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
