Running into problems during DataflowPartitioning

[Adityasrinivas24]

Hi, I'm following the cnv_end2end example for my custom defined Neural Network. I streamlined the model as shown in the example and tried using CreateDataflowPartition() but ran into AssertionError: cycle-free graph violated: partition depends on itself.

I went through a couple of older issues but they didn't fix my problem. Is there a standard flow that i can use to perform the transformations? How do i figure out problems in netron or other utility?
Ive also attached the network visualised in netron after streamlining. Any help will be appreciated .

Thank you

[Arbiter-glitch]

I have never dealt with a model with Maxpool. However, the transpose nodes should be absorbed into the multithreshold. Also, the repeated Multithreshold nodes can be collapsed into a single node. Check this link and refer the transformations there it might help you.

[Adityasrinivas24]

Thank you for the reply. I'll look into the docs again. I think the Maxpool layers are causing the partitioning problem. I'll try to find alternatives.
Thanks again