update code (#824)

torchvision/models/inception.py

@@ -67,9 +67,10 @@ class Inception3(nn.Module):
                 import scipy.stats as stats
                 stddev = m.stddev if hasattr(m, 'stddev') else 0.1
                 X = stats.truncnorm(-2, 2, scale=stddev)
-                values = torch.Tensor(X.rvs(m.weight.numel()))
+                values = torch.as_tensor(X.rvs(m.weight.numel()), dtype=m.weight.dtype)
                 values = values.view(m.weight.size())
-                m.weight.data.copy_(values)
+                with torch.no_grad():
+                    m.weight.copy_(values)
             elif isinstance(m, nn.BatchNorm2d):
                 nn.init.constant_(m.weight, 1)
                 nn.init.constant_(m.bias, 0)