code: def log_loss(self, cur_batch, loss, count):
      pass
  
imports: import torch
  from torch import nn
  from torch.optim.optimizer import Optimizer
  from torch.utils.data import DataLoader, Dataset
  from fairscale.experimental.nn.ampnet_pipe.pipe import AMPnetPipe
  from fairscale.fair_dev.testing.testing import get_worker_map, torch_spawn
label_desc: Use image node_id 4 for calling the AMPnetDelegate obj's underlying member method code with example usage: obj.log_loss(cur_batch, loss, count) without return types