Please help understand what are the meaningful/significant differences among different ways to create kubeflow pipeline components and the reason for having so many ways?
from kfp.components import func_to_container_op@func_to_container_opdef add_op(a: float, b: float) -> float:"""Returns sum of two arguments"""return a + bfrom kfp.v2.dsl import component@componentdef add_op(a: float, b: float) -> float:"""Returns sum of two arguments"""return a + bfrom kfp.components import create_component_from_func@create_component_from_funcdef add_op(a: float, b: float) -> float:"""Returns sum of two arguments"""return a + bBest Answer
Great question! And I fully agree that KFP in the past has often offered multiple ways to do similar or even same tasks, which causes lots of user confusion.
In KFP SDK 2.0 (currently at beta stage with latest being 2.0.0b5), both func_to_container_op and create_component_from_func are deprecated.
The only option to create a component from a Python function without building a container image is to use @component. For more information, see https://www.kubeflow.org/docs/components/pipelines/v2/author-a-pipeline/components/