class_docstr: Create a naive dataset for the benchmark
class_docstr_tok: ["Create","a","naive","dataset","for","the","benchmark"]
code: def __len__(self):
      return self.size
  
file_path: ray/python/ray/train/examples/pytorch/torch_data_prefetch_benchmark/auto_pipeline_for_host_to_device_data_transfer.py
imports: import argparse
  import warnings
  import numpy
  import torch
  import torch.nn
  import ray.train
  from ray.train import ScalingConfig
  from ray.train.torch import TorchTrainer
label_desc: Use image node_id 3 for calling the BenchmarkDataset obj's underlying member method code with example usage: obj.__len__() and returns: self