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Tyler Titsworth
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Merge branch 'main' into tylertitsworth/revert-coverage-hardening
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‎enterprise/redhat/openshift-ai/gaudi/README.md

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@@ -6,7 +6,8 @@ Intel® Gaudi AI Software Tools for OpenShift AI(RedHat OpenShift Data Science/R
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| Notebook Container Name | Tools | Image Name |
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| -----------------------------| ------------- | ------------- |
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| Intel Gaudi Notebook Container | [Intel® Gaudi Software Stack*](https://docs.habana.ai/en/latest/Installation_Guide/Bare_Metal_Fresh_OS.html), [Intel® Gaudi PyTorch](https://docs.habana.ai/en/latest/PyTorch/index.html), [Intel® Gaudi vLLM](https://github.com/HabanaAI/vllm-fork.git), [Intel® Gaudi DeepSpeed](https://github.com/HabanaAI/DeepSpeed) | [`registry.connect.redhat.com/intel/gaudi-notebooks:1.17.0-495-rhel-9.2`](registry.connect.redhat.com/intel/gaudi-notebooks@sha256:a62baf968caa7dd23b7f4cdcddc26e109d894f1436e247b4ea1e2fb4a5c94d54) |
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| Intel Gaudi Notebook Container 1.17.0-495 | [Intel® Gaudi Software Stack*](https://docs.habana.ai/en/latest/Installation_Guide/Bare_Metal_Fresh_OS.html), [Intel® Gaudi PyTorch](https://docs.habana.ai/en/latest/PyTorch/index.html), [Intel® Gaudi vLLM](https://github.com/HabanaAI/vllm-fork.git), [Intel® Gaudi DeepSpeed](https://github.com/HabanaAI/DeepSpeed) | [`registry.connect.redhat.com/intel/gaudi-notebooks:1.17.0-495-rhel-9.2`](registry.connect.redhat.com/intel/gaudi-notebooks@sha256:a62baf968caa7dd23b7f4cdcddc26e109d894f1436e247b4ea1e2fb4a5c94d54) |
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| Intel Gaudi Notebook Container 1.17.1-40 | [Intel® Gaudi Software Stack*](https://docs.habana.ai/en/latest/Installation_Guide/Bare_Metal_Fresh_OS.html), [Intel® Gaudi PyTorch](https://docs.habana.ai/en/latest/PyTorch/index.html), [Intel® Gaudi vLLM](https://github.com/HabanaAI/vllm-fork.git), [Intel® Gaudi DeepSpeed](https://github.com/HabanaAI/DeepSpeed) | [`registry.connect.redhat.com/intel/gaudi-notebooks:1.17.1-40-rhel-9.2`](registry.connect.redhat.com/intel/gaudi-notebooks@sha256:00ca535956b7fcdd91e71bc4a3cd4493ddcaceea9b8d7bb95a7edc0e1cb0bac4) |
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## Run Gaudi Notebook Containers
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‎enterprise/redhat/openshift-ai/gaudi/crd-sample.yaml

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apiVersion: aitools.intel/v1
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kind: GaudiAIToolsContainer
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metadata:
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name: intel-gaudi-1.17.0-495
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labels:
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gaudi-software-version: '1.17.1-40'
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name: intel-gaudi
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spec:
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nameOverride: ""
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fullnameOverride: ""
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imagespec:
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registry: registry.connect.redhat.com
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repo: intel/gaudi-notebooks
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tags:
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- gaudi_software: "1.17.0-495"
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- gaudi_software: "1.17.1-40"
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rhel_os: "9.2"
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namespace: redhat-ods-applications

‎enterprise/redhat/openshift-ai/gaudi/docker/Dockerfile.rhel9.2

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@@ -85,7 +85,7 @@ ENV FI_EFA_USE_DEVICE_RDMA=1
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RUN echo "[habanalabs]" > /etc/yum.repos.d/habanalabs.repo && \
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echo "name=Habana RH9 Linux repo" >> /etc/yum.repos.d/habanalabs.repo && \
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echo "baseurl=https://${ARTIFACTORY_URL}/artifactory/rhel/9/9.2" >> /etc/yum.repos.d/habanalabs.repo && \
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echo "gpgkey=https://${ARTIFACTORY_URL}/artifactory/rhel/9/9.2/repodata/repomd.xml.key" >> /etc/yum.repos.d/habanalabs.repo && \
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echo "gpgkey=https://${ARTIFACTORY_URL}/artifactory/api/v2/repositories/rhel/keyPairs/primary/public" >> /etc/yum.repos.d/habanalabs.repo && \
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echo "gpgcheck=1" >> /etc/yum.repos.d/habanalabs.repo
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# for Habana GPG key with SHA-1 signature

