code: def get_input(self, batch, k):
      x = batch[k]
      if len(x.shape) == 3:
          x = x[..., None]
      x = (
          x.permute(0, 3, 1, 2)
          .to(memory_format=torch.contiguous_format)
          .float()
      )
      return x
  
imports: import torch
  import pytorch_lightning
  import torch.nn.functional
  from contextlib import contextmanager
  from taming.modules.vqvae.quantize import VectorQuantizer2
  from ldm.modules.diffusionmodules.model import Encoder, Decoder
  from ldm.modules.distributions.distributions import DiagonalGaussianDistribution
  from ldm.util import instantiate_from_config
label_desc: Use image node_id 6 for calling the AutoencoderKL obj's underlying member method code with example usage: obj.get_input(batch, k) and returns: x