code: def forward(self, x):
      out = x
      out = self.convs(out)
      out = out.view(-1, 12 * 12 * 64)
      out = self.fcs(out)
      return out
  
file_path: modAL/examples/pytorch_integration.py
imports: import numpy
  import torch
  from modAL.models import ActiveLearner
  from skorch import NeuralNetClassifier
  from torch import nn
  from torch.utils.data import DataLoader
  from torchvision.datasets import MNIST
  from torchvision.transforms import ToTensor
label_desc: Use image node_id 2 for calling the Torch_Model obj's underlying member method code with example usage: obj.forward(x) and returns: out