用VB.NET实现给黑白老照片自动上色（6）

bicheng/2025/9/30 16:58:43/文章来源:href="https://blog.51cto.com/yufengnet/14116034" target="_blank"
声明：本程序代码以国外Jason Antic的DeOldify程序C#代码为基础，做了适应VB.NET程序和语言的变动，免费共享给大家使用。本代码供具有一定VB.NET基础的爱好者学习研究使用，如果想学习基础图像操作知识，请见我的视频课程《【VB.NET】二维图形绘制》等系列课程。
最后我们把 DeOldify 类中 Initialize 方法中用到的参数添加语句列举如下，由于行数很多，为了以后观看其他代码方便，我们这些参数添加语句放到一个Region区域里，以便折叠：
#Region "参数添加部分"With Parameters.Add("layers.0.0.weight", LoadTensor(br, 64, 3, 7, 7)).Add("layers.0.1.weight", LoadTensor(br, 64)).Add("layers.0.1.bias", LoadTensor(br, 64)).Add("layers.0.1.running_mean", LoadTensor(br, 64)).Add("layers.0.1.running_var", LoadTensor(br, 64)).Add("layers.0.4.0.conv1.weight", LoadTensor(br, 64, 64, 1, 1)).Add("layers.0.4.0.bn1.weight", LoadTensor(br, 64)).Add("layers.0.4.0.bn1.bias", LoadTensor(br, 64)).Add("layers.0.4.0.bn1.running_mean", LoadTensor(br, 64)).Add("layers.0.4.0.bn1.running_var", LoadTensor(br, 64)).Add("layers.0.4.0.conv2.weight", LoadTensor(br, 64, 64, 3, 3)).Add("layers.0.4.0.bn2.weight", LoadTensor(br, 64)).Add("layers.0.4.0.bn2.bias", LoadTensor(br, 64)).Add("layers.0.4.0.bn2.running_mean", LoadTensor(br, 64)).Add("layers.0.4.0.bn2.running_var", LoadTensor(br, 64)).Add("layers.0.4.0.conv3.weight", LoadTensor(br, 256, 64, 1, 1)).Add("layers.0.4.0.bn3.weight", LoadTensor(br, 256)).Add("layers.0.4.0.bn3.bias", LoadTensor(br, 256)).Add("layers.0.4.0.bn3.running_mean", LoadTensor(br, 256)).Add("layers.0.4.0.bn3.running_var", LoadTensor(br, 256)).Add("layers.0.4.0.downsample.0.weight", LoadTensor(br, 256, 64, 1, 1)).Add("layers.0.4.0.downsample.1.weight", LoadTensor(br, 256)).Add("layers.0.4.0.downsample.1.bias", LoadTensor(br, 256)).Add("layers.0.4.0.downsample.1.running_mean", LoadTensor(br, 256)).Add("layers.0.4.0.downsample.1.running_var", LoadTensor(br, 256)).Add("layers.0.4.1.conv1.weight", LoadTensor(br, 64, 256, 1, 1)).Add("layers.0.4.1.bn1.weight", LoadTensor(br, 64)).Add("layers.0.4.1.bn1.bias", LoadTensor(br, 64)).Add("layers.0.4.1.bn1.running_mean", LoadTensor(br, 64)).Add("layers.0.4.1.bn1.running_var", LoadTensor(br, 64)).Add("layers.0.4.1.conv2.weight", LoadTensor(br, 64, 64, 3, 3)).Add("layers.0.4.1.bn2.weight", LoadTensor(br, 64)).Add("layers.0.4.1.bn2.bias", LoadTensor(br, 64)).Add("layers.0.4.1.bn2.running_mean", LoadTensor(br, 64)).Add("layers.0.4.1.bn2.running_var", LoadTensor(br, 64)).Add("layers.0.4.1.conv3.weight", LoadTensor(br, 256, 64, 1, 1)).Add("layers.0.4.1.bn3.weight", LoadTensor(br, 256)).Add("layers.0.4.1.bn3.bias", LoadTensor(br, 256)).Add("layers.0.4.1.bn3.running_mean", LoadTensor(br, 256)).Add("layers.0.4.1.bn3.running_var", LoadTensor(br, 256)).Add("layers.0.4.2.conv1.weight", LoadTensor(br, 64, 256, 1, 1)).Add("layers.0.4.2.bn1.weight", LoadTensor(br, 