code: def load_conv(buf, start, conv_model):
      num_w = conv_model.weight.numel()
      num_b = conv_model.bias.numel()
      conv_model.bias.data.copy_(
          torch.from_numpy(buf[start : start + num_b])
      )
      start = start + num_b
      conv_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 5 for calling a global function with example usage: load_conv(buf, start, conv_model) and returns: start