diff --git a/.github/workflows/build-notebooks.yaml b/.github/workflows/build-notebooks.yaml index 6f7b14c41..d166b560f 100644 --- a/.github/workflows/build-notebooks.yaml +++ b/.github/workflows/build-notebooks.yaml @@ -79,28 +79,6 @@ }, "secrets": "inherit" }, - "jupyter-trustyai-ubi8-python-3_8": { - "needs": [ - "jupyter-datascience-ubi8-python-3_8" - ], - "uses": "./.github/workflows/build-notebooks-TEMPLATE.yaml", - "with": { - "target": "jupyter-trustyai-ubi8-python-3.8", - "github": "${{ toJSON(github) }}" - }, - "secrets": "inherit" - }, - "habana-jupyter-1_9_0-ubi8-python-3_8": { - "needs": [ - "jupyter-datascience-ubi8-python-3_8" - ], - "uses": "./.github/workflows/build-notebooks-TEMPLATE.yaml", - "with": { - "target": "habana-jupyter-1.9.0-ubi8-python-3.8", - "github": "${{ toJSON(github) }}" - }, - "secrets": "inherit" - }, "habana-jupyter-1_10_0-ubi8-python-3_8": { "needs": [ "jupyter-datascience-ubi8-python-3_8" @@ -112,17 +90,6 @@ }, "secrets": "inherit" }, - "habana-jupyter-1_11_0-ubi8-python-3_8": { - "needs": [ - "jupyter-datascience-ubi8-python-3_8" - ], - "uses": "./.github/workflows/build-notebooks-TEMPLATE.yaml", - "with": { - "target": "habana-jupyter-1.11.0-ubi8-python-3.8", - "github": "${{ toJSON(github) }}" - }, - "secrets": "inherit" - }, "habana-jupyter-1_13_0-ubi8-python-3_8": { "needs": [ "jupyter-datascience-ubi8-python-3_8" diff --git a/Makefile b/Makefile index f0774ca71..9146b3a71 100644 --- a/Makefile +++ b/Makefile @@ -97,26 +97,11 @@ cuda-jupyter-minimal-ubi8-python-3.8: cuda-ubi8-python-3.8 cuda-jupyter-datascience-ubi8-python-3.8: cuda-jupyter-minimal-ubi8-python-3.8 $(call image,$@,jupyter/datascience/ubi8-python-3.8,$<) -# Build and push jupyter-trustyai-ubi8-python-3.8 image to the registry -.PHONY: jupyter-trustyai-ubi8-python-3.8 -jupyter-trustyai-ubi8-python-3.8: jupyter-datascience-ubi8-python-3.8 - $(call image,$@,jupyter/trustyai/ubi8-python-3.8,$<) - -# Build and push habana-jupyter-1.9.0-ubi8-python-3.8 image to the registry -.PHONY: habana-jupyter-1.9.0-ubi8-python-3.8 -habana-jupyter-1.9.0-ubi8-python-3.8: jupyter-datascience-ubi8-python-3.8 - $(call image,$@,habana/1.9.0/ubi8-python-3.8,$<) - # Build and push habana-jupyter-1.10.0-ubi8-python-3.8 image to the registry .PHONY: habana-jupyter-1.10.0-ubi8-python-3.8 habana-jupyter-1.10.0-ubi8-python-3.8: jupyter-datascience-ubi8-python-3.8 $(call image,$@,habana/1.10.0/ubi8-python-3.8,$<) -# Build and push habana-jupyter-1.11.0-ubi8-python-3.8 image to the registry -.PHONY: habana-jupyter-1.11.0-ubi8-python-3.8 -habana-jupyter-1.11.0-ubi8-python-3.8: jupyter-datascience-ubi8-python-3.8 - $(call image,$@,habana/1.11.0/ubi8-python-3.8,$<) - # Build and push habana-jupyter-1.13.0-ubi8-python-3.8 image to the registry .PHONY: habana-jupyter-1.13.0-ubi8-python-3.8 habana-jupyter-1.13.0-ubi8-python-3.8: jupyter-datascience-ubi8-python-3.8 @@ -442,8 +427,6 @@ test-%: bin/kubectl $(call test_with_papermill,minimal,ubi8,python-3.8) \ elif echo "$(FULL_NOTEBOOK_NAME)" | grep -q "datascience-ubi8"; then \ $(MAKE) validate-ubi8-datascience -e FULL_NOTEBOOK_NAME=$(FULL_NOTEBOOK_NAME); \ - elif echo "$(FULL_NOTEBOOK_NAME)" | grep -q "trustyai-ubi8"; then \ - $(call test_with_papermill,trustyai,ubi8,python-3.8) \ elif echo "$(FULL_NOTEBOOK_NAME)" | grep -q "anaconda"; then \ echo "There is no test notebook implemented yet for Anaconda Notebook...." \ else \ @@ -573,8 +556,11 @@ refresh-pipfilelock-files: cd jupyter/datascience/ubi9-python-3.9 && pipenv lock cd jupyter/pytorch/ubi9-python-3.9 && pipenv lock cd jupyter/tensorflow/ubi9-python-3.9 && pipenv lock - cd jupyter/trustyai/ubi8-python-3.8 && pipenv lock cd jupyter/trustyai/ubi9-python-3.9 && pipenv lock + cd habana/1.10.0/ubi8-python-3.8 && pipenv lock + cd habana/1.13.0/ubi8-python-3.8 && pipenv lock + cd runtimes/minimal/ubi8-python-3.8 && pipenv lock + cd runtimes/minimal/ubi9-python-3.9 && pipenv lock cd runtimes/datascience/ubi8-python-3.8 && pipenv lock cd runtimes/datascience/ubi9-python-3.9 && pipenv lock cd runtimes/pytorch/ubi9-python-3.9 && pipenv lock diff --git a/habana/1.11.0/ubi8-python-3.8/Dockerfile b/habana/1.11.0/ubi8-python-3.8/Dockerfile deleted file mode 100644 index 4d4f36240..000000000 --- a/habana/1.11.0/ubi8-python-3.8/Dockerfile +++ /dev/null @@ -1,167 +0,0 @@ -# Copyright (c) 2022 Habana Labs, Ltd. -# -# SPDX-License-Identifier: Apache-2.0 -# -# HabanaLabs Dockerfile base installer layer for RedHat 8.6 -# Reference: https://github.com/HabanaAI/Setup_and_Install/blob/1.11.0/dockerfiles/base/Dockerfile.rhel8.6 -ARG BASE_IMAGE -FROM ${BASE_IMAGE} - -ARG ARTIFACTORY_URL="vault.habana.ai" -ARG VERSION="1.11.0" -ARG REVISION="587" -ARG PT_VERSION="2.0.1" - -USER root - -RUN dnf install -y https://dl.fedoraproject.org/pub/epel/epel-release-latest-8.noarch.rpm && \ - dnf clean all && rm -rf /var/cache/yum - -RUN echo "[appstream]" > /etc/yum.repos.d/CentOS-Linux-AppStream.repo && \ - echo "name=CentOS Linux 8 - AppStream" >> /etc/yum.repos.d/CentOS-Linux-AppStream.repo && \ - echo "baseurl=https://vault.centos.org/\$releasever-stream/AppStream/\$basearch/os/" >> /etc/yum.repos.d/CentOS-Linux-AppStream.repo && \ - echo "gpgcheck=0" >> /etc/yum.repos.d/CentOS-Linux-AppStream.repo - - -RUN echo "[BaseOS]" > /etc/yum.repos.d/CentOS-Linux-BaseOS.repo && \ - echo "name=CentOS Linux 8 - BaseOS" >> /etc/yum.repos.d/CentOS-Linux-BaseOS.repo && \ - echo "baseurl=https://vault.centos.org/\$releasever-stream/BaseOS/\$basearch/os/" >> /etc/yum.repos.d/CentOS-Linux-BaseOS.repo && \ - echo "gpgcheck=0" >> /etc/yum.repos.d/CentOS-Linux-BaseOS.repo - -RUN dnf install -y \ - clang \ - cmake3 \ - cpp \ - gcc \ - gcc-c++ \ - glibc \ - glibc-headers \ - glibc-devel \ - jemalloc \ - libarchive \ - libksba \ - unzip \ - llvm \ - lsof \ - python38-devel \ - openssh-clients \ - libjpeg-devel \ - openssh-server \ - redhat-lsb-core \ - wget \ - git \ - mesa-libGL \ - python3-dnf-plugin-versionlock && \ - # update pkgs (except OS version) for resolving potentials CVEs - dnf versionlock add redhat-release* && \ - dnf update -y && \ - dnf clean all && rm -rf /var/cache/yum - -ENV LD_LIBRARY_PATH=/usr/lib/habanalabs:$LD_LIBRARY_PATH -ENV RDMAV_FORK_SAFE=1 - -RUN echo "[habanalabs]" > /etc/yum.repos.d/habanalabs.repo && \ - echo "name=Habana RH8 Linux repo" >> /etc/yum.repos.d/habanalabs.repo && \ - echo "baseurl=https://${ARTIFACTORY_URL}/artifactory/rhel/8/8.6" >> /etc/yum.repos.d/habanalabs.repo && \ - echo "gpgkey=https://${ARTIFACTORY_URL}/artifactory/rhel/8/8.6/repodata/repomd.xml.key" >> /etc/yum.repos.d/habanalabs.repo - -RUN echo "[powertools]" > /etc/yum.repos.d/powertools.repo && \ - echo "name=powertools" >> /etc/yum.repos.d/powertools.repo && \ - echo "baseurl=https://vault.centos.org/\$releasever-stream/PowerTools/\$basearch/os/" >> /etc/yum.repos.d/powertools.repo && \ - echo "gpgcheck=0" >> /etc/yum.repos.d/powertools.repo - -RUN dnf install -y habanalabs-rdma-core-"$VERSION"-"$REVISION".el8 \ - habanalabs-thunk-"$VERSION"-"$REVISION".el8 \ - habanalabs-firmware-tools-"$VERSION"-"$REVISION".el8 \ - habanalabs-graph-"$VERSION"-"$REVISION".el8 && \ - rm -f /etc/yum.repos.d/habanalabs.repo && rm -rf /tmp/* && \ - dnf clean all && rm -rf /var/cache/yum - -RUN rpm -V habanalabs-rdma-core && rpm -V habanalabs-thunk && rpm -V habanalabs-firmware-tools && rpm -V habanalabs-graph - -# There is no need to store pip installation files inside docker image -ENV PIP_NO_CACHE_DIR=on -ENV PIP_DISABLE_PIP_VERSION_CHECK=1 -ENV RDMA_CORE_ROOT=/opt/habanalabs/rdma-core/src -ENV RDMA_CORE_LIB=${RDMA_CORE_ROOT}/build/lib - -# Install python packages -# RUN python3.8 -m pip install hpu_media_loader=="${VERSION}"."${REVISION}" -# Install Python packages and Jupyterlab extensions from Pipfile.lock -COPY Pipfile.lock ./ - -RUN echo "Installing softwares and packages" && micropipenv install && rm -f ./Pipfile.lock - -RUN echo "export LANG=en_US.UTF-8" >> /root/.bashrc -RUN export LANG=en_US.UTF-8 -ENV GC_KERNEL_PATH=/usr/lib/habanalabs/libtpc_kernels.so -ENV HABANA_LOGS=/var/log/habana_logs/ -ENV HABANA_SCAL_BIN_PATH=/opt/habanalabs/engines_fw -ENV HABANA_PLUGINS_LIB_PATH=/opt/habanalabs/habana_plugins - -## Install habana tensorflow -# Reference: https://github.com/HabanaAI/Setup_and_Install/blob/1.11.0/dockerfiles/tensorflow/Dockerfile.rhel8.6 -# For AML/CentOS/RHEL OS'es TFIO_DATAPATH have to be specified to import tensorflow_io lib correctly -ENV TFIO_DATAPATH=/opt/app-root/src/python3.8/site-packages/ - -# For AML/CentOS/RHEL ca-cert file is expected exactly under /etc/ssl/certs/ca-certificates.crt -# otherwise curl will fail during access to S3 AWS storage -RUN ln -s /etc/ssl/certs/ca-bundle.crt /etc/ssl/certs/ca-certificates.crt - -## Install habana pytorch -# Reference: https://github.com/HabanaAI/Setup_and_Install/blob/1.11.0/dockerfiles/pytorch/Dockerfile.rhel8.6 -ENV LANG=en_US.UTF-8 -ENV PYTHONPATH=/root:/usr/lib/habanalabs/ - -RUN dnf install -y \ - curl \ - cairo-devel \ - numactl-devel \ - iproute \ - which \ - zlib-devel \ - lapack-devel \ - openblas-devel \ - numactl \ - gperftools-devel && \ - dnf clean all && rm -rf /var/cache/yum - -RUN wget --no-verbose https://"${ARTIFACTORY_URL}"/artifactory/gaudi-pt-modules/"${VERSION}"/"${REVISION}"\ -/pytorch/rhel86/pytorch_modules-v"${PT_VERSION}"_"${VERSION}"_"${REVISION}".tgz && \ - mkdir /root/habanalabs /root/habanalabs/pytorch_temp && \ - tar -xf pytorch_modules-v"${PT_VERSION}"_"${VERSION}"_"${REVISION}".tgz -C /root/habanalabs/pytorch_temp/. && \ - pip3 install /root/habanalabs/pytorch_temp/*.whl && \ - pip3 install $(grep "lightning" /root/habanalabs/pytorch_temp/requirements-pytorch.txt) && \ - pip3 install tensorboard~=2.12.2 protobuf==3.20.3 && \ - pip3 uninstall -y pillow && \ - pip3 uninstall -y pillow-simd && \ - pip3 install pillow-simd==7.0.0.post3 && \ - rm -rf /root/habanalabs/pytorch_temp/ && \ - rm -rf pytorch_modules-v"${PT_VERSION}"_"${VERSION}"_"${REVISION}".tgz &&\ - echo "source /etc/profile.d/habanalabs.sh" >> ~/.bashrc - -ENV LD_PRELOAD=/lib64/libtcmalloc.so.4 -ENV TCMALLOC_LARGE_ALLOC_REPORT_THRESHOLD=7516192768 - -RUN dnf clean all && rm -rf /var/cache/dnf && rm -rf /tmp/* - -## Label the image with details required by ODH -LABEL name="odh-notebook-habana-jupyter-1.11.0-ubi8-python-3.8" \ - summary="Jupyter HabanaAI 1.11.0 notebook image for ODH notebooks" \ - description="Jupyter HabanaAI 1.11.0 notebook image with base Python 3.8 builder image based on ubi8 for ODH notebooks" \ - io.k8s.display-name="Jupyter HabanaAI 1.11.0 notebook image for ODH notebooks" \ - io.k8s.description="Jupyter HabanaAI 1.11.0 notebook image with base Python 3.8 builder image based on ubi8 for ODH notebooks" \ - authoritative-source-url="https://github.com/opendatahub-io/notebooks" \ - io.openshift.build.commit.ref="main" \ - io.openshift.build.source-location="https://github.com/opendatahub-io/notebooks/tree/main/habana/1.11.0/ubi8-python-3.8" \ - io.openshift.build.image="quay.io/opendatahub/workbench-images:habana-jupyter-1.11.0-ubi8-python-3.8" - -# Replace Notebook's launcher, "(ipykernel)" with Python's version 3.x -RUN sed -i -e "s/Python.*/$(python --version| cut -d '.' -f-2)\",/" /opt/app-root/share/jupyter/kernels/python3/kernel.json && \ - # Fix permissions to support pip in Openshift environments \ - chmod -R g+w /opt/app-root/lib/python3.8/site-packages && \ - fix-permissions /opt/app-root -P - -USER 1001 - -WORKDIR /opt/app-root/src \ No newline at end of file diff --git a/habana/1.11.0/ubi8-python-3.8/Pipfile b/habana/1.11.0/ubi8-python-3.8/Pipfile deleted file mode 100644 index ac03c1484..000000000 --- a/habana/1.11.0/ubi8-python-3.8/Pipfile +++ /dev/null @@ -1,61 +0,0 @@ -[[source]] -url = "https://pypi.org/simple" -verify_ssl = true -name = "pypi" - -[dev-packages] - -[packages] -# Habana requirements -habana_media_loader = "==1.11.0.587" - -# TensorFlow and useful extensions -habana-tensorflow = "==1.11.0.587" -tensorflow-cpu = "==2.12.1" -tensorflow-io = "==0.32.0" -tensorboard = "~=2.12.2" -tf2onnx = "~= 1.13.0" - -# Pytorch and useful extension -habana-pyhlml = "==1.11.0.587" - -# Below pkgs are required for pytorch-fork -cffi = "==1.15.1" -typing-extensions = ">=4.5.0" -numpy = "==1.23.5" -ninja = ">=1.11.1" -pyyaml = "==6.0" -pybind11 = "==2.10.4" -mkl = "==2023.1" -mkl-include = "==2023.1" - -# Parent image requirements to maintain cohesion -elyra-pipeline-editor-extension = "~=3.15.0" -elyra-python-editor-extension = "~=3.15.0" -elyra-code-snippet-extension = "~=3.15.0" -kfp-tekton = "<1.6.0" -boto3 = "~=1.26.69" -jupyter-bokeh = "~=3.0.5" -kafka-python = "~=2.0.2" -matplotlib = "~=3.6.3" -pandas = "~=1.5.3" -plotly = "~=5.13.0" -scikit-learn = "~=1.2.1" -scipy = "~=1.10.0" -jupyterlab-lsp = "~=3.10.2" -jupyterlab-widgets = "~=3.0.5" -jupyter-resource-usage = "~=0.6.0" - -# Parent image