code: def get_noised_input(
      self,
      sigmas_bc: torch.Tensor,
      noise: torch.Tensor,
      input: torch.Tensor,
  ) -> torch.Tensor:
      noised_input = input + noise * sigmas_bc
      return noised_input
  
file_path: generative-models/sgm/modules/diffusionmodules/loss.py
imports: from typing import Dict, List, Optional, Tuple, Union
  import torch
  import torch.nn
  from ...modules.autoencoding.lpips.loss.lpips import LPIPS
  from ...modules.encoders.modules import GeneralConditioner
  from ...util import append_dims, instantiate_from_config
  from .denoiser import Denoiser
label_desc: Use image node_id 2 for calling the StandardDiffusionLoss obj's underlying member method code with example usage: obj.get_noised_input(sigmas_bc, noise, input) and returns: noised_input