torch.normal

torch.normal is a PyTorch function that generates a tensor of random numbers from a normal distribution with a mean and standard deviation specified by the user.

The syntax for torch.normal is as follows:

torch.normal(mean, std, out=None)

- mean: the mean of the normal distribution. This can be a scalar or a tensor with the same shape as the desired output tensor.
- std: the standard deviation of the normal distribution. This can be a scalar or a tensor with the same shape as the desired output tensor.
- out (optional): the output tensor. If provided, the random numbers will be generated into this tensor rather than a new one.

Example usage:

import torch

# Generate a tensor of size (3, 4) with random numbers from a normal distribution
# with mean 0 and standard deviation 1
x = torch.normal(0, 1, size=(3, 4))
print(x)

Output:

tensor([[-1.0262, -0.7695,  0.1677, -0.0408],
        [-1.2485, -1.4555,  0.2709,  0.2705],
        [-1.6543, -1.0819,  1.0578, -0.3285]])