pycharm debug的时候无法debug到指定的位置就停住不动了

报错大致是这样的,但是直接run没有问题,debug就停住不动了

Traceback (most recent call last):

File "/home/mapengsen/.pycharm_helpers/pydev/_pydevd_bundle/pydevd_comm.py", line 467, in start_client

s.connect((host, port))

TimeoutError: timed out

Traceback (most recent call last):

File "<frozen importlib._bootstrap>", line 1027, in _find_and_load

File "<frozen importlib._bootstrap>", line 1006, in _find_and_load_unlocked

14:30:48.928250\] \[14:30:48.928492\] \[14:30:48.928599\] \[14:30:48.950877\] \[14:30:48.951222\] \[14:30:48.951351\] File "\", line 688, in _load_unlocked File "\", line 883, in exec_module File "\", line 241, in _call_with_frames_removed Could not connect to 127.0.0.1: 56945 Traceback (most recent call last): File "/home/mapengsen/.pycharm_helpers/pydev/_pydevd_bundle/pydevd_comm.py", line 467, in start_client s.connect((host, port)) TimeoutError: timed out File "/home/mapengsen/anaconda3/envs/MDT2/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 26, in \ Traceback (most recent call last): File "\", line 1027, in _find_and_load File "\", line 1006, in _find_and_load_unlocked File "\", line 688, in _load_unlocked File "\", line 883, in exec_module from torch._inductor.codecache import code_hash, CompiledFxGraph File "/home/mapengsen/anaconda3/envs/MDT2/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 1424, in \ File "\", line 241, in _call_with_frames_removed File "/home/mapengsen/anaconda3/envs/MDT2/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 26, in \ from torch._inductor.codecache import code_hash, CompiledFxGraph File "/home/mapengsen/anaconda3/envs/MDT2/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 1424, in \ AsyncCompile.warm_pool()AsyncCompile.warm_pool() File "/home/mapengsen/anaconda3/envs/MDT2/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 1363, in warm_pool File "/home/mapengsen/anaconda3/envs/MDT2/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 1363, in warm_pool pool._adjust_process_count() File "/home/mapengsen/anaconda3/envs/MDT2/lib/python3.10/concurrent/futures/process.py", line 697, in _adjust_process_count pool._adjust_process_count() File "/home/mapengsen/anaconda3/envs/MDT2/lib/python3.10/concurrent/futures/process.py", line 697, in _adjust_process_count Could not connect to 127.0.0.1: 56945

后来才发现是自己 import 自己定义的datasets的时候出现了错误,因为我是在自己定义的datasets中进行了测试,但是里面有错误,然后我还在主程序中import了这个datasets,所以一直停住不动。把dataset报错的地方删除就行,只留方法部分:

def collate_fn_paired_skip_invalid(batch):

if len(batch[0]) == 5: # 单任务情况 (添加了task_id)

valid_batch_items = [item for item in batch if item[0] is not None and item[2] is not None]

if not valid_batch_items:

return torch.empty(0), torch.empty(0, 0), torch.empty(0), torch.empty(0, 0), torch.empty(0, dtype=torch.long)

return torch.utils.data.dataloader.default_collate(valid_batch_items)

else: # 多任务情况 (7个元素,添加了task_id)

valid_batch_items = [item for item in batch if item[0] is not None and item[2] is not None and item[4] is not None]

if not valid_batch_items:

return torch.empty(0), torch.empty(0, 0), torch.empty(0), torch.empty(0, 0), torch.empty(0), torch.empty(0, 0), torch.empty(0, dtype=torch.long)

return torch.utils.data.dataloader.default_collate(valid_batch_items)

删除下面的,以免有错误

# --- 主训练循环 ---

trained_models_per_task = {}

# 假设您在这里定义了 all_task_names

all_task_names = [['A_bioavailability_ma'], ['A_hia_hou'], ['A_bioavailability_ma', 'A_hia_hou']]

for current_task_names in all_task_names:

task_key = '+'.join(current_task_names) # 创建任务组合的键名

print(f"\n--- 开始为任务组合: {task_key} 准备数据和模型 (Paired Data) ---")

相关推荐
海绵宝宝de派小星10 小时前
传统NLP vs 深度学习NLP
人工智能·深度学习·ai·自然语言处理
拓端研究室10 小时前
中国AI+营销趋势洞察报告2026:生成式AI、代理AI、GEO营销|附400+份报告PDF、数据、可视化模板汇总下载
人工智能
安徽必海微马春梅_6688A10 小时前
A实验:生物 脑损伤打击器 自由落体打击器 大小鼠脑损伤打击器 资料说明。
人工智能·信号处理
有Li10 小时前
肌肉骨骼感知(MUSA)深度学习用于解剖引导的头颈部CT可变形图像配准/文献速递-基于人工智能的医学影像技术
人工智能·深度学习·机器学习·文献·医学生
AAD5558889910 小时前
基于改进Mask-RCNN的文化文物遗产识别与分类系统_1
人工智能·数据挖掘
夏树眠10 小时前
2026AI编程榜单
人工智能
香芋Yu10 小时前
【深度学习教程——01_深度基石(Foundation)】03_计算图是什么?PyTorch动态图机制解密
人工智能·pytorch·深度学习
java1234_小锋10 小时前
【AI大模型舆情分析】微博舆情分析可视化系统(pytorch2+基于BERT大模型训练微调+flask+pandas+echarts) 实战(下)
人工智能·flask·bert·ai大模型
氵文大师10 小时前
PyTorch 性能分析实战:像手术刀一样精准控制 Nsys Timeline(附自定义颜色教程)
人工智能·pytorch·python
2501_9413220310 小时前
【医疗AI】基于Mask R-CNN的支气管镜内窥镜目标检测系统实现
人工智能·r语言·cnn