diff --git a/PaddleCV/ocr_recognition/README.md b/PaddleCV/ocr_recognition/README.md
index f6ad4c905bebcf2628ac751e2b9d7e5db902d8ed..60106e93b1d5d4b4081ffb37594cc2e56383010e 100644
--- a/PaddleCV/ocr_recognition/README.md
+++ b/PaddleCV/ocr_recognition/README.md
@@ -1,4 +1,4 @@
->注意：在paddle1.5版本上训练attention model有收敛问题，建议您暂时使用paddle1.4版本，后续我们会修复该问题。
+>注意：在paddle1.5版本上训练attention model有收敛问题，建议您暂时使用paddle1.4版本和models1.5分支，后续我们会修复该问题。
 
 ## 代码结构
 ```
diff --git a/PaddleCV/ocr_recognition/attention_model.py b/PaddleCV/ocr_recognition/attention_model.py
index 963d2168fd6ec4f53724573895344825c18558a3..6cbdd2b7944cb6a759e9b15d93ed62eae2214485 100755
--- a/PaddleCV/ocr_recognition/attention_model.py
+++ b/PaddleCV/ocr_recognition/attention_model.py
@@ -165,11 +165,11 @@ def gru_decoder_with_attention(target_embedding, encoder_vec, encoder_proj,
 
 def attention_train_net(args, data_shape, num_classes):
 
-    images = fluid.layers.data(name='pixel', shape=data_shape, dtype='float32')
-    label_in = fluid.layers.data(
-        name='label_in', shape=[1], dtype='int32', lod_level=1)
-    label_out = fluid.layers.data(
-        name='label_out', shape=[1], dtype='int32', lod_level=1)
+    images = fluid.data(name='pixel', shape=[None] + data_shape, dtype='float32')
+    label_in = fluid.data(
+        name='label_in', shape=[None, 1], dtype='int32', lod_level=1)
+    label_out = fluid.data(
+        name='label_out', shape=[None, 1], dtype='int32', lod_level=1)
 
     gru_backward, encoded_vector, encoded_proj = encoder_net(images)
 
@@ -264,10 +264,10 @@ def attention_infer(images, num_classes, use_cudnn=True):
     ids_array = fluid.layers.create_array('int64')
     scores_array = fluid.layers.create_array('float32')
 
-    init_ids = fluid.layers.data(
-        name="init_ids", shape=[1], dtype="int64", lod_level=2)
-    init_scores = fluid.layers.data(
-        name="init_scores", shape=[1], dtype="float32", lod_level=2)
+    init_ids = fluid.data(
+        name="init_ids", shape=[None, 1], dtype="int64", lod_level=2)
+    init_scores = fluid.data(
+        name="init_scores", shape=[None, 1], dtype="float32", lod_level=2)
 
     fluid.layers.array_write(init_ids, array=ids_array, i=counter)
     fluid.layers.array_write(init_scores, array=scores_array, i=counter)
@@ -349,11 +349,11 @@ def attention_infer(images, num_classes, use_cudnn=True):
 
 
 def attention_eval(data_shape, num_classes, use_cudnn=True):
-    images = fluid.layers.data(name='pixel', shape=data_shape, dtype='float32')
-    label_in = fluid.layers.data(
-        name='label_in', shape=[1], dtype='int32', lod_level=1)
-    label_out = fluid.layers.data(
-        name='label_out', shape=[1], dtype='int32', lod_level=1)
+    images = fluid.data(name='pixel', shape=[None] + data_shape, dtype='float32')
+    label_in = fluid.data(
+        name='label_in', shape=[None, 1], dtype='int32', lod_level=1)
+    label_out = fluid.data(
+        name='label_out', shape=[None, 1], dtype='int32', lod_level=1)
     label_out = fluid.layers.cast(x=label_out, dtype='int64')
     label_in = fluid.layers.cast(x=label_in, dtype='int64')
 
diff --git a/PaddleCV/ocr_recognition/crnn_ctc_model.py b/PaddleCV/ocr_recognition/crnn_ctc_model.py
index 178f329299104eed2c5c3d8b1c56a66f487f694a..0c3c517fa73eae7a32eb3e1bfcec2c4b6b279a85 100755
--- a/PaddleCV/ocr_recognition/crnn_ctc_model.py
+++ b/PaddleCV/ocr_recognition/crnn_ctc_model.py
@@ -190,9 +190,9 @@ def ctc_train_net(args, data_shape, num_classes):
     learning_rate_decay = None
     regularizer = fluid.regularizer.L2Decay(L2_RATE)
 
-    images = fluid.layers.data(name='pixel', shape=data_shape, dtype='float32')
-    label = fluid.layers.data(
-        name='label', shape=[1], dtype='int32', lod_level=1)
+    images = fluid.data(name='pixel', shape=[None] + data_shape, dtype='float32')
+    label = fluid.data(
+        name='label', shape=[None, 1], dtype='int32', lod_level=1)
     fc_out = encoder_net(
         images,
         num_classes,
diff --git a/PaddleCV/ocr_recognition/data_reader.py b/PaddleCV/ocr_recognition/data_reader.py
index f1b529391d9fb2ba8f2c43ce2257b29ac971374b..7c074abbae1390c678edbd180b9bf5815c1d3452 100644
--- a/PaddleCV/ocr_recognition/data_reader.py
+++ b/PaddleCV/ocr_recognition/data_reader.py
@@ -32,7 +32,7 @@ except NameError:
 SOS = 0
 EOS = 1
 NUM_CLASSES = 95
-DATA_SHAPE = [1, 48, 512]
+DATA_SHAPE = [1, 48, None]
 
 DATA_MD5 = "7256b1d5420d8c3e74815196e58cdad5"
 DATA_URL = "http://paddle-ocr-data.bj.bcebos.com/data.tar.gz"
diff --git a/PaddleCV/ocr_recognition/eval.py b/PaddleCV/ocr_recognition/eval.py
index c139331e3a313791ac3d8df70a5f8e35a4dded49..071c975cab9495be0acd9322b5531a792b1bb396 100644
