code: def fined_loss_computation(logits_list, losses):
      loss_logit = logits_list[0]
      loss_label = logits_list[1]
  
      loss_type = losses["types"][0]
      loss_weight = losses["coef"][0]
  
      return [loss_weight * loss_type(loss_logit, loss_label)]
  
file_path: PaddleSeg/contrib/RSSegBenchmark/c2fnet/core/train.py
imports: import os
  import time
  from collections import deque
  import shutil
  import paddle
  import paddle.nn.functional
  from paddleseg.utils import TimeAverager, calculate_eta, resume, logger, worker_init_fn, train_profiler, op_flops_funs
  from core.val import evaluate
label_desc: Use image node_id 3 for calling a global function with example usage: fined_loss_computation(logits_list, losses) and returns: list