Checking PyTorch Version in Terminal

Learn how to check the version of PyTorch installed on your system using the terminal. This article provides a comprehensive guide, including code snippets and explanations. …

Learn how to check the version of PyTorch installed on your system using the terminal. This article provides a comprehensive guide, including code snippets and explanations.

As a developer working with deep learning frameworks like PyTorch, it’s essential to keep track of the framework’s version. This ensures that you’re using the correct libraries and dependencies for your projects. In this article, we’ll explore how to check the PyTorch version in terminal, which is a crucial step in any Python development workflow.

Definition of the Concept

PyTorch is an open-source machine learning library developed by Facebook. It provides a dynamic computation graph and automatic differentiation, making it a popular choice for researchers and developers alike. The pytorch package can be installed using pip, the Python package manager, or conda, a package manager specifically designed for data science.

Step-by-Step Explanation

To check the PyTorch version in terminal, follow these simple steps:

Step 1: Open Your Terminal

Open your terminal application. On Linux or macOS, you can use the Terminal app, while on Windows, you can use Command Prompt (cmd) or PowerShell.

Step 2: Verify Python and PyTorch Installation

Type python --version to verify that Python is installed correctly. This should display the version of Python installed on your system.

Next, type pip show pytorch to check if PyTorch is installed using pip. If it’s not installed, you can install it by running pip install torch torchvision.

Step 3: Check PyTorch Version

Once PyTorch is installed, you can check its version by typing python -c "import torch; print(torch.__version__)" or simply torch.__version__. The print() function will display the current version of PyTorch.

Code Explanation

Let’s break down the code snippet:

• python --version: This command checks if Python is installed and displays its version.
• pip show pytorch: This command lists information about the PyTorch package, including its version.
• import torch : In this line of code, we import the torch module using Python’s built-in import statement. The torch library provides a wide range of functions and classes for deep learning in Python.

Code Snippet

Here is an example of how to check PyTorch version:

# Importing the torch library
import torch

# Printing the current version of PyTorch
print(torch.__version__)

To execute this code, copy it into your terminal or command line interface and press Enter. You should see the current version of PyTorch printed out.

Conclusion

Checking the PyTorch version in terminal is a crucial step for Python developers working with deep learning frameworks. By following these simple steps and understanding how to use the pytorch library, you can ensure that your projects are using the correct libraries and dependencies. Remember to keep track of your Python and PyTorch versions by checking them regularly.