Installing PyTorch in Raspberry Pi Part 2
In part 1 of this series, we learned how to set up our Raspberry Pi and install the necessary libraries to get started with PyTorch. Now, we will continue the installation process and complete the setup of PyTorch on our Raspberry Pi.
Step 1: Install the dependencies
Before we can install PyTorch, we need to make sure that all the necessary dependencies are installed on our Raspberry Pi. You can run the following commands in your terminal to install the required dependencies:
sudo apt-get update
sudo apt-get install libopenblas-dev libblas-dev m4 cmake cython python3-dev python3-yaml python3-setuptools python3-pip
Step 2: Install PyTorch
Now that we have installed all the required dependencies, we can proceed with the installation of PyTorch. Run the following command in your terminal to install PyTorch using pip:
pip3 install torch torchvision
Step 3: Verify the installation
To ensure that PyTorch has been successfully installed on your Raspberry Pi, you can run the following Python script:
import torch
print(torch.__version__)
If you see the version of PyTorch printed out on your terminal, then congratulations, you have successfully installed PyTorch on your Raspberry Pi!
Conclusion
Congratulations on successfully installing PyTorch on your Raspberry Pi! You are now ready to start building and running machine learning models on your Raspberry Pi. Stay tuned for more tutorials on how to leverage PyTorch for your projects.
is this possible to do without miniforge, if so could you post tutorial?