From 6d8ff0ba088741c179a971b987e8a00e87ce6dd7 Mon Sep 17 00:00:00 2001
From: malin10 <malin10@baidu.com>
Date: Tue, 2 Jun 2020 14:19:28 +0800
Subject: [PATCH] bug fix

---
 models/recall/word2vec/model.py | 21 ---------------------
 1 file changed, 21 deletions(-)

diff --git a/models/recall/word2vec/model.py b/models/recall/word2vec/model.py
index 5822c90f..43417e60 100755
--- a/models/recall/word2vec/model.py
+++ b/models/recall/word2vec/model.py
@@ -186,27 +186,6 @@ class Model(ModelBase):
                 staircase=True))
         return optimizer
 
-    def analogy_input(self):
-        sparse_feature_number = envs.get_global_env(
-            "hyper_parameters.sparse_feature_number", None, self._namespace)
-        self.analogy_a = fluid.data(
-            name="analogy_a", shape=[None], dtype='int64')
-        self.analogy_b = fluid.data(
-            name="analogy_b", shape=[None], dtype='int64')
-        self.analogy_c = fluid.data(
-            name="analogy_c", shape=[None], dtype='int64')
-        self.analogy_d = fluid.data(
-            name="analogy_d", shape=[None], dtype='int64')
-        self._infer_data_var = [
-            self.analogy_a, self.analogy_b, self.analogy_c, self.analogy_d
-        ]
-
-        self._infer_data_loader = fluid.io.DataLoader.from_generator(
-            feed_list=self._infer_data_var,
-            capacity=64,
-            use_double_buffer=False,
-            iterable=False)
-
     def infer_net(self, inputs):
         def embedding_layer(input, table_name, initializer_instance=None):
             emb = fluid.embedding(
-- 
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