requirements to maintain cohesion -jupyterlab = "~=3.5.3" -jupyter-server = "~=2.1.0" -jupyter-server-proxy = "~=3.2.2" -jupyter-server-terminals = "~=0.4.4" -jupyterlab-git = "~=0.41.0" -nbdime = "~=3.1.1" -nbgitpuller = "~=1.1.1" -# --- -wheel = "~=0.38.4" - -[requires] -python_version = "3.8" diff --git a/habana/1.11.0/ubi8-python-3.8/Pipfile.lock b/habana/1.11.0/ubi8-python-3.8/Pipfile.lock deleted file mode 100644 index 7279c97a0..000000000 --- a/habana/1.11.0/ubi8-python-3.8/Pipfile.lock +++ /dev/null @@ -1,3703 +0,0 @@ -{ - "_meta": { - "hash": { - "sha256": "4e6c20efd1aba194d95871a13779498f99a480d44af76cde9d1d52d45b76a3b8" - }, - "pipfile-spec": 6, - "requires": { - "python_version": "3.8" - }, - "sources": [ - { - "name": "pypi", - "url": "https://pypi.org/simple", - "verify_ssl": true - } - ] - }, - "default": { - "absl-py": { - "hashes": [ - "sha256:0d3fe606adfa4f7db64792dd4c7aee4ee0c38ab75dfd353b7a83ed3e957fcb47", - "sha256:d2c244d01048ba476e7c080bd2c6df5e141d211de80223460d5b3b8a2a58433d" - ], - "markers": "python_version >= '3.6'", - "version": "==1.4.0" - }, - "aiohttp": { - "hashes": [ - "sha256:00ad4b6f185ec67f3e6562e8a1d2b69660be43070bd0ef6fcec5211154c7df67", - "sha256:0175d745d9e85c40dcc51c8f88c74bfbaef9e7afeeeb9d03c37977270303064c", - 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], - "markers": "python_version >= '3.8'", - "version": "==3.17.0" - } - }, - "develop": {} -} diff --git a/habana/1.11.0/ubi8-python-3.8/README.md b/habana/1.11.0/ubi8-python-3.8/README.md deleted file mode 100644 index 728e56234..000000000 --- a/habana/1.11.0/ubi8-python-3.8/README.md +++ /dev/null @@ -1,26 +0,0 @@ -# Habana Notebook Image -This directory contains the Dockerfile to build a Notebook image compatible with 1.11.0 Habana Version. - -Currently supporting the support matrix: -https://docs.habana.ai/en/latest/Support_Matrix/Support_Matrix.html - -| Firmware | version | -| ------------------------ | ---------------- | -| First-gen Gaudi Firmware | 1.2.3 | -| Gaudi2 Firmware | 1.11.0-fw-45.1.1 | - - -| Python-package | version | -| -------------- | ------- | -| torch | 2.0.1 | -| tensorflow | 2.12.1 | -| pandas | 1.5.3 | -| numpy | 1.23.5 | -| scipy | 1.10.1 | - -Reference: -https://github.com/HabanaAI/Setup_and_Install/tree/1.11.0 - - -For further documentation related to HabanaAI, please refer: -https://docs.habana.ai/en/v1.11.0/Gaudi_Overview/index.html \ No newline at end of file diff --git a/habana/1.11.0/ubi8-python-3.8/kustomize/base/kustomization.yaml b/habana/1.11.0/ubi8-python-3.8/kustomize/base/kustomization.yaml deleted file mode 100644 index 6496fc772..000000000 --- a/habana/1.11.0/ubi8-python-3.8/kustomize/base/kustomization.yaml +++ /dev/null @@ -1,13 +0,0 @@ ---- -apiVersion: kustomize.config.k8s.io/v1beta1 -kind: Kustomization -namePrefix: habana-1-11-0-ubi8-python-3-8- -commonLabels: - app: habana-1-11-0-ubi8-python-3-8 -resources: - - service.yaml - - statefulset.yaml -images: - - name: quay.io/opendatahub/workbench-images - newName: quay.io/opendatahub/workbench-images - newTag: habana-1.11.0-ubi8-python-3.8-2023a_20230925 diff --git a/habana/1.11.0/ubi8-python-3.8/kustomize/base/service.yaml b/habana/1.11.0/ubi8-python-3.8/kustomize/base/service.yaml deleted file mode 100644 index d6f7128e8..000000000 --- a/habana/1.11.0/ubi8-python-3.8/kustomize/base/service.yaml +++ /dev/null @@ -1,15 +0,0 @@ ---- -apiVersion: v1 -kind: Service -metadata: - name: notebook - labels: - app: notebook -spec: - type: ClusterIP - ports: - - port: 8888 - protocol: TCP - targetPort: notebook-port - selector: - app: notebook diff --git a/habana/1.11.0/ubi8-python-3.8/kustomize/base/statefulset.yaml b/habana/1.11.0/ubi8-python-3.8/kustomize/base/statefulset.yaml deleted file mode 100644 index a2b09a138..000000000 --- a/habana/1.11.0/ubi8-python-3.8/kustomize/base/statefulset.yaml +++ /dev/null @@ -1,58 +0,0 @@ ---- -apiVersion: apps/v1 -kind: StatefulSet -metadata: - name: notebook - annotations: - opendatahub.io/username: jovyan - labels: - opendatahub.io/user: jovyan -spec: - replicas: 1 - selector: {} - serviceName: notebook - template: - metadata: - labels: {} - spec: - containers: - - name: notebook - image: quay.io/opendatahub/workbench-images:habana-jupyter-1.11.0-ubi8-python-3.8 - imagePullPolicy: Always - workingDir: /opt/app-root/src - env: - - name: NOTEBOOK_ARGS - value: |- - --ServerApp.port=8888 - --ServerApp.token='' - --ServerApp.password='' - --ServerApp.base_url=/notebook/opendatahub/jovyan - --ServerApp.quit_button=False - --ServerApp.tornado_settings={"user":"jovyan","hub_host":"https://opendatahub.io","hub_prefix":"/notebookController/jovyan"} - ports: - - name: notebook-port - protocol: TCP - containerPort: 8888 - livenessProbe: - tcpSocket: - port: notebook-port - initialDelaySeconds: 5 - periodSeconds: 5 - successThreshold: 1 - failureThreshold: 3 - readinessProbe: - httpGet: - path: /notebook/opendatahub/jovyan/api - port: notebook-port - scheme: HTTP - initialDelaySeconds: 10 - periodSeconds: 5 - successThreshold: 1 - failureThreshold: 3 - resources: - limits: - cpu: 500m - memory: 2Gi - requests: - cpu: 500m - memory: 2Gi diff --git a/habana/1.9.0/ubi8-python-3.8/Dockerfile b/habana/1.9.0/ubi8-python-3.8/Dockerfile deleted file mode 100644 index 83aa34145..000000000 --- a/habana/1.9.0/ubi8-python-3.8/Dockerfile +++ /dev/null @@ -1,152 +0,0 @@ -# Copyright (c) 2022 Habana Labs, Ltd. -# -# SPDX-License-Identifier: Apache-2.0 -# -# HabanaLabs Dockerfile base installer layer for RedHat 8.6 -# Reference: https://github.com/HabanaAI/Setup_and_Install/blob/1.9.0/dockerfiles/Dockerfile_rhel8.6_base_installer -ARG BASE_IMAGE -FROM ${BASE_IMAGE} - -ARG ARTIFACTORY_URL="vault.habana.ai" -ARG VERSION="1.9.0" -ARG REVISION="580" -ARG PT_VERSION="1.13.1" - -USER root - -RUN dnf install -y https://dl.fedoraproject.org/pub/epel/epel-release-latest-8.noarch.rpm && \ - dnf clean all && rm -rf /var/cache/yum - -RUN echo "[appstream]" > /etc/yum.repos.d/CentOS-Linux-AppStream.repo && \ - echo "name=CentOS Linux 8 - AppStream" >> /etc/yum.repos.d/CentOS-Linux-AppStream.repo && \ - echo "baseurl=https://vault.centos.org/\$releasever-stream/AppStream/\$basearch/os/" >> /etc/yum.repos.d/CentOS-Linux-AppStream.repo && \ - echo "gpgcheck=0" >> /etc/yum.repos.d/CentOS-Linux-AppStream.repo - - -RUN echo "[BaseOS]" > /etc/yum.repos.d/CentOS-Linux-BaseOS.repo && \ - echo "name=CentOS Linux 8 - BaseOS" >> /etc/yum.repos.d/CentOS-Linux-BaseOS.repo && \ - echo "baseurl=https://vault.centos.org/\$releasever-stream/BaseOS/\$basearch/os/" >> /etc/yum.repos.d/CentOS-Linux-BaseOS.repo && \ - echo "gpgcheck=0" >> /etc/yum.repos.d/CentOS-Linux-BaseOS.repo - -RUN dnf install -y \ - clang \ - cmake3 \ - cpp \ - gcc \ - gcc-c++ \ - glibc \ - glibc-headers \ - glibc-devel \ - jemalloc \ - libarchive \ - unzip \ - llvm \ - lsof \ - python38-devel \ - openssh-clients \ - libjpeg-devel \ - openssh-server \ - redhat-lsb-core \ - wget \ - git \ - mesa-libGL \ - python3-dnf-plugin-versionlock && \ - # update pkgs (except OS version) for resolving potentials CVEs - dnf versionlock add redhat-release* && \ - dnf update -y && \ - dnf clean all && rm -rf /var/cache/yum - -ENV LD_LIBRARY_PATH=/usr/lib/habanalabs:$LD_LIBRARY_PATH -ENV RDMAV_FORK_SAFE=1 - -RUN echo "[habanalabs]" > /etc/yum.repos.d/habanalabs.repo && \ - echo "name=Habana RH8 Linux repo" >> /etc/yum.repos.d/habanalabs.repo && \ - echo "baseurl=https://${ARTIFACTORY_URL}/artifactory/rhel/8/8.6" >> /etc/yum.repos.d/habanalabs.repo && \ - echo "gpgkey=https://${ARTIFACTORY_URL}/artifactory/rhel/8/8.6/repodata/repomd.xml.key" >> /etc/yum.repos.d/habanalabs.repo - -RUN echo "[powertools]" > /etc/yum.repos.d/powertools.repo && \ - echo "name=powertools" >> /etc/yum.repos.d/powertools.repo && \ - echo "baseurl=https://vault.centos.org/\$releasever-stream/PowerTools/\$basearch/os/" >> /etc/yum.repos.d/powertools.repo && \ - echo "gpgcheck=0" >> /etc/yum.repos.d/powertools.repo - -RUN dnf install -y habanalabs-thunk-"$VERSION"-"$REVISION".el8 \ - habanalabs-firmware-tools-"$VERSION"-"$REVISION".el8 \ - habanalabs-graph-"$VERSION"-"$REVISION".el8 && \ - rm -f /etc/yum.repos.d/habanalabs.repo && rm -rf /tmp/* && \ - dnf clean all && rm -rf /var/cache/yum - -# There is no need to store pip installation files inside docker image -ENV PIP_NO_CACHE_DIR=on -ENV PIP_DISABLE_PIP_VERSION_CHECK=1 - -# Install python packages -# RUN python3.8 -m pip install hpu_media_loader=="${VERSION}"."${REVISION}" -# Install Python packages and Jupyterlab extensions from Pipfile.lock -COPY Pipfile.lock ./ - -RUN echo "Installing softwares and packages" && micropipenv install && rm -f ./Pipfile.lock - -RUN echo "export LANG=en_US.UTF-8" >> /root/.bashrc -RUN export LANG=en_US.UTF-8 -ENV GC_KERNEL_PATH=/usr/lib/habanalabs/libtpc_kernels.so -ENV HABANA_LOGS=/var/log/habana_logs/ -ENV HABANA_SCAL_BIN_PATH=/opt/habanalabs/engines_fw -ENV HABANA_PLUGINS_LIB_PATH=/opt/habanalabs/habana_plugins - -## Install habana pytorch -# Reference: https://github.com/HabanaAI/Setup_and_Install/blob/1.9.0/dockerfiles/Dockerfile_rhel8.6_pytorch_installer -ENV LANG=en_US.UTF-8 -ENV PYTHONPATH=/root:/usr/lib/habanalabs/ - -RUN dnf install -y \ - curl \ - cairo-devel \ - numactl-devel \ - iproute \ - which \ - zlib-devel \ - lapack-devel \ - openblas-devel \ - numactl \ - gperftools-devel && \ - dnf clean all && rm -rf /var/cache/yum - -RUN wget --no-verbose https://"${ARTIFACTORY_URL}"/artifactory/gaudi-pt-modules/"${VERSION}"/"${REVISION}"\ -/pytorch/rhel86/pytorch_modules-v"${PT_VERSION}"_"${VERSION}"_"${REVISION}".tgz && \ - mkdir /root/habanalabs /root/habanalabs/pytorch_temp && \ - tar -xf pytorch_modules-v"${PT_VERSION}"_"${VERSION}"_"${REVISION}".tgz -C /root/habanalabs/pytorch_temp/. && \ - pip3 install /root/habanalabs/pytorch_temp/*.whl && \ - pip3 install $(grep "pytorch-lightning" /root/habanalabs/pytorch_temp/requirements-pytorch.txt) && \ - pip3 install -U habana-lightning-plugins=="${VERSION}"."${REVISION}.1" && \ - /sbin/ldconfig && \ - echo "source /etc/profile.d/habanalabs.sh" >> ~/.bashrc && \ - pip3 uninstall -y pillow && \ - pip3 uninstall -y pillow-simd && \ - pip3 install pillow-simd==7.0.0.post3 && \ - rm -rf /root/habanalabs/pytorch_temp/ && \ - rm -rf pytorch_modules-v"${PT_VERSION}"_"${VERSION}"_"${REVISION}".tgz -ENV LD_PRELOAD=/lib64/libtcmalloc.so.4 -ENV TCMALLOC_LARGE_ALLOC_REPORT_THRESHOLD=7516192768 - -RUN dnf clean all && rm -rf /var/cache/dnf && rm -rf /tmp/* - -## Label the image with details required by ODH -LABEL name="odh-notebook-habana-jupyter-1.9.0-ubi8-python-3.8" \ - summary="Jupyter HabanaAI 1.9.0 notebook image for ODH notebooks" \ - description="Jupyter HabanaAI 1.9.0 notebook image with base Python 3.8 builder image based on ubi8 for ODH notebooks" \ - io.k8s.display-name="Jupyter HabanaAI 1.9.0 notebook image for ODH notebooks" \ - io.k8s.description="Jupyter HabanaAI 1.9.0 notebook image with base Python 3.8 builder image based on ubi8 for ODH notebooks" \ - authoritative-source-url="https://github.com/opendatahub-io/notebooks" \ - io.openshift.build.commit.ref="main" \ - io.openshift.build.source-location="https://github.com/opendatahub-io/notebooks/tree/main/habana/1.9.0/ubi8-python-3.8" \ - io.openshift.build.image="quay.io/opendatahub/workbench-images:habana-jupyter-1.9.0-ubi8-python-3.8" - -# Replace Notebook's launcher, "(ipykernel)" with Python's version 3.x -RUN sed -i -e "s/Python.*/$(python --version| cut -d '.' -f-2)\",/" /opt/app-root/share/jupyter/kernels/python3/kernel.json && \ - # Fix permissions to support pip in Openshift environments \ - chmod -R g+w /opt/app-root/lib/python3.8/site-packages && \ - fix-permissions /opt/app-root -P - -USER 1001 - -WORKDIR /opt/app-root/src \ No newline at end of file diff --git a/habana/1.9.0/ubi8-python-3.8/Pipfile b/habana/1.9.0/ubi8-python-3.8/Pipfile deleted file mode 100644 index b62528de0..000000000 --- a/habana/1.9.0/ubi8-python-3.8/Pipfile +++ /dev/null @@ -1,58 +0,0 @@ -[[source]] -url = "https://pypi.org/simple" -verify_ssl = true -name = "pypi" - -[dev-packages] - -[packages] -# Habana requirements -hpu_media_loader = "==1.9.0.580.1" - -# TensorFlow and useful extensions -habana-tensorflow = "==1.9.0.580.1" -tensorflow = "==2.11.0" -tensorflow-io = "==0.27.0" -tensorboard = "~=2.11.2" -tf2onnx = "~= 1.13.0" - -# Below pkgs are required for pytorch-fork -cffi = "==1.14.6" -typing-extensions = ">=4.0.0" -numpy = "==1.23.5" -ninja = "==1.10.2" -pyyaml = "==5.4.1" -mkl = "==2022.0.2" -mkl-include = "==2022.0.2" -pybind11 = "==2.6.2" - -# Parent image requirements to maintain cohesion -elyra-pipeline-editor-extension = "~=3.15.0" -elyra-python-editor-extension = "~=3.15.0" -elyra-code-snippet-extension = "~=3.15.0" -kfp-tekton = "<1.6.0" -boto3 = "~=1.26.69" -jupyter-bokeh = "~=3.0.5" -kafka-python = "~=2.0.2" -matplotlib = "~=3.6.3" -pandas = "~=1.5.3" -plotly = "~=5.13.0" -scikit-learn = "~=1.2.1" -scipy = "~=1.10.0" -jupyterlab-lsp = "~=3.10.2" -jupyterlab-widgets = "~=3.0.5" -jupyter-resource-usage = "~=0.6.0" - -# Parent image requirements to maintain cohesion -jupyterlab = "~=3.5.3" -jupyter-server = "~=2.1.0" -jupyter-server-proxy = "~=3.2.2" -jupyter-server-terminals = "~=0.4.4" -jupyterlab-git = "~=0.41.0" -nbdime = "~=3.1.1" -nbgitpuller = "~=1.1.1" -# --- -wheel = "~=0.38.4" - -[requires] -python_version = "3.8" diff --git a/habana/1.9.0/ubi8-python-3.8/Pipfile.lock b/habana/1.9.0/ubi8-python-3.8/Pipfile.lock deleted file mode 100644 index 8aec74ac3..000000000 --- a/habana/1.9.0/ubi8-python-3.8/Pipfile.lock +++ /dev/null @@ -1,3601 +0,0 @@ -{ - 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"version": "==2.5.0" - }, - "zipp": { - "hashes": [ - "sha256:0e923e726174922dce09c53c59ad483ff7bbb8e572e00c7f7c46b88556409f31", - "sha256:84e64a1c28cf7e91ed2078bb8cc8c259cb19b76942096c8d7b84947690cabaf0" - ], - "markers": "python_version >= '3.8'", - "version": "==3.17.0" - } - }, - "develop": {} -} diff --git a/habana/1.9.0/ubi8-python-3.8/README.md b/habana/1.9.0/ubi8-python-3.8/README.md deleted file mode 100644 index dc36235a3..000000000 --- a/habana/1.9.0/ubi8-python-3.8/README.md +++ /dev/null @@ -1,27 +0,0 @@ -# Habana Notebook Image -This directory contains the Dockerfile to build a Notebook image compatible with 1.9.0 Habana Version. - -Currently supporting the support matrix: -https://docs.habana.ai/en/latest/Support_Matrix/Support_Matrix_v1.9.0.html - - -| Firmware | version | -| ------------------------ | --------------- | -| First-gen Gaudi Firmware | 1.2.3 | -| Gaudi2 Firmware | 1.9.0-fw-42.0.1 | - - -| Python-package | version | -| -------------- | ------- | -| torch | 1.13.1 | -| tensorflow | 2.11.0 | -| pandas | 1.5.3 | -| numpy | 1.23.5 | -| scipy | 1.10.1 | - -Reference: -https://github.com/HabanaAI/Setup_and_Install/tree/1.9.0 - - -For further documentation related to HabanaAI, please refer: -https://docs.habana.ai/en/v1.9.0/Gaudi_Overview/index.html \ No newline at end of file diff --git a/habana/1.9.0/ubi8-python-3.8/kustomize/base/kustomization.yaml b/habana/1.9.0/ubi8-python-3.8/kustomize/base/kustomization.yaml deleted file mode 100644 index 2c61b5edb..000000000 --- a/habana/1.9.0/ubi8-python-3.8/kustomize/base/kustomization.yaml +++ /dev/null @@ -1,13 +0,0 @@ ---- -apiVersion: kustomize.config.k8s.io/v1beta1 -kind: Kustomization -namePrefix: habana-1-9-0-ubi8-python-3-8- -commonLabels: - app: habana-1-9-0-ubi8-python-3-8 -resources: - - service.yaml - - statefulset.yaml -images: - - name: quay.io/opendatahub/workbench-images - newName: quay.io/opendatahub/workbench-images - newTag: habana-1.9.0-ubi8-python-3.8-2023a_20230925 diff --git a/habana/1.9.0/ubi8-python-3.8/kustomize/base/service.yaml b/habana/1.9.0/ubi8-python-3.8/kustomize/base/service.yaml deleted file mode 100644 index d6f7128e8..000000000 --- a/habana/1.9.0/ubi8-python-3.8/kustomize/base/service.yaml +++ /dev/null @@ -1,15 +0,0 @@ ---- -apiVersion: v1 -kind: Service -metadata: - name: notebook - labels: - app: notebook -spec: - type: ClusterIP - ports: - - port: 8888 - protocol: TCP - targetPort: notebook-port - selector: - app: notebook diff --git a/habana/1.9.0/ubi8-python-3.8/kustomize/base/statefulset.yaml b/habana/1.9.0/ubi8-python-3.8/kustomize/base/statefulset.yaml deleted file mode 100644 index 8c3bdea0c..000000000 --- a/habana/1.9.0/ubi8-python-3.8/kustomize/base/statefulset.yaml +++ /dev/null @@ -1,58 +0,0 @@ ---- -apiVersion: apps/v1 -kind: StatefulSet -metadata: - name: notebook - annotations: - opendatahub.io/username: jovyan - labels: - opendatahub.io/user: jovyan -spec: - replicas: 1 - selector: {} - serviceName: notebook - template: - metadata: - labels: {} - spec: - containers: - - name: notebook - image: quay.io/opendatahub/workbench-images:habana-jupyter-1.9.0-ubi8-python-3.8 - imagePullPolicy: Always - workingDir: /opt/app-root/src - env: - - name: NOTEBOOK_ARGS - value: |- - --ServerApp.port=8888 - --ServerApp.token='' - --ServerApp.password='' - --ServerApp.base_url=/notebook/opendatahub/jovyan - --ServerApp.quit_button=False - --ServerApp.tornado_settings={"user":"jovyan","hub_host":"https://opendatahub.io","hub_prefix":"/notebookController/jovyan"} - ports: - - name: notebook-port - protocol: TCP - containerPort: 8888 - livenessProbe: - tcpSocket: - port: notebook-port - initialDelaySeconds: 5 - periodSeconds: 5 - successThreshold: 1 - failureThreshold: 3 - readinessProbe: - httpGet: - path: /notebook/opendatahub/jovyan/api - port: notebook-port - scheme: HTTP - initialDelaySeconds: 10 - periodSeconds: 5 - successThreshold: 1 - failureThreshold: 3 - resources: - limits: - cpu: 500m - memory: 2Gi - requests: - cpu: 500m - memory: 2Gi diff --git a/habana/README.md b/habana/README.md index ff5f5361a..5a653f09b 100644 --- a/habana/README.md +++ b/habana/README.md @@ -2,7 +2,6 @@ This directory contains the Dockerfiles to build Notebook images compatible with HabanaAI Gaudi Devices. Currently supporting the support matrix: -https://docs.habana.ai/en/latest/Support_Matrix/Support_Matrix_v1.9.0.html https://docs.habana.ai/en/latest/Support_Matrix/Support_Matrix_v1.10.0.html https://docs.habana.ai/en/latest/Support_Matrix/Support_Matrix_v1.13.0.html https://docs.habana.ai/en/latest/Support_Matrix/Support_Matrix.html @@ -22,14 +21,10 @@ user can include the habanaAI compatible image directly to Opendatahub. ### Reference -https://github.com/HabanaAI/Setup_and_Install/tree/1.9.0 https://github.com/HabanaAI/Setup_and_Install/tree/1.10.0 -https://github.com/HabanaAI/Setup_and_Install/tree/1.11.0 https://github.com/HabanaAI/Setup_and_Install/tree/1.13.0 For further documentation related to HabanaAI, please refer: -https://docs.habana.ai/en/v1.9.0/Gaudi_Overview/index.html https://docs.habana.ai/en/v1.10.0/Gaudi_Overview/index.html -https://docs.habana.ai/en/v1.11.0/Gaudi_Overview/index.html https://docs.habana.ai/en/v1.13.0/Gaudi_Overview/index.html diff --git a/jupyter/trustyai/ubi8-python-3.8/Dockerfile b/jupyter/trustyai/ubi8-python-3.8/Dockerfile deleted file mode 100644 index d69564170..000000000 --- a/jupyter/trustyai/ubi8-python-3.8/Dockerfile +++ /dev/null @@ -1,33 +0,0 @@ -ARG BASE_IMAGE -FROM ${BASE_IMAGE} - -LABEL name="odh-notebook-jupyter-trustyai-ubi8-python-3.8" \ - summary="Jupyter trustyai