1. CD into a directory where pipelines will be stored, e.g.

mkdir -p ~/.clara/pipelines
cd ~/.clara/pipelines

2. Use clara pull pipeline to download a pipeline definition:

clara pull pipeline clara_ai_vnet_pipeline

3. Unzip test data - if test data is bundled with the pipeline, run:

unzip app_vnet-input_v1.zip -d input

4. Unzip and Install model - if the model is bundled with the pipeline, run:

sudo unzip app_vnet-model_v1.zip -d /clara/common/models/

5. Workaround for 0.5.0-preview-1 release - pipeline definitions in the 0.5.0-preview-1 release does not contain full path to nvcr.io and does not include default pull secret. Edit the pipeline definition file and add the following after

name:
pull-secrets:
  - ngc-clara

Find and prepend all image tags that start with clara/ with nvcr.io/nvstaging/

For example, change

name: my-pipeline
operators:
  - name: clara-hqs
    container:
      image: clara/clara-hqs

To:

name: my-pipeline
pull-secrets:
  - ngc-clara
operators:
  - name: clara-hqs
    container:
      image: nvcr.io/nvidia/clara/clara-hqs

6. Install pipeline:

clara create pipelines -p ct-vnetseg.yaml

7. Verify that the pipeline is correctly stored

clara list pipelines

8. Verify that the stored pipeline is correct by examining the output of the following command:

kubectl describe pipeline <pipeline ID>