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authorjunyanz <junyanz@berkeley.edu>2017-10-06 10:46:43 -0700
committerjunyanz <junyanz@berkeley.edu>2017-10-06 10:46:43 -0700
commit7800d516596f1a25986b458cddf8b8785bcc7df8 (patch)
tree56d57350e7104393f939ec7cc2e07c96840aaa27 /options/train_options.py
parente986144cee13a921fd3ad68d564f820e8f7dd3b0 (diff)
support nc=1, add new leaerning rate policy and new initialization
Diffstat (limited to 'options/train_options.py')
-rw-r--r--options/train_options.py3
1 files changed, 3 insertions, 0 deletions
diff --git a/options/train_options.py b/options/train_options.py
index a595017..f8a0ff6 100644
--- a/options/train_options.py
+++ b/options/train_options.py
@@ -21,4 +21,7 @@ class TrainOptions(BaseOptions):
self.parser.add_argument('--lambda_B', type=float, default=10.0, help='weight for cycle loss (B -> A -> B)')
self.parser.add_argument('--pool_size', type=int, default=50, help='the size of image buffer that stores previously generated images')
self.parser.add_argument('--no_html', action='store_true', help='do not save intermediate training results to [opt.checkpoints_dir]/[opt.name]/web/')
+ self.parser.add_argument('--lr_policy', type=str, default='lambda', help='learning rate policy: lambda|step|plateau')
+ self.parser.add_argument('--lr_decay_iters', type=int, default=50, help='multiply by a gamma every lr_decay_iters iterations')
+
self.isTrain = True