class_docstr: Removes model bias from audio produced with waveglow 
class_docstr_tok: ["Removes","model","bias","from","audio","produced","with","waveglow"]
code: def forward(self, audio, strength=0.1):
      audio_spec, audio_angles = self.stft.transform(
          audio.cuda().float()
      )
      audio_spec_denoised = audio_spec - self.bias_spec * strength
      audio_spec_denoised = torch.clamp(audio_spec_denoised, 0.0)
      audio_denoised = self.stft.inverse(
          audio_spec_denoised, audio_angles
      )
      return audio_denoised
  
imports: import torch
  from .layers import STFT
label_desc: Use image node_id 2 for calling the Denoiser obj's underlying member method code with example usage: obj.forward(audio, strength) and returns: audio_denoised