AgitatedDove14 CostlyOstrich36 [FYI] I’m not sure if this is an optimization issue in ClearML or my computer’s issue but when I make the pipeline a tri-partite graph (add another parent layer) the DAG becomes weird (I think because of the lag) and the web app lags so much until I delete this pipeline in the web app a (I can’t interact will any nodes in the graph and switching between tasks takes a long time)

For some reason my code results in one node even though I think the logic above should result in a bipartite graph

CostlyOstrich36 The commented section is the 3 layer part which I am not currently using due to the lag
` # def update_datasets(dataset_projects, parents, is_ppg=False):

current_steps = []

for dataset_project in dataset_projects:

dataset_project_split = dataset_project.split('-')

campaign_num = dataset_project_split[2]

parameters = {

'Args/XXX': args.XXX_template.replace('*', campaign_num),

'Args/XXX': args.XXX_template....

Here is my log after task execution
**Deleted**

AgitatedDove14 Thx for the clear explanation!

CostlyOstrich36 This resulted in a bipartite graph that I expected but why? 😕

Thx so much 👍

Thx for your response Martin.