code: def forward(self, inputs, targets):
      return self.nll_loss(F.log_softmax(inputs), targets)
  
imports: import os
  from math import ceil
  import numpy
  import torch
  import torch.nn.functional
  from torch import nn
label_desc: Use image node_id 2 for calling the CrossEntropyLoss2d obj's underlying member method code with example usage: obj.forward(inputs, targets) and returns: self