python-pytorchHow do I use the Python bindings for PyTorch?

PyTorch provides Python bindings for easily writing neural network layers in Python code. To use the Python bindings for PyTorch, you must first install the PyTorch package from PyPI:

pip install torch

Then you can import the torch package into your code and start using it:

import torch

# Create a tensor
x = torch.rand(5, 3)
print(x)

tensor([[0.5604, 0.2538, 0.1654],
        [0.7462, 0.7195, 0.7274],
        [0.9071, 0.9553, 0.8167],
        [0.4599, 0.9845, 0.3122],
        [0.9185, 0.7109, 0.9100]])

The torch package provides a number of functions for creating and manipulating tensors, such as torch.rand() for creating random tensors and torch.sum() for summing tensors. You can also use the torch.nn package for building neural networks.

For more information, see the PyTorch documentation.

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