From bc0a54f6bddee431074e7db4ae51a376a07cfeb7 Mon Sep 17 00:00:00 2001
From: Jan Stourac <jstourac@redhat.com>
Date: Sat, 15 Jun 2024 19:24:32 +0200
Subject: [PATCH 01/11] [GHA] fix the regexp used for the latest image tag
 selection

In case that there is an image tag subpart of another tag, there could
be wrong tag chosen and as a result wrong SHA used for the manifest
update. E.g. these two:

* "rstudio-c9s-python-3.9-2024a-20240315-02193dd",
* "cuda-rstudio-c9s-python-3.9-2024a-20240315-02193dd",

Example of wrong update #541 (3df148cad4c4a1be151857cc9e232cc1a3f40ddc).

Together with this, I also updated the quay security analysis script
where is the exact same issue.
---
 .github/workflows/notebooks-digest-updater-upstream.yaml | 4 ++--
 .github/workflows/runtimes-digest-updater-upstream.yaml  | 2 +-
 ci/security-scan/quay_security_analysis.py               | 4 ++--
 3 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/.github/workflows/notebooks-digest-updater-upstream.yaml b/.github/workflows/notebooks-digest-updater-upstream.yaml
index 9198282b8..74c95ecfd 100644
--- a/.github/workflows/notebooks-digest-updater-upstream.yaml
+++ b/.github/workflows/notebooks-digest-updater-upstream.yaml
@@ -84,7 +84,7 @@ jobs:
                 img=$(cat manifests/base/params.env | grep -E "${image}=" | cut -d '=' -f2)
                 registry=$(echo $img | cut -d '@' -f1)
                 src_tag=$(skopeo inspect docker://$img | jq '.Env[] | select(startswith("OPENSHIFT_BUILD_NAME=")) | split("=")[1]' | tr -d '"' | sed 's/-amd64$//')
-                regex="$src_tag-${{ env.RELEASE_VERSION_N}}-\d+-${{ steps.hash-n.outputs.HASH_N }}"
+                regex="^$src_tag-${{ env.RELEASE_VERSION_N}}-\d+-${{ steps.hash-n.outputs.HASH_N }}\$"
                 latest_tag=$(skopeo inspect docker://$img | jq -r --arg regex "$regex" '.RepoTags | map(select(. | test($regex))) | .[0]')
                 digest=$(skopeo inspect docker://$registry:$latest_tag | jq .Digest | tr -d '"')
                 output=$registry@$digest
@@ -164,7 +164,7 @@ jobs:
                 img=$(cat manifests/base/params.env | grep -E "${image}=" | cut -d '=' -f2)
                 registry=$(echo $img | cut -d '@' -f1)
                 src_tag=$(skopeo inspect docker://$img | jq '.Env[] | select(startswith("OPENSHIFT_BUILD_NAME=")) | split("=")[1]' | tr -d '"' | sed 's/-amd64$//')
-                regex="$src_tag-${{ env.RELEASE_VERSION_N_1}}-\d+-${{ steps.hash-n-1.outputs.HASH_N_1 }}"
+                regex="^$src_tag-${{ env.RELEASE_VERSION_N_1}}-\d+-${{ steps.hash-n-1.outputs.HASH_N_1 }}\$"
                 latest_tag=$(skopeo inspect docker://$img | jq -r --arg regex "$regex" '.RepoTags | map(select(. | test($regex))) | .[0]')
                 digest=$(skopeo inspect docker://$registry:$latest_tag | jq .Digest | tr -d '"')
                 output=$registry@$digest
diff --git a/.github/workflows/runtimes-digest-updater-upstream.yaml b/.github/workflows/runtimes-digest-updater-upstream.yaml
index 859362213..4d9ce0298 100644
--- a/.github/workflows/runtimes-digest-updater-upstream.yaml
+++ b/.github/workflows/runtimes-digest-updater-upstream.yaml
@@ -92,7 +92,7 @@ jobs:
                   name="minimal-$name"
               fi
               registry=$(echo $img | cut -d '@' -f1)
-              regex="runtime-$name-$py_version-${{ env.RELEASE_VERSION_N}}-\d+-${{ steps.hash-n.outputs.HASH_N }}"
+              regex="^runtime-$name-$py_version-${{ env.RELEASE_VERSION_N}}-\d+-${{ steps.hash-n.outputs.HASH_N }}\$"
               echo "CHECKING: "  $regex
               latest_tag=$(skopeo inspect docker://$img | jq -r --arg regex "$regex" '.RepoTags | map(select(. | test($regex))) | .[0]')
               digest=$(skopeo inspect docker://$registry:$latest_tag | jq .Digest | tr -d '"')
diff --git a/ci/security-scan/quay_security_analysis.py b/ci/security-scan/quay_security_analysis.py
index 584a43f63..469c6eaea 100644
--- a/ci/security-scan/quay_security_analysis.py
+++ b/ci/security-scan/quay_security_analysis.py
@@ -81,9 +81,9 @@ def process_image(image, commit_id_path, RELEASE_VERSION_N, HASH_N):
     regex = ""
 
     if RELEASE_VERSION_N == "":
-        regex = f"{src_tag}-(\\d+-)?{HASH_N}"
+        regex = f"^{src_tag}-(\\d+-)?{HASH_N}$"
     else:
-        regex = f"{src_tag}-{RELEASE_VERSION_N}-\\d+-{HASH_N}"
+        regex = f"^{src_tag}-{RELEASE_VERSION_N}-\\d+-{HASH_N}$"
 
     latest_tag_cmd = f'skopeo inspect docker://{img} | jq -r --arg regex "{regex}" \'.RepoTags | map(select(. | test($regex))) | .[0]\''
     latest_tag = subprocess.check_output(latest_tag_cmd, shell=True, text=True).strip()

From e7db0aad8f84003a00792ce831d223b810aedb24 Mon Sep 17 00:00:00 2001
From: Jan Stourac <jstourac@redhat.com>
Date: Sat, 15 Jun 2024 20:56:06 +0200
Subject: [PATCH 02/11] [GHA] fix the missing habana image update record for
 the digest updater

Example of the wrong update is #565, where it had to be updated
manually, see the be022e2096e7213d69e43bb3f7caec2c4245cf1d.
---
 .../notebooks-digest-updater-upstream.yaml    | 64 +++++--------------
 1 file changed, 16 insertions(+), 48 deletions(-)

diff --git a/.github/workflows/notebooks-digest-updater-upstream.yaml b/.github/workflows/notebooks-digest-updater-upstream.yaml
index 74c95ecfd..4c21ada67 100644
--- a/.github/workflows/notebooks-digest-updater-upstream.yaml
+++ b/.github/workflows/notebooks-digest-updater-upstream.yaml
@@ -68,19 +68,10 @@ jobs:
       - name: Update the param.env file
         run: |
               echo Latest commit is: ${{ steps.hash-n.outputs.HASH_N }} on ${{ env.RELEASE_VERSION_N}}
-              IMAGES=("odh-minimal-notebook-image-n"
-               "odh-minimal-gpu-notebook-image-n"
-               "odh-pytorch-gpu-notebook-image-n"
-               "odh-generic-data-science-notebook-image-n"
-               "odh-tensorflow-gpu-notebook-image-n"
-               "odh-trustyai-notebook-image-n"
-               "odh-codeserver-notebook-image-n"
-               "odh-rstudio-notebook-image-n"
-               "odh-rstudio-gpu-notebook-image-n")
-
-              for ((i=0;i<${#IMAGES[@]};++i)); do
-                image=${IMAGES[$i]}
-                echo "CHECKING: " $image
+              IMAGES=$(cat manifests/base/params.env | grep "\-n=" | cut -d "=" -f 1)
+
+              for image in ${IMAGES}; do
+                echo "CHECKING: '${image}'"
                 img=$(cat manifests/base/params.env | grep -E "${image}=" | cut -d '=' -f2)
                 registry=$(echo $img | cut -d '@' -f1)
                 src_tag=$(skopeo inspect docker://$img | jq '.Env[] | select(startswith("OPENSHIFT_BUILD_NAME=")) | split("=")[1]' | tr -d '"' | sed 's/-amd64$//')
@@ -100,17 +91,10 @@ jobs:
       - name: Update the commit.env file
         run: |
             echo Latest commit is: ${{ steps.hash-n.outputs.HASH_N }} on ${{ env.RELEASE_VERSION_N}}
-            COMMIT=("odh-minimal-notebook-image-commit-n"
-             "odh-minimal-gpu-notebook-image-commit-n"
-             "odh-pytorch-gpu-notebook-image-commit-n"
-             "odh-generic-data-science-notebook-image-commit-n"
-             "odh-tensorflow-gpu-notebook-image-commit-n"
-             "odh-trustyai-notebook-image-commit-n"
-             "odh-codeserver-notebook-image-commit-n"
-             "odh-rstudio-notebook-image-commit-n"
-             "odh-rstudio-gpu-notebook-image-commit-n")
-
-            for val in "${COMMIT[@]}"; do
+            # Get the complete list of images N-1-version to update
+            COMMIT=$(cat manifests/base/commit.env | grep "\-n=" | cut -d "=" -f 1)
+
+            for val in ${COMMIT}; do
               echo $val
               sed -i "s|${val}=.*|${val}=${{ steps.hash-n.outputs.HASH_N }}|" manifests/base/commit.env
             done
@@ -148,19 +132,10 @@ jobs:
       - name: Update the param.env file
         run: |
               echo Latest commit is: ${{ steps.hash-n-1.outputs.HASH_N_1 }} on ${{ env.RELEASE_VERSION_N_1}}
-              IMAGES=("odh-minimal-notebook-image-n-1"
-               "odh-minimal-gpu-notebook-image-n-1"
-               "odh-pytorch-gpu-notebook-image-n-1"
-               "odh-generic-data-science-notebook-image-n-1"
-               "odh-tensorflow-gpu-notebook-image-n-1"
-               "odh-trustyai-notebook-image-n-1"
-               "odh-codeserver-notebook-image-n-1"
-               "odh-rstudio-notebook-image-n-1"
-               "odh-rstudio-gpu-notebook-image-n-1")
-
-              for ((i=0;i<${#IMAGES[@]};++i)); do
-                image=${IMAGES[$i]}
-                echo "CHECKING: " $image
+              IMAGES=$(cat manifests/base/params.env | grep "\-n-1=" | cut -d "=" -f 1)
+
+              for image in ${IMAGES}; do
+                echo "CHECKING: '${image}'"
                 img=$(cat manifests/base/params.env | grep -E "${image}=" | cut -d '=' -f2)
                 registry=$(echo $img | cut -d '@' -f1)
                 src_tag=$(skopeo inspect docker://$img | jq '.Env[] | select(startswith("OPENSHIFT_BUILD_NAME=")) | split("=")[1]' | tr -d '"' | sed 's/-amd64$//')
@@ -179,17 +154,10 @@ jobs:
       - name: Update the commit.env file
         run: |
               echo Latest commit is: ${{ steps.hash-n-1.outputs.HASH_N_1 }} on ${{ env.RELEASE_VERSION_N_1}}
-              COMMIT=("odh-minimal-notebook-image-commit-n-1"
-               "odh-minimal-gpu-notebook-image-commit-n-1"
-               "odh-pytorch-gpu-notebook-image-commit-n-1"
-               "odh-generic-data-science-notebook-image-commit-n-1"
-               "odh-tensorflow-gpu-notebook-image-commit-n-1"
-               "odh-trustyai-notebook-image-commit-n-1"
-               "odh-codeserver-notebook-image-commit-n-1"
-               "odh-rstudio-notebook-image-commit-n-1"
-               "odh-rstudio-gpu-notebook-image-commit-n-1")
-
-              for val in "${COMMIT[@]}"; do
+              # Get the complete list of images N-1-version to update
+              COMMIT=$(cat manifests/base/commit.env | grep "\-n-1=" | cut -d "=" -f 1)
+
+              for val in ${COMMIT}; do
                 echo $val
                 sed -i "s|${val}=.*|${val}=${{ steps.hash-n-1.outputs.HASH_N_1 }}|" manifests/base/commit.env
               done

From 0c6aecc820f5323a3b39243464beb9c06fd151a5 Mon Sep 17 00:00:00 2001
From: Jan Stourac <jstourac@redhat.com>
Date: Wed, 19 Jun 2024 17:30:45 +0200
Subject: [PATCH 03/11] [GHA] Minor refactoring

* Get rid of shell check warnings
* Make the code faster by caching skopeo output
* Make skopeo to retry if it fails (3 times retry)
---
 .../notebooks-digest-updater-upstream.yaml    | 113 ++++++++++++------
 1 file changed, 77 insertions(+), 36 deletions(-)

diff --git a/.github/workflows/notebooks-digest-updater-upstream.yaml b/.github/workflows/notebooks-digest-updater-upstream.yaml
index 4c21ada67..6bab89d3a 100644
--- a/.github/workflows/notebooks-digest-updater-upstream.yaml
+++ b/.github/workflows/notebooks-digest-updater-upstream.yaml
@@ -67,41 +67,61 @@ jobs:
 
       - name: Update the param.env file
         run: |
-              echo Latest commit is: ${{ steps.hash-n.outputs.HASH_N }} on ${{ env.RELEASE_VERSION_N}}
-              IMAGES=$(cat manifests/base/params.env | grep "\-n=" | cut -d "=" -f 1)
+              PARAMS_ENV_PATH="manifests/base/params.env"
+
+              echo Latest commit is: ${{ steps.hash-n.outputs.HASH_N }} on ${{ env.RELEASE_VERSION_N }}
+
+              # Get the complete list of images N-version to update
+              IMAGES=$(cat "${PARAMS_ENV_PATH}" | grep "\-n=" | cut -d "=" -f 1)
 
               for image in ${IMAGES}; do
                 echo "CHECKING: '${image}'"
-                img=$(cat manifests/base/params.env | grep -E "${image}=" | cut -d '=' -f2)
-                registry=$(echo $img | cut -d '@' -f1)
-                src_tag=$(skopeo inspect docker://$img | jq '.Env[] | select(startswith("OPENSHIFT_BUILD_NAME=")) | split("=")[1]' | tr -d '"' | sed 's/-amd64$//')
+                img=$(grep -E "${image}=" "${PARAMS_ENV_PATH}" | cut -d '=' -f2)
+                registry=$(echo "${img}" | cut -d '@' -f1)
+
+                skopeo_metadata=$(skopeo inspect --retry-times 3 "docker://${img}")
+
+                src_tag=$(echo "${skopeo_metadata}" | jq '.Env[] | select(startswith("OPENSHIFT_BUILD_NAME=")) | split("=")[1]' | tr -d '"' | sed 's/-amd64$//')
                 regex="^$src_tag-${{ env.RELEASE_VERSION_N}}-\d+-${{ steps.hash-n.outputs.HASH_N }}\$"
-                latest_tag=$(skopeo inspect docker://$img | jq -r --arg regex "$regex" '.RepoTags | map(select(. | test($regex))) | .[0]')
-                digest=$(skopeo inspect docker://$registry:$latest_tag | jq .Digest | tr -d '"')
-                output=$registry@$digest
-                echo "NEW:" $output
-                sed -i "s|${image}=.*|${image}=$output|" manifests/base/params.env
+                latest_tag=$(echo "${skopeo_metadata}" | jq -r --arg regex "$regex" '.RepoTags | map(select(. | test($regex))) | .[0]')
+                # use `--no-tags` for skopeo once available in newer version
+                digest=$(skopeo inspect --retry-times 3 "docker://${registry}:${latest_tag}" | jq .Digest | tr -d '"')
+                output="${registry}@${digest}"
+                echo "NEW: ${output}"
+                sed -i "s|${image}=.*|${image}=${output}|" "${PARAMS_ENV_PATH}"
               done
+
               if [[ $(git status --porcelain | wc -l) -gt 0 ]]; then
-                git fetch origin  ${{ env.DIGEST_UPDATER_BRANCH }} && git pull origin  ${{ env.DIGEST_UPDATER_BRANCH }} && git add manifests/base/params.env && git commit -m "Update images for release N via ${{ env.DIGEST_UPDATER_BRANCH }} GitHub action" && git push origin  ${{ env.DIGEST_UPDATER_BRANCH }}
+                git fetch origin  ${{ env.DIGEST_UPDATER_BRANCH }} && \
+                  git pull origin  ${{ env.DIGEST_UPDATER_BRANCH }} && \
+                  git add "${PARAMS_ENV_PATH}" && \
+                  git commit -m "Update images for release N via ${{ env.DIGEST_UPDATER_BRANCH }} GitHub action" && \
+                  git push origin  ${{ env.DIGEST_UPDATER_BRANCH }}
               else
-                echo "There were no changes detected in the images for the ${{ env.RELEASE_VERSION_N}}"
+                echo "There were no changes detected in the images for the ${{ env.RELEASE_VERSION_N }}"
               fi
 
       - name: Update the commit.env file
         run: |
-            echo Latest commit is: ${{ steps.hash-n.outputs.HASH_N }} on ${{ env.RELEASE_VERSION_N}}
+            COMMIT_ENV_PATH="manifests/base/commit.env"
+
+            echo Latest commit is: ${{ steps.hash-n.outputs.HASH_N }} on ${{ env.RELEASE_VERSION_N }}
             # Get the complete list of images N-1-version to update
-            COMMIT=$(cat manifests/base/commit.env | grep "\-n=" | cut -d "=" -f 1)
+            COMMIT=$(grep "\-n=" "${COMMIT_ENV_PATH}" | cut -d "=" -f 1)
 
             for val in ${COMMIT}; do
-              echo $val
-              sed -i "s|${val}=.*|${val}=${{ steps.hash-n.outputs.HASH_N }}|" manifests/base/commit.env
+              echo "${val}"
+              sed -i "s|${val}=.*|${val}=${{ steps.hash-n.outputs.HASH_N }}|" "${COMMIT_ENV_PATH}"
             done
+
             if [[ $(git status --porcelain | wc -l) -gt 0 ]]; then
-              git fetch origin  ${{ env.DIGEST_UPDATER_BRANCH }} && git pull origin  ${{ env.DIGEST_UPDATER_BRANCH }} && git add manifests/base/commit.env && git commit -m "Update image commits for release N via ${{ env.DIGEST_UPDATER_BRANCH }} GitHub action" && git push origin  ${{ env.DIGEST_UPDATER_BRANCH }}
+              git fetch origin ${{ env.DIGEST_UPDATER_BRANCH }} && \
+                git pull origin ${{ env.DIGEST_UPDATER_BRANCH }} && \
+                git add "${COMMIT_ENV_PATH}" && \
+                git commit -m "Update image commits for release N via ${{ env.DIGEST_UPDATER_BRANCH }} GitHub action" && \
+                git push origin ${{ env.DIGEST_UPDATER_BRANCH }}
             else
-              echo "There were no changes detected in the images for the ${{ env.RELEASE_VERSION_N}}"
+              echo "There were no changes detected in the images for the ${{ env.RELEASE_VERSION_N }}"
             fi
 
   update-n-1-version:
@@ -131,40 +151,61 @@ jobs:
 
       - name: Update the param.env file
         run: |
-              echo Latest commit is: ${{ steps.hash-n-1.outputs.HASH_N_1 }} on ${{ env.RELEASE_VERSION_N_1}}
-              IMAGES=$(cat manifests/base/params.env | grep "\-n-1=" | cut -d "=" -f 1)
+              PARAMS_ENV_PATH="manifests/base/params.env"
+
+              echo Latest commit is: ${{ steps.hash-n-1.outputs.HASH_N_1 }} on ${{ env.RELEASE_VERSION_N_1 }}
+
+              # Get the complete list of images N-1-version to update
+              IMAGES=$(cat "${PARAMS_ENV_PATH}" | grep "\-n-1=" | cut -d "=" -f 1)
 
               for image in ${IMAGES}; do
                 echo "CHECKING: '${image}'"
-                img=$(cat manifests/base/params.env | grep -E "${image}=" | cut -d '=' -f2)
-                registry=$(echo $img | cut -d '@' -f1)
-                src_tag=$(skopeo inspect docker://$img | jq '.Env[] | select(startswith("OPENSHIFT_BUILD_NAME=")) | split("=")[1]' | tr -d '"' | sed 's/-amd64$//')
+                img=$(grep -E "${image}=" "${PARAMS_ENV_PATH}" | cut -d '=' -f2)
+                registry=$(echo "${img}" | cut -d '@' -f1)
+
+                skopeo_metadata=$(skopeo inspect --retry-times 3 "docker://${img}")
+
+                src_tag=$(echo "${skopeo_metadata}" | jq '.Env[] | select(startswith("OPENSHIFT_BUILD_NAME=")) | split("=")[1]' | tr -d '"' | sed 's/-amd64$//')
                 regex="^$src_tag-${{ env.RELEASE_VERSION_N_1}}-\d+-${{ steps.hash-n-1.outputs.HASH_N_1 }}\$"
-                latest_tag=$(skopeo inspect docker://$img | jq -r --arg regex "$regex" '.RepoTags | map(select(. | test($regex))) | .[0]')
-                digest=$(skopeo inspect docker://$registry:$latest_tag | jq .Digest | tr -d '"')
-                output=$registry@$digest
-                echo "NEW:" $output
-                sed -i "s|${image}=.*|${image}=$output|" manifests/base/params.env
+                latest_tag=$(echo "${skopeo_metadata}" | jq -r --arg regex "$regex" '.RepoTags | map(select(. | test($regex))) | .[0]')
+                # use `--no-tags` for skopeo once available in newer version
+                digest=$(skopeo inspect --retry-times 3 "docker://${registry}:${latest_tag}" | jq .Digest | tr -d '"')
+                output="${registry}@${digest}"
+                echo "NEW: ${output}"
+                sed -i "s|${image}=.*|${image}=${output}|" "${PARAMS_ENV_PATH}"
               done
+
               if [[ $(git status --porcelain | wc -l) -gt 0 ]]; then
-                git fetch origin  ${{ env.DIGEST_UPDATER_BRANCH }} && git pull origin  ${{ env.DIGEST_UPDATER_BRANCH }} && git add manifests/base/params.env && git commit -m "Update images for release N-1 via ${{ env.DIGEST_UPDATER_BRANCH }} GitHub action" && git push origin  ${{ env.DIGEST_UPDATER_BRANCH }}
+                git fetch origin  ${{ env.DIGEST_UPDATER_BRANCH }} && \
+                  git pull origin  ${{ env.DIGEST_UPDATER_BRANCH }} && \
+                  git add "${PARAMS_ENV_PATH}" && \
+                  git commit -m "Update images for release N-1 via ${{ env.DIGEST_UPDATER_BRANCH }} GitHub action" && \
+                  git push origin  ${{ env.DIGEST_UPDATER_BRANCH }}
               else
-                  echo "There were no changes detected in the images for the ${{ env.RELEASE_VERSION_N_1}}"
+                  echo "There were no changes detected in the images for the ${{ env.RELEASE_VERSION_N_1 }}"
               fi
+
       - name: Update the commit.env file
         run: |
-              echo Latest commit is: ${{ steps.hash-n-1.outputs.HASH_N_1 }} on ${{ env.RELEASE_VERSION_N_1}}
+              COMMIT_ENV_PATH="manifests/base/commit.env"
+
+              echo Latest commit is: ${{ steps.hash-n-1.outputs.HASH_N_1 }} on ${{ env.RELEASE_VERSION_N_1 }}
               # Get the complete list of images N-1-version to update
-              COMMIT=$(cat manifests/base/commit.env | grep "\-n-1=" | cut -d "=" -f 1)
+              COMMIT=$(grep "\-n-1=" "${COMMIT_ENV_PATH}" | cut -d "=" -f 1)
 
               for val in ${COMMIT}; do
-                echo $val
-                sed -i "s|${val}=.*|${val}=${{ steps.hash-n-1.outputs.HASH_N_1 }}|" manifests/base/commit.env
+                echo "${val}"
+                sed -i "s|${val}=.*|${val}=${{ steps.hash-n-1.outputs.HASH_N_1 }}|" "${COMMIT_ENV_PATH}"
               done
+
               if [[ $(git status --porcelain | wc -l) -gt 0 ]]; then
-                git fetch origin  ${{ env.DIGEST_UPDATER_BRANCH }} && git pull origin  ${{ env.DIGEST_UPDATER_BRANCH }} && git add manifests/base/commit.env && git commit -m "Update image commits for release N via ${{ env.DIGEST_UPDATER_BRANCH }} GitHub action" && git push origin  ${{ env.DIGEST_UPDATER_BRANCH }}
+                git fetch origin  ${{ env.DIGEST_UPDATER_BRANCH }} && \
+                  git pull origin  ${{ env.DIGEST_UPDATER_BRANCH }} && \
+                  git add "${COMMIT_ENV_PATH}" && \
+                  git commit -m "Update image commits for release N via ${{ env.DIGEST_UPDATER_BRANCH }} GitHub action" && \
+                  git push origin  ${{ env.DIGEST_UPDATER_BRANCH }}
               else
-                echo "There were no changes detected in the images for the ${{ env.RELEASE_VERSION_N}}"
+                echo "There were no changes detected in the images for the ${{ env.RELEASE_VERSION_N }}"
               fi
 
   open-pull-request:

From 401eba8ca251393625a70e1f8e0650d067888771 Mon Sep 17 00:00:00 2001
From: GitHub Actions <github-actions[bot]@users.noreply.github.com>
Date: Fri, 21 Jun 2024 18:18:07 +0000
Subject: [PATCH 04/11] Update file via  digest-updater-9617991236 GitHub
 action

---
 .../runtime-images/datascience-ubi8-py38.json                   | 2 +-
 .../anaconda-python-3.8/runtime-images/pytorch-ubi8-py38.json   | 2 +-
 .../runtime-images/tensorflow-ubi8-py38.json                    | 2 +-
 .../anaconda-python-3.8/runtime-images/ubi8-py38.json           | 2 +-
 .../ubi8-python-3.8/runtime-images/datascience-ubi8-py38.json   | 2 +-
 .../ubi8-python-3.8/runtime-images/pytorch-ubi8-py38.json       | 2 +-
 .../ubi8-python-3.8/runtime-images/tensorflow-ubi8-py38.json    | 2 +-
 .../datascience/ubi8-python-3.8/runtime-images/ubi8-py38.json   | 2 +-
 .../ubi9-python-3.9/runtime-images/datascience-ubi9-py39.json   | 2 +-
 .../ubi9-python-3.9/runtime-images/pytorch-ubi9-py39.json       | 2 +-
 .../ubi9-python-3.9/runtime-images/tensorflow-ubi9-py39.json    | 2 +-
 .../datascience/ubi9-python-3.9/runtime-images/ubi9-py39.json   | 2 +-
 12 files changed, 12 insertions(+), 12 deletions(-)

