Thanks for your help. I added os.environ['CUDA_LAUNCH_BLOCKING'] = '1' in my code and ran it again. Errors occurred as following:
C:/w/1/s/windows/pytorch/aten/src/THC/THCTensorIndex.cu:361: block: [36,0,0], thread: [64,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
C:/w/1/s/windows/pytorch/aten/src/THC/THCTensorIndex.cu:361: block: [36,0,0], thread: [65,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
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Traceback (most recent call last):
  File "D:/PyCharm/Projects/OpenKGRL_Pytorch/DistMult/train.py", line 99, in <module>
    raw_head_hits1, raw_head_hits10, raw_head_ranks = model.head_predict(data[0], data[1], data[2])
  File "D:\PyCharm\Projects\OpenKGRL_Pytorch\DistMult\distMult.py", line 41, in head_predict
    r_and_t = self.entity_embedding(relation) * self.relation_embedding(tail)
RuntimeError: CUDA error: device-side assert triggered

This time it seems like error triggerred in line:
r_and_t = self.entity_embedding(relation) * self.relation_embedding(tail)

This is possible for a index out of bound mistake. I’ll check this!
---------------------------------------------update--------------------------------------------------
I made a super stupid mistake!
r_and_t = self.entity_embedding(relation) * self.relation_embedding(tail)

Obviously, I mistakenly used relation to look up entity_embedding.  and I even didn’t notice it. After correction, I could run successfully finally!
Thanks for your help again!