def pixel_unshuffle(x, scale):
    """ Pixel unshuffle.

    Args:
        x (Tensor): Input feature with shape (b, c, hh, hw).
        scale (int): Downsample ratio.

    Returns:
        Tensor: the pixel unshuffled feature.
    """
    b, c, hh, hw = x.size()
    out_channel = c * (scale**2)
    assert hh % scale == 0 and hw % scale == 0
    h = hh // scale
    w = hw // scale
    x_view = x.view(b, c, h, scale, w, scale)
    return x_view.permute(0, 1, 3, 5, 2, 4).reshape(b, out_channel, h, w)
Pixel unshuffle.

Args:
x (Tensor): Input feature with shape (b, c, hh, hw).
scale (int): Downsample ratio.

Returns:
Tensor: the pixel unshuffled feature.
opensora/models/super_resolution/basicsr/archs/arch_util.py