code: def _compute_steps_per_epoch(self):
      return int(math.ceil(self.total_size / self.batch_size))
  
file_path: ludwig/ludwig/data/batcher/random_access.py
imports: import logging
  import math
  import torch
  from ludwig.api_annotations import DeveloperAPI
  from ludwig.data.batcher.base import Batcher
label_desc: Use image node_id 5 for calling the RandomAccessBatcher obj's underlying member method code with example usage: obj._compute_steps_per_epoch() and returns: int