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hkotesova
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Upgrade automl images to use py310 (#4642)
* Upgrade automl images to use py310 * add new line between pip install and package list * Revert "add new line between pip install and package list" This reverts commit c0eb944. * update to fetch latest mlflow_score_script * update * install numpy prior to installing torch --------- Co-authored-by: hkotesova <[email protected]>
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‎assets/training/automl/environments/ai-ml-automl-dnn-forecasting-gpu/context/Dockerfile‎

Lines changed: 8 additions & 8 deletions
Original file line numberDiff line numberDiff line change
@@ -1,10 +1,10 @@
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FROM mcr.microsoft.com/azureml/openmpi5.0-cuda12.4-ubuntu22.04:{{latest-image-tag}}
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ENV AZUREML_CONDA_ENVIRONMENT_PATH /azureml-envs/azureml-automl-dnn-forecasting-gpu
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ENV AZUREML_CONDA_ENVIRONMENT_PATH=/azureml-envs/azureml-automl-dnn-forecasting-gpu
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# Prepend path to AzureML conda environment
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ENV PATH $AZUREML_CONDA_ENVIRONMENT_PATH/bin:$PATH
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ENV PATH=$AZUREML_CONDA_ENVIRONMENT_PATH/bin:$PATH
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COPY --from=mcr.microsoft.com/azureml/mlflow-ubuntu20.04-py38-cpu-inference:20230306.v3 /var/mlflow_resources/mlflow_score_script.py /var/mlflow_resources/mlflow_score_script.py
7+
COPY --from=mcr.microsoft.com/azureml/mlflow-ubuntu20.04-py38-cpu-inference:20250506.v1 /var/mlflow_resources/mlflow_score_script.py /var/mlflow_resources/mlflow_score_script.py
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ENV MLFLOW_MODEL_FOLDER="mlflow-model"
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# ENV AML_APP_ROOT="/var/mlflow_resources"
@@ -83,17 +83,17 @@ RUN pip install \
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azureml-dataset-runtime=={{latest-pypi-version}} \
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azureml-train-automl=={{latest-pypi-version}} \
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azureml-contrib-automl-dnn-forecasting=={{latest-pypi-version}} \
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'azure-identity>=1.16.1' \
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'azure-identity>=1.25.1' \
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'inference-schema' \
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'xgboost==1.5.2' \
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'cryptography>=42.0.5' \
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'requests>=2.32.4' \
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'certifi>=2023.07.22' \
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'cryptography>=45.0.7' \
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'requests>=2.32.5' \
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'certifi>=2025.11.12' \
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'spacy==3.7.4' \
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'GitPython>=3.1.41' \
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'https://aka.ms/automl-resources/packages/en_core_web_sm-3.7.1.tar.gz' \
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'py-cpuinfo==5.0.0' \
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"pillow>=11.3.0"
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"pillow>=12.0.0"
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# end pypi dependencies
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# end pip install
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‎assets/training/automl/environments/ai-ml-automl-dnn-gpu/context/Dockerfile‎

