model fuse

utils/torch_utils.py

@@ -90,7 +90,7 @@ def fuse_conv_and_bn(conv, bn):
         if conv.bias is not None:
             b_conv = conv.bias
         else:
-            b_conv = torch.zeros(conv.weight.size(0))
+            b_conv = torch.zeros(conv.weight.size(0), device=conv.weight.device)
         b_bn = bn.bias - bn.weight.mul(bn.running_mean).div(torch.sqrt(bn.running_var + bn.eps))
         fusedconv.bias.copy_(torch.mm(w_bn, b_conv.reshape(-1, 1)).reshape(-1) + b_bn)