‎enterprise/redhat/openshift-ai/gaudi/docker/docker-compose.yaml

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https_proxy: ${https_proxy}
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no_proxy: ""
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ARTIFACTORY_URL: ${ARTIFACTORY_URL:-vault.habana.ai}
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VERSION: ${VERSION:-1.17.0}
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REVISION: ${REVISION:-495}
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VERSION: ${VERSION:-1.17.1}
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REVISION: ${REVISION:-40}
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context: .
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target: gaudi-base
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dockerfile: Dockerfile.rhel${RHEL_OS:-9.2}
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image: ${REGISTRY}/${REPO}:b-${GITHUB_RUN_NUMBER:-0}-gaudi-base-${VERSION:-1.17.0}-${REVISION:-495}-rhel-${RHEL_OS:-9.2}
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image: ${REGISTRY}/${REPO}:b-${GITHUB_RUN_NUMBER:-0}-gaudi-base-${VERSION:-1.17.1}-${REVISION:-40}-rhel-${RHEL_OS:-9.2}
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entrypoint: ["/bin/bash", "-c"]
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command: >
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"hl-smi"
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https_proxy: ${https_proxy}
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no_proxy: ""
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ARTIFACTORY_URL: ${ARTIFACTORY_URL:-vault.habana.ai}
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VERSION: ${VERSION:-1.17.0}
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REVISION: ${REVISION:-495}
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VERSION: ${VERSION:-1.17.1}
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REVISION: ${REVISION:-40}
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context: .
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target: gaudi-pytorch
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dockerfile: Dockerfile.rhel${RHEL_OS:-9.2}
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image: ${REGISTRY}/${REPO}:b-${GITHUB_RUN_NUMBER:-0}-gaudi-pytorch-${VERSION:-1.17.0}-${REVISION:-495}-rhel-${RHEL_OS:-9.2}
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image: ${REGISTRY}/${REPO}:b-${GITHUB_RUN_NUMBER:-0}-gaudi-pytorch-${VERSION:-1.17.1}-${REVISION:-40}-rhel-${RHEL_OS:-9.2}
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entrypoint: ["/bin/bash", "-c"]
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command: >
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"python -c 'import torch'"
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https_proxy: ${https_proxy}
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no_proxy: ""
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ARTIFACTORY_URL: ${ARTIFACTORY_URL:-vault.habana.ai}
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VERSION: ${VERSION:-1.17.0}
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REVISION: ${REVISION:-495}
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VERSION: ${VERSION:-1.17.1}
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REVISION: ${REVISION:-40}
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context: .
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target: gaudi-notebooks
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dockerfile: Dockerfile.rhel${RHEL_OS:-9.2}
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image: ${REGISTRY}/${REPO}:b-${GITHUB_RUN_NUMBER:-0}-gaudi-notebook-${VERSION:-1.17.0}-${REVISION:-495}-rhel-${RHEL_OS:-9.2}
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image: ${REGISTRY}/${REPO}:b-${GITHUB_RUN_NUMBER:-0}-gaudi-notebook-${VERSION:-1.17.1}-${REVISION:-40}-rhel-${RHEL_OS:-9.2}
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entrypoint: ["/bin/bash", "-c"]
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command: >
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"python -m jupyter notebook --version"

‎enterprise/redhat/openshift-ai/gaudi/docker/requirements.txt

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# LLM Packages
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deepspeed @ git+https://github.com/HabanaAI/DeepSpeed.git@1.17.0
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deepspeed @ git+https://github.com/HabanaAI/DeepSpeed.git@1.17.1
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# Datascience and useful extensions
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kafka-python~=2.0.2

‎enterprise/redhat/openshift-ai/gaudi/docker/tests/tests.yaml

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# limitations under the License.
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test-jupyter-server:
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img: ${REGISTRY}/${REPO}:b-${GITHUB_RUN_NUMBER:-0}-gaudi-base-${VERSION:-1.17.0}-${REVISION:-495}-rhel-${RHEL_OS:-9.2}
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img: ${REGISTRY}/${REPO}:b-${GITHUB_RUN_NUMBER:-0}-gaudi-base-${VERSION:-1.17.1}-${REVISION:-40}-rhel-${RHEL_OS:-9.2}
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cmd: bash /opt/app-root/notebook-test.sh
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serving: True
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volumes:

‎pytorch/hf-genai-requirements.txt

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accelerate==0.34.2
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datasets==3.0.0
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datasets==3.0.1
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einops==0.8.0
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evaluate==0.4.3
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onnxruntime-extensions==0.12.0
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onnxruntime==1.19.2
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peft==0.12.0
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protobuf==5.28.1
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peft==0.13.0
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protobuf==5.28.2
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py-cpuinfo==9.0.0
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scikit-learn==1.5.2
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SentencePiece==0.2.0
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tokenizers==0.19.1
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transformers==4.44.2
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tokenizers==0.20.0
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transformers==4.45.1

‎pytorch/jupyter-requirements.txt

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jupyterlab==4.3.0b1
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jupyterhub==5.1.0
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jupyterlab==4.3.0b2
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jupyterhub==5.2.0
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notebook==7.3.0a1
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jupyter-server-proxy>=4.1.2

‎pytorch/serving/torchserve-requirements.txt

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pynvml>=11.5.0
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pyyaml>=6.0.1
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-f https://download.pytorch.org/whl/torch_stable.html
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torch-model-archiver==0.11.1
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torch-workflow-archiver==0.2.14
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torchserve==0.11.1
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torch-model-archiver==0.12.0
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torch-workflow-archiver==0.2.15
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torchserve==0.12.0
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torchtext==0.18.0+cpu
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torchvision==0.19.0
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-f https://pytorch-extension.intel.com/release-whl/stable/cpu/us/

‎pytorch/serving/torchserve-xpu-requirements.txt

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pynvml>=11.5.0
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pyyaml>=6.0.1
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-f https://download.pytorch.org/whl/torch_stable.html
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torch-model-archiver==0.11.1
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torch-workflow-archiver==0.2.14
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torchserve==0.11.1
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torch-model-archiver==0.12.0
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torch-workflow-archiver==0.2.15
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torchserve==0.12.0

‎pytorch/venv-requirements.txt

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setuptools>=70.0.0
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psutil==6.0.0
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mkl==2024.2.1
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mkl-include==2024.2.1
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mkl==2024.2.2
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mkl-include==2024.2.2
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intel-openmp==2024.2.1

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