Lines changed: 11 additions & 11 deletions
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@@ -2,11 +2,11 @@ FROM mcr.microsoft.com/azureml/openmpi5.0-cuda12.4-ubuntu22.04:{{latest-image-ta
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USER root
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ENV AZUREML_CONDA_ENVIRONMENT_PATH /azureml-envs/azureml-automl-dnn-gpu
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ENV AZUREML_CONDA_ENVIRONMENT_PATH=/azureml-envs/azureml-automl-dnn-gpu
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# Prepend path to AzureML conda environment
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ENV PATH $AZUREML_CONDA_ENVIRONMENT_PATH/bin:$PATH
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ENV PATH=$AZUREML_CONDA_ENVIRONMENT_PATH/bin:$PATH
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COPY --from=mcr.microsoft.com/azureml/mlflow-ubuntu20.04-py38-cpu-inference:20230306.v3 /var/mlflow_resources/mlflow_score_script.py /var/mlflow_resources/mlflow_score_script.py
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COPY --from=mcr.microsoft.com/azureml/mlflow-ubuntu20.04-py38-cpu-inference:20250506.v1 /var/mlflow_resources/mlflow_score_script.py /var/mlflow_resources/mlflow_score_script.py
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ENV MLFLOW_MODEL_FOLDER="mlflow-model"
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# ENV AML_APP_ROOT="/var/mlflow_resources"
@@ -43,7 +43,7 @@ RUN apt-get update && \
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libboost-filesystem-dev && \
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apt-get clean && rm -rf /var/lib/apt/lists/*
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RUN conda create -p $AZUREML_CONDA_ENVIRONMENT_PATH python=3.9 pip=25.3 -y
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RUN conda create -p $AZUREML_CONDA_ENVIRONMENT_PATH python=3.10 pip=25.3 -y
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RUN conda run -p $AZUREML_CONDA_ENVIRONMENT_PATH
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@@ -94,7 +94,7 @@ RUN pip install \
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azureml-dataset-runtime=={{latest-pypi-version}} \
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azureml-mlflow=={{latest-pypi-version}} \
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'azureml-model-management-sdk==1.0.1b6.post1' \
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'azure-identity>=1.16.1' --no-cache-dir
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'azure-identity>=1.25.1' --no-cache-dir
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RUN pip install \
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'inference-schema' \
@@ -106,17 +106,17 @@ RUN pip install \
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'https://aka.ms/automl-resources/packages/en_core_web_sm-3.7.1.tar.gz' \
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'py-cpuinfo==5.0.0' \
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'psutil>5.0.0,<6.0.0' \
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'requests>=2.32.4' \
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'certifi>=2023.07.22' \
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'cryptography>=42.0.5' \
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'requests>=2.32.5' \
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'certifi>=2025.11.12' \
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'cryptography>=45.0.7' \
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'jinja2>=3.1.6' --no-cache-dir
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# end pypi dependencies
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# Fix vulnerabilities
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RUN pip install --force-reinstall torchvision==0.23.0 --no-cache-dir
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RUN pip install --upgrade 'requests==2.32.4'
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RUN pip install --upgrade 'requests==2.32.5'
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RUN pip install --upgrade 'urllib3==2.5.0'
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RUN pip install --upgrade 'pillow==11.3.0'
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RUN pip install --upgrade 'pillow==12.0.0'
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# If you have other python/pip environments, update them too:
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RUN /opt/miniconda/bin/pip install --upgrade 'urllib3==2.5.0' || true
@@ -144,5 +144,5 @@ RUN /bin/bash -c "source activate $AZUREML_CONDA_ENVIRONMENT_PATH && \
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RUN rm -rf /opt/miniconda/pkgs/
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ENV LD_LIBRARY_PATH $AZUREML_CONDA_ENVIRONMENT_PATH/lib:$LD_LIBRARY_PATH
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ENV LD_LIBRARY_PATH=$AZUREML_CONDA_ENVIRONMENT_PATH/lib:$LD_LIBRARY_PATH
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‎assets/training/automl/environments/ai-ml-automl-dnn-text-gpu-ptca/context/Dockerfile‎

