Added data size and ONNX export options, FP16 inference is working

1 files changed, 5 insertions, 3 deletions

diff --git a/models/base_model.py b/models/base_model.py
index 88e0587..2cda12f 100755
--- a/models/base_model.py
+++ b/models/base_model.py
@@ -68,7 +68,8 @@ class BaseModel(torch.nn.Module):
                 try:
                     pretrained_dict = {k: v for k, v in pretrained_dict.items() if k in model_dict}                    
                     network.load_state_dict(pretrained_dict)
-                    print('Pretrained network %s has excessive layers; Only loading layers that are used' % network_label)
+                    if self.opt.verbose:
+                        print('Pretrained network %s has excessive layers; Only loading layers that are used' % network_label)
                 except:
                     print('Pretrained network %s has fewer layers; The following are not initialized:' % network_label)
                     if sys.version_info >= (3,0):
@@ -82,8 +83,9 @@ class BaseModel(torch.nn.Module):
 
                     for k, v in model_dict.items():
                         if k not in pretrained_dict or v.size() != pretrained_dict[k].size():
-                            not_initialized.add(k.split('.')[0])                            
-                    print(sorted(not_initialized))
+                            not_initialized.add(k.split('.')[0])
+                    if self.opt.verbose:
+                        print(sorted(not_initialized))
                     network.load_state_dict(model_dict)                  
 
     def update_learning_rate():