reformat code

utils/torch_utils.py

@@ -12,6 +12,7 @@ import torchvision.models as models
 
 logger = logging.getLogger(__name__)
 
+
 def init_seeds(seed=0):
     torch.manual_seed(seed)
 
@@ -144,7 +145,8 @@ def model_info(model, verbose=False):
     except:
         fs = ''
 
-    logger.info('Model Summary: %g layers, %g parameters, %g gradients%s' % (len(list(model.parameters())), n_p, n_g, fs))
+    logger.info(
+        'Model Summary: %g layers, %g parameters, %g gradients%s' % (len(list(model.parameters())), n_p, n_g, fs))
 
 
 def load_classifier(name='resnet101', n=2):