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FROM mcr.microsoft.com/aifx/acpt/stable-ubuntu2204-cu124-py310-torch260:{{latest-image-tag}}
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USER root:root
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# Update system package index and upgrade Python 3.10 packages to required versions
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RUN apt-get update && \
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apt-get install -y --only-upgrade \
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libpython3.10-stdlib \
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python3.10 \
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libpython3.10-minimal \
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python3.10-minimal \
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libpam0g \
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libpam-modules-bin \
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libpam-modules \
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libc-bin \
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dpkg-dev \
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libssl-dev \
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libpam-runtime && \
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apt-get install -y sudo=1.9.9-1ubuntu2.5 && \
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apt-mark hold sudo && \
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apt-get clean && rm -rf /var/lib/apt/lists/*
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RUN pip install 'azureml-automl-dnn-nlp=={{latest-pypi-version}}'
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RUN pip install 'azureml-defaults=={{latest-pypi-version}}'
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RUN pip uninstall -y onnxruntime
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RUN pip install torch==2.8.0 torchvision==0.23.0
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# Install/upgrade torch in ptca env if it exists (fixes vulnerability)
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RUN /opt/conda/envs/ptca/bin/pip install --force-reinstall torch==2.8.0 torchvision==0.23.0 || true
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RUN pip install onnx==1.17.0
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RUN pip uninstall -y onnxruntime-training
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RUN pip install -i https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/onnxruntime-cuda-12/pypi/simple/ onnxruntime-training==1.18.0
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RUN pip install "numpy==1.22.0" --force-reinstall
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RUN /opt/conda/envs/ptca/bin/pip install "numpy==1.22.0" --force-reinstall || true
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RUN TORCH_CUDA_ARCH_LIST="5.2;6.0;7.0;8.0;8.6;9.0" python -m onnxruntime.training.ortmodule.torch_cpp_extensions.install
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RUN pip install torch-ort==1.18.0 && TORCH_CUDA_ARCH_LIST="5.2;6.0;7.0;8.0;8.6;9.0" python -m torch_ort.configure
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RUN pip uninstall -y onnxruntime
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RUN pip install transformers==4.53.0
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RUN pip install optimum==1.23.3
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RUN pip install accelerate==0.33.0
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RUN pip install deepspeed~=0.15.1
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# Address vulnerabilities
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RUN pip install pyarrow==14.0.1
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RUN pip install aiohttp==3.12.14
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RUN pip install idna==3.7
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RUN pip install requests==2.32.4
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RUN pip install urllib3==2.5.0
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RUN opt/conda/bin/pip install --upgrade 'urllib3==2.5.0' || true
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# Patch for Pillow vulnerability
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RUN pip install --upgrade 'pillow==11.3.0'
56-
RUN /opt/conda/envs/ptca/bin/pip install --upgrade 'pillow==11.3.0' || true
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1+
FROM mcr.microsoft.com/aifx/acpt/stable-ubuntu2204-cu124-py310-torch260:{{latest-image-tag}}
2+
3+
USER root:root
4+
5+
# Update system package index and upgrade Python 3.10 packages to required versions
6+
RUN apt-get update && \
7+
apt-get install -y --only-upgrade \
8+
libpython3.10-stdlib \
9+
python3.10 \
10+
libpython3.10-minimal \
11+
python3.10-minimal \
12+
libpam0g \
13+
libpam-modules-bin \
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libpam-modules \
15+
libc-bin \
16+
dpkg-dev \
17+
libssl-dev \
18+
libpam-runtime && \
19+
apt-get install -y sudo=1.9.9-1ubuntu2.5 && \
20+
apt-mark hold sudo && \
21+
apt-get clean && rm -rf /var/lib/apt/lists/*
22+
23+
RUN pip install \
24+
'azureml-automl-dnn-nlp=={{latest-pypi-version}}' \
25+
'azureml-defaults=={{latest-pypi-version}}'
26+
27+
RUN pip uninstall -y onnxruntime
28+
RUN pip install torch==2.8.0 torchvision==0.23.0
29+
# Install/upgrade torch in ptca env if it exists (fixes vulnerability)
30+
RUN /opt/conda/envs/ptca/bin/pip install --force-reinstall torch==2.8.0 torchvision==0.23.0 || true
31+
32+
# onnx and onnxruntime-training installation
33+
RUN pip install onnx==1.17.0
34+
RUN pip uninstall -y onnxruntime-training
35+
RUN pip install -i https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/onnxruntime-cuda-12/pypi/simple/ onnxruntime-training==1.18.0
36+
37+
# Install numpy
38+
RUN pip install "numpy==1.23.5" --force-reinstall
39+
RUN /opt/conda/bin/pip install "numpy==1.23.5" --force-reinstall || true
40+
RUN /opt/conda/envs/ptca/bin/pip install "numpy==1.23.5" --force-reinstall || true
41+
42+
# torch-ort installation
43+
RUN TORCH_CUDA_ARCH_LIST="5.2;6.0;7.0;8.0;8.6;9.0" python -m onnxruntime.training.ortmodule.torch_cpp_extensions.install
44+
RUN pip install torch-ort==1.18.0 && TORCH_CUDA_ARCH_LIST="5.2;6.0;7.0;8.0;8.6;9.0" python -m torch_ort.configure
45+
RUN pip uninstall -y onnxruntime
46+
47+
RUN pip install \
48+
transformers==4.53.0 \
49+
optimum==1.23.3 \
50+
accelerate==0.33.0 \
51+
deepspeed~=0.15.1
52+
53+
# Address vulnerabilities
54+
RUN pip install pyarrow==14.0.1
55+
RUN pip install aiohttp==3.12.14
56+
RUN pip install idna==3.7
57+
RUN pip install requests==2.32.5
58+
RUN pip install urllib3==2.5.0
59+
RUN /opt/conda/bin/pip install --upgrade 'urllib3==2.5.0' || true
60+
RUN /opt/conda/envs/ptca/bin/pip install --upgrade 'urllib3==2.5.0' || true
61+
62+
# Patch for Pillow vulnerability
63+
RUN pip install --upgrade 'pillow==12.0.0'
64+
RUN /opt/conda/bin/pip install --upgrade 'pillow==12.0.0' || true
65+
RUN /opt/conda/envs/ptca/bin/pip install --upgrade 'pillow==12.0.0' || true
66+
5867
RUN pip list

