change test file

tensnsorflow/train_multi.py

@@ -96,7 +96,6 @@ def model_fn(features, labels, mode, params):
     Feat_Emb = tf.get_variable(name='embeddings', shape=[feature_size, embedding_size], initializer=tf.glorot_normal_initializer())
 
     feat_ids = features['ids']
-    app_list = features['app_list']
     level2_list = features['level2_ids']
 
 
@@ -107,12 +106,11 @@ def model_fn(features, labels, mode, params):
     #------build f(x)------
     with tf.variable_scope("Shared-Embedding-layer"):
         embedding_id = tf.nn.embedding_lookup(Feat_Emb,feat_ids)
-        app_id = tf.nn.embedding_lookup_sparse(Feat_Emb, sp_ids=app_list, sp_weights=None, combiner="sum")
         level2 = tf.nn.embedding_lookup_sparse(Feat_Emb, sp_ids=level2_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,level2], axis=1)
+        x_concat = tf.concat([tf.reshape(embedding_id,shape=[-1,common_dims]),level2], axis=1)
 
     with tf.name_scope("CVR_Task"):
         if mode == tf.estimator.ModeKeys.TRAIN: