diff --git a/.gitignore b/.gitignore index 55a44b07257bc7ab7579c3c75b552f16e9be540c..d5aeca07190085922ba7a663f5b7ece41edbed17 100644 --- a/.gitignore +++ b/.gitignore @@ -18,6 +18,8 @@ a.out .cache .pytest_cache +_git_rev.py + src/ build/ builds/ diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml index 4a9ff53d04972b2718095e74f6eff1a99e3b52f1..6fe8bec98518400d34c863a7529fc8edf3d6148c 100644 --- a/.gitlab-ci.yml +++ b/.gitlab-ci.yml @@ -1,16 +1,54 @@ Flake8: script: - curl -L -O -k https://gitlab.tiker.net/inducer/ci-support/raw/master/prepare-and-run-flake8.sh - - ". ./prepare-and-run-flake8.sh volumential test benchmarks" + - ". ./prepare-and-run-flake8.sh volumential test examples benchmarks" tags: - python3 except: - tags +Pylint: + script: + # Needed to avoid name shadowing issues when running from source directory. + # Pylint won't find the Cython bits without this + - PROJECT_INSTALL_FLAGS="--editable" + - export PY_EXE=python3 + # Pin to numpy 1.15 + # See https://github.com/PyCQA/pylint/issues/2721 + - EXTRA_INSTALL="Cython pybind11 numpy==1.15 mako matplotlib" + - curl -L -O -k https://gitlab.tiker.net/inducer/ci-support/raw/master/prepare-and-run-pylint.sh + - ". ./prepare-and-run-pylint.sh volumential test examples benchmarks" + tags: + - python3 + except: + - tags + +Python 2.7 POCL: + script: + - export PY_EXE=python2.7 + - export PYOPENCL_TEST=portable:pthread + - export HDF5_USE_FILE_LOCKING=FALSE + - export PYTEST_ADDOPTS=${PYTEST_ADDOPTS:--k-slowtest} + - export EXTRA_INSTALL="pybind11 cython numpy pytest scipy mako wheel" + - git submodule sync && git submodule update --init --recursive --remote + - ((cd contrib/meshgen11_dealii/; ./build.sh) && echo "Using meshgen11_dealii.") || (echo "Using boxtree for meshgen.") + - curl -L -O -k https://gitlab.tiker.net/inducer/ci-support/raw/master/build-and-test-py-project.sh + - ". ./build-and-test-py-project.sh" + tags: + - python2.7 + - pocl + - large-node + except: + - tags + artifacts: + reports: + junit: test/pytest.xml + Python 3 POCL: script: - export PY_EXE=python3 - export PYOPENCL_TEST=portable + - export HDF5_USE_FILE_LOCKING=FALSE - export EXTRA_INSTALL="pybind11 cython numpy pytest scipy mako wheel" - git submodule sync && git submodule update --init --recursive --remote - ((cd contrib/meshgen11_dealii/; ./build.sh) && echo "Using meshgen11_dealii.") || (echo "Using boxtree for meshgen.") @@ -20,8 +58,94 @@ Python 3 POCL: - python3 - pocl - dealii + - large-node + except: + - tags + artifacts: + reports: + junit: test/pytest.xml + +Python 3 Intel: + script: + - export PY_EXE=python3 + - source /opt/enable-intel-cl.sh + - export PYOPENCL_TEST="intel(r):pu" + - export HDF5_USE_FILE_LOCKING=FALSE + - export EXTRA_INSTALL="pybind11 cython numpy pytest scipy mako wheel" + - git submodule sync && git submodule update --init --recursive --remote + - ((cd contrib/meshgen11_dealii/; ./build.sh) && echo "Using meshgen11_dealii.") || (echo "Using boxtree for meshgen.") + - curl -L -O -k https://gitlab.tiker.net/inducer/ci-support/raw/master/build-and-test-py-project.sh + - ". ./build-and-test-py-project.sh" + tags: + - python3 + - dealii + - intel-cl-cpu + - large-node + except: + - tags + artifacts: + reports: + junit: test/pytest.xml + +Python 3 Conda: + script: + - export SUMPY_FORCE_SYMBOLIC_BACKEND=symengine + - export CONDA_ENVIRONMENT=.test-conda-env-py3.yml + - export HDF5_USE_FILE_LOCKING=FALSE + - curl -L -O -k https://gitlab.tiker.net/inducer/ci-support/raw/master/build-and-test-py-project-within-miniconda.sh + - ". ./build-and-test-py-project-within-miniconda.sh" + tags: + - linux + - large-node + only: + - /^conda-.*$/i + except: + - tags + artifacts: + reports: + junit: test/pytest.xml + +Python 3 Conda Apple: + script: + - export LC_ALL=en_US.UTF-8 + - export LANG=en_US.UTF-8 + - export CONDA_ENVIRONMENT=.test-conda-env-py3-macos.yml + - export HDF5_USE_FILE_LOCKING=FALSE + - export CC=clang + - set -o xtrace + - curl -L -O -k https://gitlab.tiker.net/inducer/ci-support/raw/master/build-and-test-py-project-within-miniconda.sh + - ". ./build-and-test-py-project-within-miniconda.sh" + tags: + - apple + only: + - /^conda-.*$/i + except: + - tags + artifacts: + reports: + junit: test/pytest.xml + +Python 3 POCL Examples: + script: + - test -n "$SKIP_EXAMPLES" && exit + - export PY_EXE=python3 + - export PYOPENCL_TEST=portable:pthread + - export EXTRA_INSTALL="pybind11 cython numpy pytest scipy mako wheel" + - rm -f examples/*.hdf5 + - git submodule sync && git submodule update --init --recursive --remote + - ((cd contrib/meshgen11_dealii/; ./build.sh) && echo "Using meshgen11_dealii.") || (echo "Using boxtree for meshgen.") + - curl -L -O -k https://gitlab.tiker.net/inducer/ci-support/raw/master/build-py-project-and-run-examples.sh + - ". ./build-py-project-and-run-examples.sh" + tags: + - python3 + - pocl + - dealii + - large-node except: - tags + artifacts: + reports: + junit: test/pytest.xml Documentation Sphinx: script: @@ -50,3 +174,4 @@ Documentation Sphinx: - dealii except: - tags + allow_failure: true diff --git a/.pylintrc-local.yml b/.pylintrc-local.yml new file mode 100644 index 0000000000000000000000000000000000000000..64c2df761960e0971c6f31fa1b4150e8fc0670b2 --- /dev/null +++ b/.pylintrc-local.yml @@ -0,0 +1,10 @@ +- arg: extension-pkg-whitelist + val: numpy +- arg: ignored-modules + val: + - scipy.* + - gmsh +- arg: disable + val: all +- arg: enable + val: E diff --git a/.test-conda-env-py3-macos.yml b/.test-conda-env-py3-macos.yml new file mode 100644 index 0000000000000000000000000000000000000000..54ea6a4eedb50c7200f7b4f9aebe8b7af3f2fd08 --- /dev/null +++ b/.test-conda-env-py3-macos.yml @@ -0,0 +1,39 @@ +name: test-conda-env-py3-macos +channels: + - conda-forge + - defaults +dependencies: + - git + - c-compiler + - binutils + - scipy + - conda-forge::numpy + - conda-forge::sympy + - pocl + - islpy + - pyopencl + - python>=3.6 + - symengine=0.3.0 + - python-symengine=0.3.0 + - cython + - cmake + - tbb-devel + - dealii + - gmsh + - python-gmsh + - pyfmmlib + # for OpenMP support in pyfmmlib + - libgfortran>=3.0.1 + - clangdev + - openmp + + - pip + - pip: + - git+https://gitlab.tiker.net/inducer/loopy + - git+https://www.github.com/xywei/gmsh_interop + - git+https://gitlab.tiker.net/xywei/boxtree + - git+https://gitlab.tiker.net/inducer/modepy + - git+https://gitlab.tiker.net/inducer/meshmode + - git+https://gitlab.tiker.net/inducer/pymbolic + - git+https://gitlab.tiker.net/inducer/sumpy + - git+https://gitlab.tiker.net/inducer/pytential diff --git a/.test-conda-env-py3.yml b/.test-conda-env-py3.yml new file mode 100644 index 0000000000000000000000000000000000000000..37f7c40d06d442436c9f9398b474ef2a04ca5c5e --- /dev/null +++ b/.test-conda-env-py3.yml @@ -0,0 +1,36 @@ +name: test-conda-env-py3 +channels: + - conda-forge + - defaults +dependencies: + - git + - c-compiler + - binutils + - openmp + - scipy + - conda-forge::numpy + - conda-forge::sympy + - pocl + - islpy + - pyopencl + - python=3 + - symengine=0.3.0 + - python-symengine=0.3.0 + - pyfmmlib + - cython + - cmake + - tbb-devel + - dealii + - gmsh + - python-gmsh + + - pip + - pip: + - git+https://gitlab.tiker.net/inducer/loopy + - git+https://www.github.com/xywei/gmsh_interop + - git+https://gitlab.tiker.net/xywei/boxtree + - git+https://gitlab.tiker.net/inducer/modepy + - git+https://gitlab.tiker.net/inducer/meshmode + - git+https://gitlab.tiker.net/inducer/pymbolic + - git+https://gitlab.tiker.net/inducer/sumpy + - git+https://gitlab.tiker.net/inducer/pytential diff --git a/examples/betterplane.brep b/examples/betterplane.brep deleted file mode 100644 index b575bb489e720c149d34c2ec58847d43dd62656d..0000000000000000000000000000000000000000 --- a/examples/betterplane.brep +++ /dev/null @@ -1,2348 +0,0 @@ -DBRep_DrawableShape - -CASCADE Topology V1, (c) Matra-Datavision -Locations 85 -1 - 1 0 0 0 - 0 1 0 0 - 0 0 1 0 -1 - 1 0 0 0 - 0 1 0 0 - 0 0 1 0 -1 - 1 0 0 0 - 0 1 0 0 - 0 0 1 0 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861 2100 175 2083 2100 176 175 2100 177 176 917 831 904 2101 2076 2064 917 844 831 2101 2064 2081 2102 2061 208 2102 208 2089 2102 2084 2061 2102 2072 2084 918 804 853 2102 2089 2072 2103 208 207 2103 2095 2077 2103 2067 2089 2103 2089 208 2103 207 2095 2103 2077 2067 918 858 804 2104 2093 1980 2104 1980 2003 919 878 916 2105 2093 2104 919 890 878 2105 2094 2093 920 855 908 2106 2060 2047 920 871 855 2106 153 152 2106 154 153 2106 2047 2088 2106 2088 154 2107 2100 2083 921 881 22 2107 2083 2098 921 22 21 2107 177 2100 2108 2098 2080 922 866 842 2108 2080 2096 922 842 900 2109 2068 2099 2109 54 55 2109 2079 2068 923 868 910 2109 55 2079 2110 1944 1968 923 888 868 924 904 912 924 917 904 2110 2096 1944 925 857 828 2111 2034 2097 925 828 893 2111 2051 2034 926 854 818 926 818 892 2112 2076 2101 2112 2097 2076 927 921 21 2113 2053 2051 2113 2051 2111 928 884 871 2114 2110 1968 928 871 920 929 890 919 2114 1968 1982 929 900 890 930 813 877 930 865 813 2115 2098 2108 2115 2107 2098 931 844 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885 846 869 2106 2076 2060 2106 2060 2098 886 842 873 2107 2077 2089 2107 2100 2077 886 852 842 2108 2082 2095 2108 2092 2082 887 876 15 2109 2013 2035 888 875 859 888 859 877 2109 2085 2013 2110 2051 2096 889 818 807 889 807 875 2110 2069 2051 890 832 882 2111 2071 2091 2111 2094 2071 890 838 832 891 825 820 2112 2078 2093 891 820 880 2112 2099 2078 892 874 878 892 884 874 2113 1922 1934 893 870 865 893 865 885 2113 2102 1922 894 833 858 894 861 833 2114 2100 2107 2114 2105 2100 895 879 864 895 864 876 2115 2035 2043 2115 2109 2035 896 880 828 896 828 836 2116 2107 2089 2116 2089 2102 897 887 15 2117 2084 2101 2117 2104 2084 2117 85 2104 898 768 802 898 860 768 2118 2093 2105 899 830 883 2118 2112 2093 899 841 830 900 856 881 2119 2087 2069 2119 2069 2110 900 871 856 2120 2101 2103 2120 2117 2101 901 885 869 2120 85 2117 2120 84 85 901 869 879 902 880 896 902 891 880 2121 2010 2087 2121 2048 2010 2122 2048 2121 2122 2049 2048 903 885 901 903 893 885 2123 2108 2095 2123 2095 132 904 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2142 2036 2130 923 913 897 2143 2140 1958 924 882 914 924 890 882 2143 1958 1964 925 883 910 2144 2132 2137 925 899 883 926 912 895 926 895 906 2144 2134 2132 2145 2062 2003 2145 2003 2094 927 917 884 2146 2103 2075 927 884 892 2146 2075 2129 2146 2120 2103 2146 84 2120 2147 2124 2076 2147 2076 2106 928 917 927 928 918 917 929 922 854 2148 2136 2125 2148 2125 