Update index.rst and installation.md (#1693)

* Update index.rst

Update per comments from technical writer.

* Update per technical writer's comments

Author: tye1

docs/index.rst

@@ -2,7 +2,7 @@
 Welcome to Intel® Extension for PyTorch* Documentation
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-Intel® Extension for PyTorch* extends  `PyTorch\* <https://github.com/pytorch/pytorch>`_ with up-to-date features and optimizations for an extra performance boost on Intel hardware. It is a heterogeneous, high performance deep learning implementation for both CPU and XPU. XPU is a user visible device that is a counterpart of the well-known CPU and CUDA in the PyTorch* community. XPU represents Intel specific kernel and graph optimizations for various “concrete” devices. XPU runtime will choose the actual device when executing AI workloads on the XPU device. The default selected device is Intel GPU. This release introduces optimized solution on XPU particularly and lets PyTorch end-users get up-to-date features and optimizations on Intel Graphics cards.
+Intel® Extension for PyTorch* extends `PyTorch\* <https://github.com/pytorch/pytorch>`_ with up-to-date features and optimizations for an extra performance boost on Intel hardware. It is a heterogeneous, high-performance deep-learning implementation for both CPU and XPU. XPU is a user visible device that is a counterpart of the well-known CPU and CUDA in the PyTorch* community. XPU represents an Intel-specific kernel and graph optimizations for various “concrete” devices. The XPU runtime will choose the actual device when executing AI workloads on the XPU device. The default selected device is Intel GPU. This release introduces specific XPU solution optimizations and gives PyTorch end-users up-to-date features and optimizations on Intel Graphics cards.
 
 Intel® Extension for PyTorch* provides aggressive optimizations for both eager mode and graph mode. Graph mode in PyTorch* normally yields better performance from optimization techniques such as operation fusion, and Intel® Extension for PyTorch* amplifies them with more comprehensive graph optimizations. This extension can be loaded as a Python module for Python programs or linked as a C++ library for C++ programs. In Python scripts users can enable it dynamically by ``import intel_extension_for_pytorch``. To execute AI workloads on XPU, the input tensors and models must be converted to XPU beforehand by ``input = input.to("xpu")`` and ``model = model.to("xpu")``.
 

docs/tutorials/installation.md

@@ -30,7 +30,7 @@ Intel® Extension for PyTorch\* has to work with a corresponding version of PyTo
 
 |Release|OS|Intel GPU|Install Intel GPU Driver|
 |-|-|-|-|
-|v1.0.0|Ubuntu 20.04|Intel® Data Center GPU Flex Series| Refer to the [Installation Guides](https://dgpu-docs.intel.com/installation-guides/ubuntu/ubuntu-focal-dc.html) for latest driver installation. If install the verified Intel® Data Center GPU Flex Series [419.40](https://dgpu-docs.intel.com/releases/stable_419_40_20220914.html), please append the specific version after components, such as `sudo apt-get install intel-opencl-icd=22.28.23726.1+i419~u20.04`|
+|v1.0.0|Ubuntu 20.04|Intel® Data Center GPU Flex Series| Refer to the [Installation Guides](https://dgpu-docs.intel.com/installation-guides/ubuntu/ubuntu-focal-dc.html) for the latest driver installation. If installing the verified Intel® Data Center GPU Flex Series [419.40](https://dgpu-docs.intel.com/releases/stable_419_40_20220914.html), use a specific version for component package names, such as `sudo apt-get install intel-opencl-icd=22.28.23726.1+i419~u20.04`|
 
 ### Install oneAPI Base Toolkit