notebook image for ODH notebooks" \ - description="Jupyter trustyai notebook image with base Python 3.8 builder image based on UBI8 for ODH notebooks" \ - io.k8s.display-name="Jupyter trustyai notebook image for ODH notebooks" \ - io.k8s.description="Jupyter trustyai notebook image with base Python 3.8 builder image based on UBI8 for ODH notebooks" \ - authoritative-source-url="https://github.com/opendatahub-io/notebooks" \ - io.openshift.build.commit.ref="main" \ - io.openshift.build.source-location="https://github.com/opendatahub-io/notebooks/tree/main/jupyter/trustyai/ubi8-python-3.8" \ - io.openshift.build.image="quay.io/opendatahub/workbench-images:jupyter-trustyai-ubi8-python-3.8" - -USER 0 - -# Install jre that is needed to run the trustyai library -RUN INSTALL_PKGS="java-17-openjdk" && \ - yum install -y --setopt=tsflags=nodocs $INSTALL_PKGS && \ - yum -y clean all --enablerepo='*' - -USER 1001 - -# Install Python packages and Jupyterlab extensions from Pipfile.lock -COPY Pipfile.lock ./ - -RUN echo "Installing softwares and packages" && micropipenv install && rm -f ./Pipfile.lock - -# Replace Notebook's launcher, "(ipykernel)" with Python's version 3.x.y -RUN sed -i -e "s/Python.*/$(python --version | cut -d '.' -f-2)\",/" /opt/app-root/share/jupyter/kernels/python3/kernel.json - -# Fix permissions to support pip in Openshift environments -RUN chmod -R g+w /opt/app-root/lib/python3.8/site-packages && \ - fix-permissions /opt/app-root -P diff --git a/jupyter/trustyai/ubi8-python-3.8/Pipfile b/jupyter/trustyai/ubi8-python-3.8/Pipfile deleted file mode 100644 index ca955758b..000000000 --- a/jupyter/trustyai/ubi8-python-3.8/Pipfile +++ /dev/null @@ -1,51 +0,0 @@ -[[source]] -url = "https://pypi.org/simple" -verify_ssl = true -name = "pypi" - -[dev-packages] - -[packages] -# TrustyAI packages -trustyai = "~=0.6.0" -# Datascience and useful extensions -boto3 = "~=1.34.50" -kafka-python = "~=2.0.2" -matplotlib = "~=3.6.3" -numpy = "~=1.24.4" # Last version to support Python 3.8 -pandas = "~=1.5.3" -plotly = "~=5.20.0" -scikit-learn = "~=1.3.2" -scipy = "~=1.10.1" -skl2onnx = "~=1.16.0" -onnxconverter-common = "~=1.13.0" # Required for skl2onnx, as upgraded version is not compatible with protobuf -codeflare-sdk = "~=0.16.3" -# DB connectors -pymongo = "~=4.6.2" -psycopg = "~=3.1.18" -pyodbc = "~=5.1.0" -mysql-connector-python = "~=8.3.0" -# JupyterLab packages -odh-elyra = "~=3.16.7" -jupyterlab = "~=3.6.7" # Wait on upgrade till plugins are ready -jupyter-bokeh = "~=3.0.7" # Upgrade would bring in jupyterlab 4 -jupyter-server = "~=2.13.0" -jupyter-server-proxy = "~=4.0.0" # Upgrade would bring in jupyterlab 4 -jupyter-server-terminals = "~=0.5.3" -jupyterlab-git = "~=0.44.0" -jupyterlab-lsp = "~=4.2.0" -jupyterlab-widgets = "~=3.0.10" -jupyter-resource-usage = "~=0.7.2" -nbdime = "~=3.2.1" -nbgitpuller = "~=1.2.0" -# pycodestyle is dependency of below packages -# and to achieve compatible of pycodestyle with python-lsp-server[all] -# pinned the below packages -autopep8 = "~=2.0.4" -flake8 = "~=7.0.0" -# Base packages -wheel = "~=0.43.0" -setuptools = "~=69.2.0" - -[requires] -python_version = "3.8" diff --git a/jupyter/trustyai/ubi8-python-3.8/Pipfile.lock b/jupyter/trustyai/ubi8-python-3.8/Pipfile.lock deleted file mode 100644 index dc94783dc..000000000 --- a/jupyter/trustyai/ubi8-python-3.8/Pipfile.lock +++ /dev/null @@ -1,4164 +0,0 @@ -{ - "_meta": { - "hash": { - "sha256": "02b99f235b13cdbdf59ff35af193c9062cf9d9d08147af4269190d3e750d8858" - }, - "pipfile-spec": 6, - "requires": { - "python_version": "3.8" - }, - 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/dev/null @@ -1,13 +0,0 @@ ---- -apiVersion: kustomize.config.k8s.io/v1beta1 -kind: Kustomization -namePrefix: jupyter-trustyai-ubi8-python-3-8- -commonLabels: - app: jupyter-trustyai-ubi8-python-3-8 -resources: - - service.yaml - - statefulset.yaml -images: - - name: quay.io/opendatahub/workbench-images - newName: quay.io/opendatahub/workbench-images - newTag: cuda-jupyter-trustyai-ubi8-python-3.8 diff --git a/jupyter/trustyai/ubi8-python-3.8/kustomize/base/service.yaml b/jupyter/trustyai/ubi8-python-3.8/kustomize/base/service.yaml deleted file mode 100644 index d6f7128e8..000000000 --- a/jupyter/trustyai/ubi8-python-3.8/kustomize/base/service.yaml +++ /dev/null @@ -1,15 +0,0 @@ ---- -apiVersion: v1 -kind: Service -metadata: - name: notebook - labels: - app: notebook -spec: - type: ClusterIP - ports: - - port: 8888 - protocol: TCP - targetPort: notebook-port - selector: - app: notebook diff --git a/jupyter/trustyai/ubi8-python-3.8/kustomize/base/statefulset.yaml b/jupyter/trustyai/ubi8-python-3.8/kustomize/base/statefulset.yaml deleted file mode 100644 index 94283f81c..000000000 --- a/jupyter/trustyai/ubi8-python-3.8/kustomize/base/statefulset.yaml +++ /dev/null @@ -1,58 +0,0 @@ ---- -apiVersion: apps/v1 -kind: StatefulSet -metadata: - name: notebook - annotations: - opendatahub.io/username: jovyan - labels: - opendatahub.io/user: jovyan -spec: - replicas: 1 - selector: {} - serviceName: notebook - template: - metadata: - labels: {} - spec: - containers: - - name: notebook - image: quay.io/opendatahub/workbench-images:jupyter-trustyai-ubi8-python-3.8 - imagePullPolicy: Always - workingDir: /opt/app-root/src - env: - - name: NOTEBOOK_ARGS - value: |- - --ServerApp.port=8888 - --ServerApp.token='' - --ServerApp.password='' - --ServerApp.base_url=/notebook/opendatahub/jovyan - --ServerApp.quit_button=False - --ServerApp.tornado_settings={"user":"jovyan","hub_host":"https://opendatahub.io","hub_prefix":"/notebookController/jovyan"} - ports: - - 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-43,6,0,1 -88,2,1,1 -47,1,1,0 -71,4,1,1 -90,4,1,0 -68,0,1,0 -17,7,1,0 -5,3,1,0 -77,4,1,0 -5,2,1,0 -4,7,0,0 -73,3,0,0 -66,0,0,0 -21,3,1,0 -62,6,1,0 -27,7,1,0 -52,3,1,0 -58,5,0,0 -22,4,1,0 -12,4,1,0 -13,0,1,0 -89,6,1,0 -84,0,1,0 -72,6,1,0 -36,2,1,0 -38,1,1,0 -82,1,1,1 -85,5,1,1 -57,0,1,0 -23,1,1,0 -65,4,1,0 -61,6,1,1 -49,4,0,1 -63,2,1,0 -3,7,1,0 -80,1,1,1 -63,0,0,0 -70,5,1,0 -8,0,1,0 -55,7,1,0 -30,4,1,0 -86,5,1,0 -76,3,1,0 -73,3,1,1 -34,1,0,0 -49,5,1,0 -24,1,1,0 -39,1,1,0 -98,7,1,1 -53,2,1,1 -22,0,0,1 -19,3,1,1 -27,3,1,0 -10,6,1,0 -44,2,1,0 -34,6,0,1 -15,3,1,0 -72,0,1,1 -90,3,0,0 -50,4,1,0 -1,1,1,0 -90,2,1,0 -57,2,1,1 -75,3,0,0 -28,5,1,0 -48,2,0,1 -64,0,1,0 -71,2,1,0 -88,1,1,0 -49,7,1,0 -76,7,0,1 -90,7,1,0 -24,0,1,0 -76,3,1,0 -33,2,1,0 -84,2,1,0 -62,4,1,0 -84,5,1,1 -45,1,1,0 -90,5,1,0 -46,5,1,0 -62,1,1,0 -3,2,0,0 -50,4,0,0 -52,6,0,1 -68,5,1,0 -64,3,1,0 -43,3,1,0 -84,3,1,1 -31,2,1,1 -51,1,1,1 -72,4,0,0 -83,4,1,0 -11,7,1,0 -77,5,1,0 -45,7,1,0 -8,6,1,0 -2,7,1,0 -67,7,1,1 -36,7,1,0 -35,7,1,0 -39,0,1,0 -38,4,0,0 -21,5,1,0 -19,5,1,0 -28,0,1,0 -18,7,1,0 -75,1,1,0 -82,7,0,0 -12,4,1,1 -65,4,1,0 -9,7,1,0 -96,2,0,0 -44,3,1,1 -36,5,1,0 -48,2,0,0 -9,3,1,0 -15,7,0,0 -87,7,0,0 -9,1,1,0 -100,4,1,0 -20,7,0,0 -80,6,1,0 -33,0,1,0 -14,6,0,0 -54,2,1,1 -25,2,1,1 -9,6,1,0 -5,5,1,0 -38,0,1,0 -49,5,1,0 -73,4,0,0 -33,0,1,0 -93,6,0,0 -98,7,0,0 -5,4,0,0 -54,1,1,0 -37,2,0,0 -45,7,1,0 -86,5,0,1 -25,1,1,0 -25,3,1,0 -15,4,0,0 -70,1,1,1 -35,6,1,1 -85,0,1,0 -94,4,1,0 -93,0,1,0 -27,7,1,0 -36,6,1,1 -80,2,1,1 -72,0,1,1 -88,2,1,1 -90,1,1,0 -10,7,1,0 -8,7,1,0 -6,0,0,0 -33,7,1,0 -12,0,1,0 -13,2,1,0 -86,7,1,0 -52,2,1,0 -52,4,1,0 -1,6,0,0 -61,7,1,1 -47,5,1,1 -94,6,1,1 -76,3,0,1 -27,7,1,0 -77,7,1,0 -67,4,1,0 -39,3,1,0 -46,2,1,1 -47,6,1,0 -56,7,1,0 -22,1,1,0 -49,7,1,0 -86,2,1,1 -50,4,1,0 -75,0,0,0 -94,7,1,0 -38,2,0,1 -2,7,1,0 -76,6,1,1 -54,7,1,1 -74,1,1,1 -92,0,1,1 -87,7,1,0 -2,0,1,0 -50,3,1,0 -20,5,1,0 -34,2,1,0 -25,2,1,1 -73,5,1,1 -58,3,1,1 diff --git a/jupyter/trustyai/ubi8-python-3.8/test/test_notebook.ipynb b/jupyter/trustyai/ubi8-python-3.8/test/test_notebook.ipynb deleted file mode 100644 index f07625d65..000000000 --- a/jupyter/trustyai/ubi8-python-3.8/test/test_notebook.ipynb +++ /dev/null @@ -1,304 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "id": "49ba258a-8d33-42d6-b793-b619543ce246", - "metadata": {}, - "outputs": [], - "source": [ - "import unittest\n", - "from unittest import mock\n", - "import pandas as pd\n", - "import trustyai as trustyai\n", - "from platform import python_version\n", - "from trustyai.metrics.fairness.group import statistical_parity_difference\n", - "from trustyai.model import output\n", - "from pandas.testing import assert_frame_equal\n", - "import numpy as np\n", - "import scipy\n", - "import sklearn\n", - "from scipy import special\n", - "from scipy import integrate\n", - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "import matplotlib\n", - "import matplotlib.pyplot as plt\n", - "import kafka\n", - "from kafka import KafkaConsumer, KafkaProducer, TopicPartition\n", - "from kafka.producer.buffer import SimpleBufferPool\n", - "from kafka import KafkaConsumer\n", - "from kafka.errors import KafkaConfigurationError\n", - "import boto3\n", - "import jupyterlab as jp\n", - "import nbdime\n", - "import nbgitpuller\n", - "\n", - "\n", - "def get_major_minor(s):\n", - " return '.'.join(s.split('.')[:2])\n", - "\n", - "class TestPythonVersion(unittest.TestCase):\n", - " def test_version(self):\n", - " expected_major_minor = '3.8'\n", - " actual_major_minor = get_major_minor(python_version())\n", - " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n", - "\n", - "class TestDependenciesVersions(unittest.TestCase):\n", - " def test_jupyter_version(self):\n", - " expected_major_minor = '3.6'\n", - " actual_major_minor = get_major_minor(jp.__version__)\n", - " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n", - "\n", - " def test_nbgitpuller_version(self):\n", - " expected_major_minor = '1.2'\n", - " actual_major_minor = get_major_minor(nbgitpuller.__version__)\n", - " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n", - "\n", - " def test_nbdime_version(self):\n", - " expected_major_minor = '3.2'\n", - " actual_major_minor = get_major_minor(nbdime.__version__)\n", - " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n", - "\n", - "class TestPandas(unittest.TestCase):\n", - " def test_version(self):\n", - " expected_major_minor = '1.5'\n", - " actual_major_minor = get_major_minor(pd.__version__)\n", - " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n", - "\n", - " def test_dataframe_creation(self):\n", - " sample_df = pd.DataFrame({'a': [1, 2], 'b': [3, 4]})\n", - " self.assertIsInstance(sample_df, pd.core.frame.DataFrame)\n", - "\n", - " def test_equal_dataframes(self):\n", - " df1 = pd.DataFrame({'a': [1, 2], 'b': [3, 4]})\n", - " df2 = pd.DataFrame({'a': [1, 2], 'b': [3.0, 4.0]})\n", - " self.assertIsNone(assert_frame_equal(df1, df2, check_dtype=False), \"Dataframes provided are unequal\")\n", - "\n", - " def test_unequal_dataframes(self):\n", - " df1 = pd.DataFrame({'a': [1, 2], 'b': [3, 4]})\n", - " df2 = pd.DataFrame({'a': [1, 2], 'b': [3.0, 5.0]})\n", - " with self.assertRaises(AssertionError):\n", - " assert_frame_equal(df1, df2, check_dtype=False)\n", - "\n", - " def test_dataframe_shape(self):\n", - " random_data = {\n", - " 'apples': [3, 2, 0, 1], \n", - " 'oranges': [0, 3, 7, 2]\n", - " }\n", - " sample_df = pd.DataFrame(random_data)\n", - " self.assertEqual(sample_df.shape, (4,2))\n", - "\n", - " def test_index_out_of_bounds(self):\n", - " random_data = {\n", - " 'apples': [3, 2, 0, 1], \n", - " 'oranges': [0, 3, 7, 2]\n", - " }\n", - " sample_df = pd.DataFrame(random_data)\n", - " with self.assertRaises(IndexError):\n", - " print(sample_df.iat[0,3])\n", - "\n", - " def test_sampling(self):\n", - " random_data = {\n", - " 'apples': [3, 2, 0, 1], \n", - " 'oranges': [0, 3, 7, 2]\n", - " }\n", - " sample_df = pd.DataFrame(random_data)\n", - " half_sampled_df = sample_df.sample(frac = 0.5)\n", - " self.assertEqual(len(half_sampled_df), 2)\n", - "\n", - " def test_drop(self):\n", - " random_data = {\n", - " 'apples': [3, 2, 0, 1], \n", - " 'oranges': [0, 3, 7, 2]\n", - " }\n", - " sample_df = pd.DataFrame(random_data)\n", - " self.assertEqual(sample_df.drop(columns=['apples']).shape, (4, 1))\n", - "\n", - "class TestNumpy(unittest.TestCase):\n", - " def test_version(self):\n", - " expected_major_minor = '1.24'\n", - " actual_major_minor = get_major_minor(np.__version__)\n", - " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n", - "\n", - " def test_array_creation(self):\n", - " arr = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9])\n", - " self.assertIsInstance(arr, np.ndarray)\n", - " \n", - " def test_array_opeartions(self):\n", - " arr = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9])\n", - "\n", - " self.assertEqual(arr.sum(), 45)\n", - " self.assertEqual(len(arr), 9)\n", - " self.assertEqual(arr.max(), 9)\n", - " self.assertEqual(arr.min(), 1)\n", - "\n", - " def test_array_statistical_functions(self):\n", - " arr = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9])\n", - "\n", - " self.assertEqual(np.median(arr), 5)\n", - " self.assertEqual(np.mean(arr), 5)\n", - " self.assertEqual(np.std(arr), 2.581988897471611)\n", - "\n", - "class TestScipy(unittest.TestCase):\n", - " def test_version(self):\n", - " expected_major_minor = '1.10'\n", - " actual_major_minor = get_major_minor(scipy.__version__)\n", - " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n", - "\n", - " def test_scipy_special(self):\n", - " self.assertEqual(special.exp10(3), 1000.0)\n", - " self.assertEqual(special.exp2(10), 1024.0)\n", - " self.assertEqual(special.sindg(90), 1)\n", - " self.assertEqual(special.cosdg(0), 1)\n", - "\n", - " def test_scipy_integrate(self):\n", - " a= lambda x:special.exp10(x)\n", - " b = integrate.quad(a, 0, 1)\n", - " self.assertEqual(b, (3.9086503371292665, 4.3394735994897923e-14))\n", - "\n", - "class TestSKLearn(unittest.TestCase):\n", - " def test_version(self):\n", - " expected_major_minor = '1.3'\n", - " actual_major_minor = get_major_minor(sklearn.__version__)\n", - " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n", - " \n", - " def test_sklearn_dataset(self):\n", - " data_set = datasets.load_iris()\n", - " self.assertIsInstance(data_set, sklearn.utils._bunch.Bunch)\n", - "\n", - " def test_sklearn_train_test_split(self):\n", - " my_iris = datasets.load_iris()\n", - " X = my_iris.data\n", - " Y = my_iris.target\n", - "\n", - " X_traindata, X_testdata, Y_traindata, Y_testdata = train_test_split(\n", - " X, Y, test_size = 0.3, random_state = 1)\n", - " \n", - " self.assertEqual(X_traindata.shape, (105, 4))\n", - " self.assertEqual(X_testdata.shape, (45, 4))\n", - " self.assertEqual(Y_traindata.shape, (105,))\n", - " self.assertEqual(Y_testdata.shape, (45,))\n", - "\n", - "class TestMatplotlib(unittest.TestCase):\n", - "\n", - " def test_version(self):\n", - " expected_major_minor = '3.6'\n", - " actual_major_minor = get_major_minor(matplotlib.__version__)\n", - " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n", - "\n", - " def test_matplotlib_figure_creation(self):\n", - " self.assertIsInstance(plt.figure(figsize=(8,5)), matplotlib.figure.Figure)\n", - "\n", - "class TestKafkaPython(unittest.TestCase):\n", - "\n", - " def test_version(self):\n", - " expected_major_minor = '2.0'\n", - " actual_major_minor = get_major_minor(kafka.__version__)\n", - " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n", - "\n", - " def test_buffer_pool(self):\n", - " pool = SimpleBufferPool(1000, 1000)\n", - " \n", - " buf1 = pool.allocate(1000, 1000)\n", - " message = ''.join(map(str, range(100)))\n", - " buf1.write(message.encode('utf-8'))\n", - " pool.deallocate(buf1)\n", - " \n", - " buf2 = pool.allocate(1000, 1000)\n", - " self.assertEqual(buf2.read(), b'')\n", - "\n", - " def test_session_timeout_larger_than_request_timeout_raises(self):\n", - " with self.assertRaises(KafkaConfigurationError):\n", - " KafkaConsumer(bootstrap_servers='localhost:9092', api_version=(0, 9), group_id='foo', session_timeout_ms=50000, request_timeout_ms=40000)\n", - "\n", - "class TestBoto3(unittest.TestCase):\n", - "\n", - " def test_version(self):\n", - " expected_major_minor = '1.34'\n", - " actual_major_minor = get_major_minor(boto3.__version__)\n", - " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n", - "\n", - " def setUp(self):\n", - " self.session_patch = mock.patch('boto3.Session', autospec=True)\n", - " self.Session = self.session_patch.start()\n", - "\n", - " def tearDown(self):\n", - " boto3.DEFAULT_SESSION = None\n", - " self.session_patch.stop()\n", - "\n", - " def test_create_default_session(self):\n", - " session = self.Session.return_value\n", - "\n", - " boto3.setup_default_session()\n", - "\n", - " self.assertEqual(boto3.DEFAULT_SESSION, session)\n", - "\n", - "class TestTrustyaiNotebook(unittest.TestCase):\n", - "\n", - " def test_trustyai_version(self): \n", - " expected_major_minor = '0.6' # Set the expected version (x.y) \n", - " actual_major_minor = get_major_minor(trustyai.__version__)\n", - " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n", - "\n", - " def test_fairnessmetrics(self):\n", - " url_unbiased = \"https://raw.githubusercontent.com/opendatahub-io/notebooks/main/jupyter/trustyai/ubi8-python-3.8/test/income-unbiased.csv\"\n", - " nobias = pd.read_csv(url_unbiased, index_col=False)\n", - " \n", - " nobias = pd.read_csv(url_unbiased, index_col=False)\n", - " nobias.groupby(['gender', 'income'])['income'].count()\n", - " nobias.groupby(['gender', 'income'])['income'].count().unstack().plot.bar()\n", - " \n", - " nobias_privileged = nobias[nobias.gender == 1]\n", - " nobias_unprivileged = nobias[nobias.gender == 0]\n", - " favorable = output(\"income\", dtype=\"number\", value=1)\n", - " score = statistical_parity_difference(privileged=nobias_privileged,\n", - " unprivileged=nobias_unprivileged,\n", - " favorable=[favorable])\n", - " self.assertTrue(score >= 0.0036255104824703954) \n", - " print(\"On the test_fairness_metrics test case the statistical_parity_difference score for this dataset is between the threshold [-0.1,0.1], which classifies the model as reasonably fair.\")\n", - " \n", - " def test_datafairness(self):\n", - " url_biased = \"https://raw.githubusercontent.com/opendatahub-io/notebooks/main/jupyter/trustyai/ubi8-python-3.8/test/income-biased.csv\"\n", - " bias = pd.read_csv(url_biased, index_col=False)\n", - " \n", - " # Perform the data manipulations \n", - " grouped_counts = bias.groupby(['gender', 'income'])['income'].count()\n", - " unstacked_counts = bias.groupby(['gender', 'income'])['income'].count().unstack()\n", - " unstacked_counts.plot.bar()\n", - "\n", - " bias_privileged = bias[bias.gender == 1]\n", - " bias_unprivileged = bias[bias.gender == 0]\n", - " favorable = output(\"income\", dtype=\"number\", value=1)\n", - " score = statistical_parity_difference(privileged=bias_privileged,\n", - " unprivileged=bias_unprivileged,\n", - " favorable=[favorable])\n", - " self.assertTrue(score <= -0.15670061634672994)\n", - " print(\"On the test_bias_metrics test case the statistical_parity_difference score for this dataset, as expected, is outside the threshold [-0.1,0.1], which classifies the model as unfair.\")\n", - " \n", - "unittest.main(argv=[''], verbosity=2, exit=False)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.8", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.16" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -}