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creating rocm tensorflow python 3.12 image
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‎jupyter/rocm/tensorflow/ubi9-python-3.12/Dockerfile.rocm

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######################################################
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# mongocli-builder (build stage only, not published) #
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######################################################
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FROM registry.access.redhat.com/ubi9/go-toolset:latest AS mongocli-builder
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ARG MONGOCLI_VERSION=2.0.3
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WORKDIR /tmp/
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RUN curl -Lo mongodb-cli-mongocli-v${MONGOCLI_VERSION}.zip https://github.com/mongodb/mongodb-cli/archive/refs/tags/mongocli/v${MONGOCLI_VERSION}.zip
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RUN unzip ./mongodb-cli-mongocli-v${MONGOCLI_VERSION}.zip
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RUN cd ./mongodb-cli-mongocli-v${MONGOCLI_VERSION}/ && \
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CGO_ENABLED=1 GOOS=linux go build -a -tags strictfipsruntime -o /tmp/mongocli ./cmd/mongocli/
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####################
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# base #
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####################
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FROM registry.access.redhat.com/ubi9/python-312:latest AS base
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WORKDIR /opt/app-root/bin
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# OS Packages needs to be installed as root
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USER 0
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# Install useful OS packages
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RUN dnf install -y mesa-libGL skopeo && dnf clean all && rm -rf /var/cache/yum
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# Other apps and tools installed as default user
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USER 1001
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# Install micropipenv to deploy packages from Pipfile.lock
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RUN pip install --no-cache-dir -U "micropipenv[toml]"
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# Install the oc client
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RUN curl -L https://mirror.openshift.com/pub/openshift-v4/$(uname -m)/clients/ocp/stable/openshift-client-linux.tar.gz \
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-o /tmp/openshift-client-linux.tar.gz && \
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tar -xzvf /tmp/openshift-client-linux.tar.gz oc && \
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rm -f /tmp/openshift-client-linux.tar.gz
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########################
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# rocm-base #
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########################
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FROM base AS rocm-base
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USER 0
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WORKDIR /opt/app-root/bin
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# Please keep in sync with ROCm/python3.12 dependent images
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ARG ROCM_VERSION=6.2.4
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ARG AMDGPU_VERSION=6.2.4
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# Install the ROCm rpms
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# ref: https://github.com/ROCm/ROCm-docker/blob/master/dev/Dockerfile-centos-7-complete
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# Note: Based on 6.2 above new package mivisionx is a pre-requistes, which bring in more dependent packages
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# so we are only installing meta packages of rocm
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# ref: https://rocm.docs.amd.com/projects/install-on-linux/en/develop/reference/package-manager-integration.html#packages-in-rocm-programming-models
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RUN echo "[ROCm]" > /etc/yum.repos.d/rocm.repo && \
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echo "name=ROCm" >> /etc/yum.repos.d/rocm.repo && \
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echo "baseurl=https://repo.radeon.com/rocm/rhel9/$ROCM_VERSION/main" >> /etc/yum.repos.d/rocm.repo && \
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echo "enabled=1" >> /etc/yum.repos.d/rocm.repo && \
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echo "gpgcheck=0" >> /etc/yum.repos.d/rocm.repo && \
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echo "[amdgpu]" > /etc/yum.repos.d/amdgpu.repo && \
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echo "name=amdgpu" >> /etc/yum.repos.d/amdgpu.repo && \
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echo "baseurl=https://repo.radeon.com/amdgpu/$AMDGPU_VERSION/rhel/9.4/main/x86_64" >> /etc/yum.repos.d/amdgpu.repo && \
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echo "enabled=1" >> /etc/yum.repos.d/amdgpu.repo && \
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echo "gpgcheck=0" >> /etc/yum.repos.d/amdgpu.repo && \
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yum install -y rocm-developer-tools rocm-ml-sdk rocm-opencl-sdk rocm-openmp-sdk rocm-utils && \
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yum clean all && rm -rf /var/cache/yum
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# Restore notebook user workspace
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USER 1001
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WORKDIR /opt/app-root/src
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########################
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# rocm-jupyter-minimal #
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########################
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FROM rocm-base AS rocm-jupyter-minimal
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ARG JUPYTER_REUSABLE_UTILS=jupyter/utils
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ARG MINIMAL_SOURCE_CODE=jupyter/minimal/ubi9-python-3.12
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WORKDIR /opt/app-root/bin
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COPY ${JUPYTER_REUSABLE_UTILS} utils/
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USER 0
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# Dependencies for PDF export
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RUN ./utils/install_pdf_deps.sh
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ENV PATH="/usr/local/texlive/bin/x86_64-linux:/usr/local/pandoc/bin:$PATH"
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USER 1001
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COPY ${MINIMAL_SOURCE_CODE}/start-notebook.sh ./
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WORKDIR /opt/app-root/src
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ENTRYPOINT ["start-notebook.sh"]
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############################
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# rocm-jupyter-datascience #
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############################
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FROM rocm-jupyter-minimal AS rocm-jupyter-datascience
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ARG DATASCIENCE_SOURCE_CODE=jupyter/datascience/ubi9-python-3.12
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WORKDIR /opt/app-root/bin
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# OS Packages needs to be installed as root
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USER root
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# Install useful OS packages
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RUN dnf install -y jq unixODBC postgresql git-lfs libsndfile && dnf clean all && rm -rf /var/cache/yum
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# Copy dynamically-linked mongocli built in earlier build stage
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COPY --from=mongocli-builder /tmp/mongocli /opt/app-root/bin/
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# Install MSSQL Client, We need a special repo for MSSQL as they do their own distribution
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COPY ${DATASCIENCE_SOURCE_CODE}/mssql-2022.repo-x86_64 /etc/yum.repos.d/mssql-2022.repo
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RUN ACCEPT_EULA=Y dnf install -y mssql-tools18 unixODBC-devel && dnf clean all && rm -rf /var/cache/yum
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ENV PATH="$PATH:/opt/mssql-tools18/bin"
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# Other apps and tools installed as default user
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USER 1001
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# Copy Elyra setup to utils so that it's sourced at startup
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COPY ${DATASCIENCE_SOURCE_CODE}/setup-elyra.sh ${DATASCIENCE_SOURCE_CODE}/utils ./utils/
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WORKDIR /opt/app-root/src
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###########################
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# rocm-jupyter-tensorflow #
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###########################
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FROM rocm-jupyter-datascience AS rocm-jupyter-tensorflow
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ARG DATASCIENCE_SOURCE_CODE=jupyter/datascience/ubi9-python-3.12
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ARG TENSORFLOW_SOURCE_CODE=jupyter/rocm/tensorflow/ubi9-python-3.12
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WORKDIR /opt/app-root/bin
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LABEL name="odh-notebook-jupyter-rocm-tensorflow-ubi9-python-3.12" \
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summary="Jupyter AMD tensorflow notebook image for ODH notebooks" \
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description="Jupyter AMD tensorflow notebook image with base Python 3.12 builder image based on UBI9 for ODH notebooks" \
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io.k8s.display-name="Jupyter AMD tensorflow notebook image for ODH notebooks" \
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io.k8s.description="Jupyter AMD tensorflow notebook image with base Python 3.12 builder image based on UBI9 for ODH notebooks" \
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authoritative-source-url="https://github.com/opendatahub-io/notebooks" \
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io.openshift.build.commit.ref="main" \
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io.openshift.build.source-location="https://github.com/opendatahub-io/notebooks/tree/main/jupyter/rocm/tensorflow/ubi9-python-3.12" \
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io.openshift.build.image="quay.io/opendatahub/workbench-images:rocm-jupyter-tensorflow-ubi9-python-3.12"
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COPY ${TENSORFLOW_SOURCE_CODE}/Pipfile.lock ./
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RUN echo "Installing softwares and packages" && \
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micropipenv install --dev && \
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rm -f ./Pipfile.lock && \
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# setup path for runtime configuration
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mkdir /opt/app-root/runtimes && \
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# Remove default Elyra runtime-images \
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rm /opt/app-root/share/jupyter/metadata/runtime-images/*.json && \
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# Replace Notebook's launcher, "(ipykernel)" with Python's version 3.x.y \
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sed -i -e "s/Python.*/$(python --version | cut -d '.' -f-2)\",/" /opt/app-root/share/jupyter/kernels/python3/kernel.json && \
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# copy jupyter configuration
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cp /opt/app-root/bin/utils/jupyter_server_config.py /opt/app-root/etc/jupyter && \
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# Disable announcement plugin of jupyterlab \
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jupyter labextension disable "@jupyterlab/apputils-extension:announcements" && \
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# Apply JupyterLab addons \
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/opt/app-root/bin/utils/addons/apply.sh && \
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# Fix permissions to support pip in Openshift environments \
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chmod -R g+w /opt/app-root/lib/python3.12/site-packages && \
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fix-permissions /opt/app-root -P
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WORKDIR /opt/app-root/src

‎jupyter/rocm/tensorflow/ubi9-python-3.12/Pipfile

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[[source]]
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url = "https://pypi.org/simple"
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verify_ssl = true
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name = "pypi"
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[dev-packages]
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# tf2onnx has pinned protobuf version, that causes conflict with other packages
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# This is a workaround to avoid the conflict
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tf2onnx = "~= 1.16.1"
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[packages]
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# ROCm TensorFlow packages
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tensorflow_rocm = "~=2.14.0.600"
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tensorboard = "~=2.14.0"
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# Datascience and useful extensions
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boto3 = "~=1.37.8"
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kafka-python-ng = "~=2.2.3"
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kfp = "~=2.12.1"
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matplotlib = "~=3.10.1"
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numpy = "~=1.26.4"
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pandas = "~=2.2.3"
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plotly = "~=6.0.0"
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scikit-learn = "~=1.6.1"
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scipy = "~=1.15.2"
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skl2onnx = "~=1.17.0"
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onnxconverter-common = "~=1.13.0" # Required for skl2onnx, as upgraded version is not compatible with protobuf
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codeflare-sdk = "~=0.29.0"
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kubeflow-training = "==1.9.0"
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# DB connectors
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pymongo = "~=4.11.2"
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psycopg = "~=3.2.5"
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pyodbc = "~=5.2.0"
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mysql-connector-python = "~=9.3.0"
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# JupyterLab packages
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odh-elyra = "==4.2.1"
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jupyterlab = "==4.2.7"
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jupyter-bokeh = "~=4.0.5"
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jupyter-server = "~=2.15.0"
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jupyter-server-proxy = "~=4.4.0"
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jupyter-server-terminals = "~=0.5.3"
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jupyterlab-git = "~=0.50.1"
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jupyterlab-lsp = "~=5.1.0"
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jupyterlab-widgets = "~=3.0.13"
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jupyter-resource-usage = "~=1.1.0"
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nbdime = "~=4.0.2"
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nbgitpuller = "~=1.2.2"
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# Base packages
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wheel = "~=0.45.1"
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setuptools = "~=78.1.1"
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[requires]
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python_version = "3.12"

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