Ideas for a non intrusive gradient descent optimizer

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Say you have some nodes in a subnet, and a target geometry

Without doing any modifications to the subnet, i.e non intrusively, how can you get a set of values for each parameter of each node in the subnet, or of only a subset of the parameters / nodes, that minimizes the distance to the target.

Does it sound like a good task for APEX, Attributes from Parameters, Invoke Compiled Graph, and a bit of metaprogramming to handle the computation graph from AFP ?
Edited by alecaille - 2026年7月17日 06:27:14
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