class_docstr: The SpeechBrain class to train Non-Negative Factorization with Amortized Inference
docstr: This function calculates the forward pass for NMF
code: def compute_forward(self, batch, stage=sb.Stage.TRAIN):
      """
      This function calculates the forward pass for NMF
      """
  
      batch = batch.to(self.device)
      wavs, lens = batch.sig
  
      X_stft = self.hparams.compute_stft(wavs)
      X_stft_power = self.hparams.compute_stft_mag(X_stft)
      X_stft_tf = torch.log1p(X_stft_power)
      z = self.hparams.nmf_encoder(X_stft_tf.permute(0, 2, 1))
      Xhat = self.hparams.nmf_decoder(z)
  
      return Xhat
  
file_path: speechbrain/recipes/ESC50/interpret/train_nmf.py
imports: import sys
  import torch
  import speechbrain
  from hyperpyyaml import load_hyperpyyaml
  from speechbrain.utils.distributed import run_on_main
  from esc50_prepare import prepare_esc50
  from train_l2i import dataio_prep
label_desc: Use image node_id 1 for calling the NMFBrain obj's underlying member method code with example usage: obj.compute_forward(batch, stage) and returns: Xhat