diff --git a/utils/torch_utils.py b/utils/torch_utils.py
index ac38249c..18664b3a 100644
--- a/utils/torch_utils.py
+++ b/utils/torch_utils.py
@@ -88,6 +88,11 @@ def model_info(model, verbose=False):
                   (i, name, p.requires_grad, p.numel(), list(p.shape), p.mean(), p.std()))
     print('Model Summary: %g layers, %g parameters, %g gradients' % (len(list(model.parameters())), n_p, n_g))
 
+    # Report FLOPS
+    # from thop import profile
+    # macs, params = profile(model, inputs=(torch.zeros(1, 3, 608, 608),))
+    # print('%.3f FLOPS' % (macs / 1E9 * 2))
+
 
 def load_classifier(name='resnet101', n=2):
     # Loads a pretrained model reshaped to n-class output