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		| @@ -223,20 +223,6 @@ def main(): | ||||
|                 else: | ||||
|                     #score =  score_loop(network, None, train_queue, args.gpu, None, args.proj_crit) | ||||
|                     network.requires_feature = False | ||||
|  | ||||
|                     if args.proj_crit == 'comb': | ||||
|                         synflow = predictive.find_measures(network, | ||||
|                                                            train_queue, | ||||
|                                                            ('random', 1, n_classes), | ||||
|                                                            torch.device("cuda"), | ||||
|                                                            measure_names=['synflow']) | ||||
|                         var = predictive.find_measures(network, | ||||
|                                                        train_queue, | ||||
|                                                        ('random', 1, n_classes), | ||||
|                                                        torch.device("cuda"), | ||||
|                                                        measure_names=['var']) | ||||
|                         comb = np.log(synflow['synflow'] + 1) / (var['var'] + 0.1) | ||||
|                         measures = {'comb': comb} | ||||
|                     else: | ||||
|                         measures = predictive.find_measures(network, | ||||
|                                                             train_queue, | ||||
|   | ||||
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