add tutorial for inductor on windows cpu

Author: ZhaoqiongZ

prototype_source/inductor_windows_cpu.rst

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+How to use TorchInductor on Windows CPU
+=======================================
+
+**Author**: `Xu, Han <https://github.com/xuhancn>`_, `Zhaoqiong Zheng <https://github.com/ZhaoqiongZ>`_
+
+
+Introduction
+------------
+
+TorchInductor is the new compiler backend that compiles the FX Graphs generated by TorchDynamo into optimized C++/Triton kernels.
+
+This tutorial introduces the steps for utilizing TorchInductor on Windows CPU.
+
+
+
+Software Installation
+---------------------
+
+Now, we will walk you through a step-by-step tutorial for how to use torchinductor on Windows CPU.
+
+Install a Compiler
+^^^^^^^^^^^^^^^^^^
+
+TorchInductor Optimization need a compiler, let's take MSVC as an example.
+
+Download and install `MSVC <https://visualstudio.microsoft.com/downloads/>`_.
+
+During Installation, chosse `Desktop Development with C++` in the `Desktop & Mobile` Section and then install.
+
+.. note::
+
+    You can also choose other compiler like Clang & Intel Compiler.
+
+
+Install Miniforge
+^^^^^^^^^^^^^^^^^
+
+Download and install `Miniforge <https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-Windows-x86_64.exe>`_.
+
+Set Up Environment
+^^^^^^^^^^^^^^^^^^
+
+1. Open a command line environment via cmd.exe.
+2. Activate `MSVC` via below command:
+::
+
+    "C:/Program Files/Microsoft Visual Studio/2022/Community/VC/Auxiliary/Build/vcvars64.bat"
+3. Activate `conda` via below command:
+::
+
+    "C:/ProgramData/miniforge3/Scripts/activate.bat"
+4. Create and activate customer conda environment:
+::
+
+    conda create -n inductor_cpu_windows python=3.10 -y 
+    conda activate inductor_cpu_windows
+
+5. `Install PyTorch 2.5 <https://pytorch.org/get-started/locally/>`_ or later.
+6. Try `torchinductor` on Windows CPU:
+::
+
+    import torch
+    def foo(x, y):
+        a = torch.sin(x)
+        b = torch.cos(x)
+        return a + b
+    opt_foo1 = torch.compile(foo)
+    print(opt_foo1(torch.randn(10, 10), torch.randn(10, 10)))
+
+Conclusion
+----------
+
+With this tutorial, we introduce how to use Inductor with X86 CPU in PyTorch 2.5 on Windows.