feat: rotate board on evaluation

go_ia/main.py

@@ -56,7 +56,23 @@ class GoModel(nn.Module):
         )
 
     def forward(self, x):
-        return self.net(x)
+        if self.training: 
+            return self.net(x)
+        else:
+            y = self.net(x)
+            batch_size = x.size(0)
+
+            x_rotated = torch.stack([torch.rot90(x, k=k, dims=[2, 3]) for k in range(4)], dim=1) # x_rotated: [batch_size, 4, 3, 8, 8]
+            x_rotated = x_rotated.view(-1, 3, 8, 8)  # [batch_size*4, 3, 8, 8]
+
+            with torch.no_grad():
+                y_rotated = self.net(x_rotated)  # [batch_size*4, 1]
+
+            # Reshape to get them by rotation
+            y_rotated = y_rotated.view(batch_size, 4, -1)  # [batch_size, 4, 1]
+            y_mean = y_rotated.mean(dim=1)       # [batch_size, 1]
+
+            return y_mean
 
 
 class GoDataset(Dataset):