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6f6e90162b
Summary: This PR fixed the typo in `bench_index_flat.py`. Pull Request resolved: https://github.com/facebookresearch/faiss/pull/1810 Reviewed By: beauby Differential Revision: D27706115 Pulled By: mdouze fbshipit-source-id: 35515450be8eb45d6a2e98c7372333d98fc0f7b4
88 lines
2.1 KiB
Python
88 lines
2.1 KiB
Python
#!/usr/bin/env python3
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# 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 time
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import os
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import numpy as np
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import faiss
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from faiss.contrib.datasets import SyntheticDataset
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os.system("grep -m1 'model name' < /proc/cpuinfo")
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def format_tab(x):
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return "\n".join("\t".join("%g" % xi for xi in row) for row in x)
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faiss.cvar.distance_compute_min_k_reservoir = 5
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# for have_threads in True, False:
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for have_threads in False, :
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if have_threads:
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# good config for Intel(R) Xeon(R) CPU E5-2698 v4 @ 2.20GHz
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nthread = 32
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else:
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nthread = 1
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faiss.omp_set_num_threads(nthread)
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print("************ nthread=", nthread)
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for nq in 100, 10000:
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print("*********** nq=", nq)
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if nq == 100:
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nrun = 500
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unit = "ms"
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else:
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nrun = 20
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unit = "s"
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restab = []
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for d in 16, 32, 64, 128:
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print("========== d=", d)
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nb = 10000
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# d = 32
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ds = SyntheticDataset(d, 0, nb, nq)
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print(ds)
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index = faiss.IndexFlatL2(d)
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index.add(ds.get_database())
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nrun = 10
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restab1 = []
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restab.append(restab1)
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for k in 1, 10, 100:
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times = []
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for run in range(nrun):
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t0 = time.time()
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index.search(ds.get_queries(), k)
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t1 = time.time()
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if run >= nrun // 5: # the rest is considered warmup
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times.append((t1 - t0))
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times = np.array(times)
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if unit == "ms":
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times *= 1000
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print("search k=%3d t=%.3f ms (± %.4f)" % (
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k, np.mean(times), np.std(times)))
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else:
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print("search k=%3d t=%.3f s (± %.4f)" % (
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k, np.mean(times), np.std(times)))
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restab1.append(np.mean(times))
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print("restab=\n", format_tab(restab))
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