diff options
Diffstat (limited to 'options/train_options.py')
| -rw-r--r-- | options/train_options.py | 5 |
1 files changed, 2 insertions, 3 deletions
diff --git a/options/train_options.py b/options/train_options.py index b241863..4b4eac3 100644 --- a/options/train_options.py +++ b/options/train_options.py @@ -10,10 +10,9 @@ class TrainOptions(BaseOptions): self.parser.add_argument('--continue_train', action='store_true', help='continue training: load the latest model') self.parser.add_argument('--phase', type=str, default='train', help='train, val, test, etc') self.parser.add_argument('--which_epoch', type=str, default='latest', help='which epoch to load? set to latest to use latest cached model') - self.parser.add_argument('--niter', type=int, default=100, help='# of iter at starting learning rate') - self.parser.add_argument('--niter_decay', type=int, default=100, help='# of iter to linearly decay learning rate to zero') + 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)') |