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| author | junyanz <junyanz@berkeley.edu> | 2017-04-20 03:30:45 -0700 |
|---|---|---|
| committer | junyanz <junyanz@berkeley.edu> | 2017-04-20 03:30:45 -0700 |
| commit | 443bc13554769d6a18eefdbac779cf385fb6dbb3 (patch) | |
| tree | 6d67da610c7800c3fe928e15ba63f3804f120b63 | |
| parent | a86fa495e19c79e16a2b0184abd6992abaa0ac48 (diff) | |
| parent | d83c47cc99c6a8cd4818d32972859f0d7b346238 (diff) | |
Merge branch 'master' of https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix
| -rw-r--r-- | train.py | 8 |
1 files changed, 4 insertions, 4 deletions
@@ -8,8 +8,8 @@ from util.visualizer import Visualizer data_loader = CreateDataLoader(opt) dataset = data_loader.load_data() -num_train = len(data_loader) -print('#training images = %d' % num_train) +dataset_size = len(data_loader) +print('#training images = %d' % dataset_size) model = create_model(opt) visualizer = Visualizer(opt) @@ -21,7 +21,7 @@ for epoch in range(1, opt.niter + opt.niter_decay + 1): for i, data in enumerate(dataset): iter_start_time = time.time() total_steps += opt.batchSize - epoch_iter = total_steps % num_train + epoch_iter = total_steps - dataset_size * (epoch - 1) model.set_input(data) model.optimize_parameters() @@ -32,7 +32,7 @@ for epoch in range(1, opt.niter + opt.niter_decay + 1): errors = model.get_current_errors() visualizer.print_current_errors(epoch, epoch_iter, errors, iter_start_time) if opt.display_id > 0: - visualizer.plot_current_errors(epoch, float(epoch_iter)/num_train, opt, errors) + visualizer.plot_current_errors(epoch, float(epoch_iter)/dataset_size, opt, errors) if total_steps % opt.save_latest_freq == 0: print('saving the latest model (epoch %d, total_steps %d)' % |
