code: def inference(self, cond_features):
      cond_features = cond_features.to(self.layers[1].weight.device)
      cond_features = torch.nn.functional.pad(
          cond_features,
          (self.inference_padding, self.inference_padding),
          "replicate",
      )
      return self.pqmf_synthesis(self.layers(cond_features))
  
file_path: TTS/TTS/vocoder/models/multiband_melgan_generator.py
imports: import torch
  from TTS.vocoder.models.melgan_generator import MelganGenerator
  from TTS.vocoder.layers.pqmf import PQMF
label_desc: Use image node_id 4 for calling the MultibandMelganGenerator obj's underlying member method code with example usage: obj.inference(cond_features) and returns: self