pytorch squeeze

PyTorch's `squeeze` function is used to remove dimensions of size 1 from a tensor. It returns a new tensor with the same data but with the specified dimensions removed. Here's an example:

import torch

# Create a tensor with shape (1, 3, 1, 4)
x = torch.randn(1, 3, 1, 4)
print("Before squeeze:", x.shape)

# Squeeze the tensor
y = torch.squeeze(x)
print("After squeeze:", y.shape)

Output:

Before squeeze: torch.Size([1, 3, 1, 4])
After squeeze: torch.Size([3, 4])

In the example above, the `squeeze` function removes the dimensions of size 1 from the tensor `x`, resulting in a new tensor `y` with shape `(3, 4)`.