diff --git a/jupyter/datascience/anaconda-python-3.8/runtime-images/datascience-ubi8-py38.json b/jupyter/datascience/anaconda-python-3.8/runtime-images/datascience-ubi8-py38.json
index 794909cbf..c6778b6ff 100644
--- a/jupyter/datascience/anaconda-python-3.8/runtime-images/datascience-ubi8-py38.json
+++ b/jupyter/datascience/anaconda-python-3.8/runtime-images/datascience-ubi8-py38.json
@@ -5,7 +5,7 @@
       "datascience"
     ],
     "display_name": "Datascience with Python 3.8 (UBI8)",
-    "image_name": "quay.io/opendatahub/workbench-images@sha256:0802f204d2d82ccaa99ac92221d17d7edae71dc607ca2d7e76e3d14ae3ed88ad",
+    "image_name": "quay.io/opendatahub/workbench-images@sha256:acc9b8fed84c9778b177581455c0a5d228d1438daa629e1a476cef4440f2a91a",
     "pull_policy": "IfNotPresent"
   },
   "schema_name": "runtime-image"
diff --git a/jupyter/datascience/anaconda-python-3.8/runtime-images/pytorch-ubi8-py38.json b/jupyter/datascience/anaconda-python-3.8/runtime-images/pytorch-ubi8-py38.json
index 8c519cd10..cac6534be 100644
--- a/jupyter/datascience/anaconda-python-3.8/runtime-images/pytorch-ubi8-py38.json
+++ b/jupyter/datascience/anaconda-python-3.8/runtime-images/pytorch-ubi8-py38.json
@@ -5,7 +5,7 @@
       "pytorch"
     ],
     "display_name": "Pytorch with CUDA and Python 3.8 (UBI8)",
-    "image_name": "quay.io/opendatahub/workbench-images@sha256:d4976a7ed2a8776f6dc2e9d63a1190c93a945556bcd85e44822dffc9355a31c6",
+    "image_name": "quay.io/opendatahub/workbench-images@sha256:a46edb1ded8d6270dbff55d3cbb824ebebbe05a095cf1d37e7972c87a4dbcd4f",
     "pull_policy": "IfNotPresent"
   },
   "schema_name": "runtime-image"
diff --git a/jupyter/datascience/anaconda-python-3.8/runtime-images/tensorflow-ubi8-py38.json b/jupyter/datascience/anaconda-python-3.8/runtime-images/tensorflow-ubi8-py38.json
index 3cb88a923..bf3d5be54 100644
--- a/jupyter/datascience/anaconda-python-3.8/runtime-images/tensorflow-ubi8-py38.json
+++ b/jupyter/datascience/anaconda-python-3.8/runtime-images/tensorflow-ubi8-py38.json
@@ -5,7 +5,7 @@
       "tensorflow"
     ],
     "display_name": "TensorFlow with CUDA and Python 3.8 (UBI8)",
-    "image_name": "quay.io/opendatahub/workbench-images@sha256:b6ce0d2a6c258febaff22e8ffb003b56d7169b670c87b112b56dbabd4df29780",
+    "image_name": "quay.io/opendatahub/workbench-images@sha256:0958fffbadb5d413dd01f2f0f13bdb2b4e7f2f2c10de2d87c5449db21fdc520b",
     "pull_policy": "IfNotPresent"
   },
   "schema_name": "runtime-image"
diff --git a/jupyter/datascience/anaconda-python-3.8/runtime-images/ubi8-py38.json b/jupyter/datascience/anaconda-python-3.8/runtime-images/ubi8-py38.json
index 8d28053f7..93214b0ed 100644
--- a/jupyter/datascience/anaconda-python-3.8/runtime-images/ubi8-py38.json
+++ b/jupyter/datascience/anaconda-python-3.8/runtime-images/ubi8-py38.json
@@ -5,7 +5,7 @@
       "minimal"
     ],
     "display_name": "Python 3.8 (UBI8)",
-    "image_name": "quay.io/opendatahub/workbench-images@sha256:a8a718bb11eacedbec197a7e70dcf19ab1b75d63c43d98a3e1226326440cd4bf",
+    "image_name": "quay.io/opendatahub/workbench-images@sha256:98a035d355d67120fc913cf753866d7bad2227af21ccc3894148b4b679d40c3d",
     "pull_policy": "IfNotPresent"
   },
   "schema_name": "runtime-image"
diff --git a/jupyter/datascience/ubi8-python-3.8/runtime-images/datascience-ubi8-py38.json b/jupyter/datascience/ubi8-python-3.8/runtime-images/datascience-ubi8-py38.json
index 794909cbf..c6778b6ff 100644
--- a/jupyter/datascience/ubi8-python-3.8/runtime-images/datascience-ubi8-py38.json
+++ b/jupyter/datascience/ubi8-python-3.8/runtime-images/datascience-ubi8-py38.json
@@ -5,7 +5,7 @@
       "datascience"
     ],
     "display_name": "Datascience with Python 3.8 (UBI8)",
-    "image_name": "quay.io/opendatahub/workbench-images@sha256:0802f204d2d82ccaa99ac92221d17d7edae71dc607ca2d7e76e3d14ae3ed88ad",
+    "image_name": "quay.io/opendatahub/workbench-images@sha256:acc9b8fed84c9778b177581455c0a5d228d1438daa629e1a476cef4440f2a91a",
     "pull_policy": "IfNotPresent"
   },
   "schema_name": "runtime-image"
diff --git a/jupyter/datascience/ubi8-python-3.8/runtime-images/pytorch-ubi8-py38.json b/jupyter/datascience/ubi8-python-3.8/runtime-images/pytorch-ubi8-py38.json
index 8c519cd10..cac6534be 100644
--- a/jupyter/datascience/ubi8-python-3.8/runtime-images/pytorch-ubi8-py38.json
+++ b/jupyter/datascience/ubi8-python-3.8/runtime-images/pytorch-ubi8-py38.json
@@ -5,7 +5,7 @@
       "pytorch"
     ],
     "display_name": "Pytorch with CUDA and Python 3.8 (UBI8)",
-    "image_name": "quay.io/opendatahub/workbench-images@sha256:d4976a7ed2a8776f6dc2e9d63a1190c93a945556bcd85e44822dffc9355a31c6",
+    "image_name": "quay.io/opendatahub/workbench-images@sha256:a46edb1ded8d6270dbff55d3cbb824ebebbe05a095cf1d37e7972c87a4dbcd4f",
     "pull_policy": "IfNotPresent"
   },
   "schema_name": "runtime-image"
diff --git a/jupyter/datascience/ubi8-python-3.8/runtime-images/tensorflow-ubi8-py38.json b/jupyter/datascience/ubi8-python-3.8/runtime-images/tensorflow-ubi8-py38.json
index 3cb88a923..bf3d5be54 100644
--- a/jupyter/datascience/ubi8-python-3.8/runtime-images/tensorflow-ubi8-py38.json
+++ b/jupyter/datascience/ubi8-python-3.8/runtime-images/tensorflow-ubi8-py38.json
@@ -5,7 +5,7 @@
       "tensorflow"
     ],
     "display_name": "TensorFlow with CUDA and Python 3.8 (UBI8)",
-    "image_name": "quay.io/opendatahub/workbench-images@sha256:b6ce0d2a6c258febaff22e8ffb003b56d7169b670c87b112b56dbabd4df29780",
+    "image_name": "quay.io/opendatahub/workbench-images@sha256:0958fffbadb5d413dd01f2f0f13bdb2b4e7f2f2c10de2d87c5449db21fdc520b",
     "pull_policy": "IfNotPresent"
   },
   "schema_name": "runtime-image"
diff --git a/jupyter/datascience/ubi8-python-3.8/runtime-images/ubi8-py38.json b/jupyter/datascience/ubi8-python-3.8/runtime-images/ubi8-py38.json
index 8d28053f7..93214b0ed 100644
--- a/jupyter/datascience/ubi8-python-3.8/runtime-images/ubi8-py38.json
+++ b/jupyter/datascience/ubi8-python-3.8/runtime-images/ubi8-py38.json
@@ -5,7 +5,7 @@
       "minimal"
     ],
     "display_name": "Python 3.8 (UBI8)",
-    "image_name": "quay.io/opendatahub/workbench-images@sha256:a8a718bb11eacedbec197a7e70dcf19ab1b75d63c43d98a3e1226326440cd4bf",
+    "image_name": "quay.io/opendatahub/workbench-images@sha256:98a035d355d67120fc913cf753866d7bad2227af21ccc3894148b4b679d40c3d",
     "pull_policy": "IfNotPresent"
   },
   "schema_name": "runtime-image"
diff --git a/jupyter/datascience/ubi9-python-3.9/runtime-images/datascience-ubi9-py39.json b/jupyter/datascience/ubi9-python-3.9/runtime-images/datascience-ubi9-py39.json
index da1996037..7d7fa1442 100644
--- a/jupyter/datascience/ubi9-python-3.9/runtime-images/datascience-ubi9-py39.json
+++ b/jupyter/datascience/ubi9-python-3.9/runtime-images/datascience-ubi9-py39.json
@@ -5,7 +5,7 @@
       "datascience"
     ],
     "display_name": "Datascience with Python 3.9 (UBI9)",
-    "image_name": "quay.io/opendatahub/workbench-images@sha256:75655d7879ff8c7db8d11751a95594bfb2a8d98655472bc8a53f51af7d5e5a5a",
+    "image_name": "quay.io/opendatahub/workbench-images@sha256:90ef43828264de9dd4247a420033e62b4c0a5b0f43fdc5717eb0faf4d75dc1b9",
     "pull_policy": "IfNotPresent"
   },
   "schema_name": "runtime-image"
diff --git a/jupyter/datascience/ubi9-python-3.9/runtime-images/pytorch-ubi9-py39.json b/jupyter/datascience/ubi9-python-3.9/runtime-images/pytorch-ubi9-py39.json
index 252407291..b1780c900 100644
--- a/jupyter/datascience/ubi9-python-3.9/runtime-images/pytorch-ubi9-py39.json
+++ b/jupyter/datascience/ubi9-python-3.9/runtime-images/pytorch-ubi9-py39.json
@@ -5,7 +5,7 @@
       "pytorch"
     ],
     "display_name": "Pytorch with CUDA and Python 3.9 (UBI9)",
-    "image_name": "quay.io/opendatahub/workbench-images@sha256:3f344ee632aaa69e5bdd90538a878895601e16ce1064669c1b94e2c5215d712c",
+    "image_name": "quay.io/opendatahub/workbench-images@sha256:bafcdaab39ee7bda63781e67ceef355f290249d58f2deaced4e9159ece39e616",
     "pull_policy": "IfNotPresent"
   },
   "schema_name": "runtime-image"
diff --git a/jupyter/datascience/ubi9-python-3.9/runtime-images/tensorflow-ubi9-py39.json b/jupyter/datascience/ubi9-python-3.9/runtime-images/tensorflow-ubi9-py39.json
index 33236c6c2..83c19daab 100644
--- a/jupyter/datascience/ubi9-python-3.9/runtime-images/tensorflow-ubi9-py39.json
+++ b/jupyter/datascience/ubi9-python-3.9/runtime-images/tensorflow-ubi9-py39.json
@@ -5,7 +5,7 @@
       "tensorflow"
     ],
     "display_name": "TensorFlow with CUDA and Python 3.9 (UBI9)",
-    "image_name": "quay.io/opendatahub/workbench-images@sha256:05db31d04010dbbc8ba64d269e5a89d783d1b319fc63cebd7c9dc0b9fca30785",
+    "image_name": "quay.io/opendatahub/workbench-images@sha256:367f3b3e3186d9bb21af68cfcc1c574e60979ac5a8a15105e2cb4ea509346c3b",
     "pull_policy": "IfNotPresent"
   },
   "schema_name": "runtime-image"
diff --git a/jupyter/datascience/ubi9-python-3.9/runtime-images/ubi9-py39.json b/jupyter/datascience/ubi9-python-3.9/runtime-images/ubi9-py39.json
index e87fbc49a..63b26aee9 100644
--- a/jupyter/datascience/ubi9-python-3.9/runtime-images/ubi9-py39.json
+++ b/jupyter/datascience/ubi9-python-3.9/runtime-images/ubi9-py39.json
@@ -5,7 +5,7 @@
       "minimal"
     ],
     "display_name": "Python 3.9 (UBI9)",
-    "image_name": "quay.io/opendatahub/workbench-images@sha256:30c853028a36c52116cdbf35f207103a45bf10667259839f8ed138d7e7692aba",
+    "image_name": "quay.io/opendatahub/workbench-images@sha256:1d72f9e192f247c22c2b6759df47005511496eb84077f1429625cb8d07ba037a",
     "pull_policy": "IfNotPresent"
   },
   "schema_name": "runtime-image"

From f9970f5892f5cc3bc653956729ad348db894a2f5 Mon Sep 17 00:00:00 2001
From: "github-actions[bot]"
 <41898282+github-actions[bot]@users.noreply.github.com>
Date: Fri, 21 Jun 2024 17:07:25 -0400
Subject: [PATCH 05/11] [Digest Updater Action] Update Notebook Images (#586)

* Update images for release N via digest-updater-9619315370 GitHub action

* Update image commits for release N via digest-updater-9619315370 GitHub action

* Update images for release N-1 via digest-updater-9619315370 GitHub action

* Update image commits for release N via digest-updater-9619315370 GitHub action

---------

Co-authored-by: GitHub Actions <github-actions[bot]@users.noreply.github.com>
---
 manifests/base/commit.env | 34 +++++++++++++++++-----------------
 manifests/base/params.env | 34 +++++++++++++++++-----------------
 2 files changed, 34 insertions(+), 34 deletions(-)

diff --git a/manifests/base/commit.env b/manifests/base/commit.env
index dd21d8884..37aeafba1 100644
--- a/manifests/base/commit.env
+++ b/manifests/base/commit.env
@@ -1,20 +1,20 @@
-odh-minimal-notebook-image-commit-n=d9ffb60
-odh-minimal-notebook-image-commit-n-1=ab8782a
+odh-minimal-notebook-image-commit-n=af2a765
+odh-minimal-notebook-image-commit-n-1=9fe149c
 odh-minimal-gpu-notebook-image-commit-n=d9ffb60
-odh-minimal-gpu-notebook-image-commit-n-1=ab8782a
-odh-pytorch-gpu-notebook-image-commit-n=d9ffb60
-odh-pytorch-gpu-notebook-image-commit-n-1=ab8782a
-odh-generic-data-science-notebook-image-commit-n=d9ffb60
-odh-generic-data-science-notebook-image-commit-n-1=ab8782a
-odh-tensorflow-gpu-notebook-image-commit-n=d9ffb60
-odh-tensorflow-gpu-notebook-image-commit-n-1=ab8782a
-odh-trustyai-notebook-image-commit-n=d9ffb60
-odh-trustyai-notebook-image-commit-n-1=ab8782a
+odh-minimal-gpu-notebook-image-commit-n-1=9fe149c
+odh-pytorch-gpu-notebook-image-commit-n=af2a765
+odh-pytorch-gpu-notebook-image-commit-n-1=9fe149c
+odh-generic-data-science-notebook-image-commit-n=af2a765
+odh-generic-data-science-notebook-image-commit-n-1=9fe149c
+odh-tensorflow-gpu-notebook-image-commit-n=af2a765
+odh-tensorflow-gpu-notebook-image-commit-n-1=9fe149c
+odh-trustyai-notebook-image-commit-n=af2a765
+odh-trustyai-notebook-image-commit-n-1=9fe149c
 odh-habana-notebook-image-commit-n=d9ffb60
 odh-habana-notebook-image-commit-n-1=6a6f888
-odh-codeserver-notebook-image-commit-n=d9ffb60
-odh-codeserver-notebook-image-commit-n-1=6a6f888
-odh-rstudio-notebook-image-commit-n=d9ffb60
-odh-rstudio-notebook-image-commit-n-1=6a6f888
-odh-rstudio-gpu-notebook-image-commit-n=d9ffb60
-odh-rstudio-gpu-notebook-image-commit-n-1=6a6f888
+odh-codeserver-notebook-image-commit-n=af2a765
+odh-codeserver-notebook-image-commit-n-1=9fe149c
+odh-rstudio-notebook-image-commit-n=af2a765
+odh-rstudio-notebook-image-commit-n-1=9fe149c
+odh-rstudio-gpu-notebook-image-commit-n=af2a765
+odh-rstudio-gpu-notebook-image-commit-n-1=9fe149c
diff --git a/manifests/base/params.env b/manifests/base/params.env
index 1040bc66a..92b57d01f 100644
--- a/manifests/base/params.env
+++ b/manifests/base/params.env
@@ -1,20 +1,20 @@
-odh-minimal-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:1b51fe447c65368f4be894cf18fb6fe0e378c3a642fcdf0f073fca3fee6c4847
-odh-minimal-notebook-image-n-1=quay.io/opendatahub/workbench-images@sha256:ebdef48513c0a23a1e7c65e0b6df0bb4123784b568b79860f667232aa69ac09e
+odh-minimal-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:1d21774969df3a777a9ea9609c525544a863935194243e51e3d0db5e7723f323
+odh-minimal-notebook-image-n-1=quay.io/opendatahub/workbench-images@sha256:e56a6251dc5cb7249e7d652368b14e2c77a7dcc8877d21c04ad4f30d15e4b575
 odh-minimal-gpu-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:531eeebf6893b6d1d84fe0a06544a1addd583c01d0daed9e8d255489106c6576
-odh-minimal-gpu-notebook-image-n-1=quay.io/opendatahub/workbench-images@sha256:dda1a6328d8c35cb745f88082adda017d5023d68822756fbd4887c77c06c3eaa
-odh-pytorch-gpu-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:ae26000c46392f14a1f5cf2ff86b0ffaa70fe3109d9fbdcb4d9e49c1c0ae3266
-odh-pytorch-gpu-notebook-image-n-1=quay.io/opendatahub/workbench-images@sha256:bbe3702fb4dd3437ebc05ed295ef6c6d5738f6a1111eccb3464e3880a1287b81
-odh-generic-data-science-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:adb51c78f004a6413eb005c64c189de5e85f26d3971e42e5ab788aeb02a40503
-odh-generic-data-science-notebook-image-n-1=quay.io/opendatahub/workbench-images@sha256:7161c3bee001b6845f1e03c221857035ce62fa53f6e058f349810c6d8e8dcdc4
-odh-tensorflow-gpu-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:07adee031bb517b9c8f4177b31d9764d970694c0c26d53bdd3f519e634afc887
-odh-tensorflow-gpu-notebook-image-n-1=quay.io/opendatahub/workbench-images@sha256:22f7fe42ef14cbdffc50af553d16f2429fd5613922111241d4f139eaef0a17f1
-odh-trustyai-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:6cf473a6db81f9aded5f96916ea556649bd4331a5c965df40070611dfb19647e
-odh-trustyai-notebook-image-n-1=quay.io/opendatahub/workbench-images@sha256:0d95e12b11260534a2ed404d3d281a9a75383ab141832ffe1fdbeadb5158ae0e
+odh-minimal-gpu-notebook-image-n-1=quay.io/opendatahub/workbench-images@sha256:5200abdd6180708640b83ac13159af3b39ea72c0dbbfbaa12f6dc7bae43b325d
+odh-pytorch-gpu-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:7fc66703964258a423e06c384ac7beb5b6e9fb8c386f0b6ac6683b129635b361
+odh-pytorch-gpu-notebook-image-n-1=quay.io/opendatahub/workbench-images@sha256:f275d1238f087c5f8f2daa89b01cdcf64aab9dad8003965239c9a8810fafc683
+odh-generic-data-science-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:406fde083c926df5a0f19ece89402c772e832a7463348dbe37c732ed9616250f
+odh-generic-data-science-notebook-image-n-1=quay.io/opendatahub/workbench-images@sha256:0b840a4ee92858f4a1ff38c95a0723cd5665b3184aa0dc4acaabcb40df169252
+odh-tensorflow-gpu-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:761f4029cbefbc00e2888abba17a4bc4ddd29ee8ded6a78d6e02cd96df08728f
+odh-tensorflow-gpu-notebook-image-n-1=quay.io/opendatahub/workbench-images@sha256:b18449db82529b4a32748e6f02de15bbb0537004e8cd7aaee5c5dece62f8dc4d
+odh-trustyai-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:20ee2d529dc5c55ac855613690448bc9efceed43c02d7e5e6bcd06efb7b43066
+odh-trustyai-notebook-image-n-1=quay.io/opendatahub/workbench-images@sha256:fa06b8b27edcff21f4057c6618e8f55abe62cef6a6e1df2ed186fbe233b6fc3d
 odh-habana-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:b00237d91ba53cd331cbffa935ba5b8f71ca36ddd0f63373e387de915eedd845
 odh-habana-notebook-image-n-1=quay.io/opendatahub/workbench-images@sha256:296cc2bad79a03fbd69108adbe2853f5adeceeca703ea76411c453a17489a648
-odh-codeserver-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:eff4089ac3f031439270d231922895a544d76f37d28ab125bdb09d8e84c5c36c
-odh-codeserver-notebook-image-n-1=quay.io/opendatahub/workbench-images@sha256:d624284904c9e988e05e1b8175f1cc38541066b00dc94573014b38153cafe3e1
-odh-rstudio-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:7e5525a2e957e4082ff732bb6221a75ce1a16256afc96d9837d4172fa355e9b1
-odh-rstudio-notebook-image-n-1=quay.io/opendatahub/workbench-images@sha256:718fe35e0a89061e0c99387b13b36765a3ea684700dcad11db3f53725e5de94f
-odh-rstudio-gpu-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:73ab21a73a92a2c86dfdb278758f1a39ea1ecf9670912f9ff1dc6640b4edaf38
-odh-rstudio-gpu-notebook-image-n-1=quay.io/opendatahub/workbench-images@sha256:f5abed3d9ece908b254e920bcaee4931f3c516f63dff83fd9c462ba4246a7c0d
+odh-codeserver-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:7b1e15cac7e5d7a55bd6fb006edffb5fdba5888912e01a79124b04b67f605cfa
+odh-codeserver-notebook-image-n-1=quay.io/opendatahub/workbench-images@sha256:780ac58724f7f3fc20226130d4eeab57818bfbed946148330b327a24eeef22ce
+odh-rstudio-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:2bbeb2b000ee7c5c17beb821b68d63f641833ffd8270712e925652bcec8b7d58
+odh-rstudio-notebook-image-n-1=quay.io/opendatahub/workbench-images@sha256:c932fbc3f2d226eac8ab5caa47ef025de5c41ae801bcfef3f1e98f1be1d5ef5c
+odh-rstudio-gpu-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:9f0e57a7a4f2269a50c41f3b41ac5c3434e48d287b902eb1c6956846e1baeaf4
+odh-rstudio-gpu-notebook-image-n-1=quay.io/opendatahub/workbench-images@sha256:1384495fe8fffb48a91a496a9d50a1f3d11de03c9c680553c0c332f07371e3a0