64)).Add("layers.0.4.2.bn1.bias", LoadTensor(br, 64)).Add("layers.0.4.2.bn1.running_mean", LoadTensor(br, 64)).Add("layers.0.4.2.bn1.running_var", LoadTensor(br, 64)).Add("layers.0.4.2.conv2.weight", LoadTensor(br, 64, 64, 3, 3)).Add("layers.0.4.2.bn2.weight", LoadTensor(br, 64)).Add("layers.0.4.2.bn2.bias", LoadTensor(br, 64)).Add("layers.0.4.2.bn2.running_mean", LoadTensor(br, 64)).Add("layers.0.4.2.bn2.running_var", LoadTensor(br, 64)).Add("layers.0.4.2.conv3.weight", LoadTensor(br, 256, 64, 1, 1)).Add("layers.0.4.2.bn3.weight", LoadTensor(br, 256)).Add("layers.0.4.2.bn3.bias", LoadTensor(br, 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256)).Add("layers.0.6.13.bn2.bias", LoadTensor(br, 256)).Add("layers.0.6.13.bn2.running_mean", LoadTensor(br, 256)).Add("layers.0.6.13.bn2.running_var", LoadTensor(br, 256)).Add("layers.0.6.13.conv3.weight", LoadTensor(br, 1024, 256, 1, 1)).Add("layers.0.6.13.bn3.weight", LoadTensor(br, 1024)).Add("layers.0.6.13.bn3.bias", LoadTensor(br, 1024)).Add("layers.0.6.13.bn3.running_mean", LoadTensor(br, 1024)).Add("layers.0.6.13.bn3.running_var", LoadTensor(br, 1024)).Add("layers.0.6.14.conv1.weight", LoadTensor(br, 256, 1024, 1, 1)).Add("layers.0.6.14.bn1.weight", LoadTensor(br, 256)).Add("layers.0.6.14.bn1.bias", LoadTensor(br, 256)).Add("layers.0.6.14.bn1.running_mean", LoadTensor(br, 256)).Add("layers.0.6.14.bn1.running_var", LoadTensor(br, 256)).Add("layers.0.6.14.conv2.weight", LoadTensor(br, 256, 256, 3, 3)).Add("layers.0.6.14.bn2.weight", LoadTensor(br, 256)).Add("layers.0.6.14.bn2.bias", LoadTensor(br, 256)).Add("layers.0.6.14.bn2.running_mean", LoadTensor(br, 256)).Add("layers.0.6.14.bn2.running_var", LoadTensor(br, 256)).Add("layers.0.6.14.conv3.weight", LoadTensor(br, 1024, 256, 1, 1)).Add("layers.0.6.14.bn3.weight", LoadTensor(br, 1024)).Add("layers.0.6.14.bn3.bias", LoadTensor(br, 1024)).Add("layers.0.6.14.bn3.running_mean", LoadTensor(br, 1024)).Add("layers.0.6.14.bn3.running_var", LoadTensor(br, 1024)).Add("layers.0.6.15.conv1.weight", LoadTensor(br, 256, 1024, 1, 1)).Add("layers.0.6.15.bn1.weight", LoadTensor(br, 256)).Add("layers.0.6.15.bn1.bias", LoadTensor(br, 256)).Add("layers.0.6.15.bn1.running_mean", LoadTensor(br, 256)).Add("layers.0.6.15.bn1.running_var", LoadTensor(br, 256)).Add("layers.0.6.15.conv2.weight", LoadTensor(br, 256, 256, 3, 3)).Add("layers.0.6.15.bn2.weight", LoadTensor(br, 256)).Add("layers.0.6.15.bn2.bias", LoadTensor(br, 256)).Add("layers.0.6.15.bn2.running_mean", LoadTensor(br, 256)).Add("layers.0.6.15.bn2.running_var", LoadTensor(br, 256)).Add("layers.0.6.15.conv3.weight", LoadTensor(br, 1024, 256, 1, 1)).Add("layers.0.6.15.bn3.weight", LoadTensor(br, 1024)).Add("layers.0.6.15.bn3.bias", LoadTensor(br, 