2134 929 854 857 930 873 866 2149 2135 2081 930 866 920 2149 2081 2099 2150 2121 2087 2150 2087 2119 931 915 912 931 912 926 2151 2122 2121 2151 2121 2150 932 906 913 932 926 906 2152 2073 2059 933 916 14 2152 2059 2142 934 919 772 2153 2079 2139 2153 2096 2079 934 772 782 2154 2092 2108 935 858 825 2154 2141 2092 935 825 891 2155 117 1925 2155 1925 2124 936 931 926 936 926 932 2156 2126 2140 2156 2137 2126 2157 2130 2141 2157 2142 2130 937 923 904 2158 2094 2111 937 904 916 2158 2145 2094 938 920 905 938 905 919 939 911 899 2159 2148 2134 939 44 45 939 899 925 2159 2134 2144 939 45 911 940 855 754 2160 2156 2140 2160 2140 2143 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2193 2198 2166 2160 2199 2171 2188 978 957 800 2199 2185 2171 978 800 815 2200 2174 2155 2200 2155 2181 979 962 959 979 959 972 2201 131 130 2201 2187 2169 2201 2169 131 980 947 958 980 969 947 2202 2190 2136 981 956 940 2202 2136 2148 2203 2199 2188 2203 2188 2189 981 940 965 982 941 921 2204 2063 2085 2204 2189 2063 982 921 961 983 892 878 983 878 970 2205 2191 2178 984 954 975 2205 2178 2194 984 960 954 2206 2205 2194 985 888 967 2206 2194 2195 985 907 888 986 958 968 986 980 958 2207 2165 2196 2207 2175 2165 2208 2197 2179 987 881 971 2208 2179 2191 987 900 881 988 973 935 988 935 950 2209 2181 2147 2209 2147 2173 2210 2119 2175 989 953 969 2210 2150 2119 989 972 953 2211 2150 2210 990 976 14 2211 2151 2150 2212 2174 2200 991 896 836 2212 118 2174 991 836 918 992 941 982 2213 1995 2028 2213 2176 1995 992 951 941 993 971 974 993 987 971 2214 2195 2187 2214 2187 2201 994 979 972 2215 2185 2199 2215 2196 2185 994 972 989 995 970 956 995 956 981 2216 2122 2151 2216 2184 2122 2217 2202 2148 996 968 976 996 986 968 997 975 957 2217 2148 2159 2218 2138 2062 997 957 978 2218 2062 2145 998 918 928 998 991 918 2219 2183 2166 999 989 969 2219 2166 2198 999 969 980 2220 2215 2199 2220 2199 2203 2221 2189 2204 2221 2203 2189 1000 894 973 1000 914 894 2222 2184 2216 2222 2192 2184 1001 977 960 2223 2191 2205 1001 960 984 2223 2208 2191 1002 910 900 1002 900 987 1003 902 896 2224 2223 2205 2224 2205 2206 1003 896 991 2225 2214 2201 2225 2201 130 2226 2195 2214 2226 2206 2195 1004 989 999 1004 994 989 2227 2196 2215 1005 984 975 2227 2207 2196 2228 2204 2085 1005 975 997 1006 987 993 2228 2085 2109 1006 1002 987 2229 2227 2215 2229 2215 2220 1007 815 831 1007 978 815 2230 2176 2213 2230 2193 2176 2231 2218 2145 2231 2145 2158 1008 967 951 2232 2213 2028 1008 951 992 2232 2028 2052 1009 990 14 2233 2052 2053 2233 2232 2052 1010 970 995 1010 983 970 2234 2220 2203 1011 999 980 2234 2203 2221 1011 980 986 1012 886 943 2235 2200 2181 2235 2181 2209 1012 944 886 2236 2159 2177 1013 914 1000 2236 2217 2159 1013 924 914 2237 2228 2109 2237 2109 2115 1014 991 998 1014 1003 991 1015 976 990 2238 2158 2111 1015 996 976 1016 1009 14 2238 2111 2180 2239 2173 2133 1017 1004 999 1017 999 1011 2239 2133 2192 2240 2198 2193 2240 2193 2230 1018 973 988 1018 1000 973 2241 2236 2177 2241 2177 2183 1019 952 838 2242 2138 2218 2242 2161 2138 1019 838 890 2242 83 2161 1020 925 910 2243 2226 2214 2243 2214 2225 1020 910 1002 2243 2225 130 1021 1011 986 2244 2212 2200 1021 986 996 2244 2200 2235 2245 2221 2204 2245 2204 2228 2246 2175 2207 1022 1007 831 1022 831 840 2246 2210 2175 2247 2211 2210 2247 2210 2246 1023 961 909 2248 2206 2226 1023 909 966 2248 2224 2206 2249 2115 2127 2249 2237 2115 1024 927 892 1024 892 983 1025 928 927 2250 2220 2234 1025 927 1024 2250 2229 2220 2251 2228 2237 2251 2245 2228 1026 984 1005 2252 2230 2213 1026 1001 984 2252 2213 2232 1027 1013 1000 1027 1000 1018 2253 2252 2232 2253 2232 2233 1028 1017 1011 1028 1011 1021 2254 2238 2180 1029 1002 1006 2254 2180 2197 1029 1020 1002 2255 2243 130 1030 997 978 2255 130 129 2256 2219 2198 1030 978 1007 2256 2198 2240 1031 985 967 1031 967 1008 2257 2233 2053 1032 857 946 2257 2053 2083 1032 929 857 2258 83 2242 2258 2218 2231 2258 2242 2218 2258 82 83 1033 943 963 2259 2221 2245 2259 2234 2221 1033 1012 943 2260 2240 2230 2260 2230 2252 1034 990 1009 1034 1015 990 2261 2260 2252 1035 966 952 2261 2252 2253 1035 952 1019 2262 2226 2243 1036 1009 1016 1036 1034 1009 2262 2248 2226 2263 2249 2127 2263 2127 2135 1037 1021 996 1037 996 1015 2264 2251 2237 1038 939 925 2264 2237 2249 1038 925 1020 1038 44 939 2265 2246 2207 1039 997 1030 2265 2207 2227 1039 1005 997 1040 1007 1022 2266 2259 2245 2266 2245 2251 1040 1030 1007 2267 2247 2246 2267 2246 2265 2268 2265 2227 1041 1021 1037 2268 2227 2229 1041 1028 1021 2269 2265 2268 1042 1020 1029 2269 2267 2265 1042 1038 1020 1042 44 1038 2270 2197 2208 1043 961 1023 2270 2254 2197 1043 982 961 1044 1033 963 2271 2257 2083 2271 2083 2097 2271 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863 887 3377 3354 63 2126 2108 2079 921 919 900 921 900 904 3378 3324 3307 2127 1990 2104 3378 3307 3362 922 902 893 2127 2011 1990 922 893 911 2128 2105 70 3379 3364 3345 3379 3345 3363 2128 70 69 3380 3372 3343 3380 3343 3352 2129 2074 2096 923 866 758 2129 2106 2074 923 758 811 3381 3338 3355 3381 3363 3338 924 913 894 2130 2051 2107 924 894 905 3382 3336 3356 3382 109 3361 3382 3361 3336 2130 2071 2051 925 867 852 925 852 916 2131 2107 2078 3383 3341 3357 3383 3367 3341 2131 2078 2099 3384 3362 3312 2132 2118 2091 926 901 912 926 917 901 3384 3312 3337 927 870 906 2132 2091 2106 3385 3365 3334 3385 3334 3354 927 884 870 2133 2112 2086 2133 2086 2102 928 879 874 2134 2110 2085 928 874 918 2134 2085 2105 3386 3348 3365 3386 3371 3348 929 869 908 3387 3359 3375 929 882 869 3387 3373 3359 930 835 913 3388 3368 3247 930 848 835 2135 2113 2108 2135 2108 2126 3388 3247 3269 931 842 826 2136 2016 2011 3389 3377 63 931 826 910 3390 3370 20 2136 2011 2127 3390 3351 3370 3390 3376 3351 2137 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2004 1983 788 758 771 3290 3274 3258 789 729 716 3291 3255 3272 2014 1983 1992 789 716 774 3291 3276 3255 2015 1998 1976 3292 3144 3133 3292 3167 3144 3292 3180 3167 790 761 777 3292 225 224 790 772 761 3292 3232 3209 3292 3133 3100 3292 3100 225 2015 1976 1991 3292 3209 3180 3293 3285 3261 2016 1994 1988 791 706 673 791 673 750 2016 1988 2009 3293 3261 3271 2017 1965 1942 3294 3262 3273 3294 3282 3262 792 666 730 3294 109 3282 2017 1942 1995 3295 3278 3253 2018 1978 1952 3295 3253 3274 792 715 666 2018 1952 1993 793 750 754 2019 2011 70 793 791 750 3296 3120 3225 3296 3197 3120 794 773 82 3297 3279 3257 2020 2000 1987 794 82 81 3297 3257 3275 2020 1987 2005 3298 3238 3279 795 720 779 3298 3259 3238 2021 1980 1958 795 742 720 3299 3277 3266 3299 3266 3286 2021 1958 1996 796 729 789 2022 1967 2000 2022 1984 1967 796 743 729 3300 3236 20 797 751 782 3300 3138 3236 3300 3206 3138 2023 2010 1961 797 769 751 3301 3286 3267 3301 3267 3281 3302 3263 3278 2023 1961 1971 798 759 744 2024 1997 2008 3302 3287 3263 798 744 784 3303 3284 3220 2024 2012 1997 799 95 786 800 722 704 3303 3220 3239 2025 2008 1986 3304 3211 3206 3304 20 21 800 704 785 3304 3300 20 3304 3206 3300 2025 1986 1998 801 774 788 3305 3276 3291 801 789 774 802 772 790 3305 3290 3276 2026 1922 1898 802 787 772 3306 109 3294 2026 1898 1994 3306 3294 3273 2027 1907 1834 3306 3273 3284 3307 3291 3272 803 718 787 2027 1834 1925 3307 3272 3285 803 733 718 2028 1895 2003 3308 3271 3283 3308 3293 3271 804 719 706 2028 1914 1895 804 706 791 3309 3268 3287 2029 1991 1999 2029 2015 1991 3309 3288 3268 3310 3289 61 3310 3308 3283 3310 3283 3289 2030 1940 1918 3311 3307 3285 805 726 693 3311 3285 3293 2030 1918 2002 805 693 765 3312 3274 3290 3312 3295 3274 2031 1971 1948 806 773 794 2031 1948 2006 806 785 773 2032 1923 2001 3313 3299 3286 807 769 797 3313 3286 3301 807 779 769 3314 3232 3292 3314 3292 224 3314 3260 3232 2032 1947 1923 808 791 793 3315 3298 3279 2033 2013 1990 808 804 791 3315 3279 3297 2033 1990 2004 2034 1926 1904 3316 3239 3256 809 768 698 2034 1904 2010 809 698 734 3316 108 3303 3316 3303 3239 3317 199 3265 810 726 805 810 738 726 2035 1925 1929 3318 3259 3298 2035 1929 172 2035 2027 1925 3318 3281 3259 2036 1944 1973 3319 3278 3295 811 789 801 3319 3302 3278 2036 2003 1944 811 796 789 812 763 736 2037 1947 2032 812 736 783 3320 3305 3291 2037 1959 1947 3320 3291 3307 2038 1992 2011 813 767 763 2038 2014 1992 3321 3225 3250 813 763 812 3321 3296 3225 3322 3314 224 3322 3260 3314 3322 3270 3260 2039 1998 2015 814 757 742 3323 3309 3287 3323 3287 3302 814 742 795 3324 108 109 2039 2025 1998 3324 109 3306 3324 3303 108 3324 3306 3284 2040 2024 2008 3324 3284 3303 3325 3316 3256 815 771 759 3325 3256 3264 2040 2008 2025 815 759 798 3325 108 3316 2041 1999 2013 816 805 765 3326 3320 3307 816 765 775 2041 2029 1999 3326 3307 3311 2042 1996 2012 3327 199 3317 2042 2021 1996 3327 200 199 817 760 711 3328 3311 3293 817 711 767 818 735 770 3328 3293 3308 2043 2004 2014 818 781 735 2043 2033 2004 3329 3290 3305 3329 3312 3290 819 95 799 2044 2019 70 820 787 802 2045 1985 1965 3330 3328 3308 820 803 787 3330 3308 3310 3330 3310 61 2045 1965 2017 3331 3317 3265 2046 2000 2020 821 792 730 821 730 760 3331 3265 3280 2046 2022 2000 3332 3298 3315 822 781 818 3332 3318 3298 822 783 781 3333 3295 3312 2047 2038 2011 3333 3319 3295 2047 2011 2019 823 722 800 823 740 722 2048 1978 2018 2048 2001 1978 3334 108 3325 3334 3325 3264 824 719 804 3334 3264 3277 3335 3281 3318 2049 1994 2016 824 739 719 3335 3301 3281 2049 2026 1994 2050 2034 2010 3336 3323 3302 3336 3302 3319 2050 2010 2023 825 810 805 3337 3249 3211 2051 1984 2022 825 805 816 3337 3211 3304 2051 2007 1984 3337 3304 21 826 804 808 2052 1980 2021 3338 3326 3311 2052 2006 1980 826 824 804 3338 3311 3328 827 800 785 3339 3249 3337 827 785 806 3339 3250 3249 2053 1963 1940 3339 3337 21 2053 1940 2030 828 784 768 828 768 809 3340 3329 3305 3340 3305 3320 2054 2042 2012 829 795 779 3341 3317 3331 2054 2012 2024 829 779 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IN NO EVENT SHALL THE -AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER -LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, -OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN -THE SOFTWARE. -""" - -import logging - -logger = logging.getLogger(__name__) - -import numpy as np -import pyopencl as cl -import boxtree as bt -import sumpy as sp -import volumential as vm -import pymbolic as pmbl - -from functools import partial - -from meshmode.mesh.processing import affine_map -from meshmode.discretization.visualization import make_visualizer - -from pytential import bind, sym, norm # noqa -from pytential.symbolic.pde.scalar import DirichletOperator -from sumpy.kernel import LaplaceKernel -from volumential.volume_fmm import interpolate_volume_potential -from volumential.tools import ScalarFieldExpressionEvaluation as Eval -from volumential.tools import clean_file - -ctx = cl.create_some_context() -queue = cl.CommandQueue(ctx) - -print("") -print("*************************") -print("* Setting up...") -print("*************************") - -# {{{ configs - -dim = 3 -dtype = np.float64 -nftable_datafile = "nft_laplace3d_1_to_9.hdf5" -physical_domain = "dice" -# physical_domain = "betterplane" -verbose = False - -if verbose: - logging.basicConfig(level=logging.INFO) -logger = logging.getLogger(__name__) - -loc_sign = -1 # +1 for exterior, -1 for interior - -q_order = 3 # (volumetric) quadrature order -m_order = 10 # multipole order - -mesh_order = 2 # meshmode's volume mesh order, only useful for dice - -bdry_quad_order = 2 # meshmode's boundary discr order -bdry_ovsmp_quad_order = 4 # qbx's fine_order -qbx_order = 10 # qbx order -# Converging: 10, 12 -# Not converging: 15, 20 -qbx_fmm_order = 10 # qbx's fmm_order - -if physical_domain == "dice": - # bounding box - a = -0.3 - b = 0.3 - # boundary mesh control - h = 0.02 -else: - a = None - b = None - h = 0.2 - -# volume (adaptive) mesh control -n_levels = 8 # 2^(n_levels-1) subintervals in 1D, must be at least 2 if not adaptive. -# If adaptive mesh, this is the initial number of levels before further -# adaptive refinements -adaptive_mesh = False -n_refinement_loops = 100 -refined_n_cells = 50000 -rratio_top = 0.1 -rratio_bot = 0.5 - - -def refinement_flag(f, u=0): - """ - Input source field value f and solution value u (if available), - output non-negative flags used for mesh refinement. - """ - return np.abs(f) - - -visual_order = 1 -write_bdry_vtu = True -write_vol_vtu = True -write_box_vtu = False - -# }}} End configs - -# {{{ analytic solution - -x = pmbl.var("x") -y = pmbl.var("y") -z = pmbl.var("z") - -norm2 = x ** 2 + y ** 2 + z ** 2 -source_expr = -1 -solu_expr = 1 / 6 * norm2 -logger.info("Source expr: " + str(source_expr)) -logger.info("Solu expr: " + str(solu_expr)) - -source_eval = Eval(dim, source_expr, [x, y, z]) -solu_eval = Eval(dim, solu_expr, [x, y, z]) - -# }}} End analytic solution - -print("Multipole order =", m_order) - -# {{{ make boundary mesh - -vol_quad_order = q_order - -from meshmode.mesh.io import generate_gmsh, FileSource # noqa -from meshmode.mesh.io import read_gmsh - -disp = np.zeros(dim) - -import os - -mesh_file = "./gmsh_tmp/mesh.msh" -if os.path.isfile(mesh_file): - logger.info("Reading mesh file mesh.msh") - physical_mesh = read_gmsh(mesh_file, force_ambient_dim=dim) - -else: - - if physical_domain == "dice": - physical_mesh = generate_gmsh( - FileSource("dice.step"), - dim, - order=mesh_order, - force_ambient_dim=dim, - other_options=[ - "-string", - "Mesh.CharacteristicLengthMax = %g;" % h - + "Mesh.CharacteristicLengthFromCurvature = %g;" % 1, - ], - output_file_name="mesh.msh", - keep_tmp_dir=True, - ) - - elif physical_domain == "betterplane": - from meshmode.mesh.io import generate_gmsh, ScriptWithFilesSource - - tmp_physical_mesh = generate_gmsh( - ScriptWithFilesSource( - """ - Merge "betterplane.brep"; - - Mesh.CharacteristicLengthMax = %(lcmax)f; - Mesh.ElementOrder = 2; - Mesh.CharacteristicLengthExtendFromBoundary = 0; - - // 2D mesh optimization - // Mesh.Lloyd = 1; - - l_superfine() = Unique(Abs(Boundary{ Surface{ - 27, 25, 17, 13, 18 }; })); - l_fine() = Unique(Abs(Boundary{ Surface{ 2, 6, 7}; })); - l_coarse() = Unique(Abs(Boundary{ Surface{ 14, 16 }; })); - - // p() = Unique(Abs(Boundary{ Line{l_fine()}; })); - // Characteristic Length{p()} = 0.05; - - Field[1] = Attractor; - Field[1].NNodesByEdge = 100; - Field[1].EdgesList = {l_superfine()}; - - Field[2] = Threshold; - Field[2].IField = 1; - Field[2].LcMin = 0.075; - Field[2].LcMax = %(lcmax)f; - Field[2].DistMin = 0.1; - Field[2].DistMax = 0.4; - - Field[3] = Attractor; - Field[3].NNodesByEdge = 100; - Field[3].EdgesList = {l_fine()}; - - Field[4] = Threshold; - Field[4].IField = 3; - Field[4].LcMin = 0.1; - Field[4].LcMax = %(lcmax)f; - Field[4].DistMin = 0.15; - Field[4].DistMax = 0.4; - - Field[5] = Attractor; - Field[5].NNodesByEdge = 100; - Field[5].EdgesList = {l_coarse()}; - - Field[6] = Threshold; - Field[6].IField = 5; - Field[6].LcMin = 0.15; - Field[6].LcMax = %(lcmax)f; - Field[6].DistMin = 0.2; - Field[6].DistMax = 0.4; - - Field[7] = Min; - Field[7].FieldsList = {2, 4, 6}; - - Background Field = 7; - """ - % {"lcmax": h}, - ["betterplane.brep"], - ), - 2, - output_file_name="mesh.msh", - keep_tmp_dir=True, - ) - - # Flip elements--gmsh generates inside-out geometry. - from meshmode.mesh.processing import perform_flips - - physical_mesh = perform_flips( - tmp_physical_mesh, np.ones(tmp_physical_mesh.nelements) - ) - - # Translate vertices to make the mesh centered at origin - for iaxis in range(dim): - ai = np.min(physical_mesh.vertices[iaxis]) - bi = np.max(physical_mesh.vertices[iaxis]) - ci = (ai + bi) * 0.5 - disp[iaxis] = -ci - # assert len(physical_mesh.groups) == 1 - # physical_mesh.vertices[iaxis] -= ci - # physical_mesh.groups[0].nodes[iaxis] -=ci - print(iaxis, ":", ai, bi, ci) - physical_mesh = affine_map(physical_mesh, None, disp) - - else: - raise NotImplementedError - -logger.info("%d boundary elements" % physical_mesh.nelements) - -# debug output -if 0: - from meshmode.mesh.visualization import write_vertex_vtk_file - - write_vertex_vtk_file(physical_mesh, "physical_mesh.vtu") - -# infer bbox -if a is None or b is None: - a = np.min(physical_mesh.vertices) * 1.01 - b = np.max(physical_mesh.vertices) * 1.01 - -if physical_domain == "dice": - from meshmode.discretization import Discretization - from meshmode.discretization.poly_element import ( - InterpolatoryQuadratureSimplexGroupFactory, - ) - - vol_discr = Discretization( - ctx, physical_mesh, InterpolatoryQuadratureSimplexGroupFactory(vol_quad_order) - ) - - from meshmode.mesh import BTAG_ALL - from meshmode.discretization.connection import make_face_restriction - - bdry_connection = make_face_restriction( - vol_discr, InterpolatoryQuadratureSimplexGroupFactory(bdry_quad_order), BTAG_ALL - ) - bdry_discr = bdry_connection.to_discr -else: - # in this case, vol_discr is a test region used for visualization - # and there is no needed connection between vol_discr and bdry_discr - import meshmode.mesh.generation - from meshmode.discretization import Discretization - from meshmode.discretization.poly_element import ( - InterpolatoryQuadratureSimplexGroupFactory, - ) - - if 0: - test_mesh = meshmode.mesh.generation.generate_regular_rect_mesh( - (a, a, a), (b, b, b), (50, 50, 50), order=1 - ) - - vol_physical_mesh = generate_gmsh( - FileSource("betterplane.brep"), - dim, - order=1, - force_ambient_dim=dim, - other_options=[ - "-string", - "Mesh.CharacteristicLengthMax = %g;" % h - + "Mesh.CharacteristicLengthFromCurvature = %g;" % 1, - ], - output_file_name="vol_mesh.msh", - keep_tmp_dir=True, - ) - - logger.info("shifting volume mesh") - print(disp) - vol_physical_mesh = affine_map(vol_physical_mesh, None, disp) - - if 0: - # shrik the plane a little to make better visuals - print("shrinking volume mesh") - A = np.eye(dim) * 0.95 - print(A) - vol_physical_mesh = affine_map(vol_physical_mesh, A, None) - - vol_discr = Discretization( - ctx, - vol_physical_mesh, - InterpolatoryQuadratureSimplexGroupFactory(vol_quad_order), - ) - bdry_discr = Discretization( - ctx, physical_mesh, InterpolatoryQuadratureSimplexGroupFactory(bdry_quad_order) - ) - -logger.info("%d boundary node" % bdry_discr.nnodes) - -# ensure bounding box properties -print( - "Boundary nodes are in range:", - np.min(physical_mesh.vertices), - np.max(physical_mesh.vertices), -) - -if a is None or b is None: - # Auto choose bbox from mesh - pass -else: - assert a < np.min(physical_mesh.vertices) - assert b > np.max(physical_mesh.vertices) - -# }}} End make boundary mesh - -# {{{ generate quad points - -import volumential.meshgen as mg - -mesh = mg.MeshGen3D(q_order, n_levels, a, b) -if not adaptive_mesh: - mesh.print_info() - q_points = mesh.get_q_points() - q_weights = mesh.get_q_weights() - q_radii = None - -else: - - iloop = 0 - while mesh.n_active_cells() < refined_n_cells: - iloop += 1 - crtr = np.array( - [ - np.abs(refinement_flag(source_field(c[0], c[1], c[2])) * m) - for (c, m) in zip(mesh.get_cell_centers(), mesh.get_cell_measures()) - ] - ) - mesh.update_mesh(crtr, rratio_top, rratio_bot) - if iloop > n_refinement_loops: - print("Max number of refinement loops reached.") - break - - mesh.print_info() - q_points = mesh.get_q_points() - q_weights = mesh.get_q_weights() - q_radii = None - -if write_box_vtu: - mesh.generate_gmsh("grid.msh") - -assert len(q_points) == len(q_weights) -assert q_points.shape[1] == dim - -q_points_org = q_points -q_points = np.ascontiguousarray(np.transpose(q_points)) - -from pytools.obj_array import make_obj_array - -q_points = make_obj_array([cl.array.to_device(queue, q_points[i]) for i in range(dim)]) - -q_weights = cl.array.to_device(queue, q_weights) - -# }}} - -# {{{ build tree and traversals - -from boxtree.tools import AXIS_NAMES - -axis_names = AXIS_NAMES[:dim] - -from pytools import single_valued - -coord_dtype = single_valued(coord.dtype for coord in q_points) -from boxtree.bounding_box import make_bounding_box_dtype - -bbox_type, _ = make_bounding_box_dtype(ctx.devices[0], dim, coord_dtype) - -bbox = np.empty(1, bbox_type) -if a is None or b is None: - for ax, iax in zip(axis_names, range(dim)): - bbox["min_" + ax] = a - bbox["max_" + ax] = b -else: - for ax in axis_names: - bbox["min_" + ax] = a - bbox["max_" + ax] = b - -# tune max_particles_in_box to reconstruct the mesh -# TODO: use points from FieldPlotter are used as target points for better -# visuals -from boxtree import TreeBuilder - -tb = TreeBuilder(ctx) -tree, _ = tb( - queue, - particles=q_points, - targets=q_points, - bbox=bbox, - max_particles_in_box=q_order ** dim * (2 ** dim) - 1, - kind="adaptive-level-restricted", -) - -from boxtree.traversal import FMMTraversalBuilder - -tg = FMMTraversalBuilder(ctx) -trav, _ = tg(queue, tree) - -# }}} End build tree and traversals - -logger.info("discretizing source field") -source_vals = cl.array.to_device( - queue, source_eval(queue, np.array([coords.get() for coords in q_points])) -) - -# {{{ build near field potential table - -force_recompute = False -from volumential.table_manager import