improve kunlun readme

docs/zh_CN/fastdeploy/README.md

@@ -30,7 +30,7 @@
 |Intel GPU(集成显卡)|✅|[链接](./cpu-gpu)|✅|✅|  
 |Intel GPU(独立显卡)|✅|[链接](./cpu-gpu)|✅|✅|
 |Graphcore IPU|✅|[链接](./graphcore)|✅|✅|
-|昆仑|✅|[链接](./kunlun)|✅|✅|
+|昆仑|✅|[链接](./kunlunxin)|✅|✅|
 |昇腾|✅|[链接](./ascend)|✅|✅|
 |瑞芯微|✅|[链接](./rockchip)|✅|✅|  
 |晶晨|✅|[链接](./amlogic)|--|✅|✅|  
@@ -63,9 +63,9 @@
   - [Python部署示例](./graphcore/python/)
   - [C++部署示例](./graphcore/cpp/)
 - 昆仑 XPU
-  - [部署模型准备](./kunlun)  
-  - [Python部署示例](./kunlun/python/)
-  - [C++部署示例](./kunlun/cpp/)
+  - [部署模型准备](./kunlunxin)  
+  - [Python部署示例](./kunlunxin/python/)
+  - [C++部署示例](./kunlunxin/cpp/)
 - 昇腾 Ascend
   - [部署模型准备](./ascend)  
   - [Python部署示例](./ascend/python/)

docs/zh_CN/fastdeploy/quantize/README.md

@@ -36,7 +36,7 @@ FastDeploy 部署量化模型与部署FP32模型完全一致, 用户只需要将
 |ARM CPU|✅|[链接](cpu-gpu)|✅|✅|
 |Intel GPU(集成显卡)|✅|[链接](cpu-gpu)|✅|✅|  
 |Intel GPU(独立显卡)|✅|[链接](cpu-gpu)|✅|✅|  
-|昆仑|✅|[链接](kunlun)|✅|✅|
+|昆仑|✅|[链接](kunlunxin)|✅|✅|
 |昇腾|✅|[链接](ascend)|✅|✅|
 |瑞芯微|✅|[链接](rockchip)|✅|✅|  
 |晶晨|✅|[链接](amlogic)|--|✅|