I think this should be a valid use of pipelines. for example - at some step I choose to sweep across several values of some parameter and the rest of the steps are duplicated for each value of that parameter.
The additional edges in the graph suggest that these steps somehow contain dependencies that I do not wish them to have.

(I see the same thing in some evaluation code that I've written so I thought I'd reproduce it in the standard example)

PanickyMoth78 thank you for the mock code, I can verify it reproduces the issue. It seem that for some reason (bug) when the same function is called multiple times it "collects" parents, hence the odd graph,
BTW: if you want to see exactly what is passed to the step you can press on the step's full_details, and see the hyperparameter section.
I'll make sure we fix this bug in the next RC.

feature request: tell me what gets passed along each edge of the pipeline graph

Nice! please feel free to add to GH issue 🙂
Hmm yes that is odd, let me see if I can reproduce

Sure. It is a minor change from the code in the clearml examples for pipelines.
I just repeat the last two pipeline steps from that code in a loop (x3)
https://github.com/allegroai/clearml/blob/master/examples/pipeline/pipeline_from_decorator.py

The additional edges in the graph suggest that these steps somehow contain dependencies that I do not wish them to have.

PanickyMoth78 I think I understand what you are saying, but it is hard to see if there is a "bug" here or a feature...
Can you post the full code of the pipline?

I imagine that these phantom dependencies will prevent parallelization. Is there a workaround?

yes, they might... workaround might be a bit ugly but copy pasting the functions and changing the name
BTW: I'll check when is the next RC scheduled for, maybe it will already contain a fix 🤞

I imagine that these phantom dependencies will prevent parallelization. Is there a workaround?

feature request: tell me what gets passed along each edge of the pipeline graph