基于YOLOv5的目标检测文档进行的时候出错如何解决？

你好：
      按Milk-V Duo开发板实战——基于YOLOv5的目标检测 安装好yolov5环境，在执行main.py的时候会出错，能否帮忙看下

main.py:
import torch
from models.experimental import attempt_download
model = torch.load(attempt_download("./yolov5n.pt"),map_location=torch.device('cpu'))['model'].float()
model.eval()
model.model[-1].export = True
torch.jit.trace(model,torch.rand(1, 3, 640, 640), strict=False).save("./yolov5n_jit.pt")

执行出错的log：
(py39_yolov5) D:yolov5-master-milkv>python main.py
Traceback (most recent call last):
  File "D:yolov5-master-milkvmain.py", line 6, in
    torch.jit.trace(model,torch.rand(1, 3, 640, 640), strict=False).save("./yolov5n_jit.pt")
  File "D:ProgramDataAnaconda3envspy39_yolov5libsite-packagestorchjit_trace.py", line 750, in trace
    return trace_module(
  File "D:ProgramDataAnaconda3envspy39_yolov5libsite-packagestorchjit_trace.py", line 967, in trace_module
    module._c._create_method_from_trace(
  File "D:ProgramDataAnaconda3envspy39_yolov5libsite-packagestorchnnmodulesmodule.py", line 1130, in _call_impl
    return forward_call(*input, **kwargs)
  File "D:ProgramDataAnaconda3envspy39_yolov5libsite-packagestorchnnmodulesmodule.py", line 1118, in _slow_forward
    result = self.forward(*input, **kwargs)
  File "D:yolov5-master-milkvmodelsyolo.py", line 210, in forward
    return self._forward_once(x, profile, visualize)  # single-scale inference, train
  File "D:yolov5-master-milkvmodelsyolo.py", line 122, in _forward_once
    x = m(x)  # run
  File "D:ProgramDataAnaconda3envspy39_yolov5libsite-packagestorchnnmodulesmodule.py", line 1130, in _call_impl
    return forward_call(*input, **kwargs)
  File "D:ProgramDataAnaconda3envspy39_yolov5libsite-packagestorchnnmodulesmodule.py", line 1118, in _slow_forward
    result = self.forward(*input, **kwargs)
  File "D:ProgramDataAnaconda3envspy39_yolov5libsite-packagestorchnnmodulesupsampling.py", line 154, in forward
    recompute_scale_factor=self.recompute_scale_factor)
  File "D:ProgramDataAnaconda3envspy39_yolov5libsite-packagestorchnnmodulesmodule.py", line 1207, in __getattr__
    raise AttributeError("'{}' object has no attribute '{}'".format(
AttributeError: 'Upsample' object has no attribute 'recompute_scale_factor'


谢谢！