How to Import PyTorch: Simple Syntax and Examples

To import PyTorch, use the code import torch. This gives you access to all PyTorch functions and classes under the torch name.

Syntax

The basic syntax to import PyTorch is import torch. This imports the main PyTorch library and lets you use its features by prefixing with torch..

You can also import specific parts, like torch.nn for neural networks or torch.optim for optimization tools, using import torch.nn or from torch import nn.

python

import torch

Example

This example shows how to import PyTorch and check its version to confirm the import worked.

python

import torch

print(f"PyTorch version: {torch.__version__}")

Output

PyTorch version: 2.0.1

Common Pitfalls

One common mistake is trying to import PyTorch with a wrong name like import pytorch, which will cause an error because the package name is torch.

Another issue is not installing PyTorch before importing it, which leads to a ModuleNotFoundError. Always install PyTorch first using pip install torch or the official instructions.

python

# Wrong: causes ModuleNotFoundError
import pytorch

# Correct import
import torch

Quick Reference

Remember these tips for importing PyTorch:

• Use import torch to access PyTorch.
• Use from torch import nn to import neural network modules.
• Always install PyTorch before importing.
• Check your PyTorch version with torch.__version__.

Key Takeaways

Always import PyTorch using import torch.

Check PyTorch installation before importing to avoid errors.

Use torch.__version__ to verify the installed PyTorch version.

Import specific modules like torch.nn when needed for clarity.

Avoid using incorrect names like import pytorch which cause errors.