mirror of
https://github.com/unanmed/ginka-generator.git
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43 lines
1.4 KiB
Python
43 lines
1.4 KiB
Python
import torch
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import torch.nn as nn
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import torch.nn.functional as F
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from torch.nn.utils import spectral_norm
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from .vision import MinamoVisionModel
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from .topo import MinamoTopoModel
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from shared.constant import VISION_WEIGHT, TOPO_WEIGHT
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class MinamoModel(nn.Module):
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def __init__(self, tile_types=32):
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super().__init__()
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# 视觉相似度部分
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self.vision_model = MinamoVisionModel(tile_types)
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# 拓扑相似度部分
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self.topo_model = MinamoTopoModel(tile_types)
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def forward(self, map, graph):
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vision_feat = self.vision_model(map)
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topo_feat = self.topo_model(graph)
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return vision_feat, topo_feat
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class MinamoScoreModule(nn.Module):
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def __init__(self, tile_types=32):
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super().__init__()
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self.topo_model = MinamoTopoModel(tile_types)
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self.vision_model = MinamoVisionModel(tile_types)
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# 输出层
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self.topo_fc = nn.Sequential(
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spectral_norm(nn.Linear(512, 1)),
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)
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self.vision_fc = nn.Sequential(
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spectral_norm(nn.Linear(512, 1)),
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)
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def forward(self, map, graph):
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topo_feat = self.topo_model(graph)
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topo_score = self.topo_fc(topo_feat)
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vision_feat = self.vision_model(map)
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vision_score = self.vision_fc(vision_feat)
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score = VISION_WEIGHT * vision_score + TOPO_WEIGHT * topo_score
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return score, vision_score, topo_score
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