Submitted by gahaalt t3_ypkfwq in MachineLearning
gahaalt OP t1_ivk3tvj wrote
Reply to comment by violentdeli8 in Pytorch Symbolic: an equivalent of Keras Functional API [Project] by gahaalt
Yeah! You have a lot of flexibility to do NAS here. You can create a huge graph of layers and sample a smaller path from it to create a Symbolic Model. One non-standard thing you need to do to pull it off is to modify ._children
attribute of Symbolic Data when you want to rewire the connections in this graph.
I might add an example for a simple NAS soon.
violentdeli8 t1_ivk4uel wrote
In https://arxiv.org/pdf/2203.02094.pdf figure 2 describes a GPT architecture configuration search space. Can one compile samples from this search space easily in Symbolic?
violentdeli8 t1_ivk53vn wrote
A very simple NAS example using perhaps one of the tabular benchmarks like 201 will be very useful illustration. Thanks!!
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