code: def make_schedule(
      self,
      ddim_num_steps,
      ddim_discretize="uniform",
      ddim_eta=0.0,
      verbose=False,
  ):
      if ddim_eta != 0:
          raise ValueError("ddim_eta must be 0 for PLMS")
      super().make_schedule(
          ddim_num_steps,
          ddim_discretize="uniform",
          ddim_eta=0.0,
          verbose=False,
      )
  
imports: import torch
  from nemo.collections.multimodal.models.text_to_image.stable_diffusion.samplers import Sampler
  from nemo.collections.multimodal.models.text_to_image.stable_diffusion.samplers.base_sampler import AbstractBaseSampler
label_desc: Use image node_id 2 for calling the PLMSSampler obj's underlying member method code with example usage: obj.make_schedule(ddim_num_steps, ddim_discretize, ddim_eta, verbose) without return types