def run(argv_str=None):
from template_lib.utils.config import parse_args_and_setup_myargs, config2args
run_script = os.path.relpath(__file__, os.getcwd())
args1, myargs, _ = parse_args_and_setup_myargs(argv_str,
run_script=run_script,
start_tb=False)
myargs.args = args1
myargs.config = getattr(myargs.config, args1.command)
if hasattr(myargs.config, 'datasets'):
prepare_dataset(myargs.config.datasets, cfg=myargs.config)
args = default_argument_parser().parse_args(args=[])
args = config2args(myargs.config.args, args)
args.opts += ['OUTPUT_DIR', args1.outdir + '/detectron2']
print("Command Line Args:", args)
myargs = D2Utils.unset_myargs_for_multiple_processing(
myargs, num_gpus=args.num_gpus)
launch(
main,
args.num_gpus,
num_machines=args.num_machines,
machine_rank=args.machine_rank,
dist_url=args.dist_url,
args=(args, myargs),
)
def run(argv_str=None):
from template_lib.utils.config import parse_args_and_setup_myargs, config2args
from template_lib.utils.modelarts_utils import prepare_dataset
run_script = os.path.relpath(__file__, os.getcwd())
args1, myargs, _ = parse_args_and_setup_myargs(argv_str,
run_script=run_script,
start_tb=False)
myargs.args = args1
myargs.config = getattr(myargs.config, args1.command)
if hasattr(myargs.config, 'datasets'):
prepare_dataset(myargs.config.datasets, cfg=myargs.config)
helper = Helper(save_dir=os.path.join(myargs.args.outdir, 'robust_darts'),
args_list=[])
args = helper.config
args = config2args(myargs.config.args, args)
if args.drop_path_prob == 0:
args.cutout = False
log_format = '%(asctime)s %(message)s'
# logging.basicConfig()
logging.basicConfig(level=logging.INFO,
format=log_format,
datefmt='%m/%d %I:%M:%S %p')
logging.getLogger().handlers = myargs.logger.handlers
# for handler in myargs.logger.handlers:
# logging.getLogger().addHandler(handler)
space = spaces_dict[args.space]
main(space, args=args, helper=helper, myargs=myargs)
def run(argv_str=None):
from template_lib.utils.config import parse_args_and_setup_myargs, config2args
from template_lib.utils.modelarts_utils import prepare_dataset
run_script = os.path.relpath(__file__, os.getcwd())
args1, myargs, _ = parse_args_and_setup_myargs(argv_str,
run_script=run_script,
start_tb=False)
myargs.args = args1
myargs.config = getattr(myargs.config, args1.command)
if hasattr(myargs.config, 'datasets'):
prepare_dataset(myargs.config.datasets, cfg=myargs.config)
parser = build_parser()
args = parser.parse_args([])
args = config2args(myargs.config.args, args)
outdir = os.path.join(myargs.args.outdir, 'NAO')
os.makedirs(outdir, exist_ok=True)
args.output_dir = outdir
log_format = '%(asctime)s %(message)s'
logging.basicConfig(stream=sys.stdout,
level=logging.INFO,
format=log_format,
datefmt='%m/%d %I:%M:%S %p')
main(args, myargs)
def run(argv_str=None):
from template_lib.utils.config import parse_args_and_setup_myargs, config2args
from template_lib.utils.modelarts_utils import prepare_dataset
args1, myargs, _ = parse_args_and_setup_myargs(argv_str, start_tb=False)
myargs.args = args1
myargs.config = getattr(myargs.config, args1.command)
prepare_dataset(myargs.config.dataset)
main(myargs)
def run(argv_str=None): from template_lib.utils.config import parse_args_and_setup_myargs, config2args from template_lib.utils.modelarts_utils import prepare_dataset run_script = os.path.relpath(__file__, os.getcwd()) args1, myargs, _ = parse_args_and_setup_myargs(argv_str, run_script=run_script, start_tb=False) myargs.args = args1 myargs.config = getattr(myargs.config, args1.command) prepare_dataset(myargs.config.dataset) main(myargs)
def run(argv_str=None):
from template_lib.utils.config import parse_args_and_setup_myargs, config2args
from template_lib.utils.modelarts_utils import prepare_dataset
run_script = os.path.relpath(__file__, os.getcwd())
args1, myargs, _ = parse_args_and_setup_myargs(argv_str, run_script=run_script, start_tb=False)
myargs.args = args1
myargs.config = getattr(myargs.config, args1.command)
if hasattr(myargs.config, 'datasets'):
prepare_dataset(myargs.config.datasets, cfg=myargs.config)
args = parser.parse_args([])
args = config2args(myargs.config.args, args)
args.path = os.path.join(myargs.args.outdir, args.path)
main(args, myargs)
def run(argv_str=None, return_args=False):
from template_lib.utils.config import parse_args_and_setup_myargs, config2args
from template_lib.utils import parser_set_default
from template_lib.utils.modelarts_utils import prepare_dataset
run_script = os.path.relpath(__file__, os.getcwd())
args1, myargs, _ = parse_args_and_setup_myargs(argv_str, run_script=run_script, start_tb=False)
myargs.args = args1
myargs.config = getattr(myargs.config, args1.command)
if return_args:
return args1, myargs
if hasattr(myargs.config, 'datasets'):
prepare_dataset(myargs.config.datasets, cfg=myargs.config)
# main(myargs)
return args1, myargs
def run(argv_str=None):
from template_lib.utils.config import parse_args_and_setup_myargs, config2args
from template_lib.utils.modelarts_utils import prepare_dataset
run_script = os.path.relpath(__file__, os.getcwd())
args1, myargs, _ = parse_args_and_setup_myargs(argv_str, run_script=run_script, start_tb=False)
myargs.args = args1
myargs.config = getattr(myargs.config, args1.command)
if hasattr(myargs.config, 'datasets'):
prepare_dataset(myargs.config.datasets, cfg=myargs.config)
opt = TestOptions().parse(print_options=False)
opt = config2args(myargs.config.args, opt)
main(opt, myargs)
pass
def run(argv_str=None):
from template_lib.utils.config import parse_args_and_setup_myargs, config2args
from template_lib.utils.modelarts_utils import prepare_dataset
run_script = os.path.relpath(__file__, os.getcwd())
args1, myargs, _ = parse_args_and_setup_myargs(argv_str,
run_script=run_script,
start_tb=False)
myargs.args = args1
myargs.config = getattr(myargs.config, args1.command)
if hasattr(myargs.config, 'datasets'):
prepare_dataset(myargs.config.datasets, cfg=myargs.config)
parser = build_parser()
args = parser.parse_args()
if args.rand_seed is None or args.rand_seed < 0:
args.rand_seed = random.randint(1, 100000)
args = config2args(config=myargs.config.args, args=args)
args.save_dir = os.path.join(args1.outdir, '201')
main(args, myargs)
def run(argv_str=None):
from template_lib.utils.config import parse_args_and_setup_myargs, config2args
from template_lib.utils.modelarts_utils import prepare_dataset
run_script = os.path.relpath(__file__, os.getcwd())
args1, myargs, _ = parse_args_and_setup_myargs(argv_str,
run_script=run_script,
start_tb=False)
myargs.args = args1
myargs.config = getattr(myargs.config, args1.command)
if hasattr(myargs.config, 'datasets'):
prepare_dataset(myargs.config.datasets, cfg=myargs.config)
parser = argparse.ArgumentParser()
parser.add_argument('--out', type=str)
parser.add_argument('--n_worker', type=int, default=8)
parser.add_argument('--path', type=str)
args = parser.parse_args([])
args = config2args(myargs.config.args, args)
main(args, myargs)
def run(argv_str=None):
from template_lib.utils.config import parse_args_and_setup_myargs, config2args
from template_lib.utils.modelarts_utils import prepare_dataset
run_script = os.path.relpath(__file__, os.getcwd())
args1, myargs, _ = parse_args_and_setup_myargs(argv_str,
run_script=run_script,
start_tb=False)
myargs.args = args1
myargs.config = getattr(myargs.config, args1.command)
if hasattr(myargs.config, 'datasets'):
prepare_dataset(myargs.config.datasets, cfg=myargs.config)
parser = argparse.ArgumentParser(description='Progressive Growing of GANs')
parser.add_argument('--path', type=str, help='path of specified dataset')
parser.add_argument(
'--phase',
type=int,
default=600_000,
help='number of samples used for each training phases',
)
parser.add_argument('--lr',
default=0.001,
type=float,
help='learning rate')
parser.add_argument('--sched',
action='store_true',
help='use lr scheduling')
parser.add_argument('--init_size',
default=8,
type=int,
help='initial image size')
parser.add_argument('--max_size',
default=1024,
type=int,
help='max image size')
parser.add_argument('--ckpt',
default=None,
type=str,
help='load from previous checkpoints')
parser.add_argument(
'--no_from_rgb_activate',
action='store_true',
help='use activate in from_rgb (original implementation)',
)
parser.add_argument('--mixing',
action='store_true',
help='use mixing regularization')
parser.add_argument(
'--loss',
type=str,
default='wgan-gp',
choices=['wgan-gp', 'r1'],
help='class of gan loss',
)
args = parser.parse_args([])
args = config2args(myargs.config.args, args)
main(args, myargs)