Fix float zeros format (#5491)

* Fix float zeros format

* 255 to integer

utils/torch_utils.py

@@ -111,7 +111,7 @@ def profile(input, ops, n=10, device=None):
         for m in ops if isinstance(ops, list) else [ops]:
             m = m.to(device) if hasattr(m, 'to') else m  # device
             m = m.half() if hasattr(m, 'half') and isinstance(x, torch.Tensor) and x.dtype is torch.float16 else m
-            tf, tb, t = 0., 0., [0., 0., 0.]  # dt forward, backward
+            tf, tb, t = 0, 0, [0, 0, 0]  # dt forward, backward
             try:
                 flops = thop.profile(m, inputs=(x,), verbose=False)[0] / 1E9 * 2  # GFLOPs
             except:
@@ -177,7 +177,7 @@ def find_modules(model, mclass=nn.Conv2d):
 
 def sparsity(model):
     # Return global model sparsity
-    a, b = 0., 0.
+    a, b = 0, 0
     for p in model.parameters():
         a += p.numel()
         b += (p == 0).sum()
@@ -336,7 +336,7 @@ class ModelEMA:
             for k, v in self.ema.state_dict().items():
                 if v.dtype.is_floating_point:
                     v *= d
-                    v += (1. - d) * msd[k].detach()
+                    v += (1 - d) * msd[k].detach()
 
     def update_attr(self, model, include=(), exclude=('process_group', 'reducer')):
         # Update EMA attributes