修改白盒水印嵌入代码，调整pytorch的坐标顺序与tensorflow一致

watermark_generate/deals/yolox_pytorch_white_embed.py

@@ -187,6 +187,7 @@ class ModelEncoder:
         np.save(save_path, numpy_array)
 
     def flatten_parameters(self, weights):
+        weights = [weight.permute(2, 3, 1, 0) for weight in weights]
         return torch.cat([torch.mean(x, dim=3).reshape(-1)
                           for x in weights])