code: def push_opt_to_tb(self):
      opt_str = options.opt_to_string(self.opt)
      tb_datapack = tensorboard_helper.TensorboardDatapack()
      tb_datapack.set_training(False)
      tb_datapack.set_iteration(self.iteration)
      tb_datapack.add_text({"options": opt_str})
      self.tb_pusher.push_to_tensorboard(tb_datapack)
  
imports: import os
  import math
  import time
  import random
  import tqdm
  import torch
  import torch.nn.functional
  import numpy
  import torchvision.utils
  import igl
  import lpips
  from utils import utils, render_utils, ray_utils
  from trainers import tensorboard_helper
  from options import options
  from cameras.captures import ResizedPinholeCapture
  from cameras.pinhole_camera import PinholeCamera
  from models.vanilla import weight_reset
  from utils.constant import HARD_SURFACE_OFFSET, PATCH_SIZE, PATCH_SIZE_SQUARED, CANONICAL_ZOOM_FACTOR, CANONICAL_CAMERA_DIST
label_desc: Use image node_id 2 for calling the HumanNeRFTrainer obj's underlying member method code with example usage: obj.push_opt_to_tb() without return types