code: def load_fc(buf, start, fc_model):
      num_w = fc_model.weight.numel()
      num_b = fc_model.bias.numel()
      fc_model.bias.data.copy_(
          torch.from_numpy(buf[start : start + num_b])
      )
      start = start + num_b
      fc_model.weight.data.copy_(
          torch.from_numpy(buf[start : start + num_w])
      )
      start = start + num_w
      return start
  
file_path: MMdnn/mmdnn/conversion/darknet/cfg.py
imports: import torch
  from collections import OrderedDict
label_desc: Use image node_id 10 for calling a global function with example usage: load_fc(buf, start, fc_model) and returns: start