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build_artifacts/v2/v2.0/v2.0.0/cpu.additional_packages_env.in
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| #Add any additional packages here | ||
| conda-forge::mlflow[version='>=2.13.0,<3.0'] |
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build_artifacts/v2/v2.0/v2.0.0/gpu.additional_packages_env.in
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| #Add any additional packages here | ||
| conda-forge::mlflow[version='>=2.13.2,<3.0'] |
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| ## Supported Image Versions | ||
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| The tables below list the supported SageMaker Distribution image versions. SageMaker will only release functionality and security fixes for images versions present in the tables. When you are building images or pulling images from the ECR repository, it is highly recommended for you to choose the supported image versions from the tables below. | ||
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| ### CPU Images | ||
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| | Image Major Version | Image Minor Version | ECR Image URI | | ||
| |---------------------|---------------------|-----------------------| | ||
| |1 |1.8 |public.ecr.aws/sagemaker/sagemaker-distribution:1.8-cpu | | ||
| |1 |1.7 |public.ecr.aws/sagemaker/sagemaker-distribution:1.7-cpu | | ||
| |1 |1.6 |public.ecr.aws/sagemaker/sagemaker-distribution:1.6-cpu | | ||
| |1 |1.5 |public.ecr.aws/sagemaker/sagemaker-distribution:1.5-cpu | | ||
| |1 |1.4 |public.ecr.aws/sagemaker/sagemaker-distribution:1.4-cpu | | ||
| |0 |0.12 |public.ecr.aws/sagemaker/sagemaker-distribution:0.12-cpu | | ||
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| ### GPU Images | ||
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| | Image Major Version | Image Minor Version | ECR Image URI | | ||
| |---------------------|---------------------|-----------------------| | ||
| |1 |1.8 |public.ecr.aws/sagemaker/sagemaker-distribution:1.8-gpu | | ||
| |1 |1.7 |public.ecr.aws/sagemaker/sagemaker-distribution:1.7-gpu | | ||
| |1 |1.6 |public.ecr.aws/sagemaker/sagemaker-distribution:1.6-gpu | | ||
| |1 |1.5 |public.ecr.aws/sagemaker/sagemaker-distribution:1.5-gpu | | ||
| |1 |1.4 |public.ecr.aws/sagemaker/sagemaker-distribution:1.4-gpu | | ||
| |0 |0.12 |public.ecr.aws/sagemaker/sagemaker-distribution:0.12-gpu | |
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| ARG SAGEMAKER_DISTRIBUTION_IMAGE | ||
| FROM $SAGEMAKER_DISTRIBUTION_IMAGE | ||
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| ARG MAMBA_DOCKERFILE_ACTIVATE=1 | ||
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| RUN python -c "import mlflow" | ||
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| RUN sudo apt-get update && sudo apt-get install -y git && \ | ||
| git clone --recursive https://github.com/mlflow/mlflow.git && \ | ||
| : | ||
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| WORKDIR "mlflow/" | ||
| COPY --chown=$MAMBA_USER:$MAMBA_USER scripts/run_mlflow_tests.sh . | ||
| RUN chmod +x run_mlflow_tests.sh | ||
| # Run tests in run_matplotlib_tests.sh | ||
| CMD ["./run_mlflow_tests.sh"] |
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| #!/bin/bash | ||
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| # Run examples for keras, pytorch, sklearn, tensorflow | ||
| cd examples | ||
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| # keras | ||
| cd keras/ | ||
| python train.py | ||
| cd - | ||
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| # pytorch | ||
| cd pytorch/ | ||
| python mnist_tensorboard_artifact.py | ||
| cd - | ||
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| # sklearn | ||
| for folder in "sklearn_autolog/" "sklearn_elasticnet_diabetes/linux/" "sklearn_elasticnet_wine/" "sklearn_logistic_regression/"; do | ||
| cd ${folder} | ||
| for file in *.py; do | ||
| python "$file" || exit $? | ||
| done | ||
| cd - | ||
| done | ||
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| # tensorflow | ||
| cd tensorflow/ | ||
| python train.py | ||
| cd - |
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