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)
 
@@ -43,7 +44,7 @@ def select_device(device='', batch_size=None):
             if i == 1:
                 s = ' ' * len(s)
             logger.info("%sdevice%g _CudaDeviceProperties(name='%s', total_memory=%dMB)" %
-                  (s, i, x[i].name, x[i].total_memory / c))
+                        (s, i, x[i].name, x[i].total_memory / c))
     else:
         logger.info('Using CPU')
 
@@ -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):