Merge pull request #29 from Microsoft/RyanUnderhill-patch-1

Update C_API.md

docs/C_API.md

@@ -1,17 +1,17 @@
 # C API
 
-# Q: Why having a C API? 
-Q: Why not just live in C++ world? Why must C?    
-A: We want to distribute onnxruntime as a DLL, which can be used in .Net languages through [P/Invoke](https://docs.microsoft.com/en-us/cpp/dotnet/how-to-call-native-dlls-from-managed-code-using-pinvoke).
-Then this is the only option we have.
+# Q: Why have a C API? 
+Q: Why not just live in a C++ world? Why C?    
+A: We want to distribute the onnxruntime as a DLL, which can be used in .Net languages through [P/Invoke](https://docs.microsoft.com/en-us/cpp/dotnet/how-to-call-native-dlls-from-managed-code-using-pinvoke).
+This is the only option we have.
 
 Q: Is it only for .Net?    
-A: No. It is designed for
-1. Creating language bindings for onnxruntime.e.g. C#, python, java, ...
-2. Dynamic linking always has some benefits. For example, for solving diamond dependency problem.
+A: No. It is designed for:
+1. Creating language bindings for the onnxruntime. e.g. C#, python, java, ...
+2. Dynamic linking has some benefits. For example, solving diamond dependency problems.
 
 Q: Can I export C++ types and functions across DLL or "Shared Object" Library(.so) boundaries?    
-A: Well, you can, but it's not a good practice. And we won't do it in this project.
+A: Well, you can, but it's not a good practice. We won't do it in this project.
 
 
 ## What's inside
@@ -26,14 +26,12 @@ A: Well, you can, but it's not a good practice. And we won't do it in this proje
 
 ## How to use it
 
-Include [onnxruntime_c_api.h](include/onnxruntime/core/session/onnxruntime_c_api.h) in your source code.
-
-Then,
-1. Call ONNXRuntimeInitialize
-2. Create Session: ONNXRuntimeCreateInferenceSession(env, model_uri, nullptr,...)
-3. Create Tensor
+1. Include [onnxruntime_c_api.h](include/onnxruntime/core/session/onnxruntime_c_api.h).
+2. Call ONNXRuntimeInitialize
+3. Create Session: ONNXRuntimeCreateInferenceSession(env, model_uri, nullptr,...)
+4. Create Tensor
    1) ONNXRuntimeCreateAllocatorInfo
    2) ONNXRuntimeCreateTensorWithDataAsONNXValue
-4. ONNXRuntimeRunInference
+5. ONNXRuntimeRunInference