‎assets/training/automl/environments/ai-ml-automl-dnn-text-gpu/context/Dockerfile‎

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FROM mcr.microsoft.com/aifx/acpt/stable-ubuntu2204-cu126-py310-torch280:{{latest-image-tag}}
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ENV AZUREML_CONDA_ENVIRONMENT_PATH /azureml-envs/azureml-automl-dnn-text-gpu
3+
ENV AZUREML_CONDA_ENVIRONMENT_PATH=/azureml-envs/azureml-automl-dnn-text-gpu
44
# Prepend path to AzureML conda environment
5-
ENV PATH $AZUREML_CONDA_ENVIRONMENT_PATH/bin:$PATH
5+
ENV PATH=$AZUREML_CONDA_ENVIRONMENT_PATH/bin:$PATH
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COPY --from=mcr.microsoft.com/azureml/mlflow-ubuntu20.04-py38-cpu-inference:20230306.v3 /var/mlflow_resources/mlflow_score_script.py /var/mlflow_resources/mlflow_score_script.py
7+
COPY --from=mcr.microsoft.com/azureml/mlflow-ubuntu20.04-py38-cpu-inference:20250506.v1 /var/mlflow_resources/mlflow_score_script.py /var/mlflow_resources/mlflow_score_script.py
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ENV MLFLOW_MODEL_FOLDER="mlflow-model"
1010
# ENV AML_APP_ROOT="/var/mlflow_resources"
@@ -54,7 +54,7 @@ ENV ENABLE_METADATA=true
5454
# begin conda create
5555
# Create conda environment
5656
RUN conda create -p $AZUREML_CONDA_ENVIRONMENT_PATH \
57-
python=3.9 \
57+
python=3.10 \
5858
# begin conda dependencies
5959
pip=25.3 \
6060
numpy~=1.23.5\
@@ -84,11 +84,11 @@ RUN pip install \
8484
azureml-train-automl-client=={{latest-pypi-version}} \
8585
azureml-train-automl-runtime=={{latest-pypi-version}} \
8686
azureml-defaults=={{latest-pypi-version}} \
87-
'azure-identity>=1.16.1' \
88-
'sentencepiece==0.1.97' \
89-
'cryptography>=42.0.5'\
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'requests>=2.32.4' \
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'certifi>=2023.07.22'
87+
'azure-identity>=1.25.1' \
88+
'sentencepiece==0.2.1' \
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'cryptography>=45.0.7'\
90+
'requests>=2.32.5' \
91+
'certifi>=2025.11.12'
9292
# end pypi dependencies
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9494
# Separate updates for fixing vulnerabilities.
@@ -107,9 +107,9 @@ RUN /opt/conda/bin/pip install --upgrade 'pip>=25.3' 'starlette>=0.49.1' 'urllib
107107
RUN /opt/conda/envs/ptca/bin/pip install --upgrade 'urllib3==2.5.0' || true
108108

109109
# Patch for pillow vulnerability
110-
RUN /azureml-envs/azureml-automl-dnn-text-gpu/bin/pip install --upgrade 'pillow==11.3.0' || true
111-
RUN /opt/conda/bin/pip install --upgrade 'pillow==11.3.0' || true
112-
RUN /opt/conda/envs/ptca/bin/pip install --upgrade 'pillow==11.3.0' || true
110+
RUN /azureml-envs/azureml-automl-dnn-text-gpu/bin/pip install --upgrade 'pillow==12.0.0' || true
111+
RUN /opt/conda/bin/pip install --upgrade 'pillow==12.0.0' || true
112+
RUN /opt/conda/envs/ptca/bin/pip install --upgrade 'pillow==12.0.0' || true
113113
RUN $AZUREML_CONDA_ENVIRONMENT_PATH/bin/pip install --upgrade 'h2>=4.3.0'
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115115
RUN /bin/bash -c "source activate $AZUREML_CONDA_ENVIRONMENT_PATH && \

‎assets/training/automl/environments/ai-ml-automl-dnn-vision-gpu/context/Dockerfile‎

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FROM mcr.microsoft.com/aifx/acpt/stable-ubuntu2204-cu126-py310-torch280:{{latest-image-tag}}
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ENV AZUREML_CONDA_ENVIRONMENT_PATH /azureml-envs/azureml-automl-dnn-vision-gpu
3+
ENV AZUREML_CONDA_ENVIRONMENT_PATH=/azureml-envs/azureml-automl-dnn-vision-gpu
44
# Prepend path to AzureML conda environment
5-
ENV PATH $AZUREML_CONDA_ENVIRONMENT_PATH/bin:$PATH
5+
ENV PATH=$AZUREML_CONDA_ENVIRONMENT_PATH/bin:$PATH
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7-
COPY --from=mcr.microsoft.com/azureml/mlflow-ubuntu20.04-py38-cpu-inference:20230306.v3 /var/mlflow_resources/mlflow_score_script.py /var/mlflow_resources/mlflow_score_script.py
7+
COPY --from=mcr.microsoft.com/azureml/mlflow-ubuntu20.04-py38-cpu-inference:20250506.v1 /var/mlflow_resources/mlflow_score_script.py /var/mlflow_resources/mlflow_score_script.py
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ENV MLFLOW_MODEL_FOLDER="mlflow-model"
1010
# ENV AML_APP_ROOT="/var/mlflow_resources"
@@ -53,7 +53,7 @@ ENV ENABLE_METADATA=true
5353
# Create conda environment
5454
# begin conda create
5555
RUN conda create -p $AZUREML_CONDA_ENVIRONMENT_PATH \
56-
python=3.9 \
56+
python=3.10 \
5757
# begin conda dependencies
5858
pip=25.3 \
5959
numpy~=1.23.5\
@@ -88,31 +88,31 @@ RUN pip install \
8888
azureml-train-automl-runtime=={{latest-pypi-version}} \
8989
azureml-automl-dnn-vision=={{latest-pypi-version}} \
9090
'azureml-dataprep>=2.24.4' \
91-
'requests>=2.32.4' \
92-
'azure-identity>=1.16.1'
91+
'requests>=2.32.5' \
92+
'azure-identity>=1.25.1'
9393
# end pypi dependencies
9494

9595
# Update cryptography and pyarow for fixing vulnerability. Doing it separately from pip install to avoid conflict with other packages
96-
RUN pip install cryptography>=42.0.5 \
96+
RUN pip install cryptography>=45.0.7 \
9797
pyarrow==14.0.2 \
9898
aiohttp>=3.12.14
9999

100100
# Patch for pillow vulnerability and update pip/starlette
101-
RUN /azureml-envs/azureml-automl-dnn-vision-gpu/bin/pip install --upgrade 'pillow==11.3.0' 'pip>=25.3' 'starlette>=0.49.1'
102-
RUN /opt/conda/bin/pip install --upgrade 'pillow==11.3.0' 'pip>=25.3' 'starlette>=0.49.1'
103-
RUN /opt/conda/envs/ptca/bin/pip install --upgrade 'pillow==11.3.0' 'pip>=25.3' 'starlette>=0.49.1'
104-
101+
RUN /opt/conda/bin/pip install --upgrade 'pillow==12.0.0' 'pip>=25.3' 'starlette>=0.49.1'
102+
RUN /opt/conda/envs/ptca/bin/pip install --upgrade 'pillow==12.0.0' 'pip>=25.3' 'starlette>=0.49.1'
103+
RUN /azureml-envs/azureml-automl-dnn-vision-gpu/bin/pip install --upgrade 'pillow==12.0.0' 'pip>=25.3' 'starlette>=0.49.1'
104+
105105
# Upgrade torch, requests, urllib3 in the system Python for fixing vulnerability
106106
RUN /opt/conda/bin/pip install --upgrade 'urllib3==2.5.0'
107107
RUN /opt/conda/envs/ptca/bin/pip install --upgrade 'urllib3==2.5.0'
108108
RUN /azureml-envs/azureml-automl-dnn-vision-gpu/bin/pip install --upgrade 'urllib3==2.5.0'
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110-
RUN /azureml-envs/azureml-automl-dnn-vision-gpu/bin/pip install --force-reinstall --no-cache-dir 'torch==2.8.0' torchvision==0.23.0
111110
RUN /opt/conda/envs/ptca/bin/pip install --force-reinstall --no-cache-dir 'torch==2.8.0' torchvision==0.23.0
111+
RUN /azureml-envs/azureml-automl-dnn-vision-gpu/bin/pip install --force-reinstall --no-cache-dir 'torch==2.8.0' torchvision==0.23.0
112112
RUN /azureml-envs/azureml-automl-dnn-vision-gpu/bin/pip install --upgrade 'mlflow==3.1.4'
113113

