Comments (2)
Hi @meiyoufeng116, we only test our code in ubuntu environment (recommend). There might exist some gaps for CUDA in different environments.
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Hi there, the reason is that some hacked code in dataset.py
for novel exp is not being commented, I have listed the actual format below, you need to re-run your exp by running both python run.py
and python run.py --is_finetune True
.
Lines 111 to 117 in 508ad0a
and
Lines 315 to 322 in 508ad0a
Since I have no GPU in hands recently, if you encounter any further problem, feel free to leave a message.
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Related Issues (17)
- training manner? two-stage or end2end HOT 3
- About evaluation HOT 3
- Error in dbpedia_mask
- masked_for_selection_token doesn't match matching_logits_
- Error in all_response_movie_recall_cal
- 关于推荐模块预训练目的
- What's the meaning of res_movie_recall
- Problem in TOTAL_NOVEL_MOVIES
- How can ReR implemented in KGSF?
- missing neginf in utils.py HOT 2
- An error occurs when run python run.py --is_finetune True HOT 1
- in python run.py --is_finetune True process , assert torch.sum(movies_gth!=0, dim=(0,1)) == torch.sum((mask_ys == 6), dim=(0,1)) error HOT 9
- run_novel vs run vs e2e HOT 1
- Should I change the arg '-infomax_pretrain' to True? HOT 8
- Numbers of entities mismatched
- how to reach the performance NTRD should have? HOT 1
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