class_docstr: Basic MNIST model from github
  https://github.com/rickiepark/pytorch-examples/blob/master/mnist.ipynb
class_docstr_tok: ["Basic","MNIST","model","from","github","https",":","\/\/github.com\/rickiepark\/pytorch-examples\/blob\/master\/mnist.ipynb"]
code: def forward(self, x):
      x = F.max_pool2d(F.relu(self.conv1(x)), 2)
      x = F.max_pool2d(F.relu(self.conv2(x)), 2)
      x = x.view(-1, 64 * 7 * 7)  # reshape Variable
      x = F.relu(self.fc1(x))
      x = self.fc2(x)
      return F.log_softmax(x, dim=-1)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from __future__ import unicode_literals
  import warnings
  import numpy
  import tensorflow
  import torch
  from torch import nn
  import torch.nn.functional
  from torch import optim
  from torch.autograd import Variable
  from torchvision import datasets, transforms
  from cleverhans.attacks import FastGradientMethod
  from cleverhans.compat import flags
  from cleverhans.model import CallableModelWrapper
  from cleverhans.utils import AccuracyReport
  from cleverhans.utils_pytorch import convert_pytorch_model_to_tf
label_desc: Use image node_id 2 for calling the PytorchMnistModel obj's underlying member method code with example usage: obj.forward(x) and returns: F