code: def forward(self, signal):
      conv_signal = self.conv(signal)
      return conv_signal
  
imports: import torch
  from librosa.filters import mel
  from .audio_processing import dynamic_range_compression
  from .audio_processing import dynamic_range_decompression
  from .stft import STFT
  from .utils import get_mask_from_lengths
label_desc: Use image node_id 2 for calling the ConvNorm obj's underlying member method code with example usage: obj.forward(signal) and returns: conv_signal