# Copyright (c) Facebook, Inc. and its affiliates. # # This source code is licensed under the MIT license found in the # LICENSE file in the root directory of this source tree. {% set version = environ.get('GIT_DESCRIBE_TAG').lstrip('v') %} {% set suffix = "_nightly" if environ.get('PACKAGE_TYPE') == 'nightly' else "" %} {% set number = GIT_DESCRIBE_NUMBER %} package: name: faiss-pkg version: {{ version }} build: number: {{ number }} about: home: https://github.com/facebookresearch/faiss license: MIT license_family: MIT license_file: LICENSE summary: A library for efficient similarity search and clustering of dense vectors. source: git_url: ../../ outputs: - name: libfaiss script: build-lib.sh # [x86_64 and not win and not osx] script: build-lib-osx.sh # [x86_64 and osx] script: build-lib-arm64.sh # [not x86_64] script: build-lib.bat # [win] build: string: "h{{ PKG_HASH }}_{{ number }}_cuda{{ cudatoolkit }}{{ suffix }}" run_exports: - {{ pin_compatible('libfaiss', exact=True) }} script_env: - CUDA_ARCHS requirements: build: - {{ compiler('cxx') }} - sysroot_linux-64 # [linux64] - llvm-openmp # [osx] - cmake >=3.23.1 - make # [not win] - mkl-devel =2023 # [x86_64] host: - mkl =2023 # [x86_64] - openblas # [not x86_64] - cudatoolkit {{ cudatoolkit }} run: - mkl =2023 # [x86_64] - openblas # [not x86_64] - {{ pin_compatible('cudatoolkit', max_pin='x') }} test: requires: - conda-build commands: - test -f $PREFIX/lib/libfaiss$SHLIB_EXT # [not win] - test -f $PREFIX/lib/libfaiss_avx2$SHLIB_EXT # [x86_64 and not win] - conda inspect linkages -p $PREFIX $PKG_NAME # [not win] - conda inspect objects -p $PREFIX $PKG_NAME # [osx] - name: faiss-gpu script: build-pkg.sh # [x86_64 and not win and not osx] script: build-pkg-osx.sh # [x86_64 and osx] script: build-pkg-arm64.sh # [not x86_64] script: build-pkg.bat # [win] build: string: "py{{ PY_VER }}_h{{ PKG_HASH }}_{{ number }}_cuda{{ cudatoolkit }}{{ suffix }}" requirements: build: - {{ compiler('cxx') }} - sysroot_linux-64 =2.17 # [linux64] - swig - cmake >=3.23.1 - make # [not win] host: - python {{ python }} - numpy >=1.19,<2 - {{ pin_subpackage('libfaiss', exact=True) }} run: - python {{ python }} - numpy >=1.19,<2 - {{ pin_subpackage('libfaiss', exact=True) }} test: requires: - numpy - scipy - pytorch - pytorch-cuda =11.8 - cudatoolkit =11.8 commands: - python -X faulthandler -m unittest discover -v -s tests/ -p "test_*" - python -X faulthandler -m unittest discover -v -s tests/ -p "torch_*" - cp tests/common_faiss_tests.py faiss/gpu/test - python -X faulthandler -m unittest discover -v -s faiss/gpu/test/ -p "test_*" - python -X faulthandler -m unittest discover -v -s faiss/gpu/test/ -p "torch_*" - sh test_cpu_dispatch.sh # [linux64] files: - test_cpu_dispatch.sh # [linux64] source_files: - tests/ - faiss/gpu/test/