NearFieldInteractionTableManager - -tm = NearFieldInteractionTableManager(nftable_datafile, root_extent=2) -nftable, _ = tm.get_table( - dim, - "Laplace", - q_order, - force_recompute=force_recompute, - compute_method="DrosteSum", - queue=queue, - n_brick_quad_points=120, - adaptive_level=False, - use_symmetry=True, - alpha=0, - n_levels=1, -) - -# }}} End build near field potential table - -# {{{ sumpy expansion for laplace kernel - -from sumpy.expansion import DefaultExpansionFactory - -knl = LaplaceKernel(dim) -out_kernels = [knl] - -expn_factory = DefaultExpansionFactory() -local_expn_class = expn_factory.get_local_expansion_class(knl) -mpole_expn_class = expn_factory.get_multipole_expansion_class(knl) - -exclude_self = True -from volumential.expansion_wrangler_interface import ExpansionWranglerCodeContainer - -wcc = ExpansionWranglerCodeContainer( - ctx, - partial(mpole_expn_class, knl), - partial(local_expn_class, knl), - out_kernels, - exclude_self=exclude_self, -) - -if exclude_self: - target_to_source = np.arange(tree.ntargets, dtype=np.int32) - self_extra_kwargs = {"target_to_source": target_to_source} -else: - self_extra_kwargs = {} - -from volumential.expansion_wrangler_fpnd import FPNDExpansionWrangler - -wrangler = FPNDExpansionWrangler( - code_container=wcc, - queue=queue, - tree=tree, - near_field_table=nftable, - dtype=dtype, - fmm_level_to_order=lambda kernel, kernel_args, tree, lev: m_order, - quad_order=q_order, - self_extra_kwargs=self_extra_kwargs, -) - -# }}} End sumpy expansion for laplace kernel - -print("Bounding box: [", a, b, "]^2") -print("Number of boundary nodes: ", bdry_discr.nnodes) - -# {{{ make box discr - -if write_box_vtu: - # convert from legacy format to whatever up-to-date - import os - - os.system("gmsh grid.msh convert_grid -") - - from meshmode.mesh.io import read_gmsh - - modemesh = read_gmsh("grid.msh", force_ambient_dim=None) - - # generate new discretization (not using FMM quad points) - from meshmode.discretization.poly_element import ( - LegendreGaussLobattoTensorProductGroupFactory, - ) - - box_discr = Discretization( - ctx, modemesh, LegendreGaussLobattoTensorProductGroupFactory(q_order) - ) - -# }}} End make box discr - -print("") -print("*************************") -print("* Evaluating: ") -print("* Volume Potential... ") -print("*************************") - -from volumential.volume_fmm import drive_volume_fmm - -pot, = drive_volume_fmm( - trav, wrangler, source_vals * q_weights, source_vals, direct_evaluation=False -) - -# interpolate solution -nodes_x = vol_discr.nodes()[0].with_queue(queue).get() -nodes_y = vol_discr.nodes()[1].with_queue(queue).get() -nodes_z = vol_discr.nodes()[2].with_queue(queue).get() -nodes = make_obj_array( # get() first for CL compatibility issues - [ - cl.array.to_device(queue, nodes_x), - cl.array.to_device(queue, nodes_y), - cl.array.to_device(queue, nodes_z), - ] -) -vol_pot = interpolate_volume_potential(nodes, trav, wrangler, pot) - -print("") -print("*************************") -print("* Evaluating: ") -print("* Boundary Conditions... ") -print("*************************") - -from pytential.qbx import QBXLayerPotentialSource, QBXTargetAssociationFailedException - -# TODO: use fmmlib as backend -qbx, _ = QBXLayerPotentialSource( - bdry_discr, - fine_order=bdry_ovsmp_quad_order, - qbx_order=qbx_order, - _from_sep_smaller_min_nsources_cumul=30, - fmm_order=qbx_fmm_order, -).with_refinement() - -bdry_discr = qbx.density_discr - -bdry_nodes_x = bdry_discr.nodes()[0].with_queue(queue).get() -bdry_nodes_y = bdry_discr.nodes()[1].with_queue(queue).get() -bdry_nodes_z = bdry_discr.nodes()[2].with_queue(queue).get() -bdry_nodes = make_obj_array( # get() first for CL compatibility issues - [ - cl.array.to_device(queue, bdry_nodes_x), - cl.array.to_device(queue, bdry_nodes_y), - cl.array.to_device(queue, bdry_nodes_z), - ] -) - -bdry_pot = interpolate_volume_potential(bdry_nodes, trav, wrangler, pot) -assert len(bdry_pot) == bdry_discr.nnodes - -bdry_condition = solu_eval(queue, np.array([bdry_nodes_x, bdry_nodes_y, bdry_nodes_z])) -bdry_condition = cl.array.to_device(queue, bdry_condition) - -bdry_vals = bdry_condition - bdry_pot - -print("") -print("*************************") -print("* Solving BVP... ") -print("*************************") - -op = DirichletOperator(LaplaceKernel(dim), loc_sign, use_l2_weighting=False) -sym_sigma = sym.var("sigma") -op_sigma = op.operator(sym_sigma) - -if 0: - from meshmode.discretization.visualization import make_visualizer - - bdry_vis = make_visualizer(queue, bdry_discr, visual_order) - - bdry_normals = bind(bdry_discr, sym.normal(dim))(queue).as_vector(dtype=object) - - clean_file("boudnary_normals.vtu") - bdry_vis.write_vtk_file("boundary_nornmals.vtu", [("bdry_normals", bdry_normals)]) - -qbx_stick_out = qbx.copy(target_stick_out_factor=0.01) -bound_op = bind(qbx_stick_out, op_sigma) -bvp_rhs = bind(bdry_discr, op.prepare_rhs(sym.var("bc")))(queue, bc=bdry_vals) - -from pytential.solve import gmres - -gmres_result = gmres( - bound_op.scipy_op(queue, "sigma", dtype=np.float64), - bvp_rhs, - tol=1e-14, - progress=True, - hard_failure=False, -) - -sigma = bind(qbx_stick_out, sym_sigma)(queue, sigma=gmres_result.solution) -print("gmres state:", gmres_result.state) - -print("") -print("*************************") -print("* Finalizing Solution... ") -print("*************************") - -""" -qbx_forced_limit – - -+1 if the output is required to originate from a QBX center on the “+” side -of the boundary. -1 for the other side. Evaluation at a target with a value of -+/- 1 in qbx_forced_limit will fail if no QBX center is found. - -+2 may be used to allow evaluation QBX center on the “+” side of the (but -disallow evaluation using a center on the “-” side). Potential evaluation at the -target still succeeds if no applicable QBX center is found. (-2 for the analogous -behavior on the “-” side.) - -None may be used to avoid expressing a side preference for close evaluation. - -'avg' may be used as a shorthand to evaluate this potential as an average of the -+1 and the -1 value. -""" -from sumpy.visualization import FieldPlotter - -fplot = FieldPlotter(np.zeros(dim), extent=20, npoints=50) -vol_qbx_stick_out = qbx.copy(target_stick_out_factor=0.1) -try: - bvp_sol = bind( - (vol_qbx_stick_out, vol_discr), - op.representation(sym_sigma, qbx_forced_limit=None), - )(queue, sigma=sigma) -except QBXTargetAssociationFailedException as e: - clean_file("poisson3d-failed-targets.vts") - logger.warn("Failed targets are present.") - bvp_sol = 0.0 - vis = make_visualizer(queue, vol_discr, 1) - vis.write_vtk_file( - "poisson3d-failed-targets.vts", [("failed", e.failed_target_flags)] - ) - -solu = bvp_sol + vol_pot - -bdry_qbx_stick_out = qbx.copy(target_stick_out_factor=0.01) -bdry_bvp_sol = bind( - (bdry_qbx_stick_out, bdry_discr), op.representation(sym_sigma, qbx_forced_limit=-1) -)(queue, sigma=sigma) - -bdry_bvp_sol2 = bind( - (bdry_qbx_stick_out, bdry_discr), op.representation(sym_sigma, qbx_forced_limit=+1) -)(queue, sigma=sigma) - -bdry_bvp_sol_avg = bind( - (bdry_qbx_stick_out, bdry_discr), - op.representation(sym_sigma, qbx_forced_limit="avg"), -)(queue, sigma=sigma) - -print("") -print("*************************") -print("* Postprocessing... ") -print("*************************") - -if 0: - test_nodes_x = np.array([0.0]) - test_nodes_y = np.array([0.0]) - test_nodes_z = np.array([0.0]) - test_nodes = make_obj_array( - [ - cl.array.to_device(queue, test_nodes_x), - cl.array.to_device(queue, test_nodes_y), - cl.array.to_device(queue, test_nodes_z), - ] - ) - from pytential.target import PointsTarget - - test_discr = PointsTarget(test_nodes, normals=None) - - poisson_true_sol = solu_eval( - queue, np.array([test_nodes_x, test_nodes_y, test_nodes_z]) - ) - test_solu = ( - interpolate_volume_potential(test_nodes, trav, wrangler, pot).get() - + bind((qbx, test_discr), op.representation(sym_sigma, qbx_forced_limit=-2))( - queue, sigma=sigma - ).get() - ) - - poisson_err = test_solu - poisson_true_sol - - # rel_err = ( - # norm(vol_discr, queue, poisson_err) - # / - # norm(vol_discr, queue, poisson_true_sol)) - rel_err = np.linalg.norm(poisson_err) - print("rel err: %g" % rel_err) - -print("Writing vtu..") - -# {{{ write vtu - -if write_vol_vtu: - vis = make_visualizer(queue, vol_discr, visual_order) - clean_file("poisson-3d.vtu") - vis.write_vtk_file( - "poisson-3d.vtu", - [ - ("x", vol_discr.nodes()[0]), - ("y", vol_discr.nodes()[1]), - ("z", vol_discr.nodes()[2]), - ("bvp_sol", bvp_sol), - ("vol_pot", vol_pot), - ("solu", solu), - ], - ) -else: - pass - -if write_bdry_vtu: - bdry_normals = bind(bdry_discr, sym.normal(dim))(queue).as_vector(dtype=object) - bdry_vis = make_visualizer(queue, bdry_discr, visual_order) - clean_file("poisson-3d-bdry.vtu") - bdry_vis.write_vtk_file( - "poisson-3d-bdry.vtu", - [ - ("bdry_normals", bdry_normals), - ("bdry_bvp_sol", bdry_bvp_sol), - ("bdry_bvp_sol_+1", bdry_bvp_sol2), - ("bdry_bvp_sol_avg", bdry_bvp_sol_avg), - ("density_sigma", sigma), - ("BC_vals", bdry_condition), - ("VP_vals", bdry_pot), - ("BC-VP", bdry_vals), - ], - ) -else: - pass - -if write_box_vtu: - raise NotImplementedError -else: - pass - -# }}} End write vtu diff --git a/examples/table_urls.json b/examples/table_urls.json new file mode 100644 index 0000000000000000000000000000000000000000..6c794a7cc3fa3f705dbe8adf71a7b5237f5d4ba3 --- /dev/null +++ b/examples/table_urls.json @@ -0,0 +1,4 @@ +{ + "Laplace2D": "https://github.com/xywei/volumential-tables/releases/download/0.0.1a/nft_laplace2d.hdf5", + "Laplace3D": "https://github.com/xywei/volumential-tables/releases/download/0.0.1/nft_laplace3d.hdf5" +} diff --git a/examples/volume_potential_2d.py b/examples/volume_potential_2d.py index 143d03b08a6962b24a4bafafd3aa7eb7dfd01354..5eed2addfc66c2e1401fc89f70273b9ebb65d281 100644 --- a/examples/volume_potential_2d.py +++ b/examples/volume_potential_2d.py @@ -38,198 +38,222 @@ else: import numpy as np import pyopencl as cl -import boxtree as bt -import sumpy as sp -import volumential as vm from volumential.tools import ScalarFieldExpressionEvaluation as Eval import pymbolic as pmbl from functools import partial -print("*************************") -print("* Setting up...") -print("*************************") -dim = 2 +def main(): -table_filename = "nft_laplace2d.hdf5" -root_table_source_extent = 2 + print("*************************") + print("* Setting up...") + print("*************************") -print("Using