transfer-tune option tries only one-round for each task about tenset

[merrymercy]

@ruochen99

[ruochen99]

Thank you for bringing up this issue! Transfer learning is not a complete feature in our model yet. The purpose of the --transfer-tune option is mostly to test how useful transfer learning is in terms of improving the cost model. We have only tested the effect of transfer learning on a small number of trials so we ignored the later parts of this procedure. A quick fix to your problem could be changing this line

self.num_measures_per_round = min(tune_option.num_measures_per_round, num_measure_trials // len(self.tasks))

into

self.num_measures_per_round = num_measure_trials // len(self.tasks)

After this modification, the algorithm will collect measurement data on the first half of tasks, train a local model, and use it on the second half of tasks. However, I'm also uncertain about how well transfer learning would perform on a large number of trials.