nit

docs/execution-providers/TensorRT-ExecutionProvider.md

@@ -71,7 +71,7 @@ sess = ort.InferenceSession('model.onnx', providers=['TensorrtExecutionProvider'
 ## Configurations
 There are two ways to configure TensorRT settings, either by [TensorRT Execution Provider Session Option](https://onnxruntime.ai/docs/execution-providers/TensorRT-ExecutionProvider.html#execution-provider-options) or [Environment Variables(deprecated)](https://onnxruntime.ai/docs/execution-providers/TensorRT-ExecutionProvider.html#environment-variablesdeprecated).
 
-Here are examples and different scenarios to set TensorRT EP session options:
+Here are examples and different [scenarios](./TensorRT-ExecutionProvider.md#scenario) to set TensorRT EP session options:
 
 #### Click below for Python API example:
 
@@ -167,6 +167,8 @@ Ort::ThrowOnError(api.GetTensorRTProviderOptionsAsString(tensorrt_options,
 </details>
 
 
+### Scenario
+
 | Scenario                                           | TensorRT EP Session Option            | Type   |
 | :------------------------------------------------- | :------------------------------------ | :----- |
 | **Device and Compute Configuration**               |                                       |        |
@@ -218,6 +220,7 @@ Ort::ThrowOnError(api.GetTensorRTProviderOptionsAsString(tensorrt_options,
 
 > Note: for bool type options, assign them with **True**/**False** in python, or **1**/**0** in C++.
 
+
 ### Execution Provider Options
 
 TensorRT configurations can be set by execution provider options. It's useful when each model and inference session have their own configurations. In this case, execution provider option settings will override any environment variable settings. All configurations should be set explicitly, otherwise default value will be taken.