code: def load_checkpoint(
      self, config, checkpoint_path, eval=False
  ):  # pylint: disable=unused-argument, redefined-builtin
      state = torch.load(
          checkpoint_path, map_location=torch.device("cpu")
      )
      self.load_state_dict(state["model"])
      self.decoder.set_r(state["r"])
      if eval:
          self.eval()
          assert not self.training
  
imports: import copy
  from abc import ABC, abstractmethod
  import torch
  from torch import nn
  from TTS.tts.utils.generic_utils import sequence_mask
label_desc: Use image node_id 7 for calling the TacotronAbstract obj's underlying member method code with example usage: obj.load_checkpoint(config, checkpoint_path, eval) without return types