Fix typos.

README_CH.md

@@ -3,7 +3,7 @@
 
 ## 简介
 
-TNN：由腾讯优图实验室开源的高性能、轻量级神经网络推理框架，同时拥有跨平台、高性能、模型压缩、代码裁剪等众多突出优势。TNN框架在原有Rapidnet、ncnn框架的基础上进一步加强了移动端设备的支持以及性能优化，同时借鉴了业界主流开源框架高性能和良好拓展性的特性，拓展了对于后台X86, NV GPU的支持。手机端 TNN已经在手Q、微视、P图等众多应用中落地，服务端TNN作为腾讯云AI基础加速框架已为众多业务落地提供加速支持。欢迎大家参与协同共建，促进TNN推理框架进一步完善。
+TNN：由腾讯优图实验室开源的高性能、轻量级神经网络推理框架，同时拥有跨平台、高性能、模型压缩、代码裁剪等众多突出优势。TNN框架在原有Rapidnet、ncnn框架的基础上进一步加强了移动端设备的支持以及性能优化，同时借鉴了业界主流开源框架高性能和良好拓展性的特性，拓展了对于后台X86, NV GPU的支持。手机端 TNN已经在手机QQ、微视、P图等众多应用中落地，服务端TNN作为腾讯云AI基础加速框架已为众多业务落地提供加速支持。欢迎大家参与协同共建，促进TNN推理框架进一步完善。
 
 
 ## 效果示例
@@ -43,7 +43,7 @@ demo
 3. 最后一步就是使用编译好的 TNN 引擎进行推理，你可以在自己的应用程序中嵌入对 TNN 的调用，这方面我们提供了丰富而详实的 demo 来帮助你完成。
     *  [从0开始跑通一个iOS Demo](doc/cn/user/demo.md)
     *  [从0开始跑通一个Android Demo](doc/cn/user/demo.md)
-    *  [从0开始跑通一个Windows/Linux Demo](doc/cn/user/demo.md#四)
+    *  [从0开始跑通一个Windows/Linux Demo](doc/cn/user/demo.md)
 
 ## 技术方案
 

examples/android/demo/src/main/java/com/tencent/tnn/demo/ReadingComprehension/ReadingComprehensionFragment.java

@@ -40,7 +40,7 @@ public class ReadingComprehensionFragment extends BaseFragment {
 
     private boolean mUseGPU = false;
 
-    String material1 = "TNN: A high-performance, lightweight neural network inference framework open sourced by Tencent Youtu Lab. It also has many outstanding advantages such as cross-platform, high performance, model compression, and code tailoring. The TNN framework further strengthens the support and performance optimization of mobile devices on the basis of the original Rapidnet and ncnn frameworks. At the same time, it refers to the high performance and good scalability characteristics of the industry's mainstream open source frameworks, and expands the support for X86 and NV GPUs. On the mobile phone, TNN has been used by many applications such as mobile QQ, weishi, and Pitu. As a basic acceleration framework for Tencent Cloud AI, TNN has provided acceleration support for the implementation of many businesses. Everyone is welcome to participate in the collaborative construction to promote the further improvement of the TNN reasoning framework.";
+    String material1 = "TNN: A high-performance, lightweight neural network inference framework open sourced by Tencent Youtu Lab. It also has many outstanding advantages such as cross-platform, high performance, model compression, and code tailoring. The TNN framework further strengthens the support and performance optimization of mobile devices on the basis of the original Rapidnet and ncnn frameworks. At the same time, it refers to the high performance and good scalability characteristics of the industry's mainstream open source frameworks, and expands the support for X86 and NV GPUs. On the mobile phone, TNN has been used by many applications such as mobile QQ, weishi, and Pitu. As a basic acceleration framework for Tencent Cloud AI, TNN has provided acceleration support for the implementation of many businesses. Everyone is welcome to participate in the collaborative construction to promote the further improvement of the TNN inference framework.";
     String question1 = "what advantages does TNN have?";
 
     String material2 = "Pumas are large, cat-like animals which are found in America. When reports came into London Zoo that a wild puma had been spotted forty-five miles south of London, they were not taken seriously. However, as the evidence began to accumulate, experts from the Zoo felt obliged to investigate, for the descriptions given by people who claimed to have seen the puma were extraordinarily similar.";

examples/ios/TNNExamples/TNNReadingComprehensionController/TNNReadingComprehensionController.mm

