Merge branch 'master' of https://github.com/PaddlePaddle/X2Paddle

TensorFlow2Paddle/README.md

 ### Warning: TensorFlow2Paddle is not stable yet. Only tested on vgg_16/resnet_v1_50/inception_v3 with is_training=False
 
-Demo: How to change tensorflow resnet_v1_50 pretrained model to PaddlePaddle model for inference
-1. Get pretrained_model
+#### Demo: How to change tensorflow resnet_v1_50 pretrained model to PaddlePaddle model for inference
+##### 1. Get pretrained_model
 
 ```
 git clone https://github.com/PaddlePaddle/X2Paddle.git
@@ -10,20 +10,20 @@ wget http://download.tensorflow.org/models/resnet_v1_50_2016_08_28.tar.gz
 tar xzvf resnet_v2_50_2017_04_14.tar.gz
 ```
 
-2. Change model to ckpt model with meta file
+##### 2. Change model to ckpt model with meta file
 
 
 ```
 python demo/save_resnet_ckpt_model.py resnet_v1_50.ckpt ./new_ckpt_model
 ```
 
-3. Export PaddlePaddle model
+##### 3. Export PaddlePaddle model
 
 ```
 python demo/export_resnet_to_paddle_model.py new_ckpt_model/resnet.meta new_ckpt_model fluid_model
 ```
 
-4. Test PaddlePaddle model
+##### 4. Test PaddlePaddle model
 ```python 
 from fluid_model.mymodel import KitModel
 import paddle.fluid as fluid
@@ -39,7 +39,7 @@ for f in os.listdir('./fluid_model'):
     f = f.split('/fluid')[-1]
     if f.startswith("param_"):
         var_list.append(fluid.default_main_program().global_block().var(f))
-fluid.io.load_vars(exe, './fluid', vars=var_list)
+fluid.io.load_vars(exe, './fluid_model', vars=var_list)
 
 test_data = numpy.random.rand(1, 3, 224, 224)
 test_data = numpy.array(test_data, dtype='float32')
@@ -48,3 +48,6 @@ result = exe.run(fluid.default_main_program(),
       fetch_list=[result])
 print(result)
 ```
+
+### Link
+[MMdnn-Tensorflow](https://github.com/Microsoft/MMdnn/tree/master/mmdnn/conversion/tensorflow)