fix:使用size()而不是shape来获取维度

brep2sdf/networks/encoder.py

@@ -192,13 +192,15 @@ class BRepFeatureEmbedder(nn.Module):
             vert_p: 顶点点 [B, K, 6]
             mask: 注意力掩码
         """
-        B, N, _, _ = surf_z.shape
-        _, M, _, _ = edge_z.shape
-        _, K, _ = vert_p.shape
+        # 获取批次大小和其他维度
+        B = surf_z.size(0)
+        N = surf_z.size(1)
+        M = edge_z.size(1)
+        K = vert_p.size(1)
         
         # 重塑点云数据用于1D编码器
-        surf_z = surf_z.reshape(B*N, 3, self.num_surf_points)  # [B*N, 3, num_surf_points]
-        edge_z = edge_z.reshape(B*M, 3, self.num_edge_points)  # [B*M, 3, num_edge_points]
+        surf_z = surf_z.reshape(B*N, self.num_surf_points, 3).transpose(1, 2)  # [B*N, 3, num_surf_points]
+        edge_z = edge_z.reshape(B*M, self.num_edge_points, 3).transpose(1, 2)  # [B*M, 3, num_edge_points]
         
         # 特征嵌入
         surf_embeds = self.surfz_embed(surf_z)  # [B*N, embed_dim, num_points]