docstr: Test TensorBoardParameterMonitor callback with train entry point
code: def test_monitor_train(self) -> None:
      """
      Test TensorBoardParameterMonitor callback with train entry point
      """
      input_dim = 2
      dataset_len = 10
      batch_size = 2
      max_epochs = 2
  
      my_unit = DummyTrainUnit(input_dim=input_dim)
      summary_writer = MagicMock(spec=SummaryWriter)
      monitor = TensorBoardParameterMonitor(logger=summary_writer)
  
      dataloader = generate_random_dataloader(
          dataset_len, input_dim, batch_size
      )
      train(
          my_unit,
          dataloader,
          max_epochs=max_epochs,
          callbacks=[monitor],
      )
      # pyre-fixme[6]: For 2nd argument expected `SupportsDunderLT[Variable[_T]]`
      #  but got `int`.
      self.assertGreater(summary_writer.add_histogram.call_count, 0)
  
file_path: tnt/tests/framework/callbacks/test_tensorboard_parameter_monitor.py
imports: import unittest
  from unittest.mock import MagicMock
  from torch.utils.tensorboard import SummaryWriter
  from torchtnt.framework._test_utils import DummyTrainUnit, generate_random_dataloader
  from torchtnt.framework.callbacks.tensorboard_parameter_monitor import TensorBoardParameterMonitor
  from torchtnt.framework.train import train
label_desc: Use image node_id 1 for calling the TensorBoardParameterMonitorTest obj's underlying member method code with example usage: obj.test_monitor_train() without return types