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runtimeerror

Open sdws258 opened this issue 2 years ago • 7 comments

python 3.7 pytorch 1.10.1+cu111 gcc 5.4.0

I have modified the cloneable.h file according to the FAQs section, but I still encounter the following error when the program is running. Moreover, I have tried to run this code under gcc==7.5.0, the same error appears. Please tell me how can i fix it? Uploading 截屏2022-07-31 下午3.09.29.png…

sdws258 avatar Jul 31 '22 07:07 sdws258

截屏2022-07-31 下午3 09 29

sdws258 avatar Jul 31 '22 07:07 sdws258

@sdws258 Try removing this line

https://github.com/thu-coai/DA-Transformer/blob/8ef9c8f43f239d7004be004d5d2778cf080d4b2f/fs_plugins/custom_ops/dag_loss.py#L54

If it works well, I will update a patch to fix the issue

hzhwcmhf avatar Jul 31 '22 14:07 hzhwcmhf

@sdws258 Try removing this line

https://github.com/thu-coai/DA-Transformer/blob/8ef9c8f43f239d7004be004d5d2778cf080d4b2f/fs_plugins/custom_ops/dag_loss.py#L54

If it works well, I will update a patch to fix the issue

It looks good to me

bbo0924 avatar Aug 02 '22 10:08 bbo0924

@sdws258 Try removing this line

https://github.com/thu-coai/DA-Transformer/blob/8ef9c8f43f239d7004be004d5d2778cf080d4b2f/fs_plugins/custom_ops/dag_loss.py#L54

If it works well, I will update a patch to fix the issue

yeah, it works

sdws258 avatar Aug 03 '22 12:08 sdws258

I'm sorry that I have another question: I run the DAG on IWSLT14 ENDE raw data, it appears one warning and causes one error: 截屏2022-08-03 下午9 24 47

截屏2022-08-03 下午9 25 26

Moreover, i find there is no result of IWSLT14 in DAG paper. Please tell me the result of it and how to fix the above problem in DAG.

sdws258 avatar Aug 03 '22 13:08 sdws258

max-source-positions and max-target-positions specify the max length of the samples. You should set it according to your dataset. If you want to train with a sample whose target length is 132, max-target-positions should be set at least \lambda * 132, i.e., 1056 or larger if lambda=8. Moreover, dropping some examples does not satisfy the length limitation is normal behavior (your 1st screenshot). But we usually don't drop valid or test samples for fair evaluation (2nd screenshot).

We do not have an official result on IWSLT14 for now. It will be appreciated if you can train a model and tell us your result.

hzhwcmhf avatar Aug 04 '22 03:08 hzhwcmhf

Hi, I also encountered the same question, and I solved it by using "python /path/to/fairseq_cli/dagprocess.py" and "python /path/to/fairseq_cli/train.py". I recommend you to use this command.

myaxxxxx avatar Nov 07 '23 13:11 myaxxxxx