class_docstr: Solver for compression task.
  
  The diffusion task allows for MultiBand diffusion model training.
  
  Args:
      cfg (DictConfig): Configuration.
class_docstr_tok: ["Solver","for","compression","task",".","The","diffusion","task","allows","for","MultiBand","diffusion","model","training",".","Args",":","cfg","(","DictConfig",")",":","Configuration","."]
docstr: Build audio dataloaders for each stage.
docstr_tok: ["Build","audio","dataloaders","for","each","stage","."]
code: def build_dataloaders(self):
      """Build audio dataloaders for each stage."""
      self.dataloaders = builders.get_audio_datasets(self.cfg)
  
imports: import typing
  import flashy
  import julius
  import omegaconf
  import torch
  import torch.nn.functional
  from .None import builders
  from .None import base
  from ..None import models
  from ..modules.diffusion_schedule import NoiseSchedule
  from ..metrics import RelativeVolumeMel
  from ..models.builders import get_processor
  from ..utils.samples.manager import SampleManager
  from ..solvers.compression import CompressionSolver
label_desc: Use image node_id 5 for calling the DiffusionSolver obj's underlying member method code with example usage: obj.build_dataloaders() without return types