--- a/PaddleCV/ocr_recognition/eval.py
+++ b/PaddleCV/ocr_recognition/eval.py
@@ -13,7 +13,7 @@
 # limitations under the License.
 import paddle.fluid as fluid
 from utility import add_arguments, print_arguments, to_lodtensor, get_ctc_feeder_data, get_attention_feeder_data
-from utility import check_gpu
+from utility import check_gpu, check_version
 from attention_model import attention_eval
 from crnn_ctc_model import ctc_eval
 import data_reader
@@ -85,6 +85,7 @@ def main():
     args = parser.parse_args()
     print_arguments(args)
     check_gpu(args.use_gpu)
+    check_version()
     evaluate(args)
 
 
diff --git a/PaddleCV/ocr_recognition/infer.py b/PaddleCV/ocr_recognition/infer.py
index 7b790b5226d61e88648710b83b53789350ba6652..06a2a09bcb97f1d105e01d149bac87d829dba09d 100755
--- a/PaddleCV/ocr_recognition/infer.py
+++ b/PaddleCV/ocr_recognition/infer.py
@@ -14,7 +14,7 @@
 from __future__ import print_function
 import paddle.fluid as fluid
 from utility import add_arguments, print_arguments, to_lodtensor, get_ctc_feeder_data, get_attention_feeder_for_infer, get_ctc_feeder_for_infer
-from utility import check_gpu
+from utility import check_gpu, check_version
 import paddle.fluid.profiler as profiler
 from crnn_ctc_model import ctc_infer
 from attention_model import attention_infer
@@ -153,6 +153,7 @@ def main():
     args = parser.parse_args()
     print_arguments(args)
     check_gpu(args.use_gpu)
+    check_version()
     if args.profile:
         if args.use_gpu:
             with profiler.cuda_profiler("cuda_profiler.txt", 'csv') as nvprof:
diff --git a/PaddleCV/ocr_recognition/train.py b/PaddleCV/ocr_recognition/train.py
index 3baf0535b71551a41105b45627cfd8395775e842..8e3c38ea97e3e5bfe7c12739c01e6cf28b636501 100755
--- a/PaddleCV/ocr_recognition/train.py
+++ b/PaddleCV/ocr_recognition/train.py
@@ -17,7 +17,7 @@ from __future__ import division
 from __future__ import print_function
 import paddle.fluid as fluid
 from utility import add_arguments, print_arguments, to_lodtensor, get_ctc_feeder_data, get_attention_feeder_data
-from utility import check_gpu
+from utility import check_gpu, check_version
 import paddle.fluid.profiler as profiler
 from crnn_ctc_model import ctc_train_net
 from attention_model import attention_train_net
@@ -230,6 +230,7 @@ def main():
     args = parser.parse_args()
     print_arguments(args)
     check_gpu(args.use_gpu)
+    check_version()
     if args.profile:
         if args.use_gpu:
             with profiler.cuda_profiler("cuda_profiler.txt", 'csv') as nvprof:
diff --git a/PaddleCV/ocr_recognition/utility.py b/PaddleCV/ocr_recognition/utility.py
index 3d548e246e7d3ff8e684fd92e413e7c5205c7c0b..dbe650bb962390bd5bc82839f49e0f8184ff994e 100755
--- a/PaddleCV/ocr_recognition/utility.py
+++ b/PaddleCV/ocr_recognition/utility.py
@@ -159,3 +159,18 @@ def check_gpu(use_gpu):
             sys.exit(1)
     except Exception as e:
         pass
+
+def check_version():
+    """
+    Log error and exit when the installed version of paddlepaddle is
+    not satisfied.
+    """
+    err = "PaddlePaddle version 1.6 or higher is required, " \
+          "or a suitable develop version is satisfied as well. \n" \
+          "Please make sure the version is good with your code." \
+
+    try:
+        fluid.require_version('1.6.0')
+    except Exception as e:
+        logger.error(err)
+        sys.exit(1)