Update class name and assign back to vars

from modules.shared import opts, cmd_opts, state

import modules.shared as shared

from modules.script_callbacks import CGFDenoiserParams, cfg_denoiser_callback

from modules.script_callbacks import CFGDenoiserParams, cfg_denoiser_callback

SamplerData = namedtuple('SamplerData', ['name', 'constructor', 'aliases', 'options'])

        image_cond_in = torch.cat([torch.stack([image_cond[i] for _ in range(n)]) for i, n in enumerate(repeats)] + [image_cond])

        sigma_in = torch.cat([torch.stack([sigma[i] for _ in range(n)]) for i, n in enumerate(repeats)] + [sigma])

        cfg_denoiser_callback(CGFDenoiserParams(x_in, image_cond_in, sigma_in, state.sampling_step, state.sampling_steps))

        denoiser_params = CFGDenoiserParams(x_in, image_cond_in, sigma_in, state.sampling_step, state.sampling_steps)

        cfg_denoiser_callback(denoiser_params)

        x_in = denoiser_params.x

        image_cond_in = denoiser_params.image_cond

        sigma_in = denoiser_params.sigma

        if tensor.shape[1] == uncond.shape[1]:

            cond_in = torch.cat([tensor, uncond])