typo correction, add meta, add isa requirements

intel · Aug 30, 2022 · 275feac · 275feac
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diff --git a/docs/index.rst b/docs/index.rst
@@ -3,6 +3,10 @@
    You can adapt this file completely to your liking, but it should at least
    contain the root `toctree` directive.
 
+.. meta::
+   :description: This website introduces Intel® Extension for PyTorch*
+   :keywords: Intel optimization, PyTorch, Intel® Extension for PyTorch*
+
 Welcome to Intel® Extension for PyTorch* Documentation
 ######################################################
 

diff --git a/docs/tutorials/features/int8.md b/docs/tutorials/features/int8.md
@@ -3,7 +3,7 @@ Intel® Extension for PyTorch\* optimizations for quantization
 
 The quantization functionality in Intel® Extension for PyTorch\* currently only supports post-training quantization. This tutorial introduces how the quantization works in the Intel® Extension for PyTorch\* side.
 
-We fully utilize Pytorch quantization components as much as possible, such as PyTorch [Observer method](https://pytorch.org/docs/1.11/quantization-support.html#torch-quantization-observer). To make a PyTorch user be able to easily use the quantization API, API for quantization in Intel® Extension for PyTorch\* is very similar to those in PyTorch. Intel® Extension for PyTorch\* quantization supports a default recipe to automatically decide which operators should be quanized or not. This brings a satisfying performance and accuracy tradeoff.
+We fully utilize Pytorch quantization components as much as possible, such as PyTorch [Observer method](https://pytorch.org/docs/1.11/quantization-support.html#torch-quantization-observer). To make a PyTorch user be able to easily use the quantization API, API for quantization in Intel® Extension for PyTorch\* is very similar to those in PyTorch. Intel® Extension for PyTorch\* quantization supports a default recipe to automatically decide which operators should be quantized or not. This brings a satisfying performance and accuracy tradeoff.
 
 ## Static Quantization
 

diff --git a/docs/tutorials/installation.md b/docs/tutorials/installation.md
@@ -9,6 +9,8 @@ Installation Guide
 |Operating System|CentOS 7, RHEL 8, Rocky Linux 8.5, Ubuntu newer than 18.04|
 |Python|See prebuilt wheel files availability matrix below|
 
+* Intel® Extension for PyTorch\* is functional on systems with AVX2 instruction set support (such as Intel® Core™ Processor Family and Intel® Xeon® Processor formerly Broadwell). However, it is highly recommended to run on systems with AVX-512 and above instructions support for optimal performance (such as Intel® Xeon® Scalable Processors).
+
 ## Install PyTorch
 
 Make sure PyTorch is installed so that the extension will work properly. For each PyTorch release, we have a corresponding release of the extension. Here are the PyTorch versions that we support and the mapping relationship: