class_docstr: Class for sound class embedding training" 
class_docstr_tok: ["Class","for","sound","class","embedding","training","''"]
docstr: Computation steps to get the interpretation spectrogram
docstr_tok: ["Computation","steps","to","get","the","interpretation","spectrogram"]
code: def interpret_computation_steps(self, wavs, print_probability=False):
      """Computation steps to get the interpretation spectrogram"""
      X_stft_logpower, X_stft, X_stft_power = self.preprocess(wavs)
      X_stft_phase = spectral_phase(X_stft)
  
      (
          hcat,
          embeddings,
          predictions,
          class_pred,
      ) = self.classifier_forward(X_stft_logpower)
      if print_probability:
          predictions = F.softmax(predictions, dim=1)
          class_prob = predictions[0, class_pred].item()
          print(f"classifier_prob: {class_prob}")
  
      if self.hparams.use_vq:
          xhat, hcat, _ = self.modules.psi(hcat, class_pred)
      else:
          xhat = self.modules.psi.decoder(hcat)
      xhat = xhat.squeeze(1)
  
      Tmax = xhat.shape[1]
      if self.hparams.use_mask_output:
          xhat = F.sigmoid(xhat)
          X_int = xhat * X_stft_logpower[:, :Tmax, :]
      else:
          xhat = F.softplus(xhat)
          th = xhat.max() * self.hparams.mask_th
          X_int = (xhat > th) * X_stft_logpower[:, :Tmax, :]
  
      return X_int, X_stft_phase, class_pred, X_stft_logpower, xhat
  
imports: import os
  import sys
  import torch
  import torchaudio
  import speechbrain
  from hyperpyyaml import load_hyperpyyaml
  from speechbrain.utils.distributed import run_on_main
  from esc50_prepare import prepare_esc50
  from speechbrain.utils.metric_stats import MetricStats
  from os import makedirs
  import torch.nn.functional
  from speechbrain.processing.NMF import spectral_phase
  import matplotlib.pyplot
label_desc: Use image node_id 4 for calling the InterpreterESC50Brain obj's underlying member method code with example usage: obj.interpret_computation_steps(wavs, print_probability) and returns: X_int,  X_stft_phase,  class_pred,  X_stft_logpower,  xhat