From 99a370dd02dcf40e40062f92f09918edb421c4ec Mon Sep 17 00:00:00 2001
From: Preetha Veeramalai <preetha.veeramalai@intel.com>
Date: Mon, 11 Jul 2022 23:24:12 +0530
Subject: [PATCH] Update readme for OVEP  (#12122)

* Add changes for training module in Readme

* Update ReadMeOV.rst
---
 docs/python/ReadMeOV.rst | 14 +++++++++-----
 1 file changed, 9 insertions(+), 5 deletions(-)

diff --git a/docs/python/ReadMeOV.rst b/docs/python/ReadMeOV.rst
index 676f98714d..b9b794fadb 100644
--- a/docs/python/ReadMeOV.rst
+++ b/docs/python/ReadMeOV.rst
@@ -16,7 +16,7 @@ Requirements
 ^^^^^^^^^^^^
 
 - Ubuntu 18.04, 20.04, RHEL(CPU only) or Windows 10 - 64 bit
-- Python 3.7, 3.8 or 3.9
+- Python 3.7, 3.8 or 3.9 for Linux and only Python3.9 for Windows
 
 This package supports:
  - Intel® CPUs
@@ -27,17 +27,21 @@ Please Note for VAD-M use Docker installation / Build from Source for Linux.
 
 ``pip3 install onnxruntime-openvino==1.12.0``
 
-Windows release supports only Python 3.9. Please install OpenVINO™ PyPi Package separately for Windows. 
+Please install OpenVINO™ PyPi Package separately for Windows. 
 For installation instructions on Windows please refer to  `OpenVINO™ Execution Provider for ONNX Runtime for Windows <https://github.com/intel/onnxruntime/releases/>`_.
 
-This **OpenVINO™ Execution Provider for ONNX Runtime** Linux Wheels comes with pre-built libraries of OpenVINO™ version 2022.1.0 meaning you do not have to install OpenVINO™ separately. CXX11_ABI flag for pre built OpenVINO™ libraries is 0. The package also comes with `ONNX Runtime Training module <https://github.com/intel/onnxruntime/tree/master/orttraining/>`_ to enable inferencing of torch models using `ORT <https://github.com/pytorch/ort>`_. 
+**OpenVINO™ Execution Provider for ONNX Runtime** Linux Wheels comes with pre-built libraries of OpenVINO™ version 2022.1.0 eliminating the need to install OpenVINO™ separately. The OpenVINO™ libraries are prebuilt with CXX11_ABI flag set to 0.
+
+The package also includes module that is used by torch-ort-inference to accelerate inference for PyTorch models with OpenVINO Execution Provider. 
+See `torch-ort-inference <https://github.com/pytorch/ort#accelerate-inference-for-pytorch-models-with-onnx-runtime-preview>`_ for more details.
 
 For more details on build and installation please refer to `Build <https://onnxruntime.ai/docs/build/eps.html#openvino>`_.
 
 Usage
 ^^^^^
 
-By default, Intel® CPU is used to run inference. However, you can change the default option to either Intel® integrated GPU or Intel® VPU for AI inferencing. Invoke the following function to change the hardware on which inferencing is done.
+By default, Intel® CPU is used to run inference. However, you can change the default option to either Intel® integrated GPU or Intel® VPU for AI inferencing.
+Invoke `the provider config device type argument <https://onnxruntime.ai/docs/execution-providers/OpenVINO-ExecutionProvider.html#summary-of-options>`_ to change the hardware on which inferencing is done.
 
 For more API calls and environment variables, see  `Usage <https://onnxruntime.ai/docs/execution-providers/OpenVINO-ExecutionProvider.html#configuration-options>`_.
 
@@ -76,4 +80,4 @@ How to Contribute
 We welcome community contributions to **OpenVINO™ Execution Provider for ONNX Runtime**. If you have an idea for improvement:
 
 * Share your proposal via  `GitHub Issues <https://github.com/microsoft/onnxruntime/issues>`_.
-* Submit a  `Pull Request <https://github.com/microsoft/onnxruntime/pulls>`_.
\ No newline at end of file
+* Submit a  `Pull Request <https://github.com/microsoft/onnxruntime/pulls>`_.