code: def _save_params(self, my_dict):
      my_dict = {k: str(v) for k, v in my_dict.items()}
      with open(
          os.path.join(self.logs["info"], "params.txt"), "w"
      ) as f:
          json.dump(my_dict, f, indent=4)
  
imports: from __future__ import print_function
  from __future__ import division
  import os
  import json
  import logging
  import time
  import torch
  import numpy
  from tqdm import tqdm
  import matplotlib.pyplot
  from nnest.trainer import Trainer
  from nnest.utils.evaluation import acceptance_rate, effective_sample_size, mean_jump_distance, gelman_rubin_diagnostic
  from nnest.utils.logger import create_logger, get_or_create_run_dir
label_desc: Use image node_id 2 for calling the Sampler obj's underlying member method code with example usage: obj._save_params(my_dict) without return types