.1	201.46MB
libmagma	2.7.1	201.22MB
nccl	2.22.3.1	124.94MB
libxgboost	1.7.6	99.28MB
llvm-openmp	18.1.8	55.77MB
catboost	1.2.7	45.27MB
qt6-main	6.7.2	44.84MB
libgoogle-cloud	2.12.0	43.43MB
pillow	10.4.0	40.77MB
sagemaker-code-editor	1.1.0	39.16MB
libllvm18	18.1.8	36.46MB
libllvm14	14.0.6	30.03MB
libarrow	12.0.1	26.43MB
python	3.10.14	24.34MB
pandoc	3.4	20.03MB
libclang-cpp18.1	18.1.8	18.29MB

Python Package Size Delta

The total size of newly introduced Python packages is 96.40KB, accounts for 0.0% of the total package size.

Package	Version in the Target Image	Version in the Base Image	Size Change (abs)	Size Change (%)
narwhals	1.8.1	-	96.40KB	-
statsmodels	0.14.3	0.14.2	30.96KB	0.29
altair	5.4.1	5.3.0	25.42KB	5.95
jupyter-ai	2.23.0	2.20.0	2.26KB	0.31
langsmith	0.1.121	0.1.120	875.00B	0.35
jupyter-server-proxy	4.4.0	4.3.0	833.00B	2.31
jupyter-ai-magics	2.23.0	2.20.0	818.00B	2.46
langchain-core	0.2.40	0.2.39	647.00B	0.25
idna	3.10	3.8	562.00B	1.14
langchain-text-splitters	0.2.4	0.2.2	183.00B	0.69
flake8	7.1.1	7.0.0	171.00B	0.15
python-lsp-server-base	1.12.0	1.11.0	92.00B	0.15
platformdirs	4.3.3	4.3.2	-45.00B	-0.22
pycodestyle	2.12.1	2.11.1	-103.00B	-0.3
python-lsp-server	1.12.0	1.11.0	-120.00B	-1.67
fastcore	1.7.8	1.7.5	-121.00B	-0.17
ipython	8.27.0	8.26.0	-401.00B	-0.07
dash	2.18.1	2.18.0	-179.15KB	-3.36

Python Package Size Report (CPU)

Target Image Version: 1.11.0 | Base Image Version: 1.10.1

Python Packages Total Size Summary

Target Version Total Size	Base Version Total Size	Size Change (abs)	Size Change (%)
1.27GB	1.27GB	-20.83KB	-0.0

Top-20 Largest Python Packages

Package	Version in the Target Image	Size
mkl	2022.2.1	201.46MB
tensorflow-base	2.15.0	136.50MB
pytorch	2.0.0	66.99MB
llvm-openmp	18.1.8	55.77MB
catboost	1.2.7	45.27MB
qt6-main	6.7.2	44.84MB
libgoogle-cloud	2.12.0	41.48MB
pillow	10.4.0	40.77MB
sagemaker-code-editor	1.1.0	39.16MB
libllvm18	18.1.8	36.46MB
libllvm15	15.0.7	31.78MB
libllvm14	14.0.6	30.03MB
python	3.10.14	24.34MB
libarrow	15.0.0	21.99MB
pandoc	3.4	20.03MB
libclang-cpp18.1	18.1.8	18.29MB
amazon_sagemaker_sql_editor	0.1.11	17.26MB
nodejs	18.20.3	14.82MB
scipy	1.11.4	14.55MB
pandas	2.1.4	11.84MB

Python Package Size Delta

The total size of newly introduced Python packages is 96.40KB, accounts for 0.01% of the total package size.

Package	Version in the Target Image	Version in the Base Image	Size Change (abs)	Size Change (%)
narwhals	1.8.1	-	96.40KB	-
statsmodels	0.14.3	0.14.2	30.96KB	0.29
altair	5.4.1	5.3.0	25.42KB	5.95
jupyter-ai	2.23.0	2.20.0	2.26KB	0.31
langsmith	0.1.121	0.1.120	875.00B	0.35
jupyter-server-proxy	4.4.0	4.3.0	833.00B	2.31
jupyter-ai-magics	2.23.0	2.20.0	818.00B	2.46
langchain-core	0.2.40	0.2.39	647.00B	0.25
idna	3.10	3.8	562.00B	1.14
langchain-text-splitters	0.2.4	0.2.2	183.00B	0.69
flake8	7.1.1	7.0.0	171.00B	0.15
python-lsp-server-base	1.12.0	1.11.0	92.00B	0.15
platformdirs	4.3.3	4.3.2	-45.00B	-0.22
pycodestyle	2.12.1	2.11.1	-103.00B	-0.3
python-lsp-server	1.12.0	1.11.0	-120.00B	-1.67
fastcore	1.7.8	1.7.5	-121.00B	-0.17
ipython	8.27.0	8.26.0	-401.00B	-0.07
dash	2.18.1	2.18.0	-179.15KB	-3.36

[sagemaker-distribution-bot]

AWS CodeBuild CI Report

• CodeBuild project: CosmosImageBuildersagemaker-U5omrjiHQCoa
• Commit ID: a4b5fef
• Result: FAILED
• Build Logs (available for 30 days)

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

[TRNWWZ]

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_packages5]
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_packages21]
FAILED test/test_dockerfile_based_harness.py::test_dockerfiles_for_gpu[gpu-dependencies.test.Dockerfile-required_packages31]
FAILED test/test_dockerfile_based_harness.py::test_dockerfiles_for_gpu[pandas.test.Dockerfile-required_packages8]
FAILED test/test_dockerfile_based_harness.py::test_dockerfiles_for_gpu[sm-python-sdk.test.Dockerfile-required_packages9]
FAILED test/test_dockerfile_based_harness.py::test_dockerfiles_for_gpu[pytorch.examples.Dockerfile-required_packages10]

(Rerun locally)

• keras - Single test fails with AttributeError: 'CustomLayer' object has no attribute '_build_input_shape'. Issue with test, not installation
• scipy - Fix Scipy tests for GPU based docker images #30
• pandas - single test faied with E matplotlib._api.deprecation.MatplotlibDeprecationWarning: The plot_date function was deprecated in Matplotlib 3.9 and will be removed in 3.11. Use plot instead. - should be warning, test is using deprecated function
• sagemaker-studio-analytics-extension - test passed locally, see NoCredentialsError: Unable to locate credentials in CodeBuild execution.
• gpu-dependencies - Unit tests were executed in CPU environment so it failed, test pass when execute test script in container running on GPU instance
• sm-python-sdk - sm-python-sdk test failures #316
• pytorch - passed when running tests in local container directly, failure was caused by dependencies conflict when installing some , but not impacting functionality.
• autogluon - Memory leak issue in Multi-model unite test.

---