python-pytorchHow do I use PyTorch with Python 3.7?
PyTorch is a deep learning library that uses Python 3.7 and provides support for GPU acceleration. To use PyTorch with Python 3.7, you will need to install the PyTorch package from the official PyTorch website.
Example code
import torch
x = torch.rand(5, 3)
print(x)
Output example
tensor([[0.8782, 0.1432, 0.8332],
[0.4125, 0.9187, 0.0300],
[0.9356, 0.9267, 0.7232],
[0.5354, 0.7307, 0.7607],
[0.7261, 0.9087, 0.4330]])
The code above imports the PyTorch library and creates a random 5x3 tensor. The output of the code is a 5x3 tensor of random numbers.
Code explanation
import torch
: imports the PyTorch library.x = torch.rand(5, 3)
: creates a 5x3 tensor of random numbers.print(x)
: prints the 5x3 tensor of random numbers.
Helpful links
More of Python Pytorch
- How can I use Yolov5 with PyTorch?
- How can I use Python and PyTorch to create a U-Net architecture?
- How can I use Python, PyTorch, and YOLOv5 to build an object detection model?
- How can I use Python and PyTorch to parse XML files?
- How can I use PyTorch with Python 3.10?
- How do I install a Python PyTorch .whl file?
- How can I use Python and PyTorch to create an XOR gate?
- How can I use Python PyTorch with CUDA?
- What is the most compatible version of Python to use with PyTorch?
- How can I use Python and PyTorch together with Xorg?
See more codes...