You need to enable JavaScript to run this app.
优惠活动
大模型
产品
解决方案
定价
更多

PyTorch 2.0.0+Transformers 4.41.0出现AttributeError问题求助

解决AttributeError: module 'torch.utils._pytree' has no attribute 'register_pytree_node'问题

问题详情

  • 当前使用版本:PyTorch 2.0.0、Transformers 4.41.0
  • 触发错误:AttributeError: module 'torch.utils._pytree' has no attribute 'register_pytree_node'
  • 已尝试操作:执行pip install transformers==4.28.0降级Transformers,但问题未解决
  • 完整报错堆栈:
Traceback (most recent call last):
File "/Users/UrbanArchitect/main.py", line 17, in 
from utils.clip import CLIPScore
File "/Users/UrbanArchitect/utils/clip.py", line 2, in 
from transformers import CLIPProcessor, CLIPModel
File "/Users/anaconda3/envs/Newurban/lib/python3.9/site-packages/transformers/__init__.py", line 26, in 
from . import dependency_versions_check
File "/Users/anaconda3/envs/Newurban/lib/python3.9/site-packages/transformers/dependency_versions_check.py", line 16, in 
from .utils.versions import require_version, require_version_core
File "/Users/anaconda3/envs/Newurban/lib/python3.9/site-packages/transformers/utils/__init__.py", line 33, in 
from .generic import (
File "/Users/anaconda3/envs/Newurban/lib/python3.9/site-packages/transformers/utils/generic.py", line 474, in 
_torch_pytree.register_pytree_node(
AttributeError: module 'torch.utils._pytree' has no attribute 'register_pytree_node'

解决方案

  • 确认PyTorch版本与环境一致性
    执行pip show torch检查当前环境的PyTorch是否确实是2.0.0,若版本不符,重新安装:

    pip install torch==2.0.0
    

    若使用conda环境,先激活目标环境再确认安装:

    conda activate Newurban
    conda list torch
    conda install torch==2.0.0
    
  • 彻底重装Transformers
    卸载现有版本并清理pip缓存,避免残留文件导致的版本冲突:

    pip uninstall -y transformers
    pip cache purge
    pip install transformers==4.28.0
    
  • 临时代码修复(应急方案)
    找到报错文件/Users/anaconda3/envs/Newurban/lib/python3.9/site-packages/transformers/utils/generic.py,将第474行的_torch_pytree.register_pytree_node替换为torch._pytree.register_pytree_node——PyTorch 2.0.0中该方法实际位于torch._pytree模块下。

内容的提问来源于stack exchange,提问作者CathyL

相关产品推荐
方舟 Agent Plan

超全模态模型 × Harness 升级,最新支持 Deepseek-V4.1-Flash、GLM-5.3 系列、Doubao-Seedream-5.0-pro、Kimi-K3 (部分), 限时 9.9 元起

最近更新时间:2026.06.23 17:37:15