code: def forward(self, input, timesteps, **kwargs):
      model_output = self.inner_model.apply_model(
          input, timesteps, **kwargs
      )
      e_t = self.predict_eps_from_z_and_v(
          input, timesteps, model_output
      )
      return e_t
  
imports: import torch
  import inspect
  import sys
  from modules import devices, sd_samplers_common, sd_samplers_timesteps_impl
  from modules.sd_samplers_cfg_denoiser import CFGDenoiser
  from modules.script_callbacks import ExtraNoiseParams, extra_noise_callback
  from modules.shared import opts
  import modules.shared
label_desc: Use image node_id 3 for calling the CompVisTimestepsVDenoiser obj's underlying member method code with example usage: obj.forward(input, timesteps) and returns: e_t