Install PyTorch and Verify It Imports
pip install torch and a one-line sanity check.
Install PyTorch and Verify It Imports is a free Deep Learning Academy lesson on CoddyKit — lesson 1 of 4. You can read the complete lesson below for free — then practise it hands-on in the browser with a built-in code editor and a 24/7 AI tutor. It is part of the Deep Learning Academy learning path, one of 4 lessons in the course, and your progress syncs across the web and the CoddyKit app.
Why PyTorch First
Before you train anything, you need a toolkit. PyTorch is the library you will use to build and train every model in this course. 🔧
It's Just a Python Package
PyTorch installs like any other Python package, so you grab it with pip. No special compiler or magic setup is needed to get started.
The Install Command
This single pip install line pulls down PyTorch and its companion packages so your environment is ready to build models.
pip install torch torchvision torchaudioWhat torchvision Adds
The torchvision package ships datasets, image transforms, and pretrained models, so you rarely start an image project from scratch.
Import It in Code
Once installed, you bring PyTorch into any script with one line. The convention is to import torch and use it directly, no alias needed.
import torchThe One-Line Sanity Check
To prove the install worked, print the version. If a number appears instead of an error, PyTorch is alive and ready.
import torch
print(torch.__version__)Reading the Version
A version like 2.3.0 means a successful install. The first number is the major version, which signals big, sometimes breaking, changes.
When Import Fails
A ModuleNotFoundError means Python cannot find torch. Usually you installed into a different environment than the one running your code.
Use a Virtual Environment
A virtual environment keeps PyTorch and its versions isolated per project, so one upgrade never breaks another app on your machine.
python -m venv .venvActivate, Then Install
Always activate the environment before you pip install, so the package lands where your scripts will actually look for it.
source .venv/bin/activateCPU Build Is Enough for Now
The default CPU build runs everything in this course. You only need a GPU-specific install later, once your models grow larger.
Quick Check
Let's confirm you know the fastest way to test the install.
Recap
You installed PyTorch with pip in a virtual environment and confirmed it works by printing its version. Your workshop is open for business. 🎉
Frequently asked questions
Is the “Install PyTorch and Verify It Imports” lesson free?
Yes — the full text of “Install PyTorch and Verify It Imports” is free to read here on the web, and the Deep Learning Academy course includes 4 lessons in total. To practise it interactively (a built-in code editor and a 24/7 AI tutor) and unlock the rest of the Deep Learning Academy course, upgrade to CoddyKit PRO.
What will I learn in “Install PyTorch and Verify It Imports”?
pip install torch and a one-line sanity check. You practise Deep Learning Academy with hands-on code you run directly in the browser, and a 24/7 AI tutor answers your questions as you work through the lesson.
Do I need any experience to start Deep Learning Academy?
No prior experience is required. Deep Learning Academy on CoddyKit is structured for beginners through advanced learners; this is — lesson 1 of 4, so you can start here or from the beginning and move at your own pace.
How long does the “Install PyTorch and Verify It Imports” lesson take?
Most CoddyKit lessons take about 5–10 minutes. Each one is bite-sized and interactive, so you make steady progress and pick up exactly where you left off across the web and the app.
Can I write and run code in this Deep Learning Academy lesson?
Yes. Every Deep Learning Academy lesson includes a built-in code editor, so you write and run real code right in your browser and get instant AI feedback — no local setup required.
All lessons in this course
- Install PyTorch and Verify It Imports
- CPU vs GPU vs MPS: Pick a Device
- Notebooks, Scripts & Reproducible Seeds
- Your First torch.tensor