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4787f4f2f9
* 增加RodNet必须支持训练的单元测试；RodNet的torch链路改造成全张量计算，由此把之前忽略的参数dz、h_coeff、offset变得可学习 * 了解到损失函数CrossEntropyLoss内置了softmax，因此从forward方法中移出；offset是手动指定的偏置值，不是学习得到的，因此也移出到单独的PostProcess方法中 * 根据得到的源码整理RodNet；新增在数据集上达到一定准确率的单元测试
16 lines
353 B
C#
16 lines
353 B
C#
using static TorchSharp.torch;
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namespace BetterGenshinImpact.GameTask.AutoFishing;
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public record RodInput
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{
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public double rod_x1;
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public double rod_x2;
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public double rod_y1;
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public double rod_y2;
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public double fish_x1;
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public double fish_x2;
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public double fish_y1;
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public double fish_y2;
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public int fish_label;
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} |