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 # C++/CUDA Extensions in PyTorch
-
+# Table of Contents
+1. [C++/CUDA Extensions in PyTorch](#ccuda-extensions-in-pytorch)
+2. [Installation](#installation)
+3. [To build](#to-build)
+4. [To test](#to-test)
+5. [To benchmark Python vs. C++ vs. CUDA](#to-benchmark-python-vs-c-vs-cuda)
+6. [How to Contribute](#how-to-contribute)
+    - [1. Fork the Repository](#1-fork-the-repository)
+    - [2. Clone Your Fork](#2-clone-your-fork)
+7. [Authors](#authors)
 An example of writing a C++/CUDA extension for PyTorch. See
 [here](https://pytorch.org/tutorials/advanced/cpp_custom_ops.html) for the accompanying tutorial.
 This repo demonstrates how to write an example `extension_cpp.ops.mymuladd`
 custom op that has both custom CPU and CUDA kernels.
 
 The examples in this repo work with PyTorch 2.4+.
+## Installation
+To use the following extension you must have the following:
+- **PyTorch 2.4+**: Must have a compatible version installed.
+- **CUDA Toolkit**: Required for building and running the CUDA kernels if using GPU acceleration.
+- **GCC or Clang**: Necessary for compiling the C++ extension.
+- **Python 3.7+**: Check you are using a compatible version of Python.
 
-To build:
+You can install the required packages using:
+```bash
+pip install torch
+pip install -r requirements.txt  # If any additional requirements are specified
+```
+## To build:
 ```
 pip install .
 ```
 
-To test:
+## To test:
 ```
 python test/test_extension.py
 ```
 
-To benchmark Python vs. C++ vs. CUDA:
+## To benchmark Python vs. C++ vs. CUDA:
 ```
 python test/benchmark.py
 ```
+## How to Contribute
+Contributions are always welcome, to contribute remember to do the following:
+### 1. Fork the Repository
+- Click the "Fork" button at the top of this repository to create your own copy.
 
+### 2. Clone Your Fork
+```bash
+git clone https://github.com/<your-username>/extension-cpp.git
+cd extension-cpp
+```
 ## Authors
 
 [Peter Goldsborough](https://github.com/goldsborough), [Richard Zou](https://github.com/zou3519)