python-pytorchHow do I use PyTorch with Python version 3.11?

PyTorch is a deep learning library that works with Python version 3.11 and higher. To use PyTorch with Python 3.11, you need to install the library using the pip package manager.

Example

pip install torch

The above command will install the latest version of PyTorch on your system. Once installed, you can import the library in your Python code and start using it.

Example

import torch

# Create a tensor
x = torch.tensor([[2, 3], [4, 5]])
print(x)

# Output
tensor([[2, 3],
        [4, 5]])

The above code snippet creates a tensor using the torch.tensor() function. You can also create tensors from existing data structures such as lists.

Example

# Create a tensor from a list
x = torch.tensor([[1, 2], [3, 4]])
print(x)

# Output
tensor([[1, 2],
        [3, 4]])

Once the tensor is created, you can perform various operations on it such as matrix multiplication, transpose, and more.

For more information on using PyTorch with Python 3.11, please refer to the official documentation.

Edit this code on GitHub