class_docstr: Double optimizer class for the Capacitron model.
class_docstr_tok: ["Double","optimizer","class","for","the","Capacitron","model","."]
docstr: Extract parameters that are not the learning rate
docstr_tok: ["Extract","parameters","that","are","not","the","learning","rate"]
code: def extract_optimizer_parameters(params: dict) -> dict:
      """Extract parameters that are not the learning rate"""
      return {k: v for k, v in params.items() if k != "lr"}
  
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 8 for calling the CapacitronOptimizer obj's underlying member method code with example usage: obj.extract_optimizer_parameters(params) and returns: unknown