How to Check the Current Version of PyTorch Last Updated : 23 Jul, 2025 Comments Improve Suggest changes Like Article Like Report PyTorch is a powerful open-source machine learning library developed by Facebook's AI Research lab. It is widely used for deep learning applications such as natural language processing, computer vision, and more. PyTorch is known for its dynamic computation graph, which allows developers to modify the network architecture during runtime, making it highly flexible and intuitive for researchers and developers.Table of ContentUnderstanding PyTorch and Its ImportanceMethods to Check PyTorch Version1. Using Python Code2. Using the pip CommandTroubleshooting Common IssuesUnderstanding PyTorch and Its ImportanceUnderstanding the version of PyTorch installed on your system is crucial for several reasons. Different versions may have varying features, optimizations, and bug fixes. Compatibility with other libraries and tools can also depend on the specific version of PyTorch you are using. Therefore, knowing the exact version can help you ensure that your development environment is set up correctly and that your applications will run smoothly.Why Check the Version?Knowing the version of PyTorch is essential for several reasons:Compatibility: Different versions of PyTorch may have different APIs, features, and bug fixes. Ensuring you are using the correct version can help avoid compatibility issues with other libraries or dependencies.Performance: Newer versions often include performance improvements and optimizations that can significantly impact the speed and efficiency of your models.Documentation and Resources: Understanding which version you are using helps you find relevant documentation and resources, as features and APIs can change between versions.Methods to Check PyTorch VersionThere are several methods to determine the PyTorch version installed on your system. These methods vary depending on how you installed PyTorch and the environment you are using. Below are the most common approaches:1. Using torch.__version__If you have Python installed, one of the simplest ways to check the PyTorch version is by using a small Python script- torch.__version__. This method is particularly useful if you are already working within a Python environment or using a Jupyter notebook. Python import torch print(torch.__version__) Output: This script imports the PyTorch library and prints the version number. The torch.__version__ attribute contains the version information, including any additional details about the CUDA version if applicable2. Using the pip CommandIf you installed PyTorch using the pip package manager, you can easily check the version using the command line. This method is straightforward and does not require writing any code. Python pip show torch Output:pip CommandThis command will display various details about the PyTorch package, including the version numberTroubleshooting Common IssuesWhile checking the PyTorch version is generally straightforward, you might encounter some issues, especially if you are working in different environments or using virtual environments.Import Errors: If you receive an import error when trying to check the version in a terminal or command prompt, it may be due to PyTorch not being installed in the current Python environment. This can happen if you have multiple Python environments or if Jupyter is running in a different environment than your terminal.To resolve this, ensure that you are using the correct Python interpreter. You can specify the version by using python3 instead of python if you have multiple versions installed.Environment-Specific Issues: If you are using virtual environments, make sure that PyTorch is installed in the environment you are currently working in. You can activate the virtual environment and then use the methods described above to check the version.ConclusionKnowing the current version of PyTorch installed on your system is essential for ensuring compatibility and leveraging the latest features and improvements in your machine learning projects. By using Python scripts, the pip command, or the conda command, you can quickly and easily determine the PyTorch version. 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