often 5 months ago
parent
commit
3643232e79
1 changed files with 6 additions and 5 deletions
  1. 6 5
      recommend-model-produce/src/main/python/models/dssm/net.py

+ 6 - 5
recommend-model-produce/src/main/python/models/dssm/net.py

@@ -19,7 +19,8 @@ class DSSMLayer(nn.Layer):
         self.embedding_dim = embedding_dim
         self.output_dim = output_dim
         # 第一层的输入维度是所有特征的embedding拼接
-        self.hidden_layers = [self.tag_feature_num * embedding_dim + self.stat_features_num*3*embedding_dim] + hidden_layers + [output_dim]
+        self.input_features_num = self.tag_feature_num + self.stat_features_num*3
+        self.hidden_layers = [self.input_features_num*embedding_dim] + hidden_layers + [output_dim]
         self.hidden_acts = hidden_acts
         
         
@@ -201,7 +202,7 @@ class DSSMLayer(nn.Layer):
         left_embedded = self._process_features(left_features, self.left_embeddings)
         
         # left_vec = left_embedded
-        left_vec = paddle.reshape(left_embedded, [-1, self.tag_feature_num * self.embedding_dim])
+        left_vec = paddle.reshape(left_embedded, [-1, self.input_features_num * self.embedding_dim])
               
         for i, layer in enumerate(self._left_tower):
             left_vec = layer(left_vec)
@@ -216,7 +217,7 @@ class DSSMLayer(nn.Layer):
         # 处理右视频特征
         right_embedded = self._process_features(right_features, self.right_embeddings)
         # right_vec = right_embedded
-        right_vec = paddle.reshape(right_embedded, [-1, self.tag_feature_num * self.embedding_dim])  
+        right_vec = paddle.reshape(right_embedded, [-1, self.input_features_num * self.embedding_dim])  
 
         for layer in self._right_tower:
             right_vec = layer(right_vec)
@@ -239,7 +240,7 @@ class DSSMLayer(nn.Layer):
         left_embedded = self._process_features(left_features, self.left_embeddings)
         
         # left_vec = left_embedded
-        left_vec = paddle.reshape(left_embedded, [-1, self.tag_feature_num * self.embedding_dim])
+        left_vec = paddle.reshape(left_embedded, [-1, self.input_features_num * self.embedding_dim])
         
         for i, layer in enumerate(self._left_tower):
             left_vec = layer(left_vec)
@@ -248,7 +249,7 @@ class DSSMLayer(nn.Layer):
         # 处理右视频特征
         right_embedded = self._process_features(right_features, self.left_embeddings)
         # right_vec = right_embedded
-        right_vec = paddle.reshape(right_embedded, [-1, self.tag_feature_num * self.embedding_dim])  
+        right_vec = paddle.reshape(right_embedded, [-1, self.input_features_num * self.embedding_dim])  
 
         for layer in self._left_tower:
             right_vec = layer(right_vec)