updates

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

utils/utils.py

@@ -556,7 +556,11 @@ def get_yolo_layers(model):
 def print_model_biases(model):
     # prints the bias neurons preceding each yolo layer
     print('\nModel Bias Summary (per output layer):')
+    multi_gpu = type(model) in (nn.parallel.DataParallel, nn.parallel.DistributedDataParallel)
     for l in model.yolo_layers:  # print pretrained biases
+        if multi_gpu:
+            b = model.module.module_list[l - 1][0].bias.view(3, -1)  # bias 3x85
+        else:
             b = model.module_list[l - 1][0].bias.view(3, -1)  # bias 3x85
         print('regression: %5.2f+/-%-5.2f ' % (b[:, :4].mean(), b[:, :4].std()),
               'objectness: %5.2f+/-%-5.2f ' % (b[:, 4].mean(), b[:, 4].std()),