mirror of
https://github.com/facebookresearch/faiss.git
synced 2026-10-11 22:50:00 +00:00
Summary: Pull Request resolved: https://github.com/facebookresearch/faiss/pull/4862 Add official pip wheel packaging for `faiss-cpu`, enabling `pip install faiss-cpu` from PyPI. Builds binary wheels across Linux x86_64/aarch64, macOS arm64/x86_64, and Windows x86_64 for Python 3.10-3.14. Linux and macOS use Python Stable ABI (abi3) — a single cp310-abi3 wheel per platform works on all Python 3.10+ versions without per-version rebuilds. **BLAS strategy:** - Linux (x86_64 and aarch64): Threaded OpenBLAS (`libopenblaso`). The CMake build prefers `libopenblaso` (OpenMP-threaded) or `libopenblasp` (pthreads-threaded) over the serial default on RHEL/Fedora-based manylinux containers. - macOS: Apple Accelerate (found automatically). - Windows: Prebuilt OpenBLAS from GitHub releases (v0.3.30). **SIMD optimization strategy:** - Linux and macOS: Dynamic Dispatch (`FAISS_OPT_LEVEL=dd`) compiles SIMD-hot kernel files at multiple ISA levels (generic + AVX2 + AVX-512 on x86_64, NEON + SVE on aarch64) into a single library. Runtime CPUID detection selects the optimal code path automatically. - Windows: MSVC does not support DD, so uses `FAISS_OPT_LEVEL=generic`. Shared libraries (`BUILD_SHARED_LIBS=ON`) are used to avoid MSVC's single-pass static archive scanning issue. **New files:** - `pyproject.toml`: scikit-build-core build backend config with cibuildwheel settings. Version is dynamically extracted from CMakeLists.txt. Enables abi3 on Linux/macOS via SWIG 4.2+ and NumPy 2.0+ Limited API support. Enables LTO and dead-code stripping for smaller wheel sizes. - `.github/workflows/build-pip.yml`: CI workflow using cibuildwheel to build binary wheels on 5 platform runners. All GitHub Actions are pinned to commit SHAs for supply chain security. Publishes wheels to PyPI via OIDC trusted publishers on tag push. - `THIRD_PARTY_NOTICES`: License notices for bundled dependencies (OpenBLAS, LLVM OpenMP). - `tests/test_wheel_smoke.py`: 12-test smoke suite validating import, OpenMP, BLAS (FlatL2/FlatIP), index factory (IVF+PQ), HNSW, serialization roundtrip, GC safety, contrib imports, and SIMD level detection. **Modified files:** - `faiss/CMakeLists.txt`: Added threaded OpenBLAS fallback — prefers `libopenblaso` (OpenMP-threaded) or `libopenblasp` (pthreads-threaded) over the serial default on RHEL/Fedora-based manylinux containers. - `python/CMakeLists.txt`: Added `install()` targets for scikit-build-core wheel packaging, including all Dynamic Dispatch SWIG variants (avx2/avx512/avx512_spr/sve). Added abi3 support: conditionally uses `Python::SABIModule`, defines `Py_LIMITED_API`, and sets `.abi3.so` suffix when `SKBUILD_SABI_VERSION` is set. - `.github/workflows/build.yml`: Wired `build-pip.yml` into the root CI trigger so pip builds run alongside conda builds. - `tests/BUCK`: Added `python_pytest` target for the smoke test. Reviewed By: mnorris11 Differential Revision: D95258115 fbshipit-source-id: 3593ed4fa5c1d8b7bebfc61c933bb3204c9666eb
200 lines
6.2 KiB
Python
200 lines
6.2 KiB
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
|
|
#
|
|
# This source code is licensed under the MIT license found in the
|
|
# LICENSE file in the root directory of this source tree.
|
|
|
|
"""
|
|
Wheel smoke tests for faiss-cpu pip package.