From 61c2fd959be157d298e7b6bbff5d3ff53512a186 Mon Sep 17 00:00:00 2001
From: atheo89 <atheodorak@outlook.com>
Date: Wed, 19 Jun 2024 10:13:20 +0200
Subject: [PATCH 06/11] Set Telemetry level Off

---
 codeserver/ubi9-python-3.9/run-code-server.sh | 99 ++++++++++---------
 1 file changed, 53 insertions(+), 46 deletions(-)

diff --git a/codeserver/ubi9-python-3.9/run-code-server.sh b/codeserver/ubi9-python-3.9/run-code-server.sh
index 5a606ff4b..7c68f6182 100755
--- a/codeserver/ubi9-python-3.9/run-code-server.sh
+++ b/codeserver/ubi9-python-3.9/run-code-server.sh
@@ -13,60 +13,67 @@ if [ ! -f "/opt/app-root/src/.bashrc" ]; then
   echo 'PS1="\[\033[34;1m\][\$(pwd)]\[\033[0m\]\n\[\033[1;0m\]$ \[\033[0m\]"' > /opt/app-root/src/.bashrc
 fi
 
-# Initilize access logs for culling
+# Initialize access logs for culling
 echo '[{"id":"code-server","name":"code-server","last_activity":"'$(date -Iseconds)'","execution_state":"running","connections":1}]' > /var/log/nginx/codeserver.access.log
 
-# Add "/opt/app-root/src/.vscode/" directory to set default interpreter also for Run & Debug
-user_dir="/opt/app-root/src/.vscode/"
-settings_filepath="${user_dir}settings.json"
-launch_filepath="${user_dir}launch.json"
+# Function to create directories and files if they do not exist
+create_dir_and_file() {
+  local dir=$1
+  local filepath=$2
+  local content=$3
 
-json_launch_settings='{
-    // Use IntelliSense to learn about possible attributes.
-    // Hover to view descriptions of existing attributes.
-    // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
-    "version": "0.2.0",
-    "configurations": [
-        {
-            "name": "Python Debugger: Current File",
-            "type": "debugpy",
-            "request": "launch",
-            "program": "${file}",
-            "console": "integratedTerminal",
-            "python": "/opt/app-root/bin/python3"
-        }
-    ]
+  if [ ! -d "$dir" ]; then
+    echo "Debug: Directory not found, creating '$dir'..."
+    mkdir -p "$dir"
+    echo "$content" > "$filepath"
+    echo "Debug: '$filepath' file created."
+  else
+    echo "Debug: Directory already exists."
+    if [ ! -f "$filepath" ]; then
+      echo "Debug: '$filepath' file not found, creating..."
+      echo "$content" > "$filepath"
+      echo "Debug: '$filepath' file created."
+    else
+      echo "Debug: '$filepath' file already exists."
+    fi
+  fi
+}
+
+# Define universal settings
+universal_dir="/opt/app-root/src/.local/share/code-server/User/"
+user_settings_filepath="${universal_dir}settings.json"
+universal_json_settings='{
+  "python.defaultInterpreterPath": "/opt/app-root/bin/python3",
+  "telemetry.telemetryLevel": "off",
+  "telemetry.enableTelemetry": false,
+  "workbench.enableExperiments": false
 }'
 
+# Define python debuger settings
+vscode_dir="/opt/app-root/src/.vscode/"
+settings_filepath="${vscode_dir}settings.json"
+launch_filepath="${vscode_dir}launch.json"
+json_launch_settings='{
+  "version": "0.2.0",
+  "configurations": [
+    {
+      "name": "Python Debugger: Current File",
+      "type": "debugpy",
+      "request": "launch",
+      "program": "${file}",
+      "console": "integratedTerminal",
+      "python": "/opt/app-root/bin/python3"
+    }
+  ]
+}'
 json_settings='{
   "python.defaultInterpreterPath": "/opt/app-root/bin/python3"
-  }'
-
-# Check if User directory exists
-if [ ! -d "$user_dir" ]; then
-  echo "Debug: User directory not found, creating '$user_dir'..."
-  mkdir -p "$user_dir"
-  echo "$json_launch_settings" > "$launch_filepath"
-  echo "Debug: '$launch_filepath' file created."
-  echo "$json_settings" > "$settings_filepath"
-  echo "Debug: '$settings_filepath' file created."
-else
-  echo "Debug: User directory already exists."
-  # Add settings.json and launch.json if not present
-  if [ ! -f "$launch_filepath" ]; then
-    echo "Debug: '$launch_filepath' file not found, creating..."
-    echo "$json_launch_settings" > "$launch_filepath"
-    echo "Debug: '$launch_filepath' file created."
-  elif [ ! -f "$settings_filepath" ]; then
-    echo "Debug: '$settings_filepath' file not found, creating..."
-    echo "$json_settings" > "$settings_filepath"
-    echo "Debug: '$settings_filepath' file created."
-  else
-    echo "Debug: '$launch_filepath' file already exists."
-    echo "Debug: '$settings_filepath' file already exists."
+}'
 
-  fi
-fi
+# Create necessary directories and files for python debuger and universal settings
+create_dir_and_file "$universal_dir" "$user_settings_filepath" "$universal_json_settings"
+create_dir_and_file "$vscode_dir" "$settings_filepath" "$json_settings"
+create_dir_and_file "$vscode_dir" "$launch_filepath" "$json_launch_settings"
 
 # Ensure the extensions directory exists
 extensions_dir="/opt/app-root/src/.local/share/code-server/extensions"

From 6f2ed510792a7b0b430ddc6a74b70244927afb8a Mon Sep 17 00:00:00 2001
From: Guilherme Caponetto <638737+caponetto@users.noreply.github.com>
Date: Fri, 21 Jun 2024 14:50:45 -0300
Subject: [PATCH 07/11] Add new GitHub workflow to sync branches through PR

---
 .../workflows/sync-branches-through-pr.yml    | 47 +++++++++++++++++++
 1 file changed, 47 insertions(+)
 create mode 100644 .github/workflows/sync-branches-through-pr.yml

diff --git a/.github/workflows/sync-branches-through-pr.yml b/.github/workflows/sync-branches-through-pr.yml
new file mode 100644
index 000000000..d08ab0560
--- /dev/null
+++ b/.github/workflows/sync-branches-through-pr.yml
@@ -0,0 +1,47 @@
+---
+name: Sync branches through Pull Request
+
+on:  # yamllint disable-line rule:truthy
+  workflow_dispatch:
+    inputs:
+      source:
+        description: Source branch
+        required: true
+      target:
+        description: Target branch
+        required: true
+
+jobs:
+  sync:
+    permissions:
+      contents: write
+      pull-requests: write
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+        with:
+          ref: ${{ github.event.inputs.target }}
+          fetch-depth: 0
+
+      - name: Prepare sync branch
+        id: prepare
+        run: |
+          git fetch origin ${{ github.event.inputs.source }}
+          git reset --hard origin/${{ github.event.inputs.source }}
+
+          TIMESTAMP=$(date +'%Y%m%d%H%M%S')
+          SYNC_BRANCH=sync__${{ github.event.inputs.source }}__${{ github.event.inputs.target }}__${TIMESTAMP}
+          echo "branch=$SYNC_BRANCH" >> $GITHUB_OUTPUT
+
+      - name: Create pull request
+        uses: peter-evans/create-pull-request@c5a7806660adbe173f04e3e038b0ccdcd758773c  # v6.1.0
+        with:
+          branch: ${{ steps.prepare.outputs.branch }}
+          title: "Sync `${{ github.event.inputs.target }}` branch with `${{ github.event.inputs.source }}` branch"
+          body: |
+            :robot: This is an automated Pull Request created by `/.github/workflows/sync-branches-through-pr.yml`.
+
+            It merges all commits from `${{ github.event.inputs.source }}` branch into `${{ github.event.inputs.target }}` branch.
+
+            :warning: **IMPORTANT NOTE**: Remember to delete the `${{ steps.prepare.outputs.branch }}` branch after merging the changes.

From 6ce17a4d9effb0ad1a905c47cbcd24f5f90c3a7b Mon Sep 17 00:00:00 2001
From: atheo89 <atheodorak@outlook.com>
Date: Thu, 13 Jun 2024 13:34:05 +0200
Subject: [PATCH 08/11] Replace spawn-fcgi with supervisord in code-server and
 r-studio server

---
 codeserver/ubi9-python-3.9/Dockerfile                   | 6 +++---
 codeserver/ubi9-python-3.9/run-code-server.sh           | 4 ++--
 codeserver/ubi9-python-3.9/supervisord/supervisord.conf | 8 ++++++++
 rstudio/c9s-python-3.9/Dockerfile                       | 6 +++---
 rstudio/c9s-python-3.9/run-rstudio.sh                   | 4 ++--
 rstudio/c9s-python-3.9/supervisord/supervisord.conf     | 8 ++++++++
 6 files changed, 26 insertions(+), 10 deletions(-)
 create mode 100644 codeserver/ubi9-python-3.9/supervisord/supervisord.conf
 create mode 100644 rstudio/c9s-python-3.9/supervisord/supervisord.conf

diff --git a/codeserver/ubi9-python-3.9/Dockerfile b/codeserver/ubi9-python-3.9/Dockerfile
index 42eda0a74..4b40b2adc 100644
--- a/codeserver/ubi9-python-3.9/Dockerfile
+++ b/codeserver/ubi9-python-3.9/Dockerfile
@@ -60,13 +60,13 @@ ENV NGINX_VERSION=1.24 \
 
 # Modules does not exist
 RUN yum install -y https://download.fedoraproject.org/pub/epel/epel-release-latest-9.noarch.rpm && \
-    INSTALL_PKGS="bind-utils nginx nginx-mod-stream nginx-mod-http-perl fcgiwrap initscripts chkconfig" && \
+    INSTALL_PKGS="bind-utils nginx nginx-mod-stream nginx-mod-http-perl fcgiwrap initscripts chkconfig supervisor" && \
     yum install -y --setopt=tsflags=nodocs $INSTALL_PKGS && \
     rpm -V $INSTALL_PKGS && \
-    # spawn-fcgi is not in epel9 \
-    rpm -i --nodocs https://archives.fedoraproject.org/pub/archive/fedora/linux/releases/37/Everything/x86_64/os/Packages/s/spawn-fcgi-1.6.3-23.fc37.x86_64.rpm && \
     yum -y clean all --enablerepo='*'
 
+COPY --chown=1001:0 supervisord/supervisord.conf /etc/supervisor/conf.d/supervisord.conf
+
 # Copy extra files to the image.
 COPY nginx/root/ /
 
diff --git a/codeserver/ubi9-python-3.9/run-code-server.sh b/codeserver/ubi9-python-3.9/run-code-server.sh
index 5a606ff4b..0824ae28f 100755
--- a/codeserver/ubi9-python-3.9/run-code-server.sh
+++ b/codeserver/ubi9-python-3.9/run-code-server.sh
@@ -4,9 +4,9 @@
 SCRIPT_DIR=$(dirname -- "$0")
 source ${SCRIPT_DIR}/utils/*.sh
 
