class_docstr: Double optimizer class for the Capacitron model.
class_docstr_tok: ["Double","optimizer","class","for","the","Capacitron","model","."]
code: def step(self):
      # Update param groups to display the correct learning rate
      self.param_groups = self.primary_optimizer.param_groups
      self.primary_optimizer.step()
  
file_path: TTS/TTS/utils/capacitron_optimizer.py
imports: from typing import Generator
  from trainer.trainer_utils import get_optimizer
label_desc: Use image node_id 3 for calling the CapacitronOptimizer obj's underlying member method code with example usage: obj.step() without return types