@@ -46,7 +46,7 @@ - (void)viewWillAppear:(BOOL) animated {
     [super viewWillAppear:animated];
     /*
      Testcast1:
-     std::string context = "TNN: A high-performance, lightweight neural network inference framework open sourced by Tencent Youtu Lab. It also has many outstanding advantages such as cross-platform, high performance, model compression, and code tailoring. The TNN framework further strengthens the support and performance optimization of mobile devices on the basis of the original Rapidnet and ncnn frameworks. At the same time, it refers to the high performance and good scalability characteristics of the industry's mainstream open source frameworks, and expands the support for X86 and NV GPUs. On the mobile phone, TNN has been used by many applications such as mobile QQ, weishi, and Pitu. As a basic acceleration framework for Tencent Cloud AI, TNN has provided acceleration support for the implementation of many businesses. Everyone is welcome to participate in the collaborative construction to promote the further improvement of the TNN reasoning framework.";
+     std::string context = "TNN: A high-performance, lightweight neural network inference framework open sourced by Tencent Youtu Lab. It also has many outstanding advantages such as cross-platform, high performance, model compression, and code tailoring. The TNN framework further strengthens the support and performance optimization of mobile devices on the basis of the original Rapidnet and ncnn frameworks. At the same time, it refers to the high performance and good scalability characteristics of the industry's mainstream open source frameworks, and expands the support for X86 and NV GPUs. On the mobile phone, TNN has been used by many applications such as mobile QQ, weishi, and Pitu. As a basic acceleration framework for Tencent Cloud AI, TNN has provided acceleration support for the implementation of many businesses. Everyone is welcome to participate in the collaborative construction to promote the further improvement of the TNN inference framework.";
      std::string question = "what advantages does TNN have?"; // cross-platform, high performance, model compression, and code tailoring
      std::string question = "who developed TNN?"; // Tencent Youtu Lab
      std::string question = "which applications use TNN?"; // mobile QQ, weishi, and Pitu
@@ -63,7 +63,7 @@ - (void)viewWillAppear:(BOOL) animated {
      std::string question = "what is tiramisu?";  // a polyhedral compiler with a scheduling language
      std::string question = "what are tiramisu designed for?"; // deep learning
      */
-    self.context = [NSString stringWithUTF8String:"TNN: A high-performance, lightweight neural network inference framework open sourced by Tencent Youtu Lab. It also has many outstanding advantages such as cross-platform, high performance, model compression, and code tailoring. The TNN framework further strengthens the support and performance optimization of mobile devices on the basis of the original Rapidnet and ncnn frameworks. At the same time, it refers to the high performance and good scalability characteristics of the industry's mainstream open source frameworks, and expands the support for X86 and NV GPUs. On the mobile phone, TNN has been used by many applications such as mobile QQ, weishi, and Pitu. As a basic acceleration framework for Tencent Cloud AI, TNN has provided acceleration support for the implementation of many businesses. Everyone is welcome to participate in the collaborative construction to promote the further improvement of the TNN reasoning framework."];
+    self.context = [NSString stringWithUTF8String:"TNN: A high-performance, lightweight neural network inference framework open sourced by Tencent Youtu Lab. It also has many outstanding advantages such as cross-platform, high performance, model compression, and code tailoring. The TNN framework further strengthens the support and performance optimization of mobile devices on the basis of the original Rapidnet and ncnn frameworks. At the same time, it refers to the high performance and good scalability characteristics of the industry's mainstream open source frameworks, and expands the support for X86 and NV GPUs. On the mobile phone, TNN has been used by many applications such as mobile QQ, weishi, and Pitu. As a basic acceleration framework for Tencent Cloud AI, TNN has provided acceleration support for the implementation of many businesses. Everyone is welcome to participate in the collaborative construction to promote the further improvement of the TNN inference framework."];
     self.question = [NSString stringWithUTF8String:"what is TNN?"];
 
     self.labelContext.text = [NSString stringWithFormat:@"Context:\n%s", [self.context UTF8String]];

examples/linux/src/BertReadingComprehension/BertReadingComprehension.cc

@@ -29,7 +29,7 @@ static const char demo_guide[] = "If you don't know how to use this demo or got
     "step1. Check the model and vocab path (download from url: https://github.com/darrenyao87/tnn-models/tree/master/model/bertsquad10)\n"
     "step2. Enter a paragraph found in the wiki or elsewhere\n"
     "       eg. TNN README\n"
-    "       TNN: A high-performance, lightweight neural network inference framework open sourced by Tencent Youtu Lab. It also has many outstanding advantages such as cross-platform, high performance, model compression, and code tailoring. The TNN framework further strengthens the support and performance optimization of mobile devices on the basis of the original Rapidnet and ncnn frameworks. At the same time, it refers to the high performance and good scalability characteristics of the industry's mainstream open source frameworks, and expands the support for X86 and NV GPUs. On the mobile phone, TNN has been used by many applications such as mobile QQ, weishi, and Pitu. As a basic acceleration framework for Tencent Cloud AI, TNN has provided acceleration support for the implementation of many businesses. Everyone is welcome to participate in the collaborative construction to promote the further improvement of the TNN reasoning framework.\n"
+    "       TNN: A high-performance, lightweight neural network inference framework open sourced by Tencent Youtu Lab. It also has many outstanding advantages such as cross-platform, high performance, model compression, and code tailoring. The TNN framework further strengthens the support and performance optimization of mobile devices on the basis of the original Rapidnet and ncnn frameworks. At the same time, it refers to the high performance and good scalability characteristics of the industry's mainstream open source frameworks, and expands the support for X86 and NV GPUs. On the mobile phone, TNN has been used by many applications such as mobile QQ, weishi, and Pitu. As a basic acceleration framework for Tencent Cloud AI, TNN has provided acceleration support for the implementation of many businesses. Everyone is welcome to participate in the collaborative construction to promote the further improvement of the TNN inference framework.\n"
     "step3. Enter a question about the paragraph\n"
     "       what is TNN?\n"
     "       where TNN has been used?\n"