-# Start nginx and fastcgiwrap
+# Start nginx and supervisord
 run-nginx.sh &
-spawn-fcgi -s /var/run/fcgiwrap.socket -M 766 /usr/sbin/fcgiwrap 
+/usr/bin/supervisord -c /etc/supervisor/conf.d/supervisord.conf &
 
 # Add .bashrc for custom promt if not present
 if [ ! -f "/opt/app-root/src/.bashrc" ]; then
diff --git a/codeserver/ubi9-python-3.9/supervisord/supervisord.conf b/codeserver/ubi9-python-3.9/supervisord/supervisord.conf
new file mode 100644
index 000000000..801ac53ba
--- /dev/null
+++ b/codeserver/ubi9-python-3.9/supervisord/supervisord.conf
@@ -0,0 +1,8 @@
+[supervisord]
+nodaemon=true
+
+[program:fcgiwrap]
+command=/usr/sbin/fcgiwrap -s unix:/var/run/fcgiwrap.socket
+autostart=true
+autorestart=true
+redirect_stderr=true
diff --git a/rstudio/c9s-python-3.9/Dockerfile b/rstudio/c9s-python-3.9/Dockerfile
index f67f97ce8..0d086fbc0 100644
--- a/rstudio/c9s-python-3.9/Dockerfile
+++ b/rstudio/c9s-python-3.9/Dockerfile
@@ -73,14 +73,14 @@ ENV NGINX_VERSION=1.24 \
 
 # Modules does not exist
 RUN yum -y module enable nginx:$NGINX_VERSION && \
-    INSTALL_PKGS="nss_wrapper bind-utils gettext hostname nginx nginx-mod-stream nginx-mod-http-perl fcgiwrap initscripts chkconfig" && \
+    INSTALL_PKGS="nss_wrapper bind-utils gettext hostname nginx nginx-mod-stream nginx-mod-http-perl fcgiwrap initscripts chkconfig supervisor" && \
     yum install -y --setopt=tsflags=nodocs $INSTALL_PKGS && \
     rpm -V $INSTALL_PKGS && \
     nginx -v 2>&1 | grep -qe "nginx/$NGINX_VERSION\." && echo "Found VERSION $NGINX_VERSION" && \
-    # spawn-fcgi is not in epel9
-    rpm -i --nodocs https://archives.fedoraproject.org/pub/archive/fedora/linux/releases/37/Everything/x86_64/os/Packages/s/spawn-fcgi-1.6.3-23.fc37.x86_64.rpm && \
     yum -y clean all --enablerepo='*'
 
+COPY --chown=1001:0 supervisord/supervisord.conf /etc/supervisor/conf.d/supervisord.conf
+
 # Copy extra files to the image.
 COPY nginx/root/ /
 
diff --git a/rstudio/c9s-python-3.9/run-rstudio.sh b/rstudio/c9s-python-3.9/run-rstudio.sh
index 7099415ed..25cb38fdf 100755
--- a/rstudio/c9s-python-3.9/run-rstudio.sh
+++ b/rstudio/c9s-python-3.9/run-rstudio.sh
@@ -4,9 +4,9 @@
 SCRIPT_DIR=$(dirname -- "$0")
 source ${SCRIPT_DIR}/utils/*.sh
 
-# Start nginx and fastcgiwrap
+# Start nginx and supervisord
 run-nginx.sh &
-spawn-fcgi -s /var/run/fcgiwrap.socket -M 766 /usr/sbin/fcgiwrap 
+/usr/bin/supervisord -c /etc/supervisor/conf.d/supervisord.conf &
 
 
 # Add .bashrc for custom promt if not present
diff --git a/rstudio/c9s-python-3.9/supervisord/supervisord.conf b/rstudio/c9s-python-3.9/supervisord/supervisord.conf
new file mode 100644
index 000000000..801ac53ba
--- /dev/null
+++ b/rstudio/c9s-python-3.9/supervisord/supervisord.conf
@@ -0,0 +1,8 @@
+[supervisord]
+nodaemon=true
+
+[program:fcgiwrap]
+command=/usr/sbin/fcgiwrap -s unix:/var/run/fcgiwrap.socket
+autostart=true
+autorestart=true
+redirect_stderr=true

From 7bfbf321c73c2b4b7c6567541181099ee1d8a655 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Jiri=20Dan=C4=9Bk?= <jdanek@redhat.com>
Date: Wed, 26 Jun 2024 13:37:21 +0200
Subject: [PATCH 09/11] Limit PR checks to build only the modified images
 (#558)

---
 .github/workflows/build-notebooks-pr.yaml |  20 +++-
 Makefile                                  |   1 +
 ci/cached-builds/gen_gha_matrix_jobs.py   |  43 +++++++-
 ci/cached-builds/gha_pr_changed_files.py  | 126 ++++++++++++++++++++++
 4 files changed, 185 insertions(+), 5 deletions(-)
 create mode 100644 ci/cached-builds/gha_pr_changed_files.py

diff --git a/.github/workflows/build-notebooks-pr.yaml b/.github/workflows/build-notebooks-pr.yaml
index d04d90a6c..fd93b545d 100644
--- a/.github/workflows/build-notebooks-pr.yaml
+++ b/.github/workflows/build-notebooks-pr.yaml
@@ -1,28 +1,40 @@
 ---
 "name": "Build Notebooks"
-"permissions":
-  "packages": "read"
 "on":
   "pull_request":
 
+permissions:
+  contents: read
+  packages: read
+  pull-requests: read
+
 jobs:
   gen:
     name: Generate job matrix
     runs-on: ubuntu-latest
     outputs:
       matrix: ${{ steps.gen.outputs.matrix }}
+      has_jobs: ${{ steps.gen.outputs.has_jobs }}
     steps:
       - uses: actions/checkout@v4
-      - run: python3 ci/cached-builds/gen_gha_matrix_jobs.py
+
+      - run: |
+          python3 ci/cached-builds/gen_gha_matrix_jobs.py \
+            --owner=${{ github.repository_owner }} \
+            --repo=${{ github.event.pull_request.base.repo.name }} \
+            --pr-number=${{ github.event.pull_request.number }} \
+            --skip-unchanged
         id: gen
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
 
-  # base images
   build:
     needs: ["gen"]
     strategy:
       fail-fast: false
       matrix: "${{ fromJson(needs.gen.outputs.matrix) }}"
     uses: ./.github/workflows/build-notebooks-TEMPLATE.yaml
+    if: ${{ fromJson(needs.gen.outputs.has_jobs) }}
     with:
       target: "${{ matrix.target }}"
       github: "${{ toJSON(github) }}"
diff --git a/Makefile b/Makefile
index 83e9fcb50..ac28bfe8c 100644
--- a/Makefile
+++ b/Makefile
@@ -59,6 +59,7 @@ endef
 #   ARG 2: Path of image context we want to build.
 #   ARG 3: Base image tag name (optional).
 define image
+	$(info #*# Image build directory: <$(2)> #(MACHINE-PARSED LINE)#*#...)
 	$(call build_image,$(1),$(2),$(3))
 	$(call push_image,$(1))
 endef
diff --git a/ci/cached-builds/gen_gha_matrix_jobs.py b/ci/cached-builds/gen_gha_matrix_jobs.py
index 867577932..7a4746275 100644
--- a/ci/cached-builds/gen_gha_matrix_jobs.py
+++ b/ci/cached-builds/gen_gha_matrix_jobs.py
@@ -1,11 +1,17 @@
+import argparse
 import itertools
 import json
+import logging
 import os
 import pathlib
 import re
 import string
+import sys
+import unittest
 from typing import Iterable
 
+import gha_pr_changed_files
+
 """Trivial Makefile parser that extracts target dependencies so that we can build each Dockerfile image target in its
 own GitHub Actions job and handle dependencies between them.
 
@@ -115,11 +121,13 @@ def write_github_workflow_file(tree: dict[str, list[str]], path: pathlib.Path) -
 def flatten(list_of_lists):
     return list(itertools.chain.from_iterable(list_of_lists))
 
+
 def compute_leafs_in_dependency_tree(tree: dict[str, list[str]]) -> list[str]:
     key_set = set(tree.keys())
     value_set = set(flatten(tree.values()))
     return [key for key in key_set if key not in value_set]
 
+
 def print_github_actions_pr_matrix(tree: dict[str, list[str]], leafs: list[str]) -> list[str]:
     """Outputs GitHub matrix definition Json
     """
@@ -136,10 +144,24 @@ def print_github_actions_pr_matrix(tree: dict[str, list[str]], leafs: list[str])
         targets.append(leaf)
 
     matrix = {"target": targets}
-    return [f"matrix={json.dumps(matrix, separators=(',', ':'))}"]
+    return [f"matrix={json.dumps(matrix, separators=(',', ':'))}",
+            f"has_jobs={json.dumps(len(leafs) > 0, separators=(',', ':'))}"]
 
 
 def main() -> None:
+    logging.basicConfig(level=logging.DEBUG, stream=sys.stderr)
+
+    argparser = argparse.ArgumentParser()
+    argparser.add_argument("--owner", type=str, required=False,
+                           help="GitHub repo owner/org (for the --skip-unchanged feature)")
+    argparser.add_argument("--repo", type=str, required=False,
+                           help="GitHub repo name (for the --skip-unchanged feature)")
+    argparser.add_argument("--pr-number", type=int, required=False,
+                           help="PR number under owner/repo (for the --skip-unchanged feature)")
+    argparser.add_argument("--skip-unchanged", type=bool, required=False, default=False,
+                           action=argparse.BooleanOptionalAction)
+    args = argparser.parse_args()
+
     # https://www.gnu.org/software/make/manual/make.html#Reading-Makefiles
     with open("Makefile", "rt") as makefile:
         lines = read_makefile_lines(makefile)
@@ -148,6 +170,10 @@ def main() -> None:
     write_github_workflow_file(tree, project_dir / ".github" / "workflows" / "build-notebooks.yaml")
 
     leafs = compute_leafs_in_dependency_tree(tree)
+    if args.skip_unchanged:
+        logging.info(f"Skipping targets not modified in PR #{args.pr_number}")
+        changed_files = gha_pr_changed_files.list_changed_files(args.owner, args.repo, args.pr_number)
+        leafs = gha_pr_changed_files.filter_out_unchanged(leafs, changed_files)
     output = print_github_actions_pr_matrix(tree, leafs)
 
     print("leafs", leafs)
@@ -159,3 +185,18 @@ def main() -> None:
 
 if __name__ == '__main__':
     main()
+
+
+class SelfTests(unittest.TestCase):
+    def test_select_changed_targets(self):
+        with open(project_dir / "Makefile", "rt") as makefile:
+            lines = read_makefile_lines(makefile)
+        tree = extract_target_dependencies(lines)
+        leafs = compute_leafs_in_dependency_tree(tree)
+
+        changed_files = ["jupyter/datascience/ubi9-python-3.9/Dockerfile"]
+
+        leafs = gha_pr_changed_files.filter_out_unchanged(leafs, changed_files)
+        assert set(leafs) == {'cuda-jupyter-tensorflow-ubi9-python-3.9',
+                              'jupyter-trustyai-ubi9-python-3.9',
+                              'jupyter-pytorch-ubi9-python-3.9'}
diff --git a/ci/cached-builds/gha_pr_changed_files.py b/ci/cached-builds/gha_pr_changed_files.py
new file mode 100644
index 000000000..1f3ab56e1
--- /dev/null
+++ b/ci/cached-builds/gha_pr_changed_files.py
@@ -0,0 +1,126 @@
+import json
+import logging
+import os
+import pathlib
+import re
+import subprocess
+import unittest
+import urllib.request
+
+PROJECT_ROOT = pathlib.Path(__file__).parent.parent.parent.resolve()
+
+
+def get_github_token() -> str:
+    github_token = os.environ['GITHUB_TOKEN']
+    return github_token
+
+
+# https://docs.github.com/en/graphql/guides/forming-calls-with-graphql
+def compose_gh_api_request(pull_number: int, owner="opendatahub-io", repo="notebooks", per_page=100,
+                           cursor="") -> urllib.request.Request:
+    github_token = get_github_token()
+
+    return urllib.request.Request(
+        url="https://api.github.com/graphql",
+        method="POST",
+        headers={
+            "Authorization": f"bearer {github_token}",
+        },
+        # https://docs.github.com/en/graphql/guides/using-the-explorer
+        data=json.dumps({"query": f"""
+{{
+  repository(owner:"{owner}", name:"{repo}") {{
+    pullRequest(number:{pull_number}) {{
+      files(first:{per_page}, after:"{cursor}") {{
+        edges {{
+          node {{
+            path
+          }}
+          cursor
+        }}
+      }}
+    }}
+  }}
+}}
+    """}).encode("utf-8"),
+    )
+
+
+def list_changed_files(owner: str, repo: str, pr_number: int, per_page=100) -> list[str]:
+    files = []
+
+    logging.debug("Getting list of changed files from GitHub API")
+
+    CURSOR = ""
+    while CURSOR is not None:
+        request = compose_gh_api_request(pull_number=pr_number, owner=owner, repo=repo, per_page=per_page,
+                                         cursor=CURSOR)
+        response = urllib.request.urlopen(request)
+        data = json.loads(response.read().decode("utf-8"))
+        response.close()
+        edges = data["data"]["repository"]["pullRequest"]["files"]["edges"]
+
+        CURSOR = None
+        for edge in edges:
+            files.append(edge["node"]["path"])
+            CURSOR = edge["cursor"]
+
+    logging.debug(f"Determined {len(files)} changed files: {files[:5]} (..., printing up to 5)")
+    return files
+
+
+def analyze_build_directories(make_target) -> list[str]:
+    directories = []
+
+    pattern = re.compile(r"#\*# Image build directory: <(?P<dir>[^>]+)> #\(MACHINE-PARSED LINE\)#\*#\.\.\.")
+    try:
+        logging.debug(f"Running make in --just-print mode for target {make_target}")
+        for line in subprocess.check_output(["make", make_target, "--just-print"], encoding="utf-8",
+                                            cwd=PROJECT_ROOT).splitlines():
+            if m := pattern.match(line):
+                directories.append(m["dir"])
+    except subprocess.CalledProcessError as e:
+        print(e.stderr, e.stdout)
+        raise
+
+    logging.debug(f"Target {make_target} depends on files in directories {directories}")
+    return directories
+
+
+def should_build_target(changed_files: list[str], target_directories: list[str]) -> str:
+    """Returns truthy if there is at least one changed file necessitating a build.
+    Falsy (empty) string is returned otherwise."""
+    for directory in target_directories:
+        for changed_file in changed_files:
+            if changed_file.startswith(directory):
+                return changed_file
+    return ""
+
+
+def filter_out_unchanged(targets: list[str], changed_files: list[str]) -> list[str]:
+    changed = []
+    for target in targets:
+        target_directories = analyze_build_directories(target)
+        if reason := should_build_target(changed_files, target_directories):
+            logging.info(f"✅ Will build {target} because file {reason} has been changed")
+            changed.append(target)
+        else:
+            logging.info(f"❌ Won't build {target}")
+    return changed
+
+
+class SelfTests(unittest.TestCase):
+    def test_compose_gh_api_request__call_without_asserting(self):
+        request = compose_gh_api_request(pull_number=556, per_page=100, cursor="")
+        print(request.data)
+
+    def test_list_changed_files__pagination_works(self):
+        changed_files = list_changed_files(owner="opendatahub-io", repo="notebooks", pr_number=556, per_page=1)
+        assert set(changed_files) == {'codeserver/ubi9-python-3.9/Dockerfile',
+                                      'codeserver/ubi9-python-3.9/run-code-server.sh'}
+
+    def test_analyze_build_directories(self):
+        directories = analyze_build_directories("jupyter-intel-pytorch-ubi9-python-3.9")
+        assert set(directories) == {"base/ubi9-python-3.9",
+                                    "intel/base/gpu/ubi9-python-3.9",
+                                    "jupyter/intel/pytorch/ubi9-python-3.9"}

From 088ab3ce88cb1efd9e6842f5345f928f5e4a46ab Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Jiri=20Dan=C4=9Bk?= <jdanek@redhat.com>
Date: Wed, 26 Jun 2024 16:47:14 +0200
Subject: [PATCH 10/11] ci: increase available disk space for GHA container
 image builds (#577)

* ci: increase available disk space for GHA container image builds

This PR creates a LVM overlay,
increasing the available disk space from previous 66GB to 82GB by default,
and 106GB when building any amd/cude/pytorch/tensorflow image.

* fixup from review, add intel
---
 .../workflows/build-notebooks-TEMPLATE.yaml   | 38 +++++++++-
 ci/cached-builds/gha_lvm_overlay.bash         | 74 +++++++++++++++++++
 ci/cached-builds/storage.conf                 |  3 +-
 3 files changed, 109 insertions(+), 6 deletions(-)
 create mode 100755 ci/cached-builds/gha_lvm_overlay.bash

diff --git a/.github/workflows/build-notebooks-TEMPLATE.yaml b/.github/workflows/build-notebooks-TEMPLATE.yaml
index 808e428d0..c083b3ad0 100644
--- a/.github/workflows/build-notebooks-TEMPLATE.yaml
+++ b/.github/workflows/build-notebooks-TEMPLATE.yaml
@@ -34,6 +34,38 @@ jobs:
           username: ${{ github.actor }}
           password: ${{ secrets.GITHUB_TOKEN }}
 
+      - name: Free up additional disk space
+        # https://docs.github.com/en/actions/learn-github-actions/expressions
+        if: "${{ contains(inputs.target, 'amd') || contains(inputs.target, 'cuda') || contains(inputs.target, 'intel') ||
+         contains(inputs.target, 'pytorch') || contains(inputs.target, 'tensorflow') }}"
+        run: |
+          set -x
+
+          df -h
+
+          sudo rm -rf /usr/local/lib/android &
+          sudo rm -rf /usr/local/share/boost &
+          sudo rm -rf /usr/local/lib/node_modules &
+          sudo rm -rf /usr/share/dotnet &
+          sudo rm -rf /opt/ghc &
+          sudo rm -rf /opt/hostedtoolcache/CodeQL &
+
+          sudo docker image prune --all --force &
+
+          wait
+
+          df -h
+
+      - name: Mount lvm overlay for podman builds
+        run: |
+          df -h
+          free -h
+
+          bash ./ci/cached-builds/gha_lvm_overlay.bash
+
+          df -h
+          free -h
+
       # https://github.com/containers/buildah/issues/2521#issuecomment-884779112
       - name: Workaround https://github.com/containers/podman/issues/22152#issuecomment-2027705598
         run: sudo apt-get -qq remove podman crun
@@ -58,12 +90,10 @@ jobs:
           mkdir -p $HOME/.config/containers/
           cp ci/cached-builds/containers.conf $HOME/.config/containers/containers.conf
           cp ci/cached-builds/storage.conf $HOME/.config/containers/storage.conf
+
           # should at least reset storage when touching storage.conf
-          sudo mkdir -p /mnt/containers/
-          sudo chown -R $USER:$USER /mnt/containers
           podman system reset --force
-          # podman bug? need to create this _after_ doing the reset
-          mkdir -p /mnt/containers/tmp
+          mkdir -p $HOME/.local/share/containers/storage/tmp
 
       # https://docs.github.com/en/actions/using-workflows/events-that-trigger-workflows#push
       - name: "push: make ${{ inputs.target }}"
diff --git a/ci/cached-builds/gha_lvm_overlay.bash b/ci/cached-builds/gha_lvm_overlay.bash
new file mode 100755
index 000000000..f890e80ba
--- /dev/null
+++ b/ci/cached-builds/gha_lvm_overlay.bash
@@ -0,0 +1,74 @@
+/usr/bin/env bash
+set -Eeuo pipefail
+
+# GitHub Actions runners have two disks, /dev/root and /dev/sda1.
+# We would like to be able to combine available disk space on both and use it for podman container builds.
+#
+# This script creates file-backed volumes on /dev/root and /dev/sda1, then creates ext4 over both, and mounts it for our use
+# https://github.com/easimon/maximize-build-space/blob/master/action.yml
+
+root_reserve_mb=2048
+temp_reserve_mb=100
+swap_size_mb=4096
+
+build_mount_path="${HOME}/.local/share/containers"
+build_mount_path_ownership="runner:runner"
+
+pv_loop_path=/pv.img
+tmp_pv_loop_path=/mnt/tmp-pv.img
+overprovision_lvm=false
+
+VG_NAME=buildvg
+
+# github runners have an active swap file in /mnt/swapfile
+# we want to reuse the temp disk, so first unmount swap and clean the temp disk
+echo "Unmounting and removing swap file."
+sudo swapoff -a
+sudo rm -f /mnt/swapfile
+
+echo "Creating LVM Volume."
+echo "  Creating LVM PV on root fs."
+# create loop pv image on root fs
+ROOT_RESERVE_KB=$(expr ${root_reserve_mb} \* 1024)
+ROOT_FREE_KB=$(df --block-size=1024 --output=avail / | tail -1)
+ROOT_LVM_SIZE_KB=$(expr $ROOT_FREE_KB - $ROOT_RESERVE_KB)
+ROOT_LVM_SIZE_BYTES=$(expr $ROOT_LVM_SIZE_KB \* 1024)
+sudo touch "${pv_loop_path}" && sudo fallocate -z -l "${ROOT_LVM_SIZE_BYTES}" "${pv_loop_path}"
+export ROOT_LOOP_DEV=$(sudo losetup --find --show "${pv_loop_path}")
+sudo pvcreate -f "${ROOT_LOOP_DEV}"
+
+# create pv on temp disk
+echo "  Creating LVM PV on temp fs."
+TMP_RESERVE_KB=$(expr ${temp_reserve_mb} \* 1024)
+TMP_FREE_KB=$(df --block-size=1024 --output=avail /mnt | tail -1)
+TMP_LVM_SIZE_KB=$(expr $TMP_FREE_KB - $TMP_RESERVE_KB)
+TMP_LVM_SIZE_BYTES=$(expr $TMP_LVM_SIZE_KB \* 1024)
+sudo touch "${tmp_pv_loop_path}" && sudo fallocate -z -l "${TMP_LVM_SIZE_BYTES}" "${tmp_pv_loop_path}"
+export TMP_LOOP_DEV=$(sudo losetup --find --show "${tmp_pv_loop_path}")
+sudo pvcreate -f "${TMP_LOOP_DEV}"
+
+# create volume group from these pvs
+sudo vgcreate "${VG_NAME}" "${TMP_LOOP_DEV}" "${ROOT_LOOP_DEV}"
+
+echo "Recreating swap"
+# create and activate swap
+sudo lvcreate -L "${swap_size_mb}M" -n swap "${VG_NAME}"
+sudo mkswap "/dev/mapper/${VG_NAME}-swap"
+sudo swapon "/dev/mapper/${VG_NAME}-swap"
+
+echo "Creating build volume"
+# create and mount build volume
+sudo lvcreate --type raid0 --stripes 2 --stripesize 4 --alloc anywhere --extents 100%FREE --name buildlv "${VG_NAME}"
+if [[ ${overprovision_lvm} == 'true' ]]; then
+  sudo mkfs.ext4 -m0 "/dev/mapper/${VG_NAME}-buildlv"
+else
+  sudo mkfs.ext4 -Enodiscard -m0 "/dev/mapper/${VG_NAME}-buildlv"
+fi
+sudo mount "/dev/mapper/${VG_NAME}-buildlv" "${build_mount_path}"
+sudo chown -R "${build_mount_path_ownership}" "${build_mount_path}"
+
+# if build mount path is a parent of $GITHUB_WORKSPACE, and has been deleted, recreate it
+if [[ ! -d "${GITHUB_WORKSPACE}" ]]; then
+  sudo mkdir -p "${GITHUB_WORKSPACE}"
+  sudo chown -R "${WORKSPACE_OWNER}" "${GITHUB_WORKSPACE}"
+fi
diff --git a/ci/cached-builds/storage.conf b/ci/cached-builds/storage.conf
index 24a181ec0..eb9bba42a 100644
--- a/ci/cached-builds/storage.conf
+++ b/ci/cached-builds/storage.conf
@@ -2,10 +2,9 @@
 
 [storage]
 driver="overlay"
-rootless_storage_path="/mnt/containers"
 
 [storage.options]
 # https://www.redhat.com/sysadmin/faster-container-image-pulls
-pull_options = {enable_partial_images = "true", use_hard_links = "true", ostree_repos=""}
+pull_options = {enable_partial_images = "true", use_hard_links = "false", ostree_repos=""}
 
 [storage.options.overlay]

From 9f0a83769c69a5b4ae16a51dc91e254df60304be Mon Sep 17 00:00:00 2001
From: Diamond Bryant <135062655+dibryant@users.noreply.github.com>
Date: Thu, 27 Jun 2024 15:44:17 -0400
Subject: [PATCH 11/11] Setup build images for Pytorch & Tensorflow with base
 ROCm image (#557)

* Setup build images for AMD Pytorch & Tensorflow with base ROCm image
* Commit piplock for amd pytorch
* Update the pipfile.lock with AMD supported torch and tf
* Update the Makefile to have AMD structure corrected

---------

Signed-off-by: Diamond Bryant <dibryant@redhat.com>
Co-authored-by: atheo89 <atheodorak@outlook.com>
Co-authored-by: Harshad Reddy Nalla <hnalla@redhat.com>
---
 Makefile                                      |   26 +
 .../amd/pytorch/ubi9-python-3.9/Dockerfile    |   27 +
 jupyter/amd/pytorch/ubi9-python-3.9/Pipfile   |   62 +
 .../amd/pytorch/ubi9-python-3.9/Pipfile.lock  | 4160 ++++++++++++++++
 .../kustomize/base/kustomization.yaml         |   13 +
 .../kustomize/base/service.yaml               |   15 +
 .../kustomize/base/statefulset.yaml           |   58 +
 .../ubi9-python-3.9/test/test_notebook.ipynb  |  163 +
 .../amd/tensorflow/ubi9-python-3.9/Dockerfile |   27 +
 .../amd/tensorflow/ubi9-python-3.9/Pipfile    |   67 +
 .../tensorflow/ubi9-python-3.9/Pipfile.lock   | 4302 +++++++++++++++++
 .../kustomize/base/kustomization.yaml         |   13 +
 .../kustomize/base/service.yaml               |   15 +
 .../kustomize/base/statefulset.yaml           |   58 +
 .../ubi9-python-3.9/test/test_notebook.ipynb  |   89 +
 15 files changed, 9095 insertions(+)
 create mode 100644 jupyter/amd/pytorch/ubi9-python-3.9/Dockerfile
 create mode 100644 jupyter/amd/pytorch/ubi9-python-3.9/Pipfile
 create mode 100644 jupyter/amd/pytorch/ubi9-python-3.9/Pipfile.lock
 create mode 100644 jupyter/amd/pytorch/ubi9-python-3.9/kustomize/base/kustomization.yaml
 create mode 100644 jupyter/amd/pytorch/ubi9-python-3.9/kustomize/base/service.yaml
 create mode 100644 jupyter/amd/pytorch/ubi9-python-3.9/kustomize/base/statefulset.yaml
 create mode 100644 jupyter/amd/pytorch/ubi9-python-3.9/test/test_notebook.ipynb
 create mode 100644 jupyter/amd/tensorflow/ubi9-python-3.9/Dockerfile
 create mode 100644 jupyter/amd/tensorflow/ubi9-python-3.9/Pipfile
 create mode 100644 jupyter/amd/tensorflow/ubi9-python-3.9/Pipfile.lock
 create mode 100644 jupyter/amd/tensorflow/ubi9-python-3.9/kustomize/base/kustomization.yaml
 create mode 100644 jupyter/amd/tensorflow/ubi9-python-3.9/kustomize/base/service.yaml
 create mode 100644 jupyter/amd/tensorflow/ubi9-python-3.9/kustomize/base/statefulset.yaml
 create mode 100644 jupyter/amd/tensorflow/ubi9-python-3.9/test/test_notebook.ipynb

diff --git a/Makefile b/Makefile
index ac28bfe8c..b7da5dcc3 100644
--- a/Makefile
+++ b/Makefile
@@ -267,6 +267,32 @@ rstudio-c9s-python-3.9: base-c9s-python-3.9
 cuda-rstudio-c9s-python-3.9: cuda-c9s-python-3.9
 	$(call image,$@,rstudio/c9s-python-3.9,$<)
 
+####################################### Buildchain for AMD Python 3.9 using C9S #######################################
+.PHONY: amd-c9s-python-3.9
+amd-c9s-python-3.9: base-c9s-python-3.9	
+	$(call image,$@,amd/c9s-python-3.9,$<)
+
+# We are only using c9s base image here onwards, 
+# DON'T confuse due to the ubi9 mention, it just directory name.
+.PHONY: amd-minimal-c9s-python-3.9
+amd-minimal-c9s-python-3.9: amd-c9s-python-3.9
+	$(call image,$@,jupyter/minimal/ubi9-python-3.9,$<)
+
+# Build and push cuda-jupyter-datascience-ubi9-python-3.9 image to the registry
+.PHONY: amd-jupyter-datascience-c9s-python-3.9
+amd-jupyter-datascience-c9s-python-3.9: amd-jupyter-minimal-ubi9-python-3.9
+	$(call image,$@,jupyter/datascience/ubi9-python-3.9,$<)
+
+# Build and push cuda-jupyter-tensorflow-ubi9-python-3.9 image to the registry
+.PHONY: amd-jupyter-tensorflow-c9s-python-3.9
+amd-jupyter-tensorflow-c9s-python-3.9: amd-jupyter-datascience-c9s-python-3.9
+	$(call image,$@,jupyter/amd/tensorflow/ubi9-python-3.9,$<)
+
+# Build and push jupyter-pytorch-ubi9-python-3.9 image to the registry
+.PHONY: amd-jupyter-pytorch-c9s-python-3.9
+amd-jupyter-pytorch-c9s-python-3.9: amd-jupyter-datascience-c9s-python-3.9
+	$(call image,$@,jupyter/amd/pytorch/ubi9-python-3.9,$<)
+
 ####################################### Buildchain for Anaconda Python #######################################
 
 # Build and push base-anaconda-python-3.8 image to the registry
diff --git a/jupyter/amd/pytorch/ubi9-python-3.9/Dockerfile b/jupyter/amd/pytorch/ubi9-python-3.9/Dockerfile
new file mode 100644
index 000000000..a3b0a372f
--- /dev/null
+++ b/jupyter/amd/pytorch/ubi9-python-3.9/Dockerfile
@@ -0,0 +1,27 @@
+ARG BASE_IMAGE
+FROM ${BASE_IMAGE}
+
+LABEL name="odh-notebook-jupyter-amd-pytorch-ubi9-python-3.9" \
+    summary="Jupyter AMD pytorch notebook image for ODH notebooks" \
+    description="Jupyter AMD pytorch notebook image with base Python 3.9 builder image based on UBI9 for ODH notebooks" \
+    io.k8s.display-name="Jupyter AMD pytorch notebook image for ODH notebooks" \
+    io.k8s.description="Jupyter AMD pytorch notebook image with base Python 3.9 builder image based on UBI9 for ODH notebooks" \
+    authoritative-source-url="https://github.com/opendatahub-io/notebooks" \
+    io.openshift.build.commit.ref="main" \
+    io.openshift.build.source-location="https://github.com/opendatahub-io/notebooks/tree/main/jupyter/amd/pytorch/ubi9-python-3.9" \
+    io.openshift.build.image="quay.io/opendatahub/workbench-images:jupyter-amd-pytorch-ubi9-python-3.9"
+
+# Install Python packages and Jupyterlab extensions from Pipfile.lock
+COPY Pipfile.lock ./
+
+RUN echo "Installing softwares and packages" && \
+    micropipenv install && \
+    rm -f ./Pipfile.lock && \
+    # Replace Notebook's launcher, "(ipykernel)" with Python's version 3.x.y \
+    sed -i -e "s/Python.*/$(python --version | cut -d '.' -f-2)\",/" /opt/app-root/share/jupyter/kernels/python3/kernel.json && \
+    # Disable announcement plugin of jupyterlab \
+    jupyter labextension disable "@jupyterlab/apputils-extension:announcements"
+
+# Fix permissions to support pip in Openshift environments
+RUN chmod -R g+w /opt/app-root/lib/python3.9/site-packages && \
+    fix-permissions /opt/app-root -P
diff --git a/jupyter/amd/pytorch/ubi9-python-3.9/Pipfile b/jupyter/amd/pytorch/ubi9-python-3.9/Pipfile
new file mode 100644
index 000000000..5463c653a
--- /dev/null
+++ b/jupyter/amd/pytorch/ubi9-python-3.9/Pipfile
@@ -0,0 +1,62 @@
+[[source]]
+url = "https://pypi.org/simple"
+verify_ssl = true
+name = "pypi"
+
+[[source]]
+url = "https://download.pytorch.org/whl/rocm6.0/"
+verify_ssl = true
+name = "pytorch"
+
+[dev-packages]
+
+[packages]
+# PyTorch packages
+tensorboard = "~=2.16.2"
+torch = {version = "~=2.3.1", index = "pytorch"}
+torchvision = {version = "~=0.18.1", index = "pytorch"} # https://pytorch.org/get-started/previous-versions/#linux-and-windows-1
+
+# Datascience and useful extensions
+boto3 = "~=1.34.50"
+kafka-python = "~=2.0.2"
+matplotlib = "~=3.8.3"
+numpy = "~=1.26.4"
+pandas = "~=2.2.0"
+plotly = "~=5.20.0"
+scikit-learn = "~=1.4.0"
+scipy = "~=1.12.0"
+skl2onnx = "~=1.16.0"
+onnxconverter-common = "~=1.13.0" # Required for skl2onnx, as upgraded version is not compatible with protobuf
+codeflare-sdk = "~=0.15.1"
+
+# DB connectors
+pymongo = "~=4.6.2"
+psycopg = "~=3.1.18"
+pyodbc = "~=5.1.0"
+mysql-connector-python = "~=8.3.0"
+
+# JupyterLab packages
+odh-elyra = "~=3.16.5"
+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"
+# Base packages
+wheel = "~=0.43.0"
+setuptools = "~=69.2.0"
+
+# conflict between python-lsp-server and following packages
+# due to pycodestyle dependency, pinning this, till we get 
+# a fix from python-lsp-server 
+autopep8 = "~=2.0.4"
+flake8 = "~=7.0.0"
+
+[requires]
+python_version = "3.9"
diff --git a/jupyter/amd/pytorch/ubi9-python-3.9/Pipfile.lock b/jupyter/amd/pytorch/ubi9-python-3.9/Pipfile.lock
new file mode 100644
index 000000000..372e18c1f
--- /dev/null
+++ b/jupyter/amd/pytorch/ubi9-python-3.9/Pipfile.lock
@@ -0,0 +1,4160 @@
+{
+    "_meta": {
+        "hash": {
+            "sha256": "e64546db9962d773ab39d7340e29be30be5cc27c62839bea82343b1dde7b56b2"
+        },
+        "pipfile-spec": 6,
+        "requires": {
+            "python_version": "3.9"
+        },
+        "sources": [
+            {
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+                "sha256:e516dc8baf7b380e6c1c26792610230f37147bb754d6426462ab115a02944385",
+                "sha256:ea65804b5dc88dacd4a40279af0cdadcfe74b3e5b4c897aa0d81cf86927fee78",
+                "sha256:ec61d826d80fc293ed46c9dd26995921e3a82146feacd952ef0757236fc137be",
+                "sha256:ee04010f26d5102399bd17f8df8bc38dc7ccd7701dc77f4a68c5b8d733406958",
+                "sha256:f3bc6af6e2b8f92eced34ef6a96ffb248e863af20ef4fde9448cc8c9b858b749",
+                "sha256:f7d6b36dd2e029b6bcb8a13cf19664c7b8e19ab3a58e0fefbb5b8461447ed5ec"
+            ],
+            "markers": "python_version >= '3.7'",
+            "version": "==1.9.4"
+        },
+        "yaspin": {
+            "hashes": [
+                "sha256:35cae59c682506794a218310445e8326cd8fec410879d1c44953b494b1121e77",
+                "sha256:5c9b6549b84c8aa7f92426272b670e1302941d72f0275caf32d2ea7db3c269f9"
+            ],
+            "markers": "python_version >= '3.9' and python_full_version < '4.0.0'",
+            "version": "==3.0.2"
+        },
+        "ypy-websocket": {
+            "hashes": [
+                "sha256:43a001473f5c8abcf182f603049cf305cbc855ad8deaa9dfa0f3b5a7cea9d0ff",
+                "sha256:b1ba0dfcc9762f0ca168d2378062d3ca1299d39076b0f145d961359121042be5"
+            ],
+            "markers": "python_version >= '3.7'",
+            "version": "==0.8.4"
+        },
+        "zipp": {
+            "hashes": [
+                "sha256:bf1dcf6450f873a13e952a29504887c89e6de7506209e5b1bcc3460135d4de19",
+                "sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c"
+            ],
+            "markers": "python_version < '3.10'",
+            "version": "==3.19.2"
+        }
+    },
+    "develop": {}
+}
diff --git a/jupyter/amd/pytorch/ubi9-python-3.9/kustomize/base/kustomization.yaml b/jupyter/amd/pytorch/ubi9-python-3.9/kustomize/base/kustomization.yaml
new file mode 100644
index 000000000..db71b6d7f
--- /dev/null
+++ b/jupyter/amd/pytorch/ubi9-python-3.9/kustomize/base/kustomization.yaml
@@ -0,0 +1,13 @@
+---
+apiVersion: kustomize.config.k8s.io/v1beta1
+kind: Kustomization
+namePrefix: jupyter-amd-pytorch-ubi9-python-3-9-
+commonLabels:
+  app: jupyter-amd-pytorch-ubi9-python-3-9
+resources:
+  - service.yaml
+  - statefulset.yaml
+images:
+  - name: quay.io/opendatahub/workbench-images
+    newName: quay.io/opendatahub/workbench-images
+    newTag: jupyter-amd-pytorch-ubi9-python-3.9
diff --git a/jupyter/amd/pytorch/ubi9-python-3.9/kustomize/base/service.yaml b/jupyter/amd/pytorch/ubi9-python-3.9/kustomize/base/service.yaml
new file mode 100644
index 000000000..d6f7128e8
--- /dev/null
+++ b/jupyter/amd/pytorch/ubi9-python-3.9/kustomize/base/service.yaml
@@ -0,0 +1,15 @@
+---
+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/amd/pytorch/ubi9-python-3.9/kustomize/base/statefulset.yaml b/jupyter/amd/pytorch/ubi9-python-3.9/kustomize/base/statefulset.yaml
new file mode 100644
index 000000000..a152422f2
--- /dev/null
+++ b/jupyter/amd/pytorch/ubi9-python-3.9/kustomize/base/statefulset.yaml
@@ -0,0 +1,58 @@
+---
+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-amd-pytorch-ubi9-python-3.9
+          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/jupyter/amd/pytorch/ubi9-python-3.9/test/test_notebook.ipynb b/jupyter/amd/pytorch/ubi9-python-3.9/test/test_notebook.ipynb
new file mode 100644
index 000000000..68f62d0a5
--- /dev/null
+++ b/jupyter/amd/pytorch/ubi9-python-3.9/test/test_notebook.ipynb
@@ -0,0 +1,163 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import unittest\n",
+    "import torch\n",
+    "import math\n",
+    "import os\n",
+    "import torchvision.transforms as transforms\n",
+    "from PIL import Image\n",
+    "from torch.utils.tensorboard import SummaryWriter\n",
+    "from platform import python_version\n",
+    "import torchvision.models as models\n",
+    "\n",
+    "class TestPytorchNotebook(unittest.TestCase):\n",
+    "    \n",
+    "    def test_python_version(self):\n",
+    "        expected_major_minor = '3.9'  # Set the expected version (x.y)\n",
+    "        actual_major_minor = '.'.join(python_version().split('.')[:2]) \n",
+    "        self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n",
+    "    \n",
+    "    def test_torch_version(self):\n",
+    "        expected_major_minor = '2.3'  # Set the expected version (x.y)\n",
+    "        actual_major_minor = '.'.join(torch.__version__.split('.')[:2]) \n",
+    "        self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n",
+    "        \n",
+    "    def test_tensor_creation(self):\n",
+    "        # Test tensor creation\n",
+    "        tensor = torch.tensor([1, 2, 3])\n",
+    "        self.assertIsInstance(tensor, torch.Tensor)\n",
+    "        \n",
+    "    def test_tensor_operations(self):\n",
+    "        # Test tensor operations\n",
+    "        a = torch.tensor([1, 2, 3])\n",
+    "        b = torch.tensor([4, 5, 6])\n",
+    "        c = a + b\n",
+    "        self.assertTrue(torch.all(torch.eq(c, torch.tensor([5, 7, 9]))))\n",
+    "        \n",
+    "    def test_tensor_shape(self):\n",
+    "        # Test tensor shape\n",
+    "        tensor = torch.tensor([[1, 2, 3], [4, 5, 6]])\n",
+    "        self.assertEqual(tensor.shape, (2, 3))\n",
+    "        \n",
+    "    def test_polynomial_fitting(self):\n",
+    "        dtype = torch.float\n",
+    "        device = torch.device(\"cpu\")\n",
+    "        # device = torch.device(\"cuda:0\") # Uncomment this to run on GPU\n",
+    "\n",
+    "        # Create random input and output data\n",
+    "        x = torch.linspace(-math.pi, math.pi, 2000, device=device, dtype=dtype)\n",
+    "        y = torch.sin(x)\n",
+    "\n",
+    "        # Randomly initialize weights\n",
+    "        a = torch.randn((), device=device, dtype=dtype)\n",
+    "        b = torch.randn((), device=device, dtype=dtype)\n",
+    "        c = torch.randn((), device=device, dtype=dtype)\n",
+    "        d = torch.randn((), device=device, dtype=dtype)\n",
+    "\n",
+    "        learning_rate = 1e-6\n",
+    "        for t in range(2000):\n",
+    "            # Forward pass: compute predicted y\n",
+    "            y_pred = a + b * x + c * x ** 2 + d * x ** 3\n",
+    "\n",
+    "            # Compute and print loss\n",
+    "            loss = (y_pred - y).pow(2).sum().item()\n",
+    "            if t % 100 == 99:\n",
+    "                print(t, loss)\n",
+    "\n",
+    "            # Backprop to compute gradients of a, b, c, d with respect to loss\n",
+    "            grad_y_pred = 2.0 * (y_pred - y)\n",
+    "            grad_a = grad_y_pred.sum()\n",
+    "            grad_b = (grad_y_pred * x).sum()\n",
+    "            grad_c = (grad_y_pred * x ** 2).sum()\n",
+    "            grad_d = (grad_y_pred * x ** 3).sum()\n",
+    "\n",
+    "            # Update weights using gradient descent\n",
+    "            a -= learning_rate * grad_a\n",
+    "            b -= learning_rate * grad_b\n",
+    "            c -= learning_rate * grad_c\n",
+    "            d -= learning_rate * grad_d\n",
+    "\n",
+    "\n",
+    "        print(f'Result: y = {a.item()} + {b.item()} x + {c.item()} x^2 + {d.item()} x^3')\n",
+    "        \n",
+    "    def test_image_transform(self):\n",
+    "            # Define a sample image\n",
+    "            sample_image = Image.new('RGB', (100, 100), color='red')\n",
+    "\n",
+    "            # Define a transformation pipeline\n",
+    "            transform = transforms.Compose([\n",
+    "                transforms.Resize((64, 64)),\n",
+    "                transforms.ToTensor()\n",
+    "            ])\n",
+    "\n",
+    "            # Apply the transformation\n",
+    "            transformed_image = transform(sample_image)\n",
+    "\n",
+    "            # Check if the transformed image is a PyTorch tensor\n",
+    "            self.assertTrue(isinstance(transformed_image, torch.Tensor))\n",
+    "\n",
+    "            # Check if the transformed image has the correct shape\n",
+    "            self.assertEqual(transformed_image.shape, (3, 64, 64))  # Assuming RGB image\n",
+    "\n",
+    "    def test_tensorboard_integration(self):\n",
+    "            # Define a sample image\n",
+    "            sample_image = Image.new('RGB', (100, 100), color='red')\n",
+    "\n",
+    "            # Define a transformation pipeline\n",
+    "            transform = transforms.Compose([\n",
+    "                transforms.Resize((64, 64)),\n",
+    "                transforms.ToTensor()\n",
+    "            ])\n",
+    "\n",
+    "            # Apply the transformation\n",
+    "            transformed_image = transform(sample_image)\n",
+    "\n",
+    "            # Initialize TensorBoard writer\n",
+    "            writer = SummaryWriter(log_dir=\"./logs\")\n",
+    "\n",
+    "            # Add the transformed image to TensorBoard\n",
+    "            writer.add_image(\"Transformed Image\", transformed_image, global_step=0)\n",
+    "\n",
+    "            # Close the writer\n",
+    "            writer.close()\n",
+    "\n",
+    "            # You can manually check the generated TensorBoard logs to verify the image\n",
+    "\n",
+    "            # Assert that the writer has been successfully created and used\n",
+    "            self.assertTrue(isinstance(writer, SummaryWriter))\n",
+    "            \n",
+    "    def test_convert_to_onnx(self):\n",
+    "        # Load a pre-trained PyTorch model (for example, ResNet-18)\n",
+    "        model = models.resnet18(pretrained=True)\n",
+    "        model.eval()\n",
+    "\n",
+    "        # Create a sample input tensor with the appropriate shape\n",
+    "        input_tensor = torch.randn(1, 3, 224, 224)  # (batch_size, channels, height, width)\n",
+    "\n",
+    "        # Export the model to ONNX format\n",
+    "        onnx_path = \"resnet18.onnx\"\n",
+    "        torch.onnx.export(model, input_tensor, onnx_path, verbose=True)\n",
+    "\n",
+    "        # Check if the ONNX file exists\n",
+    "        self.assertTrue(os.path.exists(onnx_path), f\"ONNX file {onnx_path} not found\")\n",
+    "        \n",
+    "suite = unittest.TestLoader().loadTestsFromTestCase(TestPytorchNotebook)\n",
+    "unittest.TextTestRunner().run(suite)"
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  },
+  "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/jupyter/amd/tensorflow/ubi9-python-3.9/Dockerfile b/jupyter/amd/tensorflow/ubi9-python-3.9/Dockerfile
new file mode 100644
index 000000000..151fc468f
--- /dev/null
+++ b/jupyter/amd/tensorflow/ubi9-python-3.9/Dockerfile
@@ -0,0 +1,27 @@
+ARG BASE_IMAGE
+FROM ${BASE_IMAGE}
+
+LABEL name="odh-notebook-jupyter-amd-tensorflow-ubi9-python-3.9" \
+    summary="Jupyter AMD tensorflow notebook image for ODH notebooks" \
+    description="Jupyter AMD tensorflow notebook image with base Python 3.9 builder image based on UBI9 for ODH notebooks" \
+    io.k8s.display-name="Jupyter AMD tensorflow notebook image for ODH notebooks" \
+    io.k8s.description="Jupyter AMD tensorflow notebook image with base Python 3.9 builder image based on UBI9 for ODH notebooks" \
+    authoritative-source-url="https://github.com/opendatahub-io/notebooks" \
+    io.openshift.build.commit.ref="main" \
+    io.openshift.build.source-location="https://github.com/opendatahub-io/notebooks/tree/main/jupyter/amd/tensorflow/ubi9-python-3.9" \
+    io.openshift.build.image="quay.io/opendatahub/workbench-images:jupyter-amd-tensorflow-ubi9-python-3.9"
+
+# Install Python packages and Jupyterlab extensions from Pipfile.lock
+COPY Pipfile.lock ./
+
+RUN echo "Installing softwares and packages" && micropipenv install && rm -f ./Pipfile.lock
+
+# Replace Notebook's launcher, "(ipykernel)" with Python's version 3.x.y
+RUN sed -i -e "s/Python.*/$(python --version | cut -d '.' -f-2)\",/" /opt/app-root/share/jupyter/kernels/python3/kernel.json
+
+# Disable announcement plugin of jupyterlab
+RUN jupyter labextension disable "@jupyterlab/apputils-extension:announcements"
+
+# Fix permissions to support pip in Openshift environments
+RUN chmod -R g+w /opt/app-root/lib/python3.9/site-packages && \
+    fix-permissions /opt/app-root -P
diff --git a/jupyter/amd/tensorflow/ubi9-python-3.9/Pipfile b/jupyter/amd/tensorflow/ubi9-python-3.9/Pipfile
new file mode 100644
index 000000000..05c6a06b2
--- /dev/null
+++ b/jupyter/amd/tensorflow/ubi9-python-3.9/Pipfile
@@ -0,0 +1,67 @@
+[[source]]
+url = "https://pypi.org/simple"
+verify_ssl = true
+name = "pypi"
+
+[[source]]
+url = "https://repo.radeon.com/rocm/manylinux/rocm-rel-6.1/"
+verify_ssl = true
+name = "tensorflow"
+
+[dev-packages]
+
+[packages]
+# TensorFlow packages
+tensorflow = {version = "~=2.15.0", index = "tensorflow"}
+tensorboard = {version = "~=2.15.2", index = "tensorflow"}
+tf2onnx = "~= 1.16.1"
+
+
+# Datascience and useful extensions
+boto3 = "~=1.34.50"
+kafka-python = "~=2.0.2"
+matplotlib = "~=3.8.3"
+numpy = "~=1.26.4"
+pandas = "~=2.2.0"
+plotly = "~=5.20.0"
+scikit-learn = "~=1.4.0"
+scipy = "~=1.12.0"
+skl2onnx = "~=1.16.0"
+onnxconverter-common = "~=1.13.0" # Required for skl2onnx, as upgraded version is not compatible with protobuf
+codeflare-sdk = "~=0.15.0"
+
+# DB connectors
+pymongo = "~=4.6.2"
+psycopg = "~=3.1.18"
+pyodbc = "~=5.1.0"
+mysql-connector-python = "~=8.3.0"
+
+# JupyterLab packages
+odh-elyra = "~=3.16.5"
+kfp = "~=2.5.0"
+kfp-kubernetes = "~=1.0.0"
+
+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"
+
+# conflict between python-lsp-server and following packages
+# due to pycodestyle dependency, pinning this, till we get 
+# a fix from python-lsp-server 
+autopep8 = "~=2.0.4"
+flake8 = "~=7.0.0"
+
+# Base packages
+wheel = "~=0.43.0"
+setuptools = "~=69.2.0"
+
+[requires]
+python_version = "3.9"
diff --git a/jupyter/amd/tensorflow/ubi9-python-3.9/Pipfile.lock b/jupyter/amd/tensorflow/ubi9-python-3.9/Pipfile.lock
new file mode 100644
index 000000000..3c72eb4bf
--- /dev/null
+++ b/jupyter/amd/tensorflow/ubi9-python-3.9/Pipfile.lock
@@ -0,0 +1,4302 @@
+{
+    "_meta": {
+        "hash": {
+            "sha256": "9367ce675665115e4f7081693e0d29af38d43ace10d7418988e3c13045cf10a3"
+        },
+        "pipfile-spec": 6,
+        "requires": {
+            "python_version": "3.9"
+        },
+        "sources": [
+            {
+                "name": "pypi",
+                "url": "https://pypi.org/simple",
+                "verify_ssl": true
+            },
+            {
+                "name": "tensorflow",
+                "url": "https://repo.radeon.com/rocm/manylinux/rocm-rel-6.1/",
+                "verify_ssl": true
+            }
+        ]
+    },
+    "default": {
+        "absl-py": {
+            "hashes": [
+                "sha256:526a04eadab8b4ee719ce68f204172ead1027549089702d99b9059f129ff1308",
+                "sha256:7820790efbb316739cde8b4e19357243fc3608a152024288513dd968d7d959ff"
+            ],
+            "markers": "python_version >= '3.7'",
+            "version": "==2.1.0"
+        },
+        "aiofiles": {
+            "hashes": [
+                "sha256:1142fa8e80dbae46bb6339573ad4c8c0841358f79c6eb50a493dceca14621bad",
+                "sha256:9107f1ca0b2a5553987a94a3c9959fe5b491fdf731389aa5b7b1bd0733e32de6"
+            ],
+            "markers": "python_version >= '3.7' and python_version < '4.0'",
+            "version": "==22.1.0"
+        },
+        "aiohttp": {
+            "hashes": [
+                "sha256:0605cc2c0088fcaae79f01c913a38611ad09ba68ff482402d3410bf59039bfb8",
+                "sha256:0a158704edf0abcac8ac371fbb54044f3270bdbc93e254a82b6c82be1ef08f3c",
+                "sha256:0cbf56238f4bbf49dab8c2dc2e6b1b68502b1e88d335bea59b3f5b9f4c001475",
+                "sha256:1732102949ff6087589408d76cd6dea656b93c896b011ecafff418c9661dc4ed",
+                "sha256:18f634d540dd099c262e9f887c8bbacc959847cfe5da7a0e2e1cf3f14dbf2daf",
+                "sha256:239f975589a944eeb1bad26b8b140a59a3a320067fb3cd10b75c3092405a1372",
+                "sha256:2faa61a904b83142747fc6a6d7ad8fccff898c849123030f8e75d5d967fd4a81",
+                "sha256:320e8618eda64e19d11bdb3bd04ccc0a816c17eaecb7e4945d01deee2a22f95f",
+                "sha256:38d80498e2e169bc61418ff36170e0aad0cd268da8b38a17c4cf29d254a8b3f1",
+                "sha256:3916c8692dbd9d55c523374a3b8213e628424d19116ac4308e434dbf6d95bbdd",
+                "sha256:393c7aba2b55559ef7ab791c94b44f7482a07bf7640d17b341b79081f5e5cd1a",
+                "sha256:3b7b30258348082826d274504fbc7c849959f1989d86c29bc355107accec6cfb",
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+            "version": "==1.9.4"
+        },
+        "yaspin": {
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+            "version": "==3.0.2"
+        },
+        "ypy-websocket": {
+            "hashes": [
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+            ],
+            "markers": "python_version >= '3.7'",
+            "version": "==0.8.4"
+        },
+        "zipp": {
+            "hashes": [
+                "sha256:bf1dcf6450f873a13e952a29504887c89e6de7506209e5b1bcc3460135d4de19",
+                "sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c"
+            ],
+            "markers": "python_version < '3.10'",
+            "version": "==3.19.2"
+        }
+    },
+    "develop": {}
+}
diff --git a/jupyter/amd/tensorflow/ubi9-python-3.9/kustomize/base/kustomization.yaml b/jupyter/amd/tensorflow/ubi9-python-3.9/kustomize/base/kustomization.yaml
new file mode 100644
index 000000000..f822101c2
--- /dev/null
+++ b/jupyter/amd/tensorflow/ubi9-python-3.9/kustomize/base/kustomization.yaml
@@ -0,0 +1,13 @@
+---
+apiVersion: kustomize.config.k8s.io/v1beta1
+kind: Kustomization
+namePrefix: jupyter-amd-tensorflow-ubi9-python-3-9-
+commonLabels:
+  app: jupyter-amd-tensorflow-ubi9-python-3-9
+resources:
+  - service.yaml
+  - statefulset.yaml
+images:
+  - name: quay.io/opendatahub/workbench-images
+    newName: quay.io/opendatahub/workbench-images
+    newTag: jupyter-amdtensorflow-ubi9-python-3.9
diff --git a/jupyter/amd/tensorflow/ubi9-python-3.9/kustomize/base/service.yaml b/jupyter/amd/tensorflow/ubi9-python-3.9/kustomize/base/service.yaml
new file mode 100644
index 000000000..d6f7128e8
--- /dev/null
+++ b/jupyter/amd/tensorflow/ubi9-python-3.9/kustomize/base/service.yaml
@@ -0,0 +1,15 @@
+---
+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/amd/tensorflow/ubi9-python-3.9/kustomize/base/statefulset.yaml b/jupyter/amd/tensorflow/ubi9-python-3.9/kustomize/base/statefulset.yaml
new file mode 100644
index 000000000..3c3b0c4e4
--- /dev/null
+++ b/jupyter/amd/tensorflow/ubi9-python-3.9/kustomize/base/statefulset.yaml
@@ -0,0 +1,58 @@
+---
+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-amd-tensorflow-ubi9-python-3.9
+          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/jupyter/amd/tensorflow/ubi9-python-3.9/test/test_notebook.ipynb b/jupyter/amd/tensorflow/ubi9-python-3.9/test/test_notebook.ipynb
new file mode 100644
index 000000000..47f231916
--- /dev/null
+++ b/jupyter/amd/tensorflow/ubi9-python-3.9/test/test_notebook.ipynb
@@ -0,0 +1,89 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import unittest\n",
+    "import tensorflow as tf\n",
+    "import tensorboard\n",
+    "import tf2onnx\n",
+    "from platform import python_version\n",
+    "\n",
+    "class TestTensorflowNotebook(unittest.TestCase):\n",
+    "    \n",
+    "    def test_python_version(self):\n",
+    "        expected_major_minor = '3.9'  # Set the expected version (x.y)\n",
+    "        actual_major_minor = '.'.join(python_version().split('.')[:2]) \n",
+    "        self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n",
+    "    \n",
+    "    def test_tensorflow_version(self):\n",
+    "        expected_major_minor = '2.15'  # Set the expected version (x.y)\n",
+    "        actual_major_minor = '.'.join(tf.__version__.split('.')[:2]) \n",
+    "        self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n",
+    "        \n",
+    "    def test_tf2onnx_conversion(self):\n",
+    "        # Replace this with an actual TensorFlow model conversion using tf2onnx\n",
+    "        model = tf.keras.Sequential([tf.keras.layers.Dense(1, input_shape=(10,))])\n",
+    "        onnx_model = tf2onnx.convert.from_keras(model)\n",
+    "        \n",
+    "        self.assertTrue(onnx_model is not None)\n",
+    "\n",
+    "    def test_mnist_model(self):\n",
+    "        # A basic test from the official tensorflow webpage https://www.tensorflow.org/tutorials/quickstart/beginner\n",
+    "        mnist = tf.keras.datasets.mnist\n",
+    "        (x_train, y_train), (x_test, y_test) = mnist.load_data()\n",
+    "        x_train, x_test = x_train / 255.0, x_test / 255.0\n",
+    "        model = tf.keras.models.Sequential([\n",
+    "          tf.keras.layers.Flatten(input_shape=(28, 28)),\n",
+    "          tf.keras.layers.Dense(128, activation='relu'),\n",
+    "          tf.keras.layers.Dropout(0.2),\n",
+    "          tf.keras.layers.Dense(10)\n",
+    "        ])\n",
+    "        predictions = model(x_train[:1]).numpy()\n",
+    "        predictions\n",
+    "        tf.nn.softmax(predictions).numpy()\n",
+    "        loss_fn = tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True)\n",
+    "        loss_fn(y_train[:1], predictions).numpy()\n",
+    "        model.compile(optimizer='adam', loss=loss_fn, metrics=['accuracy'])\n",
+    "        model.fit(x_train, y_train, epochs=5)\n",
+    "        model.evaluate(x_test,  y_test, verbose=2)\n",
+    "        probability_model = tf.keras.Sequential([\n",
+    "          model,\n",
+    "          tf.keras.layers.Softmax()\n",
+    "        ])\n",
+    "        probability_model(x_test[:5])\n",
+    "\n",
+    "    def test_tensorboard(self):\n",
+    "        # Create a simple model\n",
+    "        model = tf.keras.Sequential([\n",
+    "            tf.keras.layers.Dense(10, input_shape=(5,), activation='relu'),\n",
+    "            tf.keras.layers.Dense(1)\n",
+    "        ])\n",
+    "        # Compile the model\n",
+    "        model.compile(optimizer='adam', loss='mse')\n",
+    "        # Generate some example data\n",
+    "        x_train = tf.random.normal((100, 5))\n",
+    "        y_train = tf.random.normal((100, 1))\n",
+    "        # Create a TensorBoard callback\n",
+    "        log_dir = './logs'\n",
+    "        tensorboard_callback = tf.keras.callbacks.TensorBoard(log_dir=log_dir)\n",
+    "        # Train the model\n",
+    "        model.fit(x_train, y_train, epochs=2, callbacks=[tensorboard_callback])\n",
+    "        \n",
+    "suite = unittest.TestLoader().loadTestsFromTestCase(TestTensorflowNotebook)\n",
+    "unittest.TextTestRunner().run(suite)\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  },
+  "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}