Segmentation fault

[LoneChristmas]

我尝试采用https://github.com/yuyuz/MetaQA这个数据集里面的kb.txt(三元组（h,r,t）)和python代码构建: entity2id.txt relation2id.txt train2id.txt test2id.txt valid2id.txt这几个文件， 我发现kb.txt里面有重复的三元组，我将重复的三元组删除了并且也严格对应要求的(e1,e2,r)对格式进行了修改，而且采用'\t'进行分隔，但还是会报错：Segmentation fault，烦请各位前辈告诉我可能的原因，谢谢！

[LoneChristmas]

抱歉再来打扰一下，我执行train_rotate_WN18RR_adv.py(openke自带的rotate例子)的时候会出现：Finish initializing... 0%| | 0/1500 [00:00<?, ?it/s] Traceback (most recent call last): File "/mnt/d/learning/kgqa/KGQA-master/OpenKE/train_rotate.py", line 47, in trainer.run() File "/mnt/d/learning/kgqa/KGQA-master/OpenKE/openke/config/Trainer.py", line 94, in run loss = self.train_one_step(data) File "/mnt/d/learning/kgqa/KGQA-master/OpenKE/openke/config/Trainer.py", line 53, in train_one_step loss.backward() File "/home/stone/.local/lib/python3.10/site-packages/torch/_tensor.py", line 487, in backward torch.autograd.backward( File "/home/stone/.local/lib/python3.10/site-packages/torch/autograd/init.py", line 200, in backward Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass RuntimeError: CUDA error: unknown error Compile with TORCH_USE_CUDA_DSA to enable device-side assertions. 这样的情况，想问一下这个是由于cuda和pytorch版本对不上的问题吗？我用的是wsl+ubuntu，但是运行其他模型的训练例子代码都没什么问题，想请教一下有没有什么解决的思路。

[hp962183985]

我也有segmentation fault的错误，请问你是怎么解决的？存储格式也是按照examples里数据集改的

[Aipura]

train_dataloader = TrainDataLoader( in_path = "./benchmarks/MetaQA/TransE/", nbatches = 100, threads = 8, sampling_mode = "normal", bern_flag = 1, filter_flag = 1, neg_ent = 25, neg_rel = 0)

add "/" at the end of in_path line, and then solved the Segmentation fault problem.

[rascalvain]

Aipura‘s suggestion is so helpful.Thank you so much！

[galaxywwww]

请问怎么解决Segmentation fault错误呢

[galaxywwww]

我在in_path后面加了/还是报错