114114
RUN $AZUREML_CONDA_ENVIRONMENT_PATH/bin/pip install --upgrade 'h2>=4.3.0'
115115
RUN rm -rf /opt/conda/pkgs/
116116

117117
# end pip install
118-
ENV LD_LIBRARY_PATH $AZUREML_CONDA_ENVIRONMENT_PATH/lib:$LD_LIBRARY_PATH
118+
ENV LD_LIBRARY_PATH=$AZUREML_CONDA_ENVIRONMENT_PATH/lib:$LD_LIBRARY_PATH

‎assets/training/automl/environments/ai-ml-automl-dnn/context/Dockerfile‎

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FROM mcr.microsoft.com/azureml/openmpi5.0-ubuntu24.04:{{latest-image-tag}}
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ENV AZUREML_CONDA_ENVIRONMENT_PATH /azureml-envs/azureml-automl-dnn
3+
ENV AZUREML_CONDA_ENVIRONMENT_PATH=/azureml-envs/azureml-automl-dnn
44
# Prepend path to AzureML conda environment
5-
ENV PATH $AZUREML_CONDA_ENVIRONMENT_PATH/bin:$PATH
5+
ENV PATH=$AZUREML_CONDA_ENVIRONMENT_PATH/bin:$PATH
66

7-
COPY --from=mcr.microsoft.com/azureml/mlflow-ubuntu20.04-py38-cpu-inference:20230306.v3 /var/mlflow_resources/mlflow_score_script.py /var/mlflow_resources/mlflow_score_script.py
7+
COPY --from=mcr.microsoft.com/azureml/mlflow-ubuntu20.04-py38-cpu-inference:20250506.v1 /var/mlflow_resources/mlflow_score_script.py /var/mlflow_resources/mlflow_score_script.py
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ENV MLFLOW_MODEL_FOLDER="mlflow-model"
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# ENV AML_APP_ROOT="/var/mlflow_resources"
@@ -79,12 +79,12 @@ RUN pip install \
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'inference-schema' \
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'prophet==1.1.4' \
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'xgboost==1.5.2' \
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'cryptography>=42.0.5' \
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'cryptography>=45.0.7' \
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'mltable>=1.0.0' \
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'pytorch-transformers==1.0.0' \
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'GitPython>=3.1.41' \
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'spacy==3.7.4' \
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'pillow>=11.3.0' \
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'pillow>=12.0.0' \
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'https://aka.ms/automl-resources/packages/en_core_web_sm-3.7.1.tar.gz'
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# end pypi dependencies
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# end pip install
@@ -94,5 +94,5 @@ RUN pip install --upgrade 'pip>=25.3' 'starlette>=0.49.1' 'urllib3==2.5.0'
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RUN $AZUREML_CONDA_ENVIRONMENT_PATH/bin/pip install --upgrade 'pip>=25.3' 'starlette>=0.49.1' 'h2>=4.3.0'
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RUN rm -rf /opt/miniconda/pkgs/
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ENV LD_LIBRARY_PATH $AZUREML_CONDA_ENVIRONMENT_PATH/lib:$LD_LIBRARY_PATH
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ENV LD_LIBRARY_PATH=$AZUREML_CONDA_ENVIRONMENT_PATH/lib:$LD_LIBRARY_PATH
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