update latest packages

doc/Latest_Packages_CN.md

@@ -10,14 +10,15 @@ https://paddle-serving.bj.bcebos.com/test-dev/whl/paddle_serving_server-0.0.0-py
 ## GPU server
 ### Python 3
 ```
-#cuda10.1 with TensorRT 6, Compile by gcc8.2
+#cuda10.1 Cudnn 7 with TensorRT 6, Compile by gcc8.2
 https://paddle-serving.bj.bcebos.com/test-dev/whl/paddle_serving_server_gpu-0.0.0.post101-py3-none-any.whl
-#cuda10.2 with TensorRT 7, Compile by gcc8.2
+#cuda10.2 Cudnn 7 with TensorRT 6, Compile by gcc5.4
 https://paddle-serving.bj.bcebos.com/test-dev/whl/paddle_serving_server_gpu-0.0.0.post102-py3-none-any.whl
-#cuda11.0 with TensorRT 7 (beta), Compile by gcc8.2
-https://paddle-serving.bj.bcebos.com/test-dev/whl/paddle_serving_server_gpu-0.0.0.post11-py3-none-any.whl
+#cuda10.2 Cudnn 8 with TensorRT 7, Compile by gcc8.2
+https://paddle-serving.bj.bcebos.com/test-dev/whl/paddle_serving_server_gpu-0.0.0.post1028-py3-none-any.whl
+#cuda11.2 Cudnn 8 with TensorRT 8 (beta), Compile by gcc8.2
+https://paddle-serving.bj.bcebos.com/test-dev/whl/paddle_serving_server_gpu-0.0.0.post112-py3-none-any.whl
 ```
-**Tips:**  If you want to use CPU server and GPU server at the same time, you should check the gcc version,  only Cuda10.1/10.2/11 can run with CPU server owing to the same gcc version(8.2).
 
 ## Client
 
@@ -48,16 +49,16 @@ for kunlun user who uses arm-xpu or x86-xpu can download the wheel packages as f
 
 for arm kunlun user
 ```
-https://paddle-serving.bj.bcebos.com/whl/xpu/0.6.0/paddle_serving_server_xpu-0.6.0.post2-cp36-cp36m-linux_aarch64.whl
-https://paddle-serving.bj.bcebos.com/whl/xpu/0.6.0/paddle_serving_client-0.6.0-cp36-cp36m-linux_aarch64.whl
-https://paddle-serving.bj.bcebos.com/whl/xpu/0.6.0/paddle_serving_app-0.6.0-cp36-cp36m-linux_aarch64.whl
+https://paddle-serving.bj.bcebos.com/whl/xpu/0.7.0g/paddle_serving_server_xpu-0.7.0.post2-cp36-cp36m-linux_aarch64.whl
+https://paddle-serving.bj.bcebos.com/whl/xpu/0.7.0g/paddle_serving_client-0.7.0-cp36-cp36m-linux_aarch64.whl
+https://paddle-serving.bj.bcebos.com/whl/xpu/0.7.0g/paddle_serving_app-0.7.0-cp36-cp36m-linux_aarch64.whl
 ```
  
 for x86 kunlun user
 ``` 
-https://paddle-serving.bj.bcebos.com/whl/xpu/0.6.0/paddle_serving_server_xpu-0.6.0.post2-cp36-cp36m-linux_x86_64.whl
-https://paddle-serving.bj.bcebos.com/whl/xpu/0.6.0/paddle_serving_client-0.6.0-cp36-cp36m-linux_x86_64.whl
-https://paddle-serving.bj.bcebos.com/whl/xpu/0.6.0/paddle_serving_app-0.6.0-cp36-cp36m-linux_x86_64.whl
+https://paddle-serving.bj.bcebos.com/whl/xpu/0.7.0g/paddle_serving_server_xpu-0.7.0.post2-cp36-cp36m-linux_x86_64.whl
+https://paddle-serving.bj.bcebos.com/whl/xpu/0.7.0g/paddle_serving_client-0.7.0-cp36-cp36m-linux_x86_64.whl
+https://paddle-serving.bj.bcebos.com/whl/xpu/0.7.0g/paddle_serving_app-0.7.0-cp36-cp36m-linux_x86_64.whl
 ```
 
 
@@ -74,10 +75,12 @@ https://paddle-serving.bj.bcebos.com/test-dev/bin/serving-cpu-avx-openblas-0.0.0
 https://paddle-serving.bj.bcebos.com/test-dev/bin/serving-cpu-noavx-openblas-0.0.0.tar.gz
 # Cuda 10.1
 https://paddle-serving.bj.bcebos.com/test-dev/bin/serving-gpu-101-0.0.0.tar.gz
-# Cuda 10.2
+# Cuda 10.2 + Cudnn 7
 https://paddle-serving.bj.bcebos.com/test-dev/bin/serving-gpu-102-0.0.0.tar.gz
-# Cuda 11
-https://paddle-serving.bj.bcebos.com/test-dev/bin/serving-gpu-cuda11-0.0.0.tar.gz
+# Cuda 10.2 + Cudnn 8
+https://paddle-serving.bj.bcebos.com/test-dev/bin/serving-gpu-1028-0.0.0.tar.gz
+# Cuda 11.2
+https://paddle-serving.bj.bcebos.com/test-dev/bin/serving-gpu-cuda112-0.0.0.tar.gz
 ```
 
 #### How to setup SERVING_BIN offline?