Installing PyTorch 2+ on Apple M1 (Beginner’s Guide) #Shorts

In this tutorial, we will guide you through the steps to install PyTorch 2+ on your machine, including the Apple M1 chip. PyTorch is a popular open-source machine learning library developed by Facebook AI Research that is widely used by researchers and developers for deep learning tasks.

Step 1: Check your system requirements
Before we start the installation process, make sure that your system meets the minimum requirements for PyTorch. You will need Python 3.6 or higher installed on your machine. Additionally, you will need to have pip, a package manager for Python, installed. You can check the Python version by running the following command in your terminal:

python3 --version

Step 2: Install PyTorch using pip
You can install PyTorch by using the following command in your terminal:

pip install torch torchvision torchaudio

This command will install the latest stable version of PyTorch along with torchvision and torchaudio, which are additional packages that are commonly used with PyTorch for tasks like computer vision and audio processing.

Step 3: Verify the installation
To verify that PyTorch has been successfully installed on your machine, you can run the following Python code in a Python interpreter or a Jupyter notebook:

import torch

print(torch.__version__)

If the output of this code shows the version number of PyTorch, then the installation was successful.

Step 4: Installing PyTorch on Apple M1 chip
If you are using a machine with the Apple M1 chip, you can install PyTorch using the following command:

pip install torch torchvision torchaudio -f https://download.pytorch.org/whl/nightly/torch_nightly.html

This command will install the nightly build of PyTorch that is optimized for the Apple M1 chip. Make sure to use this command specifically for Apple M1 devices to ensure compatibility.

Step 5: Verify the installation on Apple M1 chip
To verify that PyTorch has been successfully installed on your Apple M1 machine, you can run the same Python code mentioned in Step 3 above. If the output shows the version number of PyTorch, then the installation on the Apple M1 chip was successful.

In this tutorial, we have covered the steps to install PyTorch 2+ on your machine, including the Apple M1 chip. By following these instructions, you will be able to start working with PyTorch and leverage its powerful capabilities for deep learning tasks. If you encounter any issues during the installation process, refer to the official PyTorch documentation or community forums for further assistance.