ref: 247ea8367395a95e5be2a7a9c5dfb8025a3f367e
parent: ca1f8f2ff946d178a1785b4fc408075b717b5450
author: Jan Buethe <jan.buethe@gmx.net>
date: Tue Sep 2 12:47:46 EDT 2025
added --initial-epoch option to adv_train_bwe_model.py
--- a/dnn/torch/osce/adv_train_bwe_model.py
+++ b/dnn/torch/osce/adv_train_bwe_model.py
@@ -69,7 +69,9 @@
parser.add_argument('--initial-checkpoint', type=str, help='initial checkpoint', default=None)
parser.add_argument('--testdata', type=str, help='path to features and signal for testing', default=None)
parser.add_argument('--no-redirect', action='store_true', help='disables re-direction of stdout')
+parser.add_argument('--initial-epoch', type=int, help='initial epoch number for training', default=1)
+
args = parser.parse_args()
@@ -347,7 +349,7 @@
retain_grads(model)
retain_grads(disc)
-for ep in range(1, epochs + 1):
+for ep in range(args.initial_epoch, epochs + 1):
print(f"training epoch {ep}...")
model.to(device)
--
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