code: def to_rgb(self, x):
      assert self.image_key == "segmentation"
      if not hasattr(self, "colorize"):
          self.register_buffer(
              "colorize", torch.randn(3, x.shape[1], 1, 1).to(x)
          )
      x = F.conv2d(x, weight=self.colorize)
      x = 2.0 * (x - x.min()) / (x.max() - x.min()) - 1.0
      return x
  
imports: from contextlib import contextmanager
  import pytorch_lightning
  import torch
  import torch.nn.functional
  from nemo.collections.multimodal.modules.stable_diffusion.diffusionmodules.model import Decoder, Encoder
  from nemo.collections.multimodal.modules.stable_diffusion.distributions.distributions import DiagonalGaussianDistribution
  from nemo.collections.multimodal.parts.stable_diffusion.utils import instantiate_from_config
label_desc: Use image node_id 15 for calling the AutoencoderKL obj's underlying member method code with example usage: obj.to_rgb(x) and returns: x