code: def forward(self, feats, labels=None):
      # feats: (batch_size, num_frames, num_melbins) -> (batch_size, 1, num_frames, num_melbins)
      feats = feats.unsqueeze(1)
  
      if self.task == "sound-cls":
          embeddings = self.cnn10(feats)
          embeddings = self.dropout(embeddings)
          logits = self.fc(embeddings)
          probs = F.softmax(logits, axis=1)
  
          if labels is not None:
              loss = self.criterion(logits, labels)
              correct = self.metric.compute(probs, labels)
              acc = self.metric.update(correct)
              return probs, loss, {"acc": acc}
          return probs
      else:
          audioset_logits = self.cnn10(feats)
          return audioset_logits
  
file_path: PaddleHub/modules/audio/audio_classification/PANNs/cnn10/module.py
imports: import math
  import os
  from typing import Dict
  import paddle
  import paddle.nn
  import paddle.nn.functional
  from panns_cnn10.network import CNN10
  from paddlehub.env import MODULE_HOME
  from paddlehub.module.audio_module import AudioClassifierModule
  from paddlehub.module.module import moduleinfo
  from paddlehub.utils.log import logger
label_desc: Use image node_id 2 for calling the PANN obj's underlying member method code with example usage: obj.forward(feats, labels) and returns: probs, audioset_logits, probs,  loss,  dict