Lesson 2.5: Setting Up Google Colab with PyTorch

Introduction

Google Colab is a free cloud service that allows you to run Jupyter notebooks without any setup. In this lesson, we will learn how to set up Google Colab with PyTorch, a popular deep learning framework.

Steps to Set Up Google Colab with PyTorch

Step 1: Open Google Colab

1. Go to Google Colab.
2. Sign in with your Google account if you are not already signed in.
3. Click on File > New Notebook to create a new notebook.

Step 2: Check the Runtime Type

1. Click on Runtime in the menu bar.
2. Select Change runtime type.
3. Ensure that the Runtime type is set to Python 3.
4. For hardware acceleration, you can select GPU or TPU under Hardware accelerator for faster computation.

Step 3: Install PyTorch

1. In a new code cell, run the following command to install PyTorch:

!pip install torch torchvision

1. Wait for the installation to complete. This will install PyTorch and Torchvision, which provides datasets, model architectures, and image transformations for computer vision.

Step 4: Verify the Installation

1. In a new code cell, run the following code to verify that PyTorch is installed correctly:

import torch
print(torch.__version__)

1. If PyTorch is installed correctly, this will print the version of PyTorch.

Step 5: Test PyTorch with a Simple Example

1. In a new code cell, run the following code to test PyTorch with a simple tensor operation:

# Create a tensor
x = torch.tensor([1.0, 2.0, 3.0])
# Perform a tensor operation
y = x * 2
print(y)

1. This should output a tensor with values [2.0, 4.0, 6.0].

Conclusion

You have successfully set up Google Colab with PyTorch. You can now start building and training your deep learning models using PyTorch in Google Colab.

Additional Resources

• PyTorch Documentation
• Google Colab Documentation