|
|
|
|
These tests validate that a pip-installed wheel is correctly packaged:
|
|
- Shared libraries load (SWIG, BLAS, OpenMP)
|
|
- Core search functionality works
|
|
- Key index types are registered
|
|
- Serialization roundtrips
|
|
- Python reference counting is safe
|
|
- Contrib submodules are included
|
|
|
|
They are intentionally minimal and fast (~15s total). The full test suite
|
|
runs separately in the cmake-based CI.
|
|
"""
|
|
|
|
import platform
|
|
import unittest
|
|
import numpy as np
|
|
|
|
import faiss
|
|
|
|
|
|
class TestImportAndMetadata(unittest.TestCase):
|
|
"""Catch: missing shared libs, broken SWIG, wrong Python ABI."""
|
|
|
|
def test_version_attribute(self):
|
|
assert hasattr(faiss, "__version__")
|
|
parts = faiss.__version__.split(".")
|
|
assert len(parts) == 3
|
|
assert all(p.isdigit() for p in parts)
|
|
|
|
def test_compile_options(self):
|
|
opts = faiss.get_compile_options()
|
|
assert isinstance(opts, str)
|
|
|
|
|
|
class TestOpenMP(unittest.TestCase):
|
|
"""Catch: OpenMP not linked."""
|
|
|
|
def test_openmp_threads(self):
|
|
n = faiss.omp_get_max_threads()
|
|
assert n >= 1
|
|
faiss.omp_set_num_threads(2)
|
|
assert faiss.omp_get_max_threads() == 2
|
|
# Restore
|
|
faiss.omp_set_num_threads(n)
|
|
|
|
|
|
class TestFlatSearch(unittest.TestCase):
|
|
"""Catch: BLAS not linked, SIMD codepath issues."""
|
|
|
|
def test_flat_l2(self):
|
|
d, n = 64, 1000
|
|
np.random.seed(42)
|
|
xb = np.random.random((n, d)).astype("float32")
|
|
index = faiss.IndexFlatL2(d)
|
|
index.add(xb)
|
|
D, I = index.search(xb[:5], 10)
|
|
assert I.shape == (5, 10)
|
|
# Nearest neighbor of each vector should be itself
|
|
np.testing.assert_array_equal(I[:, 0], np.arange(5))
|
|
# Self-distance should be ~0
|
|
np.testing.assert_allclose(D[:, 0], 0, atol=1e-5)
|
|
|
|
def test_flat_ip(self):
|
|
d, n = 64, 1000
|
|
np.random.seed(42)
|
|
xb = np.random.random((n, d)).astype("float32")
|
|
faiss.normalize_L2(xb)
|
|
index = faiss.IndexFlatIP(d)
|
|
index.add(xb)
|
|
D, I = index.search(xb[:5], 10)
|
|
assert I.shape == (5, 10)
|
|
np.testing.assert_array_equal(I[:, 0], np.arange(5))
|
|
np.testing.assert_allclose(D[:, 0], 1.0, atol=1e-5)
|
|
|
|
|
|
class TestIndexFactory(unittest.TestCase):
|
|
"""Catch: missing index implementations, broken factory string parsing."""
|
|
|
|
def test_ivf_pq(self):
|
|
d, n = 64, 10000
|
|
np.random.seed(42)
|
|
xb = np.random.random((n, d)).astype("float32")
|
|
index = faiss.index_factory(d, "IVF32,PQ8")
|
|
assert not index.is_trained
|
|
index.train(xb)
|
|
assert index.is_trained
|
|
index.add(xb)
|
|
assert index.ntotal == n
|
|
D, I = index.search(xb[:5], 10)
|
|
assert I.shape == (5, 10)
|
|
|
|
def test_hnsw(self):
|
|
d, n = 64, 2000
|
|
np.random.seed(42)
|
|
xb = np.random.random((n, d)).astype("float32")
|
|
index = faiss.IndexHNSWFlat(d, 16)
|
|
index.add(xb)
|
|
assert index.ntotal == n
|
|
D, I = index.search(xb[:5], 10)
|
|
assert I.shape == (5, 10)
|
|
# HNSW should find the vector itself as nearest neighbor
|
|
np.testing.assert_array_equal(I[:, 0], np.arange(5))
|
|
|
|
|
|
class TestSerialization(unittest.TestCase):
|
|
"""Catch: broken I/O, buffer handling."""
