How to Install PyTorch in Anaconda Python (Easy Method)

If you want to work with deep learning and machine learning models, PyTorch is an essential library to have. PyTorch is a popular open-source machine learning framework that provides a flexible and easy-to-use platform for building and deploying deep learning models. In this article, we will walk you through the easy method of installing PyTorch in Anaconda Python.

Step 1: Install Anaconda

If you haven’t already installed Anaconda, you can download and install it from the official website here. Anaconda is a popular open-source distribution of Python and R programming languages for data science and machine learning applications. It comes with a package manager and environment manager, making it easy to manage different Python and R environments and packages.

Step 2: Create a New Conda Environment

Once you have Anaconda installed, you can create a new conda environment for your PyTorch project. Open a terminal or command prompt and run the following command:

conda create -n myenv python=3.7

Replace “myenv” with the desired name for your environment. This command will create a new conda environment with Python 3.7 installed.

Step 3: Activate the Conda Environment

After creating the conda environment, you can activate it using the following command:

conda activate myenv

Replace “myenv” with the name of your conda environment. Activating the environment will ensure that any Python packages you install will be specific to this environment and won’t affect other environments on your system.

Step 4: Install PyTorch

Now that you have activated your conda environment, you can install PyTorch using the conda package manager. Run the following command to install PyTorch with the desired version:

conda install pytorch torchvision torchaudio cudatoolkit=10.2 -c pytorch

This command will install PyTorch along with torchvision and torchaudio, as well as the necessary CUDA toolkit for GPU support. Replace “cudatoolkit=10.2” with the version of CUDA toolkit that matches your system requirements.

Step 5: Verify the Installation

Once the installation is complete, you can verify that PyTorch is installed correctly by opening a Python interpreter within your conda environment and running the following command:

import torch

If the command runs without any errors, it means that PyTorch has been successfully installed in your conda environment.

Conclusion

Installing PyTorch in Anaconda Python is a straightforward process that only requires a few simple steps. By creating a dedicated conda environment for your PyTorch project, you can ensure that your Python packages are isolated and well-managed. With PyTorch installed, you can start building and deploying deep learning models for a variety of applications.