fix bug

recommend-model-produce/src/main/python/models/dssm/net.py

@@ -91,7 +91,7 @@ class DSSMLayer(nn.Layer):
             )
             feature = paddle.cast(feature, dtype='int64')
             embedded = embeddings[i](feature)
-            paddle.static.Print(embedded, message="lqc debug _process_features embedded {i}:")
+
             embedded_features.append(embedded)
         
         # 将所有embedding连接起来
@@ -101,7 +101,8 @@ class DSSMLayer(nn.Layer):
     def forward(self, left_features, right_features):
         # 获取两个视频的特征表示
         left_vec, right_vec = self.get_vectors(left_features, right_features)
-        
+        paddle.static.Print(left_vec, message="lqc left model output shape:")
+        paddle.static.Print(right_vec, message="lqc right model output shape:")
         # 计算相似度
         sim_score = F.cosine_similarity(
             left_vec, 
@@ -116,7 +117,7 @@ class DSSMLayer(nn.Layer):
         # 处理左视频特征
         
         left_embedded = self._process_features(left_features, self.left_embeddings)
-        paddle.static.Print(left_embedded, message="lqc left_embedded shape:")
+        
         # left_vec = left_embedded
         left_vec = paddle.reshape(left_embedded, [-1, self.feature_num * self.embedding_dim])