code: def __init__(self, in_d, hidden):
      # output dim = 1
      super(Net, self).__init__()
      dims = [in_d] + hidden + [1]
      self.layers = nn.ModuleList(
          [nn.Linear(dims[i - 1], dims[i]) for i in range(len(dims))]
      )
  
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 1 to create a new Net object from inherited base classes: nn with example: obj = Net(in_d, hidden)