diff --git a/PaddleCV/gan/c_gan/c_gan.py b/PaddleCV/gan/c_gan/c_gan.py
index 53a79e3b2d05991bc44a88272ecbd5c3a2b20c43..4ab1d59a9b48656716eb635af5552da6b4661225 100644
--- a/PaddleCV/gan/c_gan/c_gan.py
+++ b/PaddleCV/gan/c_gan/c_gan.py
@@ -61,18 +61,18 @@ def train(args):
     dg_program = fluid.Program()
 
     with fluid.program_guard(d_program):
-        conditions = fluid.layers.data(
-            name='conditions', shape=[1], dtype='float32')
-        img = fluid.layers.data(name='img', shape=[784], dtype='float32')
-        label = fluid.layers.data(name='label', shape=[1], dtype='float32')
+        conditions = fluid.data(
+            name='conditions', shape=[None, 1], dtype='float32')
+        img = fluid.data(name='img', shape=[None, 784], dtype='float32')
+        label = fluid.data(name='label', shape=[None, 1], dtype='float32')
         d_logit = D_cond(img, conditions)
         d_loss = loss(d_logit, label)
 
     with fluid.program_guard(dg_program):
-        conditions = fluid.layers.data(
-            name='conditions', shape=[1], dtype='float32')
-        noise = fluid.layers.data(
-            name='noise', shape=[NOISE_SIZE], dtype='float32')
+        conditions = fluid.data(
+            name='conditions', shape=[None, 1], dtype='float32')
+        noise = fluid.data(
+            name='noise', shape=[None, NOISE_SIZE], dtype='float32')
         g_img = G_cond(z=noise, y=conditions)
 
         g_program = dg_program.clone()
diff --git a/PaddleCV/gan/c_gan/dc_gan.py b/PaddleCV/gan/c_gan/dc_gan.py
index 9ad42d4fe0b0a49c23af0d658962e2dadaa30aab..11520d48f2cd0b945e74bce61061724315d5647f 100644
--- a/PaddleCV/gan/c_gan/dc_gan.py
+++ b/PaddleCV/gan/c_gan/dc_gan.py
@@ -60,14 +60,14 @@ def train(args):
     dg_program = fluid.Program()
 
     with fluid.program_guard(d_program):
-        img = fluid.layers.data(name='img', shape=[784], dtype='float32')
-        label = fluid.layers.data(name='label', shape=[1], dtype='float32')
+        img = fluid.data(name='img', shape=[None, 784], dtype='float32')
+        label = fluid.data(name='label', shape=[None, 1], dtype='float32')
         d_logit = D(img)
         d_loss = loss(d_logit, label)
 
     with fluid.program_guard(dg_program):
-        noise = fluid.layers.data(
-            name='noise', shape=[NOISE_SIZE], dtype='float32')
+        noise = fluid.data(
+            name='noise', shape=[None, NOISE_SIZE], dtype='float32')
         g_img = G(x=noise)
 
         g_program = dg_program.clone()
diff --git a/PaddleCV/gan/network/base_network.py b/PaddleCV/gan/network/base_network.py
index 2aba0eb737190c5f968ad429da3a58442a0106aa..f856401e5594f45b69e4b85054ab27dd8d85cc83 100644
--- a/PaddleCV/gan/network/base_network.py
+++ b/PaddleCV/gan/network/base_network.py
@@ -508,9 +508,9 @@ def conv2d_with_filter(input,
                     groups mismatch.
     Examples:
         .. code-block:: python
-          data = fluid.layers.data(name='data', shape=[3, 32, 32], \
+          data = fluid.data(name='data', shape=[None, 3, 32, 32], \
                                   dtype='float32')
-          filter = fluid.layers.data(name='filter',shape=[10,3,3,3], \
+          filter = fluid.data(name='filter',shape=[None, 10, 3, 3, 3], \
                                     dtype='float32',append_batch_size=False)
           conv2d = fluid.layers.conv2d(input=data, 
                                        filter=filter,