summaryrefslogtreecommitdiff
path: root/train.py
diff options
context:
space:
mode:
Diffstat (limited to 'train.py')
-rw-r--r--train.py8
1 files changed, 4 insertions, 4 deletions
diff --git a/train.py b/train.py
index dd79bab..8fef794 100644
--- a/train.py
+++ b/train.py
@@ -15,7 +15,7 @@ if __name__ == '__main__':
visualizer = Visualizer(opt)
total_steps = 0
- for epoch in range(opt.epoch_count, opt.niter + opt.niter_decay + 1):
+ for epoch in range(1, opt.niter + opt.niter_decay + 1):
epoch_start_time = time.time()
iter_data_time = time.time()
epoch_iter = 0
@@ -43,7 +43,7 @@ if __name__ == '__main__':
if total_steps % opt.save_latest_freq == 0:
print('saving the latest model (epoch %d, total_steps %d)' %
- (epoch, total_steps))
+ (opt.epoch_count + epoch, total_steps))
model.save('latest')
iter_data_time = time.time()
@@ -51,8 +51,8 @@ if __name__ == '__main__':
print('saving the model at the end of epoch %d, iters %d' %
(epoch, total_steps))
model.save('latest')
- model.save(epoch)
+ model.save(opt.epoch_count + epoch)
print('End of epoch %d / %d \t Time Taken: %d sec' %
- (epoch, opt.niter + opt.niter_decay, time.time() - epoch_start_time))
+ (opt.epoch_count + epoch, opt.niter + opt.niter_decay, time.time() - epoch_start_time))
model.update_learning_rate()