code: def mean_flat(tensor):
      """
      Take the mean over all non-batch dimensions.
      """
      return tensor.mean(dim=list(range(1, len(tensor.shape))))
  
imports: import enum
  import math
  import numpy
  import torch
  import torch
  from tqdm import tqdm
  from TTS.tts.layers.tortoise.dpm_solver import DPM_Solver, NoiseScheduleVP, model_wrapper
label_desc: Use image node_id 4 for calling a global function with example usage: mean_flat(tensor) and returns: tensor