code: def decode(self, quant):
      quant = self.post_quant_conv(quant)
      dec = self.decoder(quant)
      return dec
  
imports: import numpy
  import torch
  import pytorch_lightning
  import torch.nn.functional
  from contextlib import contextmanager
  from torch.optim.lr_scheduler import LambdaLR
  from ldm.modules.ema import LitEma
  from vqvae_quantize import VectorQuantizer2
  from ldm.modules.diffusionmodules.model import Encoder, Decoder
  from ldm.util import instantiate_from_config
  import ldm.models.autoencoder
  from packaging import version
label_desc: Use image node_id 7 for calling the VQModel obj's underlying member method code with example usage: obj.decode(quant) and returns: dec