pytorch view as

PyTorch's `view_as` function is used to reshape a tensor to the shape of another tensor, which is useful when you want to perform operations that require tensors of the same shape. It returns a new tensor with the same data as the input tensor but with the desired shape.

Here's an example usage:

import torch

# Create a tensor
x = torch.tensor([[1, 2, 3], [4, 5, 6]])

# Create a target tensor with the desired shape
target_shape = torch.tensor([2, 3])

# Reshape x to match the target shape using view_as
reshaped_x = x.view_as(target_shape)

print(reshaped_x)

Output:

tensor([[1, 2, 3],
        [4, 5, 6]])

In this example, `view_as` reshapes the tensor `x` to match the shape of `target_shape`, which is `[2, 3]`. The resulting tensor `reshaped_x` has the same values as `x`, but its shape is now `[2, 3]`.