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Thanks for the great work. I was trying to run the inductive_lp experiment on RTX3090. Because of the hashrate mismatch, I can't install pytorch=1.7.1 on the RTX3090. So I directly chose to configure the corresponding environment with cuda11.6.
Traceback (most recent call last):
File "/home/ps/hh/NodePiece-main/inductive_lp/run_ilp.py", line 236, in <module>
main()
File "/home/ps/miniconda3/envs/nodepiece/lib/python3.8/site-packages/click/core.py", line 1130, in __call__
return self.main(*args, **kwargs)
File "/home/ps/miniconda3/envs/nodepiece/lib/python3.8/site-packages/click/core.py", line 1055, in main
rv = self.invoke(ctx)
File "/home/ps/miniconda3/envs/nodepiece/lib/python3.8/site-packages/click/core.py", line 1404, in invoke
return ctx.invoke(self.callback, **ctx.params)
File "/home/ps/miniconda3/envs/nodepiece/lib/python3.8/site-packages/click/core.py", line 760, in invoke
return __callback(*args, **kwargs)
File "/home/ps/hh/NodePiece-main/inductive_lp/run_ilp.py", line 215, in main
metric_results = test_evaluator.evaluate(
TypeError: evaluate() got an unexpected keyword argument 'additional_filter_triples'
Below you may find a list of package versions in my environment.
Please correct me if I am wrong. Would be good if you could give me some advice.If it is a very basic and simple mistake, allow me to apologize for taking up your precious time.Thank you.
The text was updated successfully, but these errors were encountered:
Hi, not sure why you needed particular pykeen==1.7.1, but you can already use inductive link prediction with NodePiece with the latest version of pykeen (1.9.0), the datasets are integrated there as well
Thank you for your help. Upgrading the version of the pykeen package does solve the problem of TypeError.At the same time, ImportError will also appear, but that's what I should do next. Apologize again for taking up your precious time.
Hi,
Thanks for the great work. I was trying to run the inductive_lp experiment on RTX3090. Because of the hashrate mismatch, I can't install pytorch=1.7.1 on the RTX3090. So I directly chose to configure the corresponding environment with cuda11.6.
Below you may find a list of package versions in my environment.
Please correct me if I am wrong. Would be good if you could give me some advice.If it is a very basic and simple mistake, allow me to apologize for taking up your precious time.Thank you.
The text was updated successfully, but these errors were encountered: