code: def thresholding_derivative(x, t, d, thresholding_method="dynamic"):
      x0 = x - batch_mul(d, t)
      corrected_x0 = thresholding_x0(x0, thresholding_method)
      corrected_d = batch_div(x - corrected_x0, t)
      return corrected_d
  
imports: import numpy
  import torch
  from einops import rearrange
  from tqdm import tqdm
  from nemo.collections.multimodal.modules.imagen.sampler.batch_ops import batch_div, batch_mul
  from nemo.collections.multimodal.modules.imagen.sampler.continuous_ddpm import GaussianDiffusionContinuousTimes
label_desc: Use image node_id 3 for calling a global function with example usage: thresholding_derivative(x, t, d, thresholding_method) and returns: corrected_d