mirror of
https://github.com/unanmed/ginka-generator.git
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36 lines
1.1 KiB
Python
36 lines
1.1 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 torch_geometric.nn import GATConv
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from torch_geometric.data import Data
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class MinamoTopoModel(nn.Module):
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def __init__(
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self, tile_types=32, emb_dim=128, hidden_dim=256, out_dim=512
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):
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super().__init__()
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# 传入 softmax 概率值，直接映射
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self.input_proj = nn.Sequential(
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spectral_norm(nn.Linear(tile_types, emb_dim)),
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nn.LeakyReLU(0.2)
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)
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# 图卷积层
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self.conv1 = GATConv(emb_dim, hidden_dim, heads=8)
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self.conv2 = GATConv(hidden_dim*8, hidden_dim, heads=8)
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self.conv3 = GATConv(hidden_dim*8, out_dim, heads=1)
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def forward(self, graph: Data):
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x = self.input_proj(graph.x)
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x = self.conv1(x, graph.edge_index)
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x = F.leaky_relu(x, 0.2)
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x = self.conv2(x, graph.edge_index)
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x = F.leaky_relu(x, 0.2)
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x = self.conv3(x, graph.edge_index)
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x = F.leaky_relu(x, 0.2)
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return x
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