fix broken links

* Add build instructions for TRT-RTX (only windows for now)
* Fix broken link

Author: ankan-ban

docs/build/eps.md

@@ -235,6 +235,21 @@ These instructions are for the latest [JetPack SDK](https://developer.nvidia.com
 
 * For a portion of Jetson devices like the Xavier series, higher power mode involves more cores (up to 6) to compute but it consumes more resource when building ONNX Runtime. Set `--parallel 1` in the build command if OOM happens and system is hanging.
 
+## TensorRT-RTX
+
+See more information on the NV TensorRT RTX Execution Provider [here](../execution-providers/TensorRTRTX-ExecutionProvider.md).
+
+### Prerequisites
+{: .no_toc }
+
+ * Follow [instructions for CUDA execution provider](#cuda) to install CUDA and setup environment variables.
+ * Intall TensorRT for RTX from nvidia.com (TODO: add link when available)
+
+### Build Instructions
+{: .no_toc }
+`build.bat --config Release --parallel 32 --build_dir _build --build_shared_lib --use_nv_tensorrt_rtx --tensorrt_home "C:\dev\TensorRT-RTX-1.1.0.3" --cuda_home "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.9" --cmake_generator "Visual Studio 17 2022" --use_vcpkg`
+Replace the --tensorrt_home and --cuda_home with correct paths to CUDA and TensorRT-RTX installations.
+
 ## oneDNN
 
 See more information on oneDNN (formerly DNNL) [here](../execution-providers/oneDNN-ExecutionProvider.md).

docs/execution-providers/TensorRTRTX-ExecutionProvider.md

@@ -29,7 +29,7 @@ Currently TensorRT RTX supports RTX GPUs from Ampere or later architectures. Sup
 Please select the Nvidia TensorRT RTX version of Onnx Runtime: https://onnxruntime.ai/docs/install. (TODO!)
 
 ## Build from source
-See [Build instructions](../build/eps.md#tensorrtrtx). (TODO!)
+See [Build instructions](../build/eps.md#TensorRT-RTX).
 
 ## Requirements
 
@@ -207,7 +207,7 @@ TensorRT RTX configurations can be set by execution provider options. It's usefu
   * The format of the profile shapes is `input_tensor_1:dim_1xdim_2x...,input_tensor_2:dim_3xdim_4x...,...`
     * These three flags should all be provided in order to enable explicit profile shapes feature.
   * Note that multiple TensorRT RTX profiles can be enabled by passing multiple shapes for the same input tensor.
-  * Check [Explicit shape range for dynamic shape input](#explicit-shape-range-for-dynamic-shape-input) and TRT doc [optimization profiles](https://docs.nvidia.com/deeplearning/tensorrt/developer-guide/index.html#opt_profiles) for more details.
+  * Check TensorRT doc [optimization profiles](https://docs.nvidia.com/deeplearning/tensorrt/developer-guide/index.html#opt_profiles) for more details.
 
 ## NV TensorRT RTX EP Caches
 There are two major TRT RTX EP caches: