Editorial and formatting fixes

Author: svekars

prototype_source/inductor_windows_cpu.rst

@@ -4,54 +4,70 @@ How to use TorchInductor on Windows CPU
 **Author**: `Zhaoqiong Zheng <https://github.com/ZhaoqiongZ>`_, `Xu, Han <https://github.com/xuhancn>`_
 
 
-Introduction
-------------
 
-TorchInductor is the new compiler backend that compiles the FX Graphs generated by TorchDynamo into optimized C++/Triton kernels.
+TorchInductor is a new compiler backend that compiles FX Graphs generated by TorchDynamo into optimized C++/Triton kernels.
+This tutorial will guide you through the process of using TorchInductor on a Windows CPU.
 
-This tutorial introduces the steps for utilizing TorchInductor on Windows CPU.
+.. grid:: 2
 
+    .. grid-item-card:: :octicon:`mortar-board;1em;` What you will learn
+       :class-card: card-prerequisites
 
+       * How to compile and execute a Python function with PyTorch, optimized for Windows CPU
+       * Basics of TorchInductor's optimization using C++/Triton kernels.
 
-Software Installation
----------------------
+    .. grid-item-card:: :octicon:`list-unordered;1em;` Prerequisites
+       :class-card: card-prerequisites
 
-Now, we will walk you through a step-by-step tutorial for how to use torchinductor on Windows CPU.
+       * PyTorch v2.5 or later
+       * Microsoft Visual C++ (MSVC)
+       * Miniforge for Windows
 
-Install a Compiler
-^^^^^^^^^^^^^^^^^^
+Install the Required Software
+---------------------
 
-C++ compiler is required for torchinductor optimization, let's take Microsoft Visual C++ (MSVC) as an example.
+First, let's install the required software. C++ compiler is required for TorchInductor optimization.
+We will use Microsoft Visual C++ (MSVC) for this example. 
 
-Download and install `MSVC <https://visualstudio.microsoft.com/downloads/>`_.
+1. Download and install `MSVC <https://visualstudio.microsoft.com/downloads/>`_.
 
-During Installation, chosse `Desktop Development with C++` in the `Desktop & Mobile` Section and then install.
+1. During the installation, choose **Desktop Development with C++** in the **Desktop & Mobile** section. Then install the software
 
-.. note::
+  .. note::
 
-    We recommend C++ compiler `Clang <https://github.com/llvm/llvm-project/releases>`_ and `Intel Compiler <https://www.intel.com/content/www/us/en/developer/tools/oneapi/base-toolkit-download.html>`_.
+     We recommend C++ compiler `Clang <https://github.com/llvm/llvm-project/releases>`_ and `Intel Compiler <https://www.intel.com/content/www/us/en/developer/tools/oneapi/base-toolkit-download.html>`_.
 
-Install Miniforge
-^^^^^^^^^^^^^^^^^
 
-Download and install `Miniforge <https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-Windows-x86_64.exe>`_.
+1. Download and install `Miniforge3-Windows-x86_64.exe <https://github.com/conda-forge/miniforge/releases/latest/>`__.
 
 Set Up Environment
 ^^^^^^^^^^^^^^^^^^
 
-#. Open a command line environment via cmd.exe.
-#. Activate `MSVC` via below command::
+#. Open the command line environment via ``cmd.exe``.
+#. Activate `MSVC` with the following command::
 
     "C:/Program Files/Microsoft Visual Studio/2022/Community/VC/Auxiliary/Build/vcvars64.bat"
-#. Activate `conda` via below command::
+#. Activate `conda` with the following command:
+
+   .. code-block:: sh
 
     "C:/ProgramData/miniforge3/Scripts/activate.bat"
-#. Create and activate customer conda environment::
+#. Create and activate a customer conda environment:
+ 
+     .. code-block:: sh
 
     conda create -n inductor_cpu_windows python=3.10 -y 
     conda activate inductor_cpu_windows
+
 #. Install `PyTorch 2.5 <https://pytorch.org/get-started/locally/>`_ or later.
-#. Use torchinductor on Windows CPU::
+
+Using TorchInductor on Windows CPU
+----------------------------------------
+
+Here’s a simple example to demonstrate how to use TorchInductor:
+
+.. code-block:: python
+
 
     import torch
     def foo(x, y):
@@ -61,7 +77,9 @@ Set Up Environment
     opt_foo1 = torch.compile(foo)
     print(opt_foo1(torch.randn(10, 10), torch.randn(10, 10)))
 
-#. Output of the above example::
+The code above returns the following output: 
+
+.. code-block:: sh
 
     tensor([[-3.9074e-02,  1.3994e+00,  1.3894e+00,  3.2630e-01,  8.3060e-01,
             1.1833e+00,  1.4016e+00,  7.1905e-01,  9.0637e-01, -1.3648e+00],
@@ -87,4 +105,4 @@ Set Up Environment
 Conclusion
 ----------
 
-With this tutorial, we introduce how to use Inductor on Windows CPU with PyTorch 2.5 or later.  
+In this tutorial, we have learned how to use Inductor on Windows CPU with PyTorch 2.5 or later.