table cache:", table_filename) + dim = 2 -q_order = 5 # quadrature order -n_levels = 9 # 2^(n_levels-1) subintervals in 1D + # download precomputation results for the 2D Laplace kernel + download_table = True + table_filename = "nft_laplace2d.hdf5" + root_table_source_extent = 2 -use_multilevel_table = False + print("Using table cache:", table_filename) -adaptive_mesh = False -n_refinement_loops = 100 -refined_n_cells = 2000 -rratio_top = 0.2 -rratio_bot = 0.5 + q_order = 9 # quadrature order + n_levels = 6 # 2^(n_levels-1) subintervals in 1D -dtype = np.float64 + use_multilevel_table = False -m_order = 20 # multipole order -force_direct_evaluation = False + adaptive_mesh = False + n_refinement_loops = 100 + refined_n_cells = 2000 + rratio_top = 0.2 + rratio_bot = 0.5 -print("Multipole order =", m_order) + dtype = np.float64 -alpha = 160 + m_order = 20 # multipole order + force_direct_evaluation = False -x = pmbl.var("x") -y = pmbl.var("y") -expp = pmbl.var("exp") + print("Multipole order =", m_order) -norm2 = x ** 2 + y ** 2 -source_expr = -(4 * alpha ** 2 * norm2 - 4 * alpha) * expp(-alpha * norm2) -solu_expr = expp(-alpha * norm2) + alpha = 160 -logger.info("Source expr: " + str(source_expr)) -logger.info("Solu expr: " + str(solu_expr)) + x = pmbl.var("x") + y = pmbl.var("y") + expp = pmbl.var("exp") -# bounding box -a = -0.5 -b = 0.5 -root_table_source_extent = 2 + norm2 = x ** 2 + y ** 2 + source_expr = -(4 * alpha ** 2 * norm2 - 4 * alpha) * expp(-alpha * norm2) + solu_expr = expp(-alpha * norm2) -ctx = cl.create_some_context() -queue = cl.CommandQueue(ctx) + logger.info("Source expr: " + str(source_expr)) + logger.info("Solu expr: " + str(solu_expr)) -source_eval = Eval(dim, source_expr, [x, y]) + # bounding box + a = -0.5 + b = 0.5 + root_table_source_extent = 2 -# {{{ generate quad points + ctx = cl.create_some_context() + queue = cl.CommandQueue(ctx) -import volumential.meshgen as mg + source_eval = Eval(dim, source_expr, [x, y]) -# Show meshgen info -mg.greet() + # {{{ generate quad points -mesh = mg.MeshGen2D(q_order, n_levels, a, b) -if not adaptive_mesh: - mesh.print_info() - q_points = mesh.get_q_points() - q_weights = mesh.get_q_weights() - q_radii = None + import volumential.meshgen as mg -else: - iloop = -1 - while mesh.n_active_cells() < refined_n_cells: - iloop += 1 - crtr = np.array( - [ - np.abs(source_field(c) * m) - for (c, m) in zip(mesh.get_cell_centers(), mesh.get_cell_measures()) - ] - ) - mesh.update_mesh(crtr, rratio_top, rratio_bot) - if iloop > n_refinement_loops: - print("Max number of refinement loops reached.") - break - - mesh.print_info() - q_points = mesh.get_q_points() - q_weights = mesh.get_q_weights() - q_radii = None - -assert len(q_points) == len(q_weights) -assert q_points.shape[1] == dim + # Show meshgen info + mg.greet() -q_points_org = q_points -q_points = np.ascontiguousarray(np.transpose(q_points)) + mesh = mg.MeshGen2D(q_order, n_levels, a, b, queue=queue) + if not adaptive_mesh: + mesh.print_info() + q_points = mesh.get_q_points() + q_weights = mesh.get_q_weights() -from pytools.obj_array import make_obj_array + else: + iloop = -1 + while mesh.n_active_cells() < refined_n_cells: + iloop += 1 + crtr = np.abs( + source_eval(mesh.get_cell_centers) + * mesh.get_cell_measures) + mesh.update_mesh(crtr, rratio_top, rratio_bot) + if iloop > n_refinement_loops: + print("Max number of refinement loops reached.") + break -q_points = make_obj_array([cl.array.to_device(queue, q_points[i]) for i in range(dim)]) + mesh.print_info() + q_points = mesh.get_q_points() + q_weights = mesh.get_q_weights() -q_weights = cl.array.to_device(queue, q_weights) -# q_radii = cl.array.to_device(queue, q_radii) + assert len(q_points) == len(q_weights) + assert q_points.shape[1] == dim -# }}} + q_points = np.ascontiguousarray(np.transpose(q_points)) -# {{{ discretize the source field + from pytools.obj_array import make_obj_array -source_vals = cl.array.to_device( - queue, source_eval(queue, np.array([coords.get() for coords in q_points])) -) + q_points = make_obj_array( + [cl.array.to_device(queue, q_points[i]) for i in range(dim)]) -# particle_weigt = source_val * q_weight + q_weights = cl.array.to_device(queue, q_weights) + # q_radii = cl.array.to_device(queue, q_radii) -# }}} End discretize the source field + # }}} -# {{{ build tree and traversals + # {{{ discretize the source field -from boxtree.tools import AXIS_NAMES - -axis_names = AXIS_NAMES[:dim] - -from pytools import single_valued - -coord_dtype = single_valued(coord.dtype for coord in q_points) -from boxtree.bounding_box import make_bounding_box_dtype - -bbox_type, _ = make_bounding_box_dtype(ctx.devices[0], dim, coord_dtype) -bbox = np.empty(1, bbox_type) -for ax in axis_names: - bbox["min_" + ax] = a - bbox["max_" + ax] = b + source_vals = cl.array.to_device( + queue, source_eval(queue, np.array([coords.get() for coords in q_points])) + ) + # particle_weigt = source_val * q_weight -# tune max_particles_in_box to reconstruct the mesh -# TODO: use points from FieldPlotter are used as target points for better -# visuals -from boxtree import TreeBuilder + # }}} End discretize the source field -tb = TreeBuilder(ctx) -tree, _ = tb( - queue, - particles=q_points, - targets=q_points, - bbox=bbox, - max_particles_in_box=q_order ** 2 * 4 - 1, - kind="adaptive-level-restricted", -) + # {{{ build tree and traversals -bbox2 = np.array([[a, b], [a, b]]) -tree2, _ = tb( - queue, - particles=q_points, - targets=q_points, - bbox=bbox2, - max_particles_in_box=q_order ** 2 * 4 - 1, - kind="adaptive-level-restricted", -) + from boxtree.tools import AXIS_NAMES -from boxtree.traversal import FMMTraversalBuilder + axis_names = AXIS_NAMES[:dim] -tg = FMMTraversalBuilder(ctx) -trav, _ = tg(queue, tree) + from pytools import single_valued -# }}} End build tree and traversals + coord_dtype = single_valued(coord.dtype for coord in q_points) + from boxtree.bounding_box import make_bounding_box_dtype -# {{{ build near field potential table + bbox_type, _ = make_bounding_box_dtype(ctx.devices[0], dim, coord_dtype) + bbox = np.empty(1, bbox_type) + for ax in axis_names: + bbox["min_" + ax] = a + bbox["max_" + ax] = b -from volumential.table_manager import NearFieldInteractionTableManager + # tune max_particles_in_box to reconstruct the mesh + # TODO: use points from FieldPlotter are used as target points for better + # visuals + from boxtree import TreeBuilder -tm = NearFieldInteractionTableManager( - table_filename, root_extent=root_table_source_extent -) + tb = TreeBuilder(ctx) + tree, _ = tb( + queue, + particles=q_points, + targets=q_points, + bbox=bbox, + max_particles_in_box=q_order ** 2 * 4 - 1, + kind="adaptive-level-restricted", + ) -if use_multilevel_table: - assert ( - abs( - int((b - a) / root_table_source_extent) * root_table_source_extent - (b - a) - ) - < 1e-15 + bbox2 = np.array([[a, b], [a, b]]) + tree2, _ = tb( + queue, + particles=q_points, + targets=q_points, + bbox=bbox2, + max_particles_in_box=q_order ** 2 * 4 - 1, + kind="adaptive-level-restricted", ) - nftable = [] - for l in range(0, tree.nlevels + 1): - print("Getting table at level", l) - tb, _ = tm.get_table( + + from boxtree.traversal import FMMTraversalBuilder + + tg = FMMTraversalBuilder(ctx) + trav, _ = tg(queue, tree) + + # }}} End build tree and traversals + + # {{{ build near field potential table + + from volumential.table_manager import NearFieldInteractionTableManager + import os + + if download_table and (not os.path.isfile(table_filename)): + import json + with open("table_urls.json", 'r') as fp: + urls = json.load(fp) + + print("Downloading table from %s" % urls['Laplace2D']) + import subprocess + subprocess.call(["wget", "-q", urls['Laplace2D'], table_filename]) + + tm = NearFieldInteractionTableManager( + table_filename, root_extent=root_table_source_extent, + queue=queue) + + if use_multilevel_table: + assert ( + abs( + int((b - a) + / root_table_source_extent) * root_table_source_extent + - (b - a)) + < 1e-15) + nftable = [] + for l in range(0, tree.nlevels + 1): + print("Getting table at level", l) + tb, _ = tm.get_table( + dim, + "Laplace", + q_order, + source_box_level=l, + compute_method="DrosteSum", + queue=queue, + n_brick_quad_poitns=100, + adaptive_level=False, + use_symmetry=True, + alpha=0.1, + nlevels=15, + ) + nftable.append(tb) + + print("Using table list of length", len(nftable)) + + else: + nftable, _ = tm.get_table( dim, "Laplace", q_order, - source_box_level=l, + force_recompute=False, compute_method="DrosteSum", queue=queue, n_brick_quad_poitns=100, @@ -238,234 +262,218 @@ if use_multilevel_table: alpha=0.1, nlevels=15, ) - nftable.append(tb) - print("Using table list of length", len(nftable)) + # }}} End build near field potential table -else: - nftable, _ = tm.get_table( - dim, - "Laplace", - q_order, - force_recompute=False, - compute_method="DrosteSum", - queue=queue, - n_brick_quad_poitns=100, - adaptive_level=False, - use_symmetry=True, - alpha=0.1, - nlevels=15, - ) + # {{{ sumpy expansion for laplace kernel -# }}} End build near field potential table + from sumpy.expansion import DefaultExpansionFactory + from sumpy.kernel import LaplaceKernel -# {{{ sumpy expansion for laplace kernel + knl = LaplaceKernel(dim) + out_kernels = [knl] -from sumpy.expansion import DefaultExpansionFactory -from sumpy.kernel import LaplaceKernel + expn_factory = DefaultExpansionFactory() + local_expn_class = expn_factory.get_local_expansion_class(knl) + mpole_expn_class = expn_factory.get_multipole_expansion_class(knl) -knl = LaplaceKernel(dim) -out_kernels = [knl] + exclude_self = True -expn_factory = DefaultExpansionFactory() -local_expn_class = expn_factory.get_local_expansion_class(knl) -mpole_expn_class = expn_factory.get_multipole_expansion_class(knl) + from volumential.expansion_wrangler_fpnd import ( + FPNDExpansionWranglerCodeContainer, + FPNDExpansionWrangler + ) -exclude_self = True + wcc = FPNDExpansionWranglerCodeContainer( + ctx, + partial(mpole_expn_class, knl), + partial(local_expn_class, knl), + out_kernels, + exclude_self=exclude_self, + ) -from volumential.expansion_wrangler_fpnd import ( - FPNDExpansionWranglerCodeContainer, - FPNDExpansionWrangler - ) + if exclude_self: + target_to_source = np.arange(tree.ntargets, dtype=np.int32) + self_extra_kwargs = {"target_to_source": target_to_source} + else: + self_extra_kwargs = {} -wcc = FPNDExpansionWranglerCodeContainer( - ctx, - partial(mpole_expn_class, knl), - partial(local_expn_class, knl), - out_kernels, - exclude_self=exclude_self, -) - -if