code: def configure_optimizers(self):
      optimizer = torch.optim.Adam(
          self.model.parameters(), lr=0.001, weight_decay=1e-8
      )
      return {
          "optimizer": optimizer,
      }
  
file_path: audio/examples/dnn_beamformer/model.py
imports: import ci_sdr
  import lightning.pytorch
  import torch
  from asteroid.losses.stoi import NegSTOILoss
  from asteroid.masknn import TDConvNet
  from torchaudio.transforms import InverseSpectrogram, PSD, SoudenMVDR, Spectrogram
label_desc: Use image node_id 4 for calling the DNNBeamformerLightningModule obj's underlying member method code with example usage: obj.configure_optimizers() and returns: dict