Autogenerate default value in argparse

1 files changed, 24 insertions, 25 deletions

diff --git a/supervised/baseline.py b/supervised/baseline.py
index 5e1b32e..e7ff8f1 100644
--- a/supervised/baseline.py
+++ b/supervised/baseline.py
@@ -23,59 +23,58 @@ from models import CIFARResNet50
 
 
 def parse_args_and_config():
-    parser = argparse.ArgumentParser(description='Supervised baseline')
+    parser = argparse.ArgumentParser(
+        description='Supervised baseline',
+        formatter_class=argparse.ArgumentDefaultsHelpFormatter
+    )
     parser.add_argument('--codename', default='cifar10-resnet50-256-adam-linear',
-                        type=str, help="Model descriptor (default: "
-                                       "'cifar10-resnet50-256-adam-linear')")
+                        type=str, help="Model descriptor")
     parser.add_argument('--log_dir', default='logs', type=str,
-                        help="Path to log directory (default: 'logs')")
+                        help="Path to log directory")
     parser.add_argument('--checkpoint_dir', default='checkpoints', type=str,
-                        help="Path to checkpoints directory (default: 'checkpoints')")
-    parser.add_argument('--seed', default=-1, type=int,
-                        help='Random seed for reproducibility '
-                             '(-1 for not set seed) (default: -1)')
+                        help="Path to checkpoints directory")
+    parser.add_argument('--seed', default=None, type=int,
+                        help='Random seed for reproducibility')
     parser.add_argument('--num_iters', default=1000, type=int,
-                        help='Number of iters (epochs) (default: 1000)')
+                        help='Number of iters (epochs)')
     parser.add_argument('--config', type=argparse.FileType(mode='r'),
                         help='Path to config file (optional)')
 
     dataset_group = parser.add_argument_group('Dataset parameters')
     dataset_group.add_argument('--dataset_dir', default='dataset', type=str,
-                               help="Path to dataset directory (default: 'dataset')")
+                               help="Path to dataset directory")
     dataset_group.add_argument('--dataset', default='cifar10', type=str,
                                choices=('cifar', 'cifar10, cifar100'),
-                               help="Name of dataset (default: 'cifar10')")
+                               help="Name of dataset")
     dataset_group.add_argument('--crop_size', default=32, type=int,
-                               help='Random crop size after resize (default: 32)')
-    dataset_group.add_argument('--crop_scale_range', nargs=2, default=(0.8, 1), type=float,
-                               help='Random resize scale range (default: 0.8 1)',
+                               help='Random crop size after resize')
+    dataset_group.add_argument('--crop_scale_range', nargs=2, default=(0.8, 1),
+                               type=float, help='Random resize scale range',
                                metavar=('start', 'stop'))
     dataset_group.add_argument('--hflip_prob', default=0.5, type=float,
-                               help='Random horizontal flip probability (default: 0.5)')
+                               help='Random horizontal flip probability')
 
     dataloader_group = parser.add_argument_group('Dataloader parameters')
     dataloader_group.add_argument('--batch_size', default=256, type=int,
-                                  help='Batch size (default: 256)')
+                                  help='Batch size')
     dataloader_group.add_argument('--num_workers', default=2, type=int,
-                                  help='Number of dataloader processes (default: 2)')
+                                  help='Number of dataloader processes')
 
     optim_group = parser.add_argument_group('Optimizer parameters')
     optim_group.add_argument('--optim', default='adam', type=str,
-                             choices=('adam', 'sgd'),
-                             help="Name of optimizer (default: 'adam')")
+                             choices=('adam', 'sgd'), help="Name of optimizer")
     optim_group.add_argument('--lr', default=1e-3, type=float,
-                             help='Learning rate (default: 1)')
+                             help='Learning rate')
     optim_group.add_argument('--betas', nargs=2, default=(0.9, 0.999), type=float,
-                             help='Adam betas (default: 0.9 0.999)', metavar=('beta1', 'beta2'))
+                             help='Adam betas', metavar=('beta1', 'beta2'))
     optim_group.add_argument('--momentum', default=0.9, type=float,
-                             help='SDG momentum (default: 0.9)')
+                             help='SDG momentum')
     optim_group.add_argument('--weight_decay', default=1e-6, type=float,
-                             help='Weight decay (l2 regularization) (default: 1e-6)')
+                             help='Weight decay (l2 regularization)')
 
     sched_group = parser.add_argument_group('Optimizer parameters')
     sched_group.add_argument('--sched', default='linear', type=str,
-                             choices=(None, '', 'linear'),
-                             help="Name of scheduler (default: None)")
+                             choices=(None, '', 'linear'), help="Name of scheduler")
 
     args = parser.parse_args()
     if args.config: