code: def on_validation_batch_end(
      self,
      trainer: Trainer,
      pl_module: LightningModule,
      outputs,
      batch,
      batch_idx: int,
      dataloader_idx: int,
  ):
      if self.should_benchmark(trainer):
          val_step_time = time.time() - self.val_step_start_time
          self.val_steps_times.append(val_step_time)
          if trainer.global_step % self.log_every_n_steps == 0:
              logging.info(
                  f"Validation-Step-{trainer.global_step}-Time: {val_step_time} [sec]"
              )
  
file_path: NeMo/examples/multimodal/x_to_nerf/benchmark_callback.py
imports: import time
  from typing import Optional
  from pytorch_lightning import Callback, LightningModule, Trainer
  from nemo.utils import logging
label_desc: Use image node_id 10 for calling the BenchmarkCallback obj's underlying member method code with example usage: obj.on_validation_batch_end(trainer, pl_module, outputs, batch, batch_idx, dataloader_idx) without return types