test features

eda/esmm/Model_pipline/train.py

@@ -132,7 +132,7 @@ def model_fn(features, labels, mode, params):
     tag5_list = features['tag5_list']
     tag6_list = features['tag6_list']
     tag7_list = features['tag7_list']
-    sample_id = features['number']
+    number = features['number']
 
     if FLAGS.task_type != "infer":
         y = labels['y']
@@ -156,6 +156,8 @@ def model_fn(features, labels, mode, params):
         x_concat = tf.concat([tf.reshape(embedding_id, shape=[-1, common_dims]), app_id, level2, level3, tag1,
                               tag2, tag3, tag4, tag5, tag6, tag7], axis=1)
 
+        sample_id = tf.sparse.to_dense(number)
+
     with tf.name_scope("CVR_Task"):
         if mode == tf.estimator.ModeKeys.TRAIN:
             train_phase = True