Comments (2)
Hi @auroua
Yes, this is correct. The DARTS paper describes the cell as having two input nodes, and four intermediate nodes. Additionally, there is a final output node which concatenates the output of all intermediate nodes. (This is different for the NASBench-101 paper.)
The blueprint for a cell in the original DARTS code has the variables for the nodes and edges of the four intermediate nodes. But when they build the neural architecture, the final edges to the extra output node are added in.
Therefore, to enumerate all the paths, we include all paths that terminate at an intermediate node.
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Hi @crwhite14
I get it. I originally thought that only nodes that were not used as input to other nodes would be connected to output nodes.
Thanks for your reply.
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