How to pass arguments when creating kubeflow pipeline yaml file?

Environment

• minikube latest (kubernets 1.21.14)
• kustomize 3.2.0
• kubectl 1.21.14
• kubeflow/manifests v1.6-branch
• KFP version 1.8.13

I want to create kubeflow pipelines file to run pipeline on GKE.
I created the pipeline according to Getting started building a pipeline.
I cannot get kubeflow pipeline yaml file by following method.

kfp.compiler.Compiler().compile(
    pipeline_func=my_pipeline,
    package_path='pipeline.yaml',
    pipeline_parameters={'url': 'https://storage.googleapis.com/ml-pipeline-playground/iris-csv-files.tar.gz'})

I got TypeError: compile() got an unexpected keyword argument 'pipeline_parameters'
From this implementation, I should be able to use pipeline_parameters argument for kfp.compiler.Compiler().compile.

Reference

• Getting started building a pipeline

• kfp.compiler package

• Option 1: Compile and then upload in UI

If you want to pass default pipeline parameters for your pipeline. You can do it directly in the function definition of the pipeline like this:

@dsl.pipeline(name='name')
def my_pipeline(a=1, b='default value'):
  # pipeline code
  pass

For a minimal example of a full pipeline, you can take a look at this. From my experience working with Kubeflow, a lot of the documentation are wrong or not up-to-date. Many times, you have to find a workaround.