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.. <DESCRIBE THE FULL PROCEDURES FOR THE INSTALLATION OF THE O-RAN COMPONENT INSTALLATION AND DEPLOYMENT>
-For stable l-release user can run following commands
+For stable m-release user can run following commands
.. code:: bash
- git clone -b l-release "https://gerrit.o-ran-sc.org/r/aiml-fw/aimlfw-dep" # latest release branch is l-release
+ git clone -b m-release "https://gerrit.o-ran-sc.org/r/aiml-fw/aimlfw-dep" # latest release branch is m-release
cd aimlfw-dep
-Any failure in l-release are tracked here 'https://lf-o-ran-sc.atlassian.net/browse/AIMLFW-286'
+Any failure in m-release are tracked here 'https://lf-o-ran-sc.atlassian.net/browse/AIMLFW-286'
Update recipe file :file:`RECIPE_EXAMPLE/example_recipe_latest_stable.yaml` which includes update of VM IP and datalake details.
Ensure image version is correct.
# Install AIMLFW
bin/install_traininghost.sh RECIPE_EXAMPLE/example_recipe_nexus_images_staging.yaml
-**Note**: For l-release use default RECIPE_FILE , that is RECIPE_EXAMPLE/example_recipe_latest_stable.yaml.In case you want to use master branch(not stable) for checking new updates use RECIPE_EXAMPLE/example_recipe_nexus_images_staging.yaml as RECIPE_FILE.
+**Note**: For m-release use default RECIPE_FILE , that is RECIPE_EXAMPLE/example_recipe_latest_stable.yaml.In case you want to use master branch(not stable) for checking new updates use RECIPE_EXAMPLE/example_recipe_nexus_images_staging.yaml as RECIPE_FILE.
Check running state of all pods and services using below command :
.. code:: bash
Details are provided in further section for each operation required for model training.**
+Troubleshooting
+---------------------------------
+
+1. ImagePullBackOff Issue
+^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+If, after installation, some pods enter the ``ImagePullBackOff`` state (for example):
+
+.. code:: bash
+
+ kubeflow ml-pipeline-ui-75d9df4ddb-5jvrb 0/1 ImagePullBackOff 0 22h
+
+This typically indicates that the required container images could not be pulled automatically.
+To resolve this issue, **manually pull and retag** the required images using the following commands:
+
+.. code:: bash
+
+ sudo nerdctl pull gcriomlpipeline/frontend:2.3.0 --namespace k8s.io
+ sudo nerdctl tag gcriomlpipeline/frontend:2.3.0 gcr.io/ml-pipeline/frontend:2.3.0 --namespace k8s.io
+ sudo nerdctl pull gcriomlpipeline/argoexec:v3.4.17-license-compliance --namespace k8s.io
+ sudo nerdctl tag gcriomlpipeline/argoexec:v3.4.17-license-compliance gcr.io/ml-pipeline/argoexec:v3.4.17-license-compliance --namespace k8s.io
+
+
Software Uninstallation & Upgrade
---------------------------------