diff --git a/doc/fluid/user_guides/cv_case/gan/README.cn.md b/doc/fluid/user_guides/cv_case/gan/README.cn.md
index 6f79771aead7b8a53255d821f92ef5575e1d2628..40e378c0eb5af72bda915cc7a1467d2bea66ba88 100644
--- a/doc/fluid/user_guides/cv_case/gan/README.cn.md
+++ b/doc/fluid/user_guides/cv_case/gan/README.cn.md
@@ -312,8 +312,8 @@ batch是一个特殊的decorator，它的输入是一个reader，输出是一个
 ```python
 batch_size = 128   # Minibatch size
 
-train_reader = paddle.batch(
-    paddle.reader.shuffle(
+train_reader = fluid.io.batch(
+    fluid.io.shuffle(
         paddle.dataset.mnist.train(), buf_size=60000),
     batch_size=batch_size)
 ```
diff --git a/doc/fluid/user_guides/cv_case/gan/README.md b/doc/fluid/user_guides/cv_case/gan/README.md
index b381dd084685ad912ae443ab8d00d05dd61a5898..b23f1589526b53023e52f70f3e05f4fdb872212b 100644
--- a/doc/fluid/user_guides/cv_case/gan/README.md
+++ b/doc/fluid/user_guides/cv_case/gan/README.md
@@ -311,8 +311,8 @@ Batch is a special decorator. Its input is a reader and its output is a batched
 ```python
 batch_size = 128   # Minibatch size
 
-train_reader = paddle.batch(
-    paddle.reader.shuffle(
+train_reader = fluid.io.batch(
+    fluid.io.shuffle(
         paddle.dataset.mnist.train(), buf_size=60000),
     batch_size=batch_size)
 ```
diff --git a/doc/fluid/user_guides/cv_case/gan/dc_gan.py b/doc/fluid/user_guides/cv_case/gan/dc_gan.py
index b5821c15b1967f8ada49e29066e0591c8aec211a..650897a2803cacc4fb31f339f8fb7958a52359ff 100644
--- a/doc/fluid/user_guides/cv_case/gan/dc_gan.py
+++ b/doc/fluid/user_guides/cv_case/gan/dc_gan.py
@@ -93,13 +93,12 @@ def train(args):
         exe = fluid.Executor(fluid.CUDAPlace(0))
     exe.run(fluid.default_startup_program())
     if args.enable_ce:
-        train_reader = paddle.batch(
+        train_reader = fluid.io.batch(
             paddle.dataset.mnist.train(), batch_size=args.batch_size)
     else:
 
-        train_reader = paddle.batch(
-            paddle.reader.shuffle(
-                paddle.dataset.mnist.train(), buf_size=60000),
+        train_reader = fluid.io.batch(
+            fluid.io.shuffle(paddle.dataset.mnist.train(), buf_size=60000),
             batch_size=args.batch_size)
 
     NUM_TRAIN_TIMES_OF_DG = 2
diff --git a/doc/fluid/user_guides/cv_case/gan/index.cn.html b/doc/fluid/user_guides/cv_case/gan/index.cn.html
index 3b3cf0c5aaf659d20d271f2dbfe26d11c5599c0c..625073db5f907b674747138fef927dfa073c93a2 100644
--- a/doc/fluid/user_guides/cv_case/gan/index.cn.html
+++ b/doc/fluid/user_guides/cv_case/gan/index.cn.html
@@ -354,8 +354,8 @@ batch是一个特殊的decorator，它的输入是一个reader，输出是一个
 ```python
 batch_size = 128   # Minibatch size
 
-train_reader = paddle.batch(
-    paddle.reader.shuffle(
+train_reader = fluid.io.batch(
+    fluid.io.shuffle(
         paddle.dataset.mnist.train(), buf_size=60000),
     batch_size=batch_size)
 ```
diff --git a/doc/fluid/user_guides/cv_case/gan/index.html b/doc/fluid/user_guides/cv_case/gan/index.html
index a8de626e97a596e6a535a7afaf33ce82fd68c3ef..f04971c70cf9e3a9a240877d13540b64484e5a74 100644
--- a/doc/fluid/user_guides/cv_case/gan/index.html
+++ b/doc/fluid/user_guides/cv_case/gan/index.html
@@ -353,8 +353,8 @@ Batch is a special decorator. Its input is a reader and its output is a batched
 ```python
 batch_size = 128   # Minibatch size
 
-train_reader = paddle.batch(
-    paddle.reader.shuffle(
+train_reader = fluid.io.batch(
+    fluid.io.shuffle(
         paddle.dataset.mnist.train(), buf_size=60000),
     batch_size=batch_size)
 ```
diff --git a/doc/fluid/user_guides/simple_case/fit_a_line/README.cn.md b/doc/fluid/user_guides/simple_case/fit_a_line/README.cn.md
index 69cc494df6608d9e1026efbe618e532b18fba8f3..eb5b8c3446b97dae8fbe3e7879140216513a1120 100644
--- a/doc/fluid/user_guides/simple_case/fit_a_line/README.cn.md
+++ b/doc/fluid/user_guides/simple_case/fit_a_line/README.cn.md
@@ -143,13 +143,13 @@ import sys
 ```python
 BATCH_SIZE = 20
 
-train_reader = paddle.batch(
-    paddle.reader.shuffle(
+train_reader = fluid.io.batch(
+    fluid.io.shuffle(
         paddle.dataset.uci_housing.train(), buf_size=500),
         batch_size=BATCH_SIZE)
 
-test_reader = paddle.batch(
-    paddle.reader.shuffle(
+test_reader = fluid.io.batch(
+    fluid.io.shuffle(
         paddle.dataset.uci_housing.test(), buf_size=500),
         batch_size=BATCH_SIZE)
 ```
@@ -179,13 +179,13 @@ def reader_creator(train_data):
             yield d[:-1], d[-1:]  
     return reader
 
