diff options
| -rw-r--r-- | models/base_model.py | 4 | ||||
| -rw-r--r-- | train.py | 5 |
2 files changed, 4 insertions, 5 deletions
diff --git a/models/base_model.py b/models/base_model.py index 55da1ca..446a903 100644 --- a/models/base_model.py +++ b/models/base_model.py @@ -51,8 +51,8 @@ class BaseModel(): save_filename = '%s_net_%s.pth' % (epoch_label, network_label) save_path = os.path.join(self.save_dir, save_filename) network.load_state_dict(torch.load(save_path)) - - def update_learning_rate(): + # update learning rate (called once every epoch) + def update_learning_rate(self): for scheduler in self.schedulers: scheduler.step() lr = self.optimizers[0].param_groups[0]['lr'] @@ -17,6 +17,7 @@ total_steps = 0 for epoch in range(opt.epoch_count, opt.niter + opt.niter_decay + 1): epoch_start_time = time.time() epoch_iter = 0 + for i, data in enumerate(dataset): iter_start_time = time.time() total_steps += opt.batchSize @@ -47,6 +48,4 @@ for epoch in range(opt.epoch_count, opt.niter + opt.niter_decay + 1): print('End of epoch %d / %d \t Time Taken: %d sec' % (epoch, opt.niter + opt.niter_decay, time.time() - epoch_start_time)) - - if epoch > opt.niter: - model.update_learning_rate() + model.update_learning_rate() |