code: def forward(self, x):
      x = self.encoder(x)
      quant, codebook_loss, quant_stats = self.quantize(x)
      x = self.generator(quant)
      return x, codebook_loss, quant_stats
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from basicsr.utils import get_root_logger
  from basicsr.utils.registry import ARCH_REGISTRY
label_desc: Use image node_id 2 for calling the VQAutoEncoder obj's underlying member method code with example usage: obj.forward(x) and returns: x,  codebook_loss,  quant_stats