From b4592d69c2528c8a3da3aeaca9ffdebaaf80a96f Mon Sep 17 00:00:00 2001
From: Yifan Li <109183385+yf711@users.noreply.github.com>
Date: Thu, 6 Jul 2023 17:45:54 -0700
Subject: [PATCH] Clarify TRTEP doc (#16537)

### Description
* Clarify TRTEP version info


### Motivation and Context
https://github.com/microsoft/onnxruntime/issues/15118: issue to request
https://github.com/microsoft/onnxruntime/pull/16465: previous PR to
update trtep doc
---
 docs/build/eps.md                                  | 14 ++++++++------
 .../TensorRT-ExecutionProvider.md                  | 12 ++++--------
 2 files changed, 12 insertions(+), 14 deletions(-)

diff --git a/docs/build/eps.md b/docs/build/eps.md
index 8f77d77bce..f5b7043b65 100644
--- a/docs/build/eps.md
+++ b/docs/build/eps.md
@@ -95,7 +95,7 @@ See more information on the TensorRT Execution Provider [here](../execution-prov
 {: .no_toc }
 
 * Install [CUDA](https://developer.nvidia.com/cuda-toolkit) and [cuDNN](https://developer.nvidia.com/cudnn)
-   * The TensorRT execution provider for ONNX Runtime is built and tested up to CUDA 11.8 and cuDNN 8.9.
+   * The TensorRT execution provider for ONNX Runtime is built and tested up to CUDA 11.8 and cuDNN 8.9. Check [here](https://onnxruntime.ai/docs/execution-providers/TensorRT-ExecutionProvider.html#requirements) for more version information.
    * The path to the CUDA installation must be provided via the CUDA_PATH environment variable, or the `--cuda_home` parameter. The CUDA path should contain `bin`, `include` and `lib` directories.
    * The path to the CUDA `bin` directory must be added to the PATH environment variable so that `nvcc` is found.
    * The path to the cuDNN installation (path to cudnn bin/include/lib) must be provided via the cuDNN_PATH environment variable, or `--cudnn_home` parameter.
@@ -103,11 +103,13 @@ See more information on the TensorRT Execution Provider [here](../execution-prov
  * Install [TensorRT](https://developer.nvidia.com/tensorrt)
    * The TensorRT execution provider for ONNX Runtime is built and tested up to TensorRT 8.6.
    * The path to TensorRT installation must be provided via the `--tensorrt_home` parameter.
-   * By default, ONNX Runtime uses TensorRT built-in parser library, instead of generating the parser library from open-sourced [onnx-tensorrt](https://github.com/onnx/onnx-tensorrt/tree/main) submodule. 
-     * To update TensorRT parser version, simply linking path to new TensorRT folder when building Onnx Runtime. 
-     * To generate open-sourced parser when building ONNX Runtime, add additional `--use_tensorrt_oss_parser` parameter next to the parameter `--use_tensorrt` in build commands below.
-       * The default version of open-sourced onnx-tensorrt parser is encoded in cmake/deps.txt.
-       * To specify a different version, please update the commit link for the onnx-tensorrt repository, and run `sha1sum` command on the onnx-tensorrt zip file to acquire the SHA1 hash
+   * ONNX Runtime uses TensorRT built-in parser from `tensorrt_home` by default.
+   * To use open-sourced [onnx-tensorrt](https://github.com/onnx/onnx-tensorrt/tree/main) parser instead, add `--use_tensorrt_oss_parser` parameter in build commands below.
+       * The default version of open-sourced onnx-tensorrt parser is encoded in [cmake/deps.txt](https://github.com/microsoft/onnxruntime/blob/main/cmake/deps.txt).
+       * To specify a different version of onnx-tensorrt parser:
+         * Select the commit of [onnx-tensorrt](https://github.com/onnx/onnx-tensorrt/commits) that you preferred;
+         * Run `sha1sum` command with downloaded onnx-tensorrt zip file to acquire the SHA1 hash 
+         * Update [cmake/deps.txt](https://github.com/microsoft/onnxruntime/blob/main/cmake/deps.txt) with updated onnx-tensorrt commit and hash info.
 
 ### Build Instructions
 {: .no_toc }
diff --git a/docs/execution-providers/TensorRT-ExecutionProvider.md b/docs/execution-providers/TensorRT-ExecutionProvider.md
index cc0e867f94..98addac929 100644
--- a/docs/execution-providers/TensorRT-ExecutionProvider.md
+++ b/docs/execution-providers/TensorRT-ExecutionProvider.md
@@ -20,10 +20,12 @@ The TensorRT execution provider in the ONNX Runtime makes use of NVIDIA's [Tenso
 {:toc}
 
 ## Install
-Pre-built packages and Docker images are available for Jetpack in the [Jetson Zoo](https://elinux.org/Jetson_Zoo#ONNX_Runtime).
+Please select the GPU (CUDA/TensorRT) version of OnnxRuntime: https://onnxruntime.ai/docs/install. Pre-built packages and Docker images are available for Jetpack in the [Jetson Zoo](https://elinux.org/Jetson_Zoo#ONNX_Runtime).
+
+## Build from source
+See [Build instructions](../build/eps.md#tensorrt).
 
 ## Requirements
-
 |ONNX Runtime|TensorRT|CUDA|
 |---|---|---|
 |1.15-main|8.6|11.8|
@@ -39,12 +41,6 @@ Pre-built packages and Docker images are available for Jetpack in the [Jetson Zo
 
 For more details on CUDA/cuDNN versions, please see [CUDA EP requirements](./CUDA-ExecutionProvider.md#requirements).
 
-## Build
-
-See [Build instructions](../build/eps.md#tensorrt).
-
-The TensorRT execution provider for ONNX Runtime is built and tested with TensorRT 8.5.
-
 ## Usage
 ### C/C++
 ```c++