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Diffstat (limited to 'models/base_model.py')
| -rw-r--r-- | models/base_model.py | 3 |
1 files changed, 2 insertions, 1 deletions
diff --git a/models/base_model.py b/models/base_model.py index d62d189..646a014 100644 --- a/models/base_model.py +++ b/models/base_model.py @@ -44,13 +44,14 @@ class BaseModel(): save_path = os.path.join(self.save_dir, save_filename) torch.save(network.cpu().state_dict(), save_path) if len(gpu_ids) and torch.cuda.is_available(): - network.cuda(device_id=gpu_ids[0]) # network.cuda(device=gpu_ids[0]) for the latest version. + network.cuda(device_id=gpu_ids[0]) # network.cuda(device=gpu_ids[0]) for the latest version. # helper loading function that can be used by subclasses def load_network(self, network, network_label, epoch_label): 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)) + # update learning rate (called once every epoch) def update_learning_rate(self): for scheduler in self.schedulers: |