code: def forward(self, x):
      x = self.flatten(x)
      logits = self.linear_relu_stack(x)
      return logits
  
file_path: guildai/examples/pytorch-quickstart/train.py
imports: from binascii import crc32
  from itertools import chain
  import torch
  from torch import nn
  from torch.utils.data import DataLoader
  from torchvision import datasets
  from torchvision.transforms import ToTensor
label_desc: Use image node_id 2 for calling the NeuralNetwork obj's underlying member method code with example usage: obj.forward(x) and returns: logits