def handle_inputs():
# Set indicator-dictionary for correctly retrieving / checking input options
kwargs = {
'single_task': False,
'only_MNIST': False,
'generative': True,
'compare_code': 'none'
}
# Define input options
parser = options.define_args(
filename="main_cl",
description='Compare & combine continual learning approaches.')
parser = options.add_general_options(parser, **kwargs)
parser = options.add_eval_options(parser, **kwargs)
parser = options.add_task_options(parser, **kwargs)
parser = options.add_model_options(parser, **kwargs)
parser = options.add_train_options(parser, **kwargs)
parser = options.add_replay_options(parser, **kwargs)
parser = options.add_bir_options(parser, **kwargs)
parser = options.add_allocation_options(parser, **kwargs)
# Parse, process (i.e., set defaults for unselected options) and check chosen options
args = parser.parse_args()
options.set_defaults(args, **kwargs)
options.check_for_errors(args, **kwargs)
return args
def handle_inputs():
# Set indicator-dictionary for correctly retrieving / checking input options
kwargs = {
'single_task': False,
'only_MNIST': True,
'generative': True,
'compare_code': 'all'
}
# Define input options
parser = options.define_args(
filename="_compare_permMNIST100",
description=
'Compare performance of "continual learning strategies" on long instance '
'of standard version (i.e., Domain-IL) of permMNIST (100 tasks).')
parser = options.add_general_options(parser, **kwargs)
parser = options.add_eval_options(parser, **kwargs)
parser = options.add_permutedMNIST_task_options(parser, **kwargs)
parser = options.add_model_options(parser, **kwargs)
parser = options.add_train_options(parser, **kwargs)
parser = options.add_replay_options(parser, **kwargs)
parser = options.add_bir_options(parser, **kwargs)
parser = options.add_allocation_options(parser, **kwargs)
# Parse and process (i.e., set defaults for unselected options) options
args = parser.parse_args()
args.scenario = "domain"
args.experiment = "permMNIST"
options.set_defaults(args, **kwargs)
return args
def handle_inputs():
# Set indicator-dictionary for correctly retrieving / checking input options
kwargs = {
'single_task': False,
'only_MNIST': True,
'generative': True,
'compare_code': 'bir'
}
# Define input options
parser = options.define_args(
filename="_compare_CIFAR100_bir",
description='Compare different components of BI-R on permuted MNIST.')
parser = options.add_general_options(parser, **kwargs)
parser = options.add_eval_options(parser, **kwargs)
parser = options.add_permutedMNIST_task_options(parser, **kwargs)
parser = options.add_model_options(parser, **kwargs)
parser = options.add_train_options(parser, **kwargs)
parser = options.add_replay_options(parser, **kwargs)
parser = options.add_bir_options(parser, **kwargs)
# Parse and process (i.e., set defaults for unselected options) options
args = parser.parse_args()
args.scenario = "domain"
args.experiment = "permMNIST"
options.set_defaults(args, **kwargs)
return args
def handle_inputs():
# Set indicator-dictionary for correctly retrieving / checking input options
kwargs = {
'single_task': False,
'only_MNIST': False,
'generative': True,
'compare_code': 'all'
}
# Define input options
parser = options.define_args(
filename="_compare_CIFAR100",
description=
'Compare performance of continual learning strategies on different '
'scenarios of split CIFAR-100.')
parser = options.add_general_options(parser, **kwargs)
parser = options.add_eval_options(parser, **kwargs)
parser = options.add_task_options(parser, **kwargs)
parser = options.add_model_options(parser, **kwargs)
parser = options.add_train_options(parser, **kwargs)
parser = options.add_replay_options(parser, **kwargs)
parser = options.add_bir_options(parser, **kwargs)
parser = options.add_allocation_options(parser, **kwargs)
# Parse and process (i.e., set defaults for unselected options) options
args = parser.parse_args()
options.set_defaults(args, **kwargs)
return args
def handle_inputs():
# Set indicator-dictionary for correctly retrieving / checking input options
kwargs = {
'single_task': False,
'only_MNIST': False,
'generative': True,
'compare_code': 'hyper'
}
# Define input options
parser = options.define_args(
filename="_compare_CIFAR100_hyperParams",
description='Compare hyperparameters fo split CIFAR-100.')
parser = options.add_general_options(parser, **kwargs)
parser = options.add_eval_options(parser, **kwargs)
parser = options.add_task_options(parser, **kwargs)
parser = options.add_model_options(parser, **kwargs)
parser = options.add_train_options(parser, **kwargs)
parser = options.add_allocation_options(parser, **kwargs)
parser = options.add_replay_options(parser, **kwargs)
parser = options.add_bir_options(parser, **kwargs)
parser.add_argument(
'--per-bir-comp',
action='store_true',
help="also do gridsearch for individual BI-R components")
# Parse and process (i.e., set defaults for unselected options) options
args = parser.parse_args()
options.set_defaults(args, **kwargs)
return args