def reset_default_params(args): # -set default-values for certain arguments based on chosen scenario & experiment args = set_default_values(args) # -set other default arguments args.lr_gen = args.lr if args.lr_gen is None else args.lr_gen args.g_iters = args.iters if args.g_iters is None else args.g_iters args.g_fc_lay = args.fc_lay if args.g_fc_lay is None else args.g_fc_lay args.g_fc_uni = args.fc_units if args.g_fc_uni is None else args.g_fc_uni # Add non-optional input argument that will be the same for all runs args.metrics = True args.feedback = False args.log_per_task = True # Add input arguments that will be different for different runs args.distill = False args.agem = False args.ewc = False args.online = False args.si = False args.xdg = False args.add_exemplars = False args.bce_distill = False args.icarl = False args.mem_online = False
precision_dict["all_tasks"], x_axes=precision_dict["x_task"], line_names=['task {}'.format(i + 1) for i in range(args.tasks)]) figure_list.append(figure) figure = visual_plt.plot_lines([precision_dict["average"]], x_axes=precision_dict["x_task"], line_names=['average all tasks so far']) figure_list.append(figure) if args.use_exemplars: figure = visual_plt.plot_lines( precision_dict_exemplars["all_tasks"], x_axes=precision_dict_exemplars["x_task"], line_names=[ 'task {}'.format(i + 1) for i in range(args.tasks) ]) figure_list.append(figure) # -add figures to pdf (and close this pdf). for figure in figure_list: pp.savefig(figure) # -close pdf pp.close() if __name__ == '__main__': # -load input-arguments args = parser.parse_args() # -set default-values for certain arguments based on chosen scenario & experiment args = set_default_values(args) # -run experiment run(args)
if name is not None: print("\n------{}------".format(name)) # -run method for all random seeds for seed in seed_list: args.seed = seed method_dict[seed] = get_prec(args) # -return updated dictionary with results return method_dict if __name__ == '__main__': ## Load input-arguments args = parser.parse_args() # -set default-values for certain arguments based on chosen scenario & experiment args = set_default_values(args, also_hyper_params=False) # -set other default arguments args.lr_gen = args.lr if args.lr_gen is None else args.lr_gen args.g_iters = args.iters if args.g_iters is None else args.g_iters args.g_fc_lay = args.fc_lay if args.g_fc_lay is None else args.g_fc_lay args.g_fc_uni = args.fc_units if args.g_fc_uni is None else args.g_fc_uni # -create results-directory if needed if not os.path.isdir(args.r_dir): os.mkdir(args.r_dir) # -create plots-directory if needed if not os.path.isdir(args.p_dir): os.mkdir(args.p_dir) ## Select correct memory budget list budget_list = budget_list_permMNIST if args.experiment == "permMNIST" else budget_list_splitMNIST