1024)).Add("layers.0.6.15.bn3.running_mean", LoadTensor(br, 1024)).Add("layers.0.6.15.bn3.running_var", LoadTensor(br, 1024)).Add("layers.0.6.16.conv1.weight", LoadTensor(br, 256, 1024, 1, 1)).Add("layers.0.6.16.bn1.weight", LoadTensor(br, 256)).Add("layers.0.6.16.bn1.bias", LoadTensor(br, 256)).Add("layers.0.6.16.bn1.running_mean", LoadTensor(br, 256)).Add("layers.0.6.16.bn1.running_var", LoadTensor(br, 256)).Add("layers.0.6.16.conv2.weight", LoadTensor(br, 256, 256, 3, 3)).Add("layers.0.6.16.bn2.weight", LoadTensor(br, 256)).Add("layers.0.6.16.bn2.bias", LoadTensor(br, 256)).Add("layers.0.6.16.bn2.running_mean", LoadTensor(br, 256)).Add("layers.0.6.16.bn2.running_var", LoadTensor(br, 256)).Add("layers.0.6.16.conv3.weight", LoadTensor(br, 1024, 256, 1, 1)).Add("layers.0.6.16.bn3.weight", LoadTensor(br, 1024)).Add("layers.0.6.16.bn3.bias", LoadTensor(br, 1024)).Add("layers.0.6.16.bn3.running_mean", LoadTensor(br, 1024)).Add("layers.0.6.16.bn3.running_var", LoadTensor(br, 1024)).Add("layers.0.6.17.conv1.weight", LoadTensor(br, 256, 1024, 1, 1)).Add("layers.0.6.17.bn1.weight", LoadTensor(br, 256)).Add("layers.0.6.17.bn1.bias", LoadTensor(br, 256)).Add("layers.0.6.17.bn1.running_mean", LoadTensor(br, 256)).Add("layers.0.6.17.bn1.running_var", LoadTensor(br, 256)).Add("layers.0.6.17.conv2.weight", LoadTensor(br, 256, 256, 3, 3)).Add("layers.0.6.17.bn2.weight", LoadTensor(br, 256)).Add("layers.0.6.17.bn2.bias", LoadTensor(br, 256)).Add("layers.0.6.17.bn2.running_mean", LoadTensor(br, 256)).Add("layers.0.6.17.bn2.running_var", LoadTensor(br, 256)).Add("layers.0.6.17.conv3.weight", LoadTensor(br, 1024, 256, 1, 1)).Add("layers.0.6.17.bn3.weight", LoadTensor(br, 1024)).Add("layers.0.6.17.bn3.bias", LoadTensor(br, 1024)).Add("layers.0.6.17.bn3.running_mean", LoadTensor(br, 1024)).Add("layers.0.6.17.bn3.running_var", LoadTensor(br, 1024)).Add("layers.0.6.18.conv1.weight", LoadTensor(br, 256, 1024, 1, 1)).Add("layers.0.6.18.bn1.weight", LoadTensor(br, 256)).Add("layers.0.6.18.bn1.bias", LoadTensor(br, 256)).Add("layers.0.6.18.bn1.running_mean", LoadTensor(br, 256)).Add("layers.0.6.18.bn1.running_var", LoadTensor(br, 256)).Add("layers.0.6.18.conv2.weight", LoadTensor(br, 256, 256, 3, 3)).Add("layers.0.6.18.bn2.weight", LoadTensor(br, 256)).Add("layers.0.6.18.bn2.bias", LoadTensor(br, 256)).Add("layers.0.6.18.bn2.running_mean", LoadTensor(br, 256)).Add("layers.0.6.18.bn2.running_var", LoadTensor(br, 256)).Add("layers.0.6.18.conv3.weight", LoadTensor(br, 1024, 256, 1, 1)).Add("layers.0.6.18.bn3.weight", LoadTensor(br, 1024)).Add("layers.0.6.18.bn3.bias", LoadTensor(br, 1024)).Add("layers.0.6.18.bn3.running_mean", LoadTensor(br, 1024)).Add("layers.0.6.18.bn3.running_var", LoadTensor(br, 1024)).Add("layers.0.6.19.conv1.weight", LoadTensor(br, 256, 1024, 1, 1)).Add("layers.0.6.19.bn1.weight", LoadTensor(br, 256)).Add("layers.0.6.19.bn1.bias", LoadTensor(br, 256)).Add("layers.0.6.19.bn1.running_mean", LoadTensor(br, 256)).Add("layers.0.6.19.bn1.running_var", LoadTensor(br, 256)).Add("layers.0.6.19.conv2.weight", LoadTensor(br, 256, 256, 3, 3)).Add("layers.0.6.19.bn2.weight", LoadTensor(br, 256)).Add("layers.0.6.19.bn2.bias", LoadTensor(br, 256)).Add("layers.0.6.19.bn2.running_mean", LoadTensor(br, 256)).Add("layers.0.6.19.bn2.running_var", LoadTensor(br, 256)).Add("layers.0.6.19.conv3.weight", LoadTensor(br, 1024, 256, 1, 1)).Add("layers.0.6.19.bn3.weight", LoadTensor(br, 1024)).Add("layers.0.6.19.bn3.bias", LoadTensor(br, 1024)).Add("layers.0.6.19.bn3.running_mean", LoadTensor(br, 1024)).Add("layers.0.6.19.bn3.running_var", LoadTensor(br, 1024)).Add("layers.0.6.20.conv1.weight", LoadTensor(br, 256, 1024, 1, 1)).Add("layers.0.6.20.bn1.weight", LoadTensor(br, 256)).Add("layers.0.6.20.bn1.bias", LoadTensor(br, 256)).Add("layers.0.6.20.bn1.running_mean", LoadTensor(br, 256)).Add("layers.0.6.20.bn1.running_var", LoadTensor(br, 256)).Add("layers.0.6.20.conv2.weight", LoadTensor(br, 256, 256, 3, 3)).Add("layers.0.6.20.bn2.weight", LoadTensor(br, 256)).Add("layers.0.6.20.bn2.bias", LoadTensor(br, 256)).Add("layers.0.6.20.bn2.running_mean", LoadTensor(br, 256)).Add("layers.0.6.20.bn2.running_var", LoadTensor(br, 256)).Add("layers.0.6.20.conv3.weight", LoadTensor(br, 1024, 256, 1, 1)).Add("layers.0.6.20.bn3.weight", LoadTensor(br, 1024)).Add("layers.0.6.20.bn3.bias", LoadTensor(br, 1024)).Add("layers.0.6.20.bn3.running_mean", LoadTensor(br, 1024)).Add("layers.0.6.20.bn3.running_var", LoadTensor(br, 1024)).Add("layers.0.6.21.conv1.weight", LoadTensor(br, 256, 1024, 1, 1)).Add("layers.0.6.21.bn1.weight", LoadTensor(br, 256)).Add("layers.0.6.21.bn1.bias", LoadTensor(br, 256)).Add("layers.0.6.21.bn1.running_mean", LoadTensor(br, 256)).Add("layers.0.6.21.bn1.running_var", LoadTensor(br, 256)).Add("layers.0.6.21.conv2.weight", LoadTensor(br, 256, 256, 3, 3)).Add("layers.0.6.21.bn2.weight", LoadTensor(br, 256)).Add("layers.0.6.21.bn2.bias", LoadTensor(br, 256)).Add("layers.0.6.21.bn2.running_mean", LoadTensor(br, 256)).Add("layers.0.6.21.bn2.running_var", LoadTensor(br, 256)).Add("layers.0.6.21.conv3.weight", LoadTensor(br, 1024, 256, 1, 1)).Add("layers.0.6.21.bn3.weight", LoadTensor(br, 1024)).Add("layers.0.6.21.bn3.bias", LoadTensor(br, 1024)).Add("layers.0.6.21.bn3.running_mean", LoadTensor(br, 1024)).Add("layers.0.6.21.bn3.running_var", LoadTensor(br, 1024)).Add("layers.0.6.22.conv1.weight", LoadTensor(br, 256, 1024, 1, 1)).Add("layers.0.6.22.bn1.weight", LoadTensor(br, 256)).Add("layers.0.6.22.bn1.bias", LoadTensor(br, 256)).Add("layers.0.6.22.bn1.running_mean", LoadTensor(br, 256)).Add("layers.0.6.22.bn1.running_var", LoadTensor(br, 256)).Add("layers.0.6.22.conv2.weight", LoadTensor(br, 256, 256, 3, 3)).Add("layers.0.6.22.bn2.weight", LoadTensor(br, 256)).Add("layers.0.6.22.bn2.bias", LoadTensor(br, 256)).Add("layers.0.6.22.bn2.running_mean", LoadTensor(br, 256)).Add("layers.0.6.22.bn2.running_var", LoadTensor(br, 256)).Add("layers.0.6.22.conv3.weight", LoadTensor(br, 1024, 256, 1, 1)).Add("layers.0.6.22.bn3.weight", LoadTensor(br, 1024)).Add("layers.0.6.22.bn3.bias", LoadTensor(br, 1024)).Add("layers.0.6.22.bn3.running_mean", LoadTensor(br, 1024)).Add("layers.0.6.22.bn3.running_var", LoadTensor(br, 1024)).Add("layers.0.7.0.conv1.weight", LoadTensor(br, 512, 1024, 1, 1)).Add("layers.0.7.0.bn1.weight", LoadTensor(br, 512)).Add("layers.0.7.0.bn1.bias", LoadTensor(br, 512)).Add("layers.0.7.0.bn1.running_mean", LoadTensor(br, 512)).Add("layers.0.7.0.bn1.running_var", LoadTensor(br, 512)).Add("layers.0.7.0.conv2.weight", LoadTensor(br, 512, 512, 3, 3)).Add("layers.0.7.0.bn2.weight", LoadTensor(br, 512)).Add("layers.0.7.0.bn2.bias", LoadTensor(br, 512)).Add("layers.0.7.0.bn2.running_mean", LoadTensor(br, 512)).Add("layers.0.7.0.bn2.running_var", LoadTensor(br, 512)).Add("layers.0.7.0.conv3.weight", LoadTensor(br, 2048, 512, 1, 1)).Add("layers.0.7.0.bn3.weight", LoadTensor(br, 2048)).Add("layers.0.7.0.bn3.bias", LoadTensor(br, 2048)).Add("layers.0.7.0.bn3.running_mean", LoadTensor(br, 2048)).Add("layers.0.7.0.bn3.running_var", LoadTensor(br, 2048)).Add("layers.0.7.0.downsample.0.weight", LoadTensor(br, 2048, 1024, 1, 1)).Add("layers.0.7.0.downsample.1.weight", LoadTensor(br, 2048)).Add("layers.0.7.0.downsample.1.bias", LoadTensor(br, 2048)).Add("layers.0.7.0.downsample.1.running_mean", LoadTensor(br, 2048)).Add("layers.0.7.0.downsample.1.running_var", LoadTensor(br, 2048)).Add("layers.0.7.1.conv1.weight", LoadTensor(br, 512, 2048, 1, 1)).Add("layers.0.7.1.bn1.weight", LoadTensor(br, 512)).Add("layers.0.7.1.bn1.bias", LoadTensor(br, 512)).Add("layers.0.7.1.bn1.running_mean", LoadTensor(br, 512)).Add("layers.0.7.1.bn1.running_var", LoadTensor(br, 512)).Add("layers.0.7.1.conv2.weight", LoadTensor(br, 512, 512, 3, 3)).Add("layers.0.7.1.bn2.weight", LoadTensor(br, 512)).Add("layers.0.7.1.bn2.bias", LoadTensor(br, 512)).Add("layers.0.7.1.bn2.running_mean", LoadTensor(br, 512)).Add("layers.0.7.1.bn2.running_var", LoadTensor(br, 512)).Add("layers.0.7.1.conv3.weight", LoadTensor(br, 2048, 512, 1, 1)).Add("layers.0.7.1.bn3.weight", LoadTensor(br, 2048)).Add("layers.0.7.1.bn3.bias", LoadTensor(br, 2048)).Add("layers.0.7.1.bn3.running_mean", LoadTensor(br, 2048)).Add("layers.0.7.1.bn3.running_var", LoadTensor(br, 2048)).Add("layers.0.7.2.conv1.weight", LoadTensor(br, 512, 2048, 1, 1)).Add("layers.0.7.2.bn1.weight", LoadTensor(br, 512)).Add("layers.0.7.2.bn1.bias", LoadTensor(br, 512)).Add("layers.0.7.2.bn1.running_mean", LoadTensor(br, 512)).Add("layers.0.7.2.bn1.running_var", LoadTensor(br, 512)).Add("layers.0.7.2.conv2.weight", LoadTensor(br, 512, 512, 3, 3)).Add("layers.0.7.2.bn2.weight", LoadTensor(br, 512)).Add("layers.0.7.2.bn2.bias", LoadTensor(br, 512)).Add("layers.0.7.2.bn2.running_mean", LoadTensor(br, 512)).Add("layers.0.7.2.bn2.running_var", LoadTensor(br, 512)).Add("layers.0.7.2.conv3.weight", LoadTensor(br, 2048, 512, 1, 1)).Add("layers.0.7.2.bn3.weight", LoadTensor(br, 2048)).Add("layers.0.7.2.bn3.bias", LoadTensor(br, 2048)).Add("layers.0.7.2.bn3.running_mean", LoadTensor(br, 2048)).Add("layers.0.7.2.bn3.running_var", LoadTensor(br, 2048)).Add("layers.1.weight", LoadTensor(br, 2048)).Add("layers.1.bias", LoadTensor(br, 2048)).Add("layers.1.running_mean", LoadTensor(br, 2048)).Add("layers.1.running_var", LoadTensor(br, 2048)).Add("layers.3.0.0.weight", LoadTensor(br, 4096, 2048, 3, 3)).Add("layers.3.0.2.weight", LoadTensor(br, 4096)).Add("layers.3.0.2.bias", LoadTensor(br, 4096)).Add("layers.3.0.2.running_mean", LoadTensor(br, 4096)).Add("layers.3.0.2.running_var", LoadTensor(br, 4096)).Add("layers.3.1.0.weight", LoadTensor(br, 2048, 4096, 3, 3)).Add("layers.3.1.2.weight", LoadTensor(br, 2048)).Add("layers.3.1.2.bias", LoadTensor(br, 2048)).Add("layers.3.1.2.running_mean", LoadTensor(br, 2048)).Add("layers.3.1.2.running_var", LoadTensor(br, 2048)).Add("layers.4.shuf.conv.0.weight", LoadTensor(br, 2048, 2048, 1, 1)).Add("layers.4.shuf.conv.1.weight", LoadTensor(br, 2048)).Add("layers.4.shuf.conv.1.bias", LoadTensor(br, 2048)).Add("layers.4.shuf.conv.1.running_mean", LoadTensor(br, 2048)).Add("layers.4.shuf.conv.1.running_var", LoadTensor(br, 2048)).Add("layers.4.bn.weight", LoadTensor(br, 1024)).Add("layers.4.bn.bias", LoadTensor(br, 1024)).Add("layers.4.bn.running_mean", LoadTensor(br, 1024)).Add("layers.4.bn.running_var", LoadTensor(br, 1024)).Add("layers.4.conv.0.weight", LoadTensor(br, 512, 1536, 3, 3)).Add("layers.4.conv.2.weight", LoadTensor(br, 512)).Add("layers.4.conv.2.bias", LoadTensor(br, 512)).Add("layers.4.conv.2.running_mean", LoadTensor(br, 512)).Add("layers.4.conv.2.running_var", LoadTensor(br, 512)).Add("layers.5.shuf.conv.0.weight", LoadTensor(br, 2048, 512, 1, 1)).Add("layers.5.shuf.conv.1.weight", LoadTensor(br, 2048)).Add("layers.5.shuf.conv.1.bias", LoadTensor(br, 2048)).Add("layers.5.shuf.conv.1.running_mean", LoadTensor(br, 2048)).Add("layers.5.shuf.conv.1.running_var", LoadTensor(br, 2048)).Add("layers.5.bn.weight", LoadTensor(br, 