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License: MIT License
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vishalbelsare freekang codeaudit tylerlozano nagendra20001414 himmelstein moonbzyx hubayirp alex4321 shiquanyang mmorris44 vikicsizmadia danhlephuoc borisrakovan leevenlin peterdavidfaganctp's Issues
What are the default parameters for countries dataset?
How can I show rules in hoppy-nkb-cli.py?
It seems that hoppy-nkb-cli.py do not contain the show_rules function. So how can I print rules when I want to run this code on the Kinship dataset?
Have troubles running test for test_smart_clutrr.py
Python: 3.8.5
Torch: 1.7.1
Cuda: 11.0 (yet it was disabled through CUDA_VISIBLE_DEVICES)
I got few problems with data types (torch Embeddings required LongTensor instead of IntTensor). Yet when I specified tensor types explicitly - you can see https://github.com/alex4321/ctp - I got problems running test_smart_clutrr_v5 in test_smart_clutrr.py:
(lines 515-520)
np.testing.assert_allclose(inf0_np, [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], rtol=1e-1, atol=1e-1)
np.testing.assert_allclose(inf1_np, [1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], rtol=1e-1, atol=1e-1)
np.testing.assert_allclose(inf2_np, [1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], rtol=1e-1, atol=1e-1)
np.testing.assert_allclose(inf3_np, [1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0], rtol=1e-1, atol=1e-1)
np.testing.assert_allclose(inf4_np, [1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0], rtol=1e-1, atol=1e-1)
But I got next values:
INF0 tensor([3.5844e-08, 1.0600e-08, 6.5727e-09, 1.8932e-08, 7.4809e-09, 7.8440e-09,
8.1592e-09, 2.4311e-08, 1.3718e-08, 4.8176e-07, 1.1065e-08, 2.0157e-07])
INF1 tensor([9.9900e-01, 1.3420e-06, 1.2384e-06, 3.3722e-06, 1.8620e-06, 6.9090e-06,
1.5691e-06, 4.7638e-06, 4.3208e-06, 1.7816e-06, 1.1471e-06, 4.2599e-07])
INF2 tensor([9.9900e-01, 7.9380e-06, 1.4266e-06, 3.9714e-06, 3.3722e-06, 9.3712e-06,
6.9090e-06, 4.7638e-06, 5.5142e-06, 2.6228e-06, 1.9439e-06, 1.1219e-06])
INF3 tensor([9.9900e-01, 7.9380e-06, 2.6228e-06, 5.5142e-06, 3.3722e-06, 9.3712e-06,
6.9090e-06, 4.7638e-06, 5.5142e-06, 2.6228e-06, 1.9439e-06, 1.3885e-06])
INF4 tensor([9.9900e-01, 7.9380e-06, 2.6228e-06, 5.5142e-06, 3.9714e-06, 9.3712e-06,
6.9090e-06, 4.7638e-06, 5.5142e-06, 2.6228e-06, 1.9439e-06, 1.3885e-06])
So only first two assertions passes.
(test_classic.py works fine with the same data, so I guess it should be some problem with kbcr.clutrr.models.smart.NeuralKB, kbcr.clutrr.models.smart.Hoppy? Also, previous tests test_smart_clutrr_v1 - test_smart_clutrr_v4 passed succesfully too)
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