|
|
|
|
def test_serialize_deserialize_roundtrip(self):
|
|
d = 32
|
|
np.random.seed(42)
|
|
xb = np.random.random((100, d)).astype("float32")
|
|
index = faiss.IndexFlatL2(d)
|
|
index.add(xb)
|
|
|
|
# Serialize to bytes
|
|
data = faiss.serialize_index(index)
|
|
assert isinstance(data, np.ndarray)
|
|
assert data.dtype == np.uint8
|
|
|
|
# Deserialize
|
|
index2 = faiss.deserialize_index(data)
|
|
assert index2.ntotal == 100
|
|
|
|
# Results should match
|
|
D1, I1 = index.search(xb[:3], 5)
|
|
D2, I2 = index2.search(xb[:3], 5)
|
|
np.testing.assert_array_equal(I1, I2)
|
|
np.testing.assert_allclose(D1, D2)
|
|
|
|
|
|
class TestGCSafety(unittest.TestCase):
|
|
"""Catch: Python reference counting bugs, crashes on GC."""
|
|
|
|
def test_ivf_quantizer_lifecycle(self):
|
|
d, n = 32, 5000
|
|
np.random.seed(42)
|
|
xb = np.random.random((n, d)).astype("float32")
|
|
|
|
quantizer = faiss.IndexFlatL2(d)
|
|
index = faiss.IndexIVFFlat(quantizer, d, 32)
|
|
index.train(xb)
|
|
index.add(xb)
|
|
|
|
# Delete the quantizer reference — the index should still work
|
|
# because faiss.__init__.py adds it to referenced_objects
|
|
del quantizer
|
|
|
|
D, I = index.search(xb[:3], 5)
|
|
assert I.shape == (3, 5)
|
|
|
|
|
|
class TestContribImports(unittest.TestCase):
|
|
"""Catch: missing Python files in the wheel."""
|
|
|
|
def test_contrib_modules(self):
|
|
import faiss.contrib.datasets
|
|
import faiss.contrib.evaluation
|
|
import faiss.contrib.inspect_tools
|
|
import faiss.contrib.ivf_tools
|
|
import faiss.contrib.exhaustive_search
|
|
import faiss.contrib.factory_tools
|
|
import faiss.contrib.vecs_io # noqa: F401
|
|
|
|
def test_contrib_torch_subpackage(self):
|
|
try:
|
|
import torch # noqa: F401
|
|
except ImportError:
|
|
raise unittest.SkipTest("torch not available")
|
|
import faiss.contrib.torch
|
|
import faiss.contrib.torch.clustering
|
|
import faiss.contrib.torch.quantization # noqa: F401
|
|
|
|
|
|
class TestSIMD(unittest.TestCase):
|
|
"""Catch: Dynamic Dispatch not selecting a SIMD path (x86_64 only)."""
|
|
|
|
@unittest.skipIf(
|
|
platform.machine() not in ("x86_64", "AMD64"),
|
|
"SIMD level check only meaningful on x86_64",
|
|
)
|
|
@unittest.skipIf(
|
|
platform.system() == "Windows",
|
|
"Windows wheels are built generic (no SIMD) — see pyproject.toml",
|
|
)
|
|
def test_dd_selects_simd_path(self):
|
|
opts = faiss.get_compile_options()
|
|
if "DD" not in opts:
|
|
raise unittest.SkipTest("Not a Dynamic Dispatch build")
|
|
# DD builds should select at least AVX2 on modern x86_64
|
|
assert "AVX2" in opts or "AVX512" in opts, (
|
|
f"DD build did not select a SIMD path: {opts}"
|
|
)
|