python-pytorchHow do I quickly get started with Python and PyTorch?
To quickly get started with Python and PyTorch, follow the steps below:
- Install Python 3.7 or higher from python.org.
- Install PyTorch from pytorch.org depending on your system configuration.
- Check your installation with a simple program:
import torch
x = torch.rand(5, 3)
print(x)
Output example
tensor([[0.6388, 0.4874, 0.8468],
[0.6561, 0.8299, 0.1067],
[0.9170, 0.9279, 0.7705],
[0.9079, 0.9336, 0.2668],
[0.0090, 0.8908, 0.9288]])
- Start coding with PyTorch. For example, you can use the following code to create a tensor and print it:
import torch
x = torch.tensor([[1, 2, 3], [4, 5, 6]])
print(x)
Output example
tensor([[1, 2, 3],
[4, 5, 6]])
- Find tutorials and documentation on pytorch.org to learn more about PyTorch.
- Join the PyTorch community to connect with other PyTorch users and get help if needed.
- Explore the PyTorch examples to understand the basics of using PyTorch.
More of Python Pytorch
- What is the most compatible version of Python to use with PyTorch?
- How do I remove PyTorch from my Python environment?
- How can I use Python PyTorch without CUDA?
- How do I show the version of PyTorch I am using?
- How can I use Python and PyTorch to implement Principal Component Analysis (PCA)?
- How do I use PyTorch with Python 3.9?
- How can I use Numba and PyTorch together for software development?
- How do I use Pytorch with Python 3.11 on Windows?
- How can I use Yolov5 with PyTorch?
- How can I use Python, PyTorch, and YOLOv5 to build an object detection model?
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