512)).Add("layers.5.bn.bias", LoadTensor(br, 512)).Add("layers.5.bn.running_mean", LoadTensor(br, 512)).Add("layers.5.bn.running_var", LoadTensor(br, 512)).Add("layers.5.conv.0.weight", LoadTensor(br, 512, 1024, 3, 3)).Add("layers.5.conv.2.weight", LoadTensor(br, 512)).Add("layers.5.conv.2.bias", LoadTensor(br, 512)).Add("layers.5.conv.2.running_mean", LoadTensor(br, 512)).Add("layers.5.conv.2.running_var", LoadTensor(br, 512)).Add("layers.5.conv.3.gamma", LoadTensor(br, 1)).Add("layers.5.conv.3.query.weight", LoadTensor(br, 64, 512, 1, 1)).Add("layers.5.conv.3.key.weight", LoadTensor(br, 64, 512, 1, 1)).Add("layers.5.conv.3.value.weight", LoadTensor(br, 512, 512, 1, 1)).Add("layers.6.shuf.conv.0.weight", LoadTensor(br, 2048, 512, 1, 1)).Add("layers.6.shuf.conv.1.weight", LoadTensor(br, 2048)).Add("layers.6.shuf.conv.1.bias", LoadTensor(br, 2048)).Add("layers.6.shuf.conv.1.running_mean", LoadTensor(br, 2048)).Add("layers.6.shuf.conv.1.running_var", LoadTensor(br, 2048)).Add("layers.6.bn.weight", LoadTensor(br, 256)).Add("layers.6.bn.bias", LoadTensor(br, 256)).Add("layers.6.bn.running_mean", LoadTensor(br, 256)).Add("layers.6.bn.running_var", LoadTensor(br, 256)).Add("layers.6.conv.0.weight", LoadTensor(br, 512, 768, 3, 3)).Add("layers.6.conv.2.weight", LoadTensor(br, 512)).Add("layers.6.conv.2.bias", LoadTensor(br, 512)).Add("layers.6.conv.2.running_mean", LoadTensor(br, 512)).Add("layers.6.conv.2.running_var", LoadTensor(br, 512)).Add("layers.7.shuf.conv.0.weight", LoadTensor(br, 1024, 512, 1, 1)).Add("layers.7.shuf.conv.1.weight", LoadTensor(br, 1024)).Add("layers.7.shuf.conv.1.bias", LoadTensor(br, 1024)).Add("layers.7.shuf.conv.1.running_mean", LoadTensor(br, 1024)).Add("layers.7.shuf.conv.1.running_var", LoadTensor(br, 1024)).Add("layers.7.bn.weight", LoadTensor(br, 64)).Add("layers.7.bn.bias", LoadTensor(br, 64)).Add("layers.7.bn.running_mean", LoadTensor(br, 64)).Add("layers.7.bn.running_var", LoadTensor(br, 64)).Add("layers.7.conv.0.weight", LoadTensor(br, 256, 320, 3, 3)).Add("layers.7.conv.2.weight", LoadTensor(br, 256)).Add("layers.7.conv.2.bias", LoadTensor(br, 256)).Add("layers.7.conv.2.running_mean", LoadTensor(br, 256)).Add("layers.7.conv.2.running_var", LoadTensor(br, 256)).Add("layers.8.conv.0.bias", LoadTensor(br, 1024)).Add("layers.8.conv.0.weight", LoadTensor(br, 1024, 256, 1, 1)).Add("layers.10.layers.0.0.bias", LoadTensor(br, 259)).Add("layers.10.layers.0.0.weight", LoadTensor(br, 259, 259, 3, 3)).Add("layers.10.layers.1.0.bias", LoadTensor(br, 259)).Add("layers.10.layers.1.0.weight", LoadTensor(br, 259, 259, 3, 3)).Add("layers.11.0.bias", LoadTensor(br, 3)).Add("layers.11.0.weight", LoadTensor(br, 3, 259, 1, 1))End With
#End Region
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