code: def forward(self, i):
      i = self.cn1(i)
      i = F.relu(i)
      i = F.max_pool2d(i, 2)
      i = self.cn2(i)
      i = F.relu(i)
      i = F.max_pool2d(i, 2)
      i = i.view(len(i), -1)
      i = self.fc1(i)
      i = F.log_softmax(i, dim=1)
      return i
  
file_path: pytorch-tensorboardx/examples/demo_embedding.py
imports: import torch
  import torch.nn
  import torch.nn.functional
  import os
  from torch.autograd.variable import Variable
  from tensorboardX import SummaryWriter
  from torch.utils.data import TensorDataset, DataLoader
label_desc: Use image node_id 2 for calling the M obj's underlying member method code with example usage: obj.forward(i) and returns: i