预测集增加应用列表特征

tensnsorflow/es/train.py

@@ -112,7 +112,7 @@ def model_fn(features, labels, mode, params):
         app_id = tf.nn.embedding_lookup_sparse(Feat_Emb, sp_ids=app_list, sp_weights=None, combiner="sum")
 
         # x_concat = tf.reshape(embedding_id,shape=[-1, common_dims])  # None * (F * K)
-        x_concat = tf.concat([tf.reshape(embedding_id, shape=[-1, common_dims]),app_id], axis=1)
+        x_concat = tf.concat([embedding_id,app_id], axis=1)
 
     with tf.name_scope("CVR_Task"):
         if mode == tf.estimator.ModeKeys.TRAIN: