docstr: Send histograms of parameters to tensorboard.
docstr_tok: ["Send","histograms","of","parameters","to","tensorboard","."]
code: def _histograms_to_tensorboard(self, epoch, histogram_parameters):
      """
      Send histograms of parameters to tensorboard.
      """
      for name, param in self._model.named_parameters():
          if name in histogram_parameters:
              self._tensorboard.add_train_histogram(
                  "parameter_histogram/" + name, param, epoch
              )
  
imports: from __future__ import with_statement
  from __future__ import division
  from __future__ import absolute_import
  import logging
  import os
  import shutil
  import time
  import re
  import datetime
  import traceback
  import torch
  import torch.optim.lr_scheduler
  from torch.nn.parallel import replicate, parallel_apply
  from torch.nn.parallel.scatter_gather import scatter_kwargs, gather
  from allennlp.common import Params
  from allennlp.common.checks import ConfigurationError
  from allennlp.common.util import peak_memory_mb, gpu_memory_mb
  from allennlp.common.tqdm import Tqdm
  from allennlp.data.instance import Instance
  from allennlp.data.iterators.data_iterator import DataIterator
  from allennlp.models.model import Model
  from allennlp.nn import util
  from allennlp.training.learning_rate_schedulers import LearningRateScheduler
  from allennlp.training.optimizers import Optimizer
label_desc: Use image node_id 11 for calling the Trainer obj's underlying member method code with example usage: obj._histograms_to_tensorboard(epoch, histogram_parameters) without return types