in low_shot.py [0:0]
def parse_args():
parser = argparse.ArgumentParser(description='Low shot benchmark')
parser.add_argument('--lowshotmeta', required=True, type=str, help='set of base and novel classes')
parser.add_argument('--experimentpath', required=True, type=str, help='path of experiments')
parser.add_argument('--experimentid', default=1, type=int, help='id of experiment')
parser.add_argument('--lowshotn', required=True, type=int, help='number of examples per novel class')
parser.add_argument('--trainfile', required=True, type=str)
parser.add_argument('--testfile', required=True, type=str)
parser.add_argument('--testsetup', default=0, type=int, help='test setup or validation setup?')
parser.add_argument('--numclasses', default=1000, type=int)
parser.add_argument('--lr', default=0.1, type=float)
parser.add_argument('--momentum', default=0.9, type=float)
parser.add_argument('--wd', default=0.001, type=float)
parser.add_argument('--maxiters', default=10000, type=int)
parser.add_argument('--batchsize', default=1000, type=int)
parser.add_argument('--outdir', type=str, help='output directory for results')
parser.add_argument('--max_per_label', default=0, type=int, help='number to generate')
parser.add_argument('--generator_name', default='', type=str, help='type of generator')
parser.add_argument('--generator_file', default='', type=str, help='file containing trained generator')
return parser.parse_args()