args --batch-size -> --batchsize in examples

examples/fcis/train_coco_multi.py

@@ -44,7 +44,7 @@ def main():
     parser.add_argument(
         '--lr', '-l', type=float, default=None,
         help='Learning rate for multi GPUs')
-    parser.add_argument('--batch-size', type=int, default=8)
+    parser.add_argument('--batchsize', type=int, default=8)
     parser.add_argument('--epoch', '-e', type=int, default=18)
     parser.add_argument('--cooldown-epoch', '-ce', type=int, default=12)
     args = parser.parse_args()
@@ -108,7 +108,7 @@ def main():
     indices = chainermn.scatter_dataset(indices, comm, shuffle=True)
     train_dataset = train_dataset.slice[indices]
     train_iter = chainer.iterators.SerialIterator(
-        train_dataset, batch_size=args.batch_size // comm.size)
+        train_dataset, batch_size=args.batchsize // comm.size)
 
     # test dataset
     if comm.rank == 0:
@@ -147,7 +147,7 @@ def main():
     @make_shift('lr')
     def lr_scheduler(trainer):
         if args.lr is None:
-            base_lr = 0.0005 * args.batch_size
+            base_lr = 0.0005 * args.batchsize
         else:
             base_lr = args.lr
 

examples/fcis/train_sbd_multi.py

@@ -39,7 +39,7 @@ def main():
     parser.add_argument(
         '--lr', '-l', type=float, default=None,
         help='Learning rate for multi GPUs')
-    parser.add_argument('--batch-size', type=int, default=8)
+    parser.add_argument('--batchsize', type=int, default=8)
     parser.add_argument('--epoch', '-e', type=int, default=42)
     parser.add_argument('--cooldown-epoch', '-ce', type=int, default=28)
     args = parser.parse_args()
@@ -78,7 +78,7 @@ def main():
     indices = chainermn.scatter_dataset(indices, comm, shuffle=True)
     train_dataset = train_dataset.slice[indices]
     train_iter = chainer.iterators.SerialIterator(
-        train_dataset, batch_size=args.batch_size // comm.size)
+        train_dataset, batch_size=args.batchsize // comm.size)
 
     if comm.rank == 0:
         test_dataset = SBDInstanceSegmentationDataset(split='val')
@@ -111,7 +111,7 @@ def main():
     @make_shift('lr')
     def lr_scheduler(trainer):
         if args.lr is None:
-            base_lr = 0.0005 * args.batch_size
+            base_lr = 0.0005 * args.batchsize
         else:
             base_lr = args.lr
 

examples/pspnet/train_multi.py

@@ -171,7 +171,7 @@ def main():
     parser.add_argument('--model',
                         choices=('pspnet_resnet101', 'pspnet_resnet50'))
     parser.add_argument('--lr', default=1e-2)
-    parser.add_argument('--batch-size', default=2, type=int)
+    parser.add_argument('--batchsize', default=2, type=int)
     parser.add_argument('--out', default='result')
     parser.add_argument('--iteration', default=None, type=int)
     parser.add_argument('--communicator', default='hierarchical')
@@ -248,7 +248,7 @@ def main():
     train = train.slice[indices]
 
     train_iter = chainer.iterators.MultiprocessIterator(
-        train, batch_size=args.batch_size, n_processes=2)
+        train, batch_size=args.batchsize, n_processes=2)
 
     optimizer = chainermn.create_multi_node_optimizer(
         chainer.optimizers.MomentumSGD(args.lr, 0.9), comm)