-train_reader = paddle.batch(
-    paddle.reader.shuffle(
+train_reader = fluid.io.batch(
+    fluid.io.shuffle(
         reader_creator(train_data), buf_size=500),
         batch_size=BATCH_SIZE)
 
-test_reader = paddle.batch(
-    paddle.reader.shuffle(
+test_reader = fluid.io.batch(
+    fluid.io.shuffle(
         reader_creator(test_data), buf_size=500),
         batch_size=BATCH_SIZE)
 ```
@@ -349,7 +349,7 @@ with fluid.scope_guard(inference_scope):
      fetch_targets] = fluid.io.load_inference_model(params_dirname, infer_exe) # 载入预训练模型
     batch_size = 10
 
-    infer_reader = paddle.batch(
+    infer_reader = fluid.io.batch(
         paddle.dataset.uci_housing.test(), batch_size=batch_size) # 准备测试集
 
     infer_data = next(infer_reader())
diff --git a/doc/fluid/user_guides/simple_case/fit_a_line/README.md b/doc/fluid/user_guides/simple_case/fit_a_line/README.md
index 8760bbf0c6ac488f183a3adedb7bf6cde4058942..2bc2b24c4d8fa3a4bff0ff29d8fb02f4437e8e95 100644
--- a/doc/fluid/user_guides/simple_case/fit_a_line/README.md
+++ b/doc/fluid/user_guides/simple_case/fit_a_line/README.md
@@ -145,13 +145,13 @@ Next we define the data feeder for training. The data feeder reads a batch of da
 ```python
 BATCH_SIZE = 20
 
-train_reader = paddle.batch(
-    paddle.reader.shuffle(
+train_reader = fluid.io.batch(
+    fluid.io.shuffle(
         paddle.dataset.uci_housing.train(), buf_size=500),
         batch_size=BATCH_SIZE)
 
-test_reader = paddle.batch(
-    paddle.reader.shuffle(
+test_reader = fluid.io.batch(
+    fluid.io.shuffle(
         paddle.dataset.uci_housing.test(), buf_size=500),
         batch_size=BATCH_SIZE)
 ```
@@ -181,13 +181,13 @@ def reader_creator(train_data):
             yield d[:-1], d[-1:]  
     return reader
 
-train_reader = paddle.batch(
-    paddle.reader.shuffle(
+train_reader = fluid.io.batch(
+    fluid.io.shuffle(
         reader_creator(train_data), buf_size=500),
         batch_size=BATCH_SIZE)
 
-test_reader = paddle.batch(
-    paddle.reader.shuffle(
+test_reader = fluid.io.batch(
+    fluid.io.shuffle(
         reader_creator(test_data), buf_size=500),
         batch_size=BATCH_SIZE)
 ```
@@ -351,7 +351,7 @@ with fluid.scope_guard(inference_scope):
      fetch_targets] = fluid.io.load_inference_model(params_dirname, infer_exe) # load pre-predict model
     batch_size = 10
 
-    infer_reader = paddle.batch(
+    infer_reader = fluid.io.batch(
         paddle.dataset.uci_housing.test(), batch_size=batch_size) # prepare test dataset
 
     infer_data = next(infer_reader())
diff --git a/doc/fluid/user_guides/simple_case/fit_a_line/index.cn.html b/doc/fluid/user_guides/simple_case/fit_a_line/index.cn.html
index e47cda5f7e74d4e41d0d341fab126712dc78434a..02117e6d41fdcfdae5262cba59f2b8d1ee92a79d 100644
--- a/doc/fluid/user_guides/simple_case/fit_a_line/index.cn.html
+++ b/doc/fluid/user_guides/simple_case/fit_a_line/index.cn.html
@@ -185,13 +185,13 @@ import sys
 ```python
 BATCH_SIZE = 20
 
-train_reader = paddle.batch(
-    paddle.reader.shuffle(
+train_reader = fluid.io.batch(
+    fluid.io.shuffle(
         paddle.dataset.uci_housing.train(), buf_size=500),
         batch_size=BATCH_SIZE)
 
-test_reader = paddle.batch(
-    paddle.reader.shuffle(
+test_reader = fluid.io.batch(
+    fluid.io.shuffle(
         paddle.dataset.uci_housing.test(), buf_size=500),
         batch_size=BATCH_SIZE)
 ```
@@ -221,13 +221,13 @@ def reader_creator(train_data):
             yield d[:-1], d[-1:]  
     return reader
 
-train_reader = paddle.batch(
-    paddle.reader.shuffle(
+train_reader = fluid.io.batch(
+    fluid.io.shuffle(
         reader_creator(train_data), buf_size=500),
         batch_size=BATCH_SIZE)
 
-test_reader = paddle.batch(
-    paddle.reader.shuffle(
+test_reader = fluid.io.batch(
+    fluid.io.shuffle(
         reader_creator(test_data), buf_size=500),
         batch_size=BATCH_SIZE)
 ```
@@ -391,7 +391,7 @@ with fluid.scope_guard(inference_scope):
      fetch_targets] = fluid.io.load_inference_model(params_dirname, infer_exe) # 载入预训练模型
     batch_size = 10
 
-    infer_reader = paddle.batch(
+    infer_reader = fluid.io.batch(
         paddle.dataset.uci_housing.test(), batch_size=batch_size) # 准备测试集
 
     infer_data = next(infer_reader())
diff --git a/doc/fluid/user_guides/simple_case/fit_a_line/index.html b/doc/fluid/user_guides/simple_case/fit_a_line/index.html
index 70e7b0eab98652434f4e030e7888d07290176ef3..3496bd7c54d28fa5c96a6e197bec906548698dee 100644
--- a/doc/fluid/user_guides/simple_case/fit_a_line/index.html
+++ b/doc/fluid/user_guides/simple_case/fit_a_line/index.html
@@ -187,13 +187,13 @@ Next we define the data feeder for training. The data feeder reads a batch of da
 ```python
 BATCH_SIZE = 20
 
-train_reader = paddle.batch(
-    paddle.reader.shuffle(
+train_reader = fluid.io.batch(
+    fluid.io.shuffle(
         paddle.dataset.uci_housing.train(), buf_size=500),
         batch_size=BATCH_SIZE)
 
-test_reader = paddle.batch(
-    paddle.reader.shuffle(
+test_reader = fluid.io.batch(
+    fluid.io.shuffle(
         paddle.dataset.uci_housing.test(), buf_size=500),
         batch_size=BATCH_SIZE)
 ```
@@ -223,13 +223,13 @@ def reader_creator(train_data):
             yield d[:-1], d[-1:]  
     return reader
 
-train_reader = paddle.batch(
-    paddle.reader.shuffle(
+train_reader = fluid.io.batch(
+    fluid.io.shuffle(
         reader_creator(train_data), buf_size=500),
         batch_size=BATCH_SIZE)
 
-test_reader = paddle.batch(
-    paddle.reader.shuffle(
+test_reader = fluid.io.batch(
+    fluid.io.shuffle(
         reader_creator(test_data), buf_size=500),
         batch_size=BATCH_SIZE)
 ```
@@ -393,7 +393,7 @@ with fluid.scope_guard(inference_scope):
      fetch_targets] = fluid.io.load_inference_model(params_dirname, infer_exe) # load pre-predict model
     batch_size = 10
 
-    infer_reader = paddle.batch(
+    infer_reader = fluid.io.batch(
         paddle.dataset.uci_housing.test(), batch_size=batch_size) # prepare test dataset
 
     infer_data = next(infer_reader())
diff --git a/doc/fluid/user_guides/simple_case/fit_a_line/train.py b/doc/fluid/user_guides/simple_case/fit_a_line/train.py
index 41dde8b852a01233f2d2bcc695344b3620a39e18..20fe8592da09af8b339df492622c536fde66e1ce 100644
--- a/doc/fluid/user_guides/simple_case/fit_a_line/train.py
+++ b/doc/fluid/user_guides/simple_case/fit_a_line/train.py
@@ -74,18 +74,16 @@ def main():
     batch_size = 20
 
     if args.enable_ce:
-        train_reader = paddle.batch(
+        train_reader = fluid.io.batch(
             paddle.dataset.uci_housing.train(), batch_size=batch_size)
-        test_reader = paddle.batch(
+        test_reader = fluid.io.batch(
             paddle.dataset.uci_housing.test(), batch_size=batch_size)
     else:
-        train_reader = paddle.batch(
-            paddle.reader.shuffle(
-                paddle.dataset.uci_housing.train(), buf_size=500),
+        train_reader = fluid.io.batch(
+            fluid.io.shuffle(paddle.dataset.uci_housing.train(), buf_size=500),
             batch_size=batch_size)
-        test_reader = paddle.batch(
-            paddle.reader.shuffle(
-                paddle.dataset.uci_housing.test(), buf_size=500),
+        test_reader = fluid.io.batch(
+            fluid.io.shuffle(paddle.dataset.uci_housing.test(), buf_size=500),
             batch_size=batch_size)
 
     # feature vector of length 13
@@ -172,7 +170,7 @@ def main():
          ] = fluid.io.load_inference_model(params_dirname, infer_exe)
         batch_size = 10
 
-        infer_reader = paddle.batch(
+        infer_reader = fluid.io.batch(
             paddle.dataset.uci_housing.test(), batch_size=batch_size)
 
         infer_data = next(infer_reader())