diff options
Diffstat (limited to 'options')
| -rw-r--r-- | options/base_options.py | 2 | ||||
| -rw-r--r-- | options/train_options.py | 1 |
2 files changed, 2 insertions, 1 deletions
diff --git a/options/base_options.py b/options/base_options.py index f03a687..bce0b9c 100644 --- a/options/base_options.py +++ b/options/base_options.py @@ -35,6 +35,8 @@ class BaseOptions(): self.parser.add_argument('--display_id', type=int, default=1, help='window id of the web display') self.parser.add_argument('--identity', type=float, default=0.0, help='use identity mapping. Setting identity other than 1 has an effect of scaling the weight of the identity mapping loss. For example, if the weight of the identity loss should be 10 times smaller than the weight of the reconstruction loss, please set optidentity = 0.1') self.parser.add_argument('--use_dropout', action='store_true', help='use dropout for the generator') + self.parser.add_argument('--max_dataset_size', type=int, default=float("inf"), help='Maximum number of samples allowed per dataset. If the dataset directory contains more than max_dataset_size, only a subset is loaded.') + self.initialized = True def parse(self): diff --git a/options/train_options.py b/options/train_options.py index 981126f..4b4eac3 100644 --- a/options/train_options.py +++ b/options/train_options.py @@ -13,7 +13,6 @@ class TrainOptions(BaseOptions): self.parser.add_argument('--niter', type=int, default=200, help='# of iter at starting learning rate') self.parser.add_argument('--niter_decay', type=int, default=0, help='# of iter to linearly decay learning rate to zero') self.parser.add_argument('--beta1', type=float, default=0.5, help='momentum term of adam') - self.parser.add_argument('--ntrain', type=int, default=float("inf"), help='# of examples per epoch.') self.parser.add_argument('--lr', type=float, default=0.0002, help='initial learning rate for adam') self.parser.add_argument('--no_lsgan', action='store_true', help='do *not* use least square GAN, if false, use vanilla GAN') self.parser.add_argument('--lambda_A', type=float, default=10.0, help='weight for cycle loss (A -> B -> A)') |