exclude_self: - target_to_source = np.arange(tree.ntargets, dtype=np.int32) - self_extra_kwargs = {"target_to_source": target_to_source} -else: - self_extra_kwargs = {} - -wrangler = FPNDExpansionWrangler( - code_container=wcc, - queue=queue, - tree=tree, - near_field_table=nftable, - dtype=dtype, - fmm_level_to_order=lambda kernel, kernel_args, tree, lev: m_order, - quad_order=q_order, - self_extra_kwargs=self_extra_kwargs, -) + wrangler = FPNDExpansionWrangler( + code_container=wcc, + queue=queue, + tree=tree, + near_field_table=nftable, + dtype=dtype, + fmm_level_to_order=lambda kernel, kernel_args, tree, lev: m_order, + quad_order=q_order, + self_extra_kwargs=self_extra_kwargs, + ) -# }}} End sumpy expansion for laplace kernel + # }}} End sumpy expansion for laplace kernel -print("*************************") -print("* Performing FMM ...") -print("*************************") + print("*************************") + print("* Performing FMM ...") + print("*************************") -# {{{ conduct fmm computation + # {{{ conduct fmm computation -from volumential.volume_fmm import drive_volume_fmm + from volumential.volume_fmm import drive_volume_fmm -import time -queue.finish() + import time + queue.finish() -t0 = time.clock() + t0 = time.clock() -pot, = drive_volume_fmm( - trav, - wrangler, - source_vals * q_weights, - source_vals, - direct_evaluation=force_direct_evaluation, -) -queue.finish() + pot, = drive_volume_fmm( + trav, + wrangler, + source_vals * q_weights, + source_vals, + direct_evaluation=force_direct_evaluation, + ) + queue.finish() -t1 = time.clock() + t1 = time.clock() -print("Finished in %.2f seconds." % (t1 - t0)) -print("(%e points per second)" % ( - len(q_weights) / (t1 - t0) - )) + print("Finished in %.2f seconds." % (t1 - t0)) + print("(%e points per second)" % ( + len(q_weights) / (t1 - t0) + )) -# }}} End conduct fmm computation + # }}} End conduct fmm computation -print("*************************") -print("* Postprocessing ...") -print("*************************") + print("*************************") + print("* Postprocessing ...") + print("*************************") -# {{{ postprocess and plot + # {{{ postprocess and plot -# print(pot) + # print(pot) -solu_eval = Eval(dim, solu_expr, [x, y]) + solu_eval = Eval(dim, solu_expr, [x, y]) -x = q_points[0].get() -y = q_points[1].get() -ze = solu_eval(queue, np.array([x, y])) -zs = pot.get() + x = q_points[0].get() + y = q_points[1].get() + ze = solu_eval(queue, np.array([x, y])) + zs = pot.get() -print_error = True -if print_error: - err = np.max(np.abs(ze - zs)) - print("Error =", err) + print_error = True + if print_error: + err = np.max(np.abs(ze - zs)) + print("Error =", err) + + # Interpolated surface + if 0: + h = 0.005 + out_x = np.arange(a, b + h, h) + out_y = np.arange(a, b + h, h) + oxx, oyy = np.meshgrid(out_x, out_y) + out_targets = make_obj_array( + [ + cl.array.to_device(queue, oxx.flatten()), + cl.array.to_device(queue, oyy.flatten()), + ] + ) -# Interpolated surface -if 0: - h = 0.005 - out_x = np.arange(a, b + h, h) - out_y = np.arange(a, b + h, h) - oxx, oyy = np.meshgrid(out_x, out_y) - out_targets = make_obj_array( - [ - cl.array.to_device(queue, oxx.flatten()), - cl.array.to_device(queue, oyy.flatten()), - ] - ) + from volumential.volume_fmm import interpolate_volume_potential - from volumential.volume_fmm import interpolate_volume_potential + # src = source_field([q.get() for q in q_points]) + # src = cl.array.to_device(queue, src) + interp_pot = interpolate_volume_potential(out_targets, trav, wrangler, pot) + opot = interp_pot.get() - # src = source_field([q.get() for q in q_points]) - # src = cl.array.to_device(queue, src) - interp_pot = interpolate_volume_potential(out_targets, trav, wrangler, pot) - opot = interp_pot.get() + import matplotlib.pyplot as plt + from mpl_toolkits.mplot3d import Axes3D - import matplotlib.pyplot as plt - from mpl_toolkits.mplot3d import Axes3D + plt3d = plt.figure() + ax = Axes3D(plt3d) # noqa + surf = ax.plot_surface(oxx, oyy, opot.reshape(oxx.shape)) # noqa + # ax.scatter(x, y, src.get()) + # ax.set_zlim(-0.25, 0.25) - plt3d = plt.figure() - ax = Axes3D(plt3d) - surf = ax.plot_surface(oxx, oyy, opot.reshape(oxx.shape)) - # ax.scatter(x, y, src.get()) - # ax.set_zlim(-0.25, 0.25) + plt.draw() + plt.show() - plt.draw() - plt.show() + # Boxtree + if 0: + import matplotlib.pyplot as plt -# Boxtree -if 0: - import matplotlib.pyplot as plt + if dim == 2: + # plt.plot(q_points[0].get(), q_points[1].get(), ".") + pass - if dim == 2: - # plt.plot(q_points[0].get(), q_points[1].get(), ".") - pass + from boxtree.visualization import TreePlotter - from boxtree.visualization import TreePlotter + plotter = TreePlotter(tree.get(queue=queue)) + plotter.draw_tree(fill=False, edgecolor="black") + # plotter.draw_box_numbers() + plotter.set_bounding_box() + plt.gca().set_aspect("equal") - plotter = TreePlotter(tree.get(queue=queue)) - plotter.draw_tree(fill=False, edgecolor="black") - # plotter.draw_box_numbers() - plotter.set_bounding_box() - plt.gca().set_aspect("equal") + plt.draw() + # plt.show() + plt.savefig("tree.png") - plt.draw() - # plt.show() - plt.savefig("tree.png") + # Direct p2p + if 0: + print("Performing P2P") + pot_direct, = drive_volume_fmm( + trav, wrangler, source_vals * q_weights, + source_vals, direct_evaluation=True) + zds = pot_direct.get() + zs = pot.get() + print("P2P-FMM diff =", np.max(np.abs(zs - zds))) -# Direct p2p -if 0: - print("Performing P2P") - pot_direct, = drive_volume_fmm( - trav, wrangler, source_vals * q_weights, source_vals, direct_evaluation=True - ) - zds = pot_direct.get() - zs = pot.get() + print("P2P Error =", np.max(np.abs(ze - zds))) - print("P2P-FMM diff =", np.max(np.abs(zs - zds))) + """ + import matplotlib.pyplot as plt + import matplotlib.cm as cm + x = q_points[0].get() + y = q_points[1].get() + plt.scatter(x, y, c=np.log(abs(zs-zds)) / np.log(10), cmap=cm.jet) + plt.colorbar() - print("P2P Error =", np.max(np.abs(ze - zds))) + plt.xlabel("Multipole order = " + str(m_order)) - """ - import matplotlib.pyplot as plt - import matplotlib.cm as cm - x = q_points[0].get() - y = q_points[1].get() - plt.scatter(x, y, c=np.log(abs(zs-zds)) / np.log(10), cmap=cm.jet) - plt.colorbar() + plt.draw() + plt.show() + """ - plt.xlabel("Multipole order = " + str(m_order)) + # Scatter plot + if 0: + import matplotlib.pyplot as plt + from mpl_toolkits.mplot3d import Axes3D - plt.draw() - plt.show() - """ + x = q_points[0].get() + y = q_points[1].get() + ze = solu_eval(queue, np.array([x, y])) + zs = pot.get() -# Scatter plot -if 0: - import matplotlib.pyplot as plt - from mpl_toolkits.mplot3d import Axes3D + plt3d = plt.figure() + ax = Axes3D(plt3d) + ax.scatter(x, y, zs, s=1) + # ax.scatter(x, y, source_field([q.get() for q in q_points]), s=1) + # import matplotlib.cm as cm - n = 2 ** (n_levels - 1) * q_order + # ax.scatter(x, y, zs, c=np.log(abs(zs-zds)), cmap=cm.jet) + # plt.gca().set_aspect("equal") - x = q_points[0].get() - y = q_points[1].get() - ze = solu_eval(queue, np.array([x, y])) - zs = pot.get() + # ax.set_xlim3d([-1, 1]) + # ax.set_ylim3d([-1, 1]) + # ax.set_zlim3d([np.min(z), np.max(z)]) + # ax.set_zlim3d([-0.002, 0.00]) - plt3d = plt.figure() - ax = Axes3D(plt3d) - ax.scatter(x, y, zs, s=1) - # ax.scatter(x, y, source_field([q.get() for q in q_points]), s=1) - import matplotlib.cm as cm + plt.draw() + plt.show() + # plt.savefig("exact.png") - # ax.scatter(x, y, zs, c=np.log(abs(zs-zds)), cmap=cm.jet) - # plt.gca().set_aspect("equal") + # }}} End postprocess and plot - # ax.set_xlim3d([-1, 1]) - # ax.set_ylim3d([-1, 1]) - # ax.set_zlim3d([np.min(z), np.max(z)]) - # ax.set_zlim3d([-0.002, 0.00]) - plt.draw() - plt.show() - # plt.savefig("exact.png") +if __name__ == '__main__': + main() -# }}} End postprocess and plot # vim: filetype=pyopencl:foldmethod=marker diff --git a/examples/volume_potential_3d.py b/examples/volume_potential_3d.py index 1137576f6b2241287d5bf304f7884121c55aecc4..2997e85b7cbe6fb323f85ff67d25c528f2badb32 100644 --- a/examples/volume_potential_3d.py +++ b/examples/volume_potential_3d.py @@ -29,9 +29,6 @@ import logging import numpy as np import pyopencl as cl -import boxtree as bt -import sumpy as sp -import volumential as vm import pymbolic as pmbl import pymbolic.functions @@ -47,193 +44,230 @@ else: logging.basicConfig(level=logging.CRITICAL) -print("*************************") -print("* Setting up...") -print("*************************") - -dim = 3 -table_filename = "nft_laplace3dtmp.hdf5" - -logger.info("Using table cache: " + table_filename) - -q_order = 5 # quadrature order -n_levels = 7 # 2^(n_levels-1) subintervals in 1D, must be at least 2 if not adaptive -use_multilevel_table = False - -adaptive_mesh = False -n_refinement_loops = 100 -refined_n_cells = 5e5 -rratio_top = 0.2 -rratio_bot = 0.5 - -dtype = np.float64 - -m_order = 15 # multipole order -force_direct_evaluation = False - -logger.info("Multipole order = " + str(m_order)) -logger.info("Quad order = " + str(q_order)) -logger.info("N_levels = " + str(n_levels)) - -# a solution that is nearly zero at the boundary -# exp(-40) = 4.25e-18 -alpha = 80 -x = pmbl.var("x") -y = pmbl.var("y") -z = pmbl.var("z") -expp = pmbl.var("exp") - -norm2 = x ** 2 + y ** 2 + z ** 2 -source_expr = -(4 * alpha ** 2 * norm2 - 6 * alpha) * expp(-alpha * norm2) -solu_expr = expp(-alpha * norm2) - -logger.info("Source expr: " + str(source_expr)) -logger.info("Solu expr: " + str(solu_expr)) - -# bounding box -a = -0.5 -b = 0.5 -root_table_source_extent = 2 - -ctx = cl.create_some_context() -queue = cl.CommandQueue(ctx) - -# logger.info("Summary of params: " + get_param_summary()) -source_eval = Eval(dim, source_expr, [x, y, z]) - -# {{{ generate quad points - -import volumential.meshgen as mg - -# Show meshgen info -mg.greet() - -mesh = mg.MeshGen3D(q_order, n_levels, a, b) -if not adaptive_mesh: - mesh.print_info() - q_points = mesh.get_q_points() - q_weights = mesh.get_q_weights() - q_radii = None -else: - iloop = -1 - while mesh.n_active_cells() < refined_n_cells: - iloop += 1 - cell_centers = mesh.get_cell_centers() - cell_measures = mesh.get_cell_measures() - density_vals = source_eval( - queue, - np.array([[center[d] for center in cell_centers] for d in range(dim)]), - ) - crtr = np.abs(cell_measures * density_vals) - mesh.update_mesh(crtr, rratio_top, rratio_bot) - if iloop > n_refinement_loops: - print("Max number of refinement loops reached.") - break - - mesh.print_info() - q_points = mesh.get_q_points() - q_weights = mesh.get_q_weights() - q_radii = None - -if 1: - mesh.generate_gmsh("box_grid.msh") - legacy_msh_file = True - if legacy_msh_file: - import os - - os.system("gmsh box_grid.msh convert_grid -") - -assert len(q_points) == len(q_weights) -assert q_points.shape[1] == dim - -q_points_org = q_points -q_points = np.ascontiguousarray(np.transpose(q_points)) - -from pytools.obj_array import make_obj_array - -q_points = make_obj_array([cl.array.to_device(queue, q_points[i]) for i in range(dim)]) - -q_weights = cl.array.to_device(queue, q_weights) -# q_radii = cl.array.to_device(queue, q_radii) +def main(): + + print("*************************") + print("* Setting up...") + print("*************************") + + dim = 3 + # download precomputation results for the 3D Laplace kernel + download_table = True + table_filename = "nft_laplace3d.hdf5" + + logger.info("Using table cache: " + table_filename) + + q_order = 7 # quadrature order + n_levels = 5 + use_multilevel_table = False + + adaptive_mesh = False + n_refinement_loops = 100 + refined_n_cells = 5e5 + rratio_top = 0.2 + rratio_bot = 0.5 + + dtype = np.float64 + + m_order = 10 # multipole order + force_direct_evaluation = False + + logger.info("Multipole order = " + str(m_order)) + logger.info("Quad order = " + str(q_order)) + logger.info("N_levels = " + str(n_levels)) + + # a solution that is nearly zero at the boundary + # exp(-40) = 4.25e-18 + alpha = 80 + x = pmbl.var("x") + y = pmbl.var("y") + z = pmbl.var("z") + expp = pmbl.var("exp") + + norm2 = x ** 2 + y ** 2 + z ** 2 + source_expr = -(4 * alpha ** 2 * norm2 - 6 * alpha) * expp(-alpha * norm2) + solu_expr = expp(-alpha * norm2) + + logger.info("Source expr: " + str(source_expr)) + logger.info("Solu expr: " + str(solu_expr)) + + # bounding box + a = -0.5 + b = 0.5 + root_table_source_extent = 2 + + ctx = cl.create_some_context() + queue = cl.CommandQueue(ctx) + + # logger.info("Summary of params: " + get_param_summary()) + source_eval = Eval(dim, source_expr, [x, y, z]) + + # {{{ generate quad points + + import volumential.meshgen as mg + + # Show meshgen info + mg.greet() + + mesh = mg.MeshGen3D(q_order, n_levels, a, b, queue=queue) + if not adaptive_mesh: + mesh.print_info() + q_points = mesh.get_q_points() + q_weights = mesh.get_q_weights() + else: + iloop = -1 + while mesh.n_active_cells() < refined_n_cells: + iloop += 1 + cell_centers = mesh.get_cell_centers() + cell_measures = mesh.get_cell_measures() + density_vals = source_eval( + queue, + np.array([[center[d] for center in cell_centers] + for d in range(dim)])) + crtr = np.abs(cell_measures * density_vals) + mesh.update_mesh(crtr, rratio_top, rratio_bot) + if iloop > n_refinement_loops: + print("Max number of refinement loops reached.") + break + + mesh.print_info() + q_points = mesh.get_q_points() + q_weights = mesh.get_q_weights() + + if 1: + try: + mesh.generate_gmsh("box_grid.msh") + except Exception as e: + print(e) + pass -# }}} + legacy_msh_file = True + if legacy_msh_file: + import os -# {{{ discretize the source field + os.system("gmsh box_grid.msh convert_grid -") -logger.info("discretizing source field") -source_vals = cl.array.to_device( - queue, source_eval(queue, np.array([coords.get() for coords in q_points])) -) + assert len(q_points) == len(q_weights) + assert q_points.shape[1] == dim -# particle_weigt = source_val * q_weight + q_points = np.ascontiguousarray(np.transpose(q_points)) -# }}} End discretize the source field + from pytools.obj_array import make_obj_array -# {{{ build tree and traversals + q_points = make_obj_array( + [cl.array.to_device(queue, q_points[i]) for i in range(dim)]) -from boxtree.tools import AXIS_NAMES + q_weights = cl.array.to_device(queue, q_weights) -axis_names = AXIS_NAMES[:dim] + # }}} -from pytools import single_valued + # {{{ discretize the source field -coord_dtype = single_valued(coord.dtype for coord in q_points) -from boxtree.bounding_box import make_bounding_box_dtype + logger.info("discretizing source field") + source_vals = cl.array.to_device( + queue, source_eval(queue, np.array([coords.get() for coords in q_points])) + ) -bbox_type, _ = make_bounding_box_dtype(ctx.devices[0], dim, coord_dtype) + # particle_weigt = source_val * q_weight -bbox = np.empty(1, bbox_type) -for ax in axis_names: - bbox["min_" + ax] = a - bbox["max_" + ax] = b + # }}} End discretize the source field -# tune max_particles_in_box to reconstruct the mesh -# TODO: use points from FieldPlotter are used as target points for better -# visuals -print("building tree") -from boxtree import TreeBuilder + # {{{ build tree and traversals -tb = TreeBuilder(ctx) -tree, _ = tb( - queue, - particles=q_points, - targets=q_points, - bbox=bbox, - max_particles_in_box=q_order ** 3 * 8 - 1, - kind="adaptive-level-restricted", -) + from boxtree.tools import AXIS_NAMES -from boxtree.traversal import FMMTraversalBuilder + axis_names = AXIS_NAMES[:dim] -tg = FMMTraversalBuilder(ctx) -trav, _ = tg(queue, tree) + from pytools import single_valued -# }}} End build tree and traversals + coord_dtype = single_valued(coord.dtype for coord in q_points) + from boxtree.bounding_box import make_bounding_box_dtype -# {{{ build near field potential table + bbox_type, _ = make_bounding_box_dtype(ctx.devices[0], dim, coord_dtype) -from volumential.table_manager import NearFieldInteractionTableManager + bbox = np.empty(1, bbox_type) + for ax in axis_names: + bbox["min_" + ax] = a + bbox["max_" + ax] = b -tm = NearFieldInteractionTableManager( - table_filename, root_extent=root_table_source_extent -) + # tune max_particles_in_box to reconstruct the mesh + # TODO: use points from FieldPlotter are used as target points for better + # visuals + print("building tree") + from boxtree import TreeBuilder -if use_multilevel_table: - logger.info("Using multilevel tables") - assert ( - abs( - int((b - a) / root_table_source_extent) * root_table_source_extent - (b - a) - ) - < 1e-15 + tb = TreeBuilder(ctx) + tree, _ = tb( + queue, + particles=q_points, + targets=q_points, + bbox=bbox, + max_particles_in_box=q_order ** 3 * 8 - 1, + kind="adaptive-level-restricted", ) - nftable = [] - for l in range(0, tree.nlevels + 1): - print("Getting table at level", l) - tb, _ = tm.get_table( + + from boxtree.traversal import FMMTraversalBuilder + + tg = FMMTraversalBuilder(ctx) + trav, _ = tg(queue, tree) + + # }}} End build tree and traversals + + # {{{ build near field potential table + + from volumential.table_manager import NearFieldInteractionTableManager + import os + + if download_table and (not os.path.isfile(table_filename)): + import json + with open("table_urls.json", 'r') as fp: + urls = json.load(fp) + + print("Downloading table from %s" % urls['Laplace3D']) + import subprocess + subprocess.call(["wget", "-q", urls['Laplace3D'], table_filename]) + + tm = NearFieldInteractionTableManager( + table_filename, root_extent=root_table_source_extent, + queue=queue) + + if use_multilevel_table: + logger.info("Using multilevel tables") + assert ( + abs( + int((b - a) + / root_table_source_extent) * root_table_source_extent + - (b - a)) + < 1e-15) + nftable = [] + for l in range(0, tree.nlevels + 1): + print("Getting table at level", l) + tb, _ = tm.get_table( + dim, + "Laplace", + q_order, + source_box_level=l, + compute_method="DrosteSum", + queue=queue, + n_brick_quad_points=120, + adaptive_level=False, + use_symmetry=True, + alpha=0, + n_levels=1, + ) + nftable.append(tb) + + print("Using table list of length", len(nftable)) + + else: + logger.info("Using single level table") + force_recompute = False + # 15 levels are sufficient (the inner most brick is 1e-15**3 in volume) + nftable, _ = tm.get_table( dim, "Laplace", q_order, - source_box_level=l, + force_recompute=force_recompute, compute_method="DrosteSum", queue=queue, n_brick_quad_points=120, @@ -242,241 +276,220 @@ if use_multilevel_table: alpha=0, n_levels=1, ) - nftable.append(tb) - - print("Using table list of length", len(nftable)) - -else: - logger.info("Using single level table") - force_recompute = False - # 15 levels are sufficient (the inner most brick is 1e-15**3 in volume) - nftable, _ = tm.get_table( - dim, - "Laplace", - q_order, - force_recompute=force_recompute, - compute_method="DrosteSum", - queue=queue, - n_brick_quad_points=120, - adaptive_level=False, - use_symmetry=True, - alpha=0, - n_levels=1, - ) - -# }}} End build near field potential table -# {{{ sumpy expansion for laplace kernel + # }}} End build near field potential table -from sumpy.expansion import DefaultExpansionFactory -from sumpy.kernel import LaplaceKernel + # {{{ sumpy expansion for laplace kernel -knl = LaplaceKernel(dim) -out_kernels = [knl] + from sumpy.expansion import DefaultExpansionFactory + from sumpy.kernel import LaplaceKernel -expn_factory = DefaultExpansionFactory() -local_expn_class = expn_factory.get_local_expansion_class(knl) -mpole_expn_class = expn_factory.get_multipole_expansion_class(knl) + knl = LaplaceKernel(dim) + out_kernels = [knl] -exclude_self = True -from volumential.expansion_wrangler_fpnd import ( - FPNDExpansionWrangler, - FPNDExpansionWranglerCodeContainer) + expn_factory = DefaultExpansionFactory() + local_expn_class = expn_factory.get_local_expansion_class(knl) + mpole_expn_class = expn_factory.get_multipole_expansion_class(knl) -wcc = FPNDExpansionWranglerCodeContainer( - ctx, - partial(mpole_expn_class, knl), - partial(local_expn_class, knl), - out_kernels, - exclude_self=exclude_self, -) - -if exclude_self: - target_to_source = np.arange(tree.ntargets, dtype=np.int32) - self_extra_kwargs = {"target_to_source": target_to_source} -else: - self_extra_kwargs = {} + exclude_self = True + from volumential.expansion_wrangler_fpnd import ( + FPNDExpansionWrangler, + FPNDExpansionWranglerCodeContainer) -wrangler = FPNDExpansionWrangler( - code_container=wcc, - queue=queue, - tree=tree, - near_field_table=nftable, - dtype=dtype, - fmm_level_to_order=lambda kernel, kernel_args, tree, lev: m_order, - quad_order=q_order, - self_extra_kwargs=self_extra_kwargs, -) - -# }}} End sumpy expansion for laplace kernel - -print("*************************") -print("* Performing FMM ...") -print("*************************") + wcc = FPNDExpansionWranglerCodeContainer( + ctx, + partial(mpole_expn_class, knl), + partial(local_expn_class, knl), + out_kernels, + exclude_self=exclude_self, + ) -# {{{ conduct fmm computation + if exclude_self: + target_to_source = np.arange(tree.ntargets, dtype=np.int32) + self_extra_kwargs = {"target_to_source": target_to_source} + else: + self_extra_kwargs = {} -from volumential.volume_fmm import drive_volume_fmm + wrangler = FPNDExpansionWrangler( + code_container=wcc, + queue=queue, + tree=tree, + near_field_table=nftable, + dtype=dtype, + fmm_level_to_order=lambda kernel, kernel_args, tree, lev: m_order, + quad_order=q_order, + self_extra_kwargs=self_extra_kwargs, + ) -import time -queue.finish() + # }}} End sumpy expansion for laplace kernel -t0 = time.clock() + print("*************************") + print("* Performing FMM ...") + print("*************************") -pot, = drive_volume_fmm( - trav, - wrangler, - source_vals * q_weights, - source_vals, - direct_evaluation=force_direct_evaluation, - list1_only=True -) + # {{{ conduct fmm computation -t1 = time.clock() + from volumential.volume_fmm import drive_volume_fmm -print("Finished in %.2f seconds." % (t1 - t0)) -print("(%e points per second)" % ( - len(q_weights) / (t1 - t0) - )) + import time + queue.finish() -# }}} End conduct fmm computation + t0 = time.clock() -print("*************************") -print("* Postprocessing ...") -print("*************************") + pot, = drive_volume_fmm( + trav, + wrangler, + source_vals * q_weights, + source_vals, + direct_evaluation=force_direct_evaluation, + list1_only=False) -# {{{ postprocess and plot + t1 = time.clock() -# print(pot) + print("Finished in %.2f seconds." % (t1 - t0)) + print("(%e points per second)" % ( + len(q_weights) / (t1 - t0) + )) + # }}} End conduct fmm computation -solu_eval = Eval(dim, solu_expr, [x, y, z]) -# x = q_points[0].get() -# y = q_points[1].get() -# z = q_points[2].get() -test_x = np.array([0.0]) -test_y = np.array([0.0]) -test_z = np.array([0.0]) -test_nodes = make_obj_array( - # get() first for CL compatibility issues - [ - cl.array.to_device(queue, test_x), - cl.array.to_device(queue, test_y), - cl.array.to_device(queue, test_z), - ] -) + print("*************************") + print("* Postprocessing ...") + print("*************************") -from volumential.volume_fmm import interpolate_volume_potential + # {{{ postprocess and plot -ze = solu_eval(queue, np.array([test_x, test_y, test_z])) -zs = interpolate_volume_potential(test_nodes, trav, wrangler, pot).get() + # print(pot) -print_error = True -if print_error: - err = np.max(np.abs(ze - zs)) - print("Error =", err) + solu_eval = Eval(dim, solu_expr, [x, y, z]) + # x = q_points[0].get() + # y = q_points[1].get() + # z = q_points[2].get() + test_x = np.array([0.0]) + test_y = np.array([0.0]) + test_z = np.array([0.0]) + test_nodes = make_obj_array( + # get() first for CL compatibility issues + [ + cl.array.to_device(queue, test_x), + cl.array.to_device(queue, test_y), + cl.array.to_device(queue, test_z), + ] + ) -# Boxtree -if 0: - import matplotlib.pyplot as plt + from volumential.volume_fmm import interpolate_volume_potential - if dim == 2: - plt.plot(q_points[0].get(), q_points[1].get(), ".") + ze = solu_eval(queue, np.array([test_x, test_y, test_z])) + zs = interpolate_volume_potential(test_nodes, trav, wrangler, pot).get() - from boxtree.visualization import TreePlotter + print_error = True + if print_error: + err = np.max(np.abs(ze - zs)) + print("Error =", err) - plotter = TreePlotter(tree.get(queue=queue)) - plotter.draw_tree(fill=False, edgecolor="black") - # plotter.draw_box_numbers() - plotter.set_bounding_box() - plt.gca().set_aspect("equal") + # Boxtree + if 0: + import matplotlib.pyplot as plt - plt.draw() - plt.show() - # plt.savefig("tree.png") + if dim == 2: + plt.plot(q_points[0].get(), q_points[1].get(), ".") + from boxtree.visualization import TreePlotter -# Direct p2p + plotter = TreePlotter(tree.get(queue=queue)) + plotter.draw_tree(fill=False, edgecolor="black") + # plotter.draw_box_numbers() + plotter.set_bounding_box() + plt.gca().set_aspect("equal") -if 0: - print("Performing P2P") - pot_direct, = drive_volume_fmm( - trav, wrangler, source_vals * q_weights, source_vals, direct_evaluation=True - ) - zds = pot_direct.get() - zs = pot.get() + plt.draw() + plt.show() + # plt.savefig("tree.png") - print("P2P-FMM diff =", np.max(np.abs(zs - zds))) + # Direct p2p - print("P2P Error =", np.max(np.abs(ze - zds))) + if 0: + print("Performing P2P") + pot_direct, = drive_volume_fmm( + trav, wrangler, source_vals * q_weights, + source_vals, direct_evaluation=True) + zds = pot_direct.get() + zs = pot.get() -# Write vtk -if 1: - from meshmode.mesh.io import read_gmsh + print("P2P-FMM diff =", np.max(np.abs(zs - zds))) - modemesh = read_gmsh("box_grid.msh", force_ambient_dim=None) - from meshmode.discretization.poly_element import ( - LegendreGaussLobattoTensorProductGroupFactory, - ) - from meshmode.discretization import Discretization + print("P2P Error =", np.max(np.abs(ze - zds))) - box_discr = Discretization( - ctx, modemesh, LegendreGaussLobattoTensorProductGroupFactory(q_order) - ) + # Write vtk + if 0: + from meshmode.mesh.io import read_gmsh - box_nodes_x = box_discr.nodes()[0].with_queue(queue).get() - box_nodes_y = box_discr.nodes()[1].with_queue(queue).get() - box_nodes_z = box_discr.nodes()[2].with_queue(queue).get() - box_nodes = make_obj_array( - # get() first for CL compatibility issues - [ - cl.array.to_device(queue, box_nodes_x), - cl.array.to_device(queue, box_nodes_y), - cl.array.to_device(queue, box_nodes_z), - ] - ) - - visual_order = 1 - from meshmode.discretization.visualization import make_visualizer - - vis = make_visualizer(queue, box_discr, visual_order) + modemesh = read_gmsh("box_grid.msh", force_ambient_dim=None) + from meshmode.discretization.poly_element import ( + LegendreGaussLobattoTensorProductGroupFactory, + ) + from meshmode.discretization import Discretization - from volumential.volume_fmm import interpolate_volume_potential + box_discr = Discretization( + ctx, modemesh, LegendreGaussLobattoTensorProductGroupFactory(q_order) + ) - volume_potential = interpolate_volume_potential(box_nodes, trav, wrangler, pot) - source_density = interpolate_volume_potential( - box_nodes, trav, wrangler, source_vals - ) + box_nodes_x = box_discr.nodes()[0].with_queue(queue).get() + box_nodes_y = box_discr.nodes()[1].with_queue(queue).get() + box_nodes_z = box_discr.nodes()[2].with_queue(queue).get() + box_nodes = make_obj_array( + # get() first for CL compatibility issues + [ + cl.array.to_device(queue, box_nodes_x), + cl.array.to_device(queue, box_nodes_y), + cl.array.to_device(queue, box_nodes_z), + ] + ) - # qx = q_points[0].get() - # qy = q_points[1].get() - # qz = q_points[2].get() - exact_solution = cl.array.to_device( - queue, solu_eval(queue, np.array([box_nodes_x, box_nodes_y, box_nodes_z])) - ) + visual_order = 1 + from meshmode.discretization.visualization import make_visualizer + + vis = make_visualizer(queue, box_discr, visual_order) + + from volumential.volume_fmm import interpolate_volume_potential + + volume_potential = interpolate_volume_potential( + box_nodes, trav, wrangler, pot) + + # qx = q_points[0].get() + # qy = q_points[1].get() + # qz = q_points[2].get() + exact_solution = cl.array.to_device( + queue, solu_eval(queue, + np.array([box_nodes_x, box_nodes_y, box_nodes_z]))) + + # clean up the mess + def clean_file(filename): + import os + + try: + os.remove(filename) + except OSError: + pass + + vtu_filename = "laplace3d.vtu" + clean_file(vtu_filename) + vis.write_vtk_file( + vtu_filename, + [ + ("VolPot", volume_potential), + # ("SrcDensity", source_density), + ("ExactSol", exact_solution), + ("Error", volume_potential - exact_solution), + ], + ) + print("Written file " + vtu_filename) - # clean up the mess - def clean_file(filename): - import os + # }}} End postprocess and plot - try: - os.remove(filename) - except OSError: - pass - vtu_filename = "laplace3d.vtu" - clean_file(vtu_filename) - vis.write_vtk_file( - vtu_filename, - [ - ("VolPot", volume_potential), - # ("SrcDensity", source_density), - ("ExactSol", exact_solution), - ("Error", volume_potential - exact_solution), - ], - ) - print("Written file " + vtu_filename) +if __name__ == '__main__': + main() -# }}} End postprocess and plot # vim: filetype=python.pyopencl:foldmethod=marker diff --git a/setup.py b/setup.py index 49d6afb0b269332ed7ae10d12456bda8866d12d3..9ddef859bfb64821a1a90af4c4a8b0fdb067eb59 100644 --- a/setup.py +++ b/setup.py @@ -1,4 +1,5 @@ #!/usr/bin/env python +# -*- encoding: utf-8 -*- __copyright__ = "Copyright (C) 2017 Xiaoyu Wei" @@ -22,15 +23,66 @@ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. """ -from setuptools import setup, find_packages +import os +from setuptools import find_packages, setup -def main(): - from setuptools import setup +# {{{ capture git revision at install time + +# authoritative version in pytools/__init__.py +def find_git_revision(tree_root): + # Keep this routine self-contained so that it can be copy-pasted into + # setup.py. + + from os.path import join, exists, abspath + tree_root = abspath(tree_root) + + if not exists(join(tree_root, ".git")): + return None + + from subprocess import Popen, PIPE, STDOUT + p = Popen(["git", "rev-parse", "HEAD"], shell=False, + stdin=PIPE, stdout=PIPE, stderr=STDOUT, close_fds=True, + cwd=tree_root) + (git_rev, _) = p.communicate() + + import sys + if sys.version_info >= (3,): + git_rev = git_rev.decode() + + git_rev = git_rev.rstrip() + + retcode = p.returncode + assert retcode is not None + if retcode != 0: + from warnings import warn + warn("unable to find git revision") + return None + + return git_rev + +def write_git_revision(package_name): + from os.path import dirname, join + dn = dirname(__file__) + git_rev = find_git_revision(dn) + + with open(join(dn, package_name, "_git_rev.py"), "w") as outf: + outf.write("GIT_REVISION = %s\n" % repr(git_rev)) + + +# }}} + + +def main(): version_dict = {} init_filename = "volumential/version.py" - exec(compile(open(init_filename, "r").read(), init_filename, "exec"), version_dict) + os.environ["AKPYTHON_EXEC_FROM_WITHIN_WITHIN_SETUP_PY"] = "1" + exec(compile( + open(init_filename, "r").read(), init_filename, "exec"), + version_dict) + + write_git_revision("volumential") setup( name="volumential", @@ -69,9 +121,8 @@ def main(): "sumpy", ], extras_require={ - "transform_based_table_builder": ["multiprocess"], "gmsh_support": ["gmsh_interop"], - "test": ["multiprocess", "pytest", "gmsh_interop"], + "test": ["pytest", "gmsh_interop"], "doