Hi @<1603198163143888896:profile|LonelyKangaroo55> , I don't believe this is supported.
@PipelineDecorator.pipeline(name="Sub Pipeline",project="Pipelines",version="1.0",multi_instance_support="parallel",)def sub_pipeline(parameter):print(f"Running sub-pipeline with parameter={parameter}")return parameter * 2
@PipelineDecorator.pipeline(name="Main Pipeline",project="Pipelines",version="1.0",)def main_pipeline():refs = []for p in [1, 2, 3]:ref = sub_pipeline(parameter=p)refs.append(ref)
PipelineDecorator.wait_for_multi_pipelines()# Aggregate results from all sub-pipelines