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		| @@ -96,12 +96,11 @@ def project_op(model, input, target, args, cell_type, proj_queue=None, selected_ | ||||
|  | ||||
|             model.candidate_flags[cell_type][selected_eid] = False | ||||
|             # print(model.get_projected_weights()) | ||||
|             else: | ||||
|                 measures = predictive.find_measures(model, | ||||
|                                                     proj_queue, | ||||
|                                                     ('random', 1, n_classes), | ||||
|                                                     torch.device("cuda"), | ||||
|                                                     measure_names=[proj_crit]) | ||||
|             measures = predictive.find_measures(model, | ||||
|                                                 proj_queue, | ||||
|                                                 ('random', 1, n_classes), | ||||
|                                                 torch.device("cuda"), | ||||
|                                                 measure_names=[proj_crit]) | ||||
|  | ||||
|             # print(measures) | ||||
|             for idx in range(num_ops): | ||||
|   | ||||
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