code: def forward(self, x):
      x = F.relu(F.max_pool2d(self.conv1(x), 2))
      x = F.relu(F.max_pool2d(self.conv2_drop(self.conv2(x)), 2))
      x = x.view(-1, 320)
      x = F.relu(self.fc1(x))
      x = F.dropout(x, training=self.training)
      x = self.fc2(x)
      return F.log_softmax(x, dim=1)
  
file_path: clearml/examples/frameworks/pytorch/pytorch_tensorboardx.py
imports: from __future__ import print_function
  import argparse
  import os
  from tempfile import gettempdir
  import torch
  import torch.nn
  import torch.nn.functional
  import torch.optim
  from tensorboardX import SummaryWriter
  from torch.autograd import Variable
  from torchvision import datasets, transforms
  from clearml import Task
label_desc: Use image node_id 2 for calling the Net obj's underlying member method code with example usage: obj.forward(x) and returns: F