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Add similarity calculation for all pairs of vectors in the unit test … #175

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Oct 16, 2024
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Add similarity calculation for all pairs of vectors in the unit test … #175

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21 changes: 12 additions & 9 deletions torchhd/tests/basis_hv/test_circular_hv.py
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Original file line number Diff line number Diff line change
Expand Up @@ -127,15 +127,18 @@ def test_value(self, dtype, vsa):
)
else:
hv = functional.circular(8, 1000000, vsa, generator=generator, dtype=dtype)
sims = functional.cosine_similarity(hv[0], hv)
sims_diff = sims[:-1] - sims[1:]
assert torch.all(
sims_diff.sign() == torch.tensor([1, 1, 1, 1, -1, -1, -1])
), "second half must get more similar"

assert torch.allclose(
sims_diff.abs(), torch.tensor(0.25, dtype=sims_diff.dtype), atol=0.005
), "similarity decreases linearly"

for i in range(8-1):
sims = functional.cosine_similarity(hv[0], hv)
sims_diff = sims[:-1] - sims[1:]
assert torch.all(
sims_diff.sign() == torch.tensor([1, 1, 1, 1, -1, -1, -1])
), f"element #{i}: second half must get more similar"

assert torch.allclose(
sims_diff.abs(), torch.tensor(0.25, dtype=sims_diff.dtype), atol=0.005
), f"element #{i}: similarity decreases linearly"
hv = torch.roll(hv,1,0)

@pytest.mark.parametrize("sparsity", [0.0, 0.1, 0.756, 1.0])
@pytest.mark.parametrize("dtype", torch_dtypes)
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