107 lines
2.9 KiB
Python
107 lines
2.9 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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"""make sure that the referenced objects are kept"""
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from __future__ import absolute_import, division, print_function, unicode_literals
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import numpy as np
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import unittest
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import faiss
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import sys
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import gc
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d = 10
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xt = np.random.rand(100, d).astype('float32')
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xb = np.random.rand(20, d).astype('float32')
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class TestReferenced(unittest.TestCase):
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def test_IndexIVF(self):
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quantizer = faiss.IndexFlatL2(d)
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index = faiss.IndexIVFFlat(quantizer, d, 10)
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index.train(xt)
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index.add(xb)
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del quantizer
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gc.collect()
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index.add(xb)
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def test_count_refs(self):
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quantizer = faiss.IndexFlatL2(d)
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index = faiss.IndexIVFFlat(quantizer, d, 10)
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refc1 = sys.getrefcount(quantizer)
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del index
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gc.collect()
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refc2 = sys.getrefcount(quantizer)
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assert refc2 == refc1 - 1
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def test_IndexIVF_2(self):
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index = faiss.IndexIVFFlat(faiss.IndexFlatL2(d), d, 10)
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index.train(xt)
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index.add(xb)
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def test_IndexPreTransform(self):
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ltrans = faiss.NormalizationTransform(d)
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sub_index = faiss.IndexFlatL2(d)
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index = faiss.IndexPreTransform(ltrans, sub_index)
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index.add(xb)
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del ltrans
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gc.collect()
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index.add(xb)
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del sub_index
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gc.collect()
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index.add(xb)
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def test_IndexPreTransform_2(self):
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sub_index = faiss.IndexFlatL2(d)
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index = faiss.IndexPreTransform(sub_index)
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ltrans = faiss.NormalizationTransform(d)
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index.prepend_transform(ltrans)
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index.add(xb)
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del ltrans
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gc.collect()
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index.add(xb)
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del sub_index
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gc.collect()
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index.add(xb)
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def test_IDMap(self):
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sub_index = faiss.IndexFlatL2(d)
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index = faiss.IndexIDMap(sub_index)
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index.add_with_ids(xb, np.arange(len(xb)))
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del sub_index
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gc.collect()
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index.add_with_ids(xb, np.arange(len(xb)))
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def test_shards(self):
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index = faiss.IndexShards(d)
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for _i in range(3):
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sub_index = faiss.IndexFlatL2(d)
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sub_index.add(xb)
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index.add_shard(sub_index)
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gc.collect()
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index.search(xb, 10)
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dbin = 32
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xtbin = np.random.randint(256, size=(100, int(dbin / 8))).astype('uint8')
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xbbin = np.random.randint(256, size=(20, int(dbin / 8))).astype('uint8')
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class TestReferencedBinary(unittest.TestCase):
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def test_binary_ivf(self):
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index = faiss.IndexBinaryIVF(faiss.IndexBinaryFlat(dbin), dbin, 10)
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gc.collect()
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index.train(xtbin)
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def test_wrap(self):
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index = faiss.IndexBinaryFromFloat(faiss.IndexFlatL2(dbin))
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gc.collect()
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index.add(xbbin)
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if __name__ == '__main__':
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unittest.main()
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