release: v0.13.0

[github-actions]

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[sagemaker-distribution-bot]

Staleness Report: 0.13.0(gpu)

Package	Current Version in the Distribution image	Latest Relevant Version in Upstream
${\color{red}ipython}$	8.12.2	8.22.2
jinja2	3.1.3	3.1.3
ipywidgets	7.8.0	7.8.0
${\color{red}numpy}$	1.24.4	1.26.4
${\color{red}pandas}$	2.0.3	2.2.2
boto3	1.34.98	1.34.98
aws-glue-sessions	1.0.5	1.0.5
conda	23.11.0	23.11.0
jupyterlab	3.6.7	3.6.7
${\color{red}keras}$	2.13.1	2.15.0
${\color{red}matplotlib}$	3.7.3	3.8.4
pip	23.3.2	23.3.2
${\color{red}scipy}$	1.10.1	1.13.0
${\color{red}scikit-learn}$	1.3.2	1.4.2
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
${\color{red}pytorch-gpu}$	2.0.0	2.1.2
sagemaker-headless-execution-driver	0.0.12	0.0.12
sagemaker-kernel-wrapper	0.0.2	0.0.2
sagemaker-python-sdk	2.218.1	2.218.1
sagemaker-studio-analytics-extension	0.0.21	0.0.21
sasl	0.3.1	0.3.1
${\color{red}tensorflow}$	2.13.1	2.15.0
${\color{red}torchvision}$	0.15.2	0.16.1

Staleness Report: 0.13.0(cpu)

Package	Current Version in the Distribution image	Latest Relevant Version in Upstream
${\color{red}ipython}$	8.12.2	8.22.2
jinja2	3.1.3	3.1.3
ipywidgets	7.8.0	7.8.0
${\color{red}numpy}$	1.24.4	1.26.4
${\color{red}pandas}$	2.0.3	2.2.2
boto3	1.34.98	1.34.98
aws-glue-sessions	1.0.5	1.0.5
conda	23.11.0	23.11.0
jupyterlab	3.6.7	3.6.7
${\color{red}keras}$	2.13.1	2.15.0
${\color{red}matplotlib}$	3.7.3	3.8.4
pip	23.3.2	23.3.2
${\color{red}scipy}$	1.10.1	1.13.0
${\color{red}scikit-learn}$	1.3.2	1.4.2
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
${\color{red}pytorch}$	2.0.0	2.1.2
sagemaker-headless-execution-driver	0.0.12	0.0.12
sagemaker-kernel-wrapper	0.0.2	0.0.2
sagemaker-python-sdk	2.218.1	2.218.1
sagemaker-studio-analytics-extension	0.0.21	0.0.21
sasl	0.3.1	0.3.1
${\color{red}tensorflow}$	2.13.1	2.15.0
${\color{red}torchvision}$	0.15.2	0.16.1

[sagemaker-distribution-bot]

AWS CodeBuild CI Report

• CodeBuild project: buildtestpublicimage1C7307A-9AzES2hf19lW
• Commit ID: 4ab51b2
• 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[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]
====== 6 failed, 7 passed, 13 skipped, 6 warnings in 18020.18s (5:00:20) =======

[sagemaker-distribution-bot]

Staleness Report: 0.13.0(gpu)

Package	Current Version in the Distribution image	Latest Relevant Version in Upstream
${\color{red}ipython}$	8.12.2	8.24.0
jinja2	3.1.4	3.1.4
ipywidgets	7.8.0	7.8.0
${\color{red}numpy}$	1.24.4	1.26.4
${\color{red}pandas}$	2.0.3	2.2.2
${\color{red}boto3}$	1.34.101	1.34.102
aws-glue-sessions	1.0.5	1.0.5
conda	23.11.0	23.11.0
jupyterlab	3.6.7	3.6.7
${\color{red}keras}$	2.13.1	2.15.0
${\color{red}matplotlib}$	3.7.3	3.8.4
pip	23.3.2	23.3.2
${\color{red}scipy}$	1.10.1	1.13.0
${\color{red}scikit-learn}$	1.3.2	1.4.2
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
${\color{red}pytorch-gpu}$	2.0.0	2.1.2
sagemaker-headless-execution-driver	0.0.12	0.0.12
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
${\color{red}tensorflow}$	2.13.1	2.15.0
${\color{red}torchvision}$	0.15.2	0.16.1

Staleness Report: 0.13.0(cpu)

Package	Current Version in the Distribution image	Latest Relevant Version in Upstream
${\color{red}ipython}$	8.12.2	8.24.0
jinja2	3.1.4	3.1.4
ipywidgets	7.8.0	7.8.0
${\color{red}numpy}$	1.24.4	1.26.4
${\color{red}pandas}$	2.0.3	2.2.2
${\color{red}boto3}$	1.34.101	1.34.102
aws-glue-sessions	1.0.5	1.0.5
conda	23.11.0	23.11.0
jupyterlab	3.6.7	3.6.7
${\color{red}keras}$	2.13.1	2.15.0
${\color{red}matplotlib}$	3.7.3	3.8.4
pip	23.3.2	23.3.2
${\color{red}scipy}$	1.10.1	1.13.0
${\color{red}scikit-learn}$	1.3.2	1.4.2
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
${\color{red}pytorch}$	2.0.0	2.1.2
sagemaker-headless-execution-driver	0.0.12	0.0.12
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
${\color{red}tensorflow}$	2.13.1	2.15.0
${\color{red}torchvision}$	0.15.2	0.16.1

[sagemaker-distribution-bot]

AWS CodeBuild CI Report

• CodeBuild project: buildtestpublicimage1C7307A-9AzES2hf19lW
• Commit ID: 013239a
• 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[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]
====== 6 failed, 7 passed, 13 skipped, 6 warnings in 18038.08s (5:00:38) =======

keras - error Failed to load in-memory CUBIN (compiled for a different GPU?).: CUDA_ERROR_INVALID_IMAGE: device kernel image is invalid, verified v0.12.0 having same issue, as this version is not external and nothing new breaking, this failure is fine. We should deprecate V0 version everywhere asap.

scipy - failures documented #30
sagemaker-studio-analytics-extension - failures documented #315
pandas - single test failure, which is fixed in newer version: pandas-dev/pandas#54709
sm-python-sdk - failures documented #316
pytorch - local run succeed, transient issue

[claytonparnell]

Confirmed the keras test failure is not related to the image itself but the version of cuda-nvcc installed in test. Need to update test to install correct version (matching CUDA 11.8 on the image), as well as install additional jax dependency.