57 lines
1.5 KiB
Python
57 lines
1.5 KiB
Python
# Copyright (c) Facebook, Inc. and its affiliates.
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#
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# This source code is licensed under the MIT license found in the
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# LICENSE file in the root directory of this source tree.
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import numpy as np
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import faiss
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import unittest
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from common_faiss_tests import get_dataset_2
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class TestIndexRowwiseMinmax(unittest.TestCase):
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def compare_train_vs_train_inplace(self, factory_key):
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d = 96
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nb = 1000
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nq = 0
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nt = 2000
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xt, x, _ = get_dataset_2(d, nt, nb, nq)
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assert x.size > 0
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codec = faiss.index_factory(d, factory_key)
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# use the regular .train()
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codec.train(xt)
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codes_train = codec.sa_encode(x)
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decoded = codec.sa_decode(codes_train)
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# use .train_inplace()
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xt_cloned = np.copy(xt)
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codec.train_inplace(xt_cloned)
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codes_train_inplace = codec.sa_encode(x)
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# compare .train and .train_inplace codes
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n_diff = (codes_train != codes_train_inplace).sum()
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self.assertEqual(n_diff, 0)
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# make sure that the array used for .train_inplace got affected
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n_diff_xt = (xt_cloned != xt).sum()
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self.assertNotEqual(n_diff_xt, 0)
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# make sure that the reconstruction error is not crazy
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reconstruction_err = ((x - decoded) ** 2).sum()
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print(reconstruction_err)
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self.assertLess(reconstruction_err, 0.6)
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def test_fp32(self) -> None:
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self.compare_train_vs_train_inplace("MinMax,SQ8")
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def test_fp16(self) -> None:
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self.compare_train_vs_train_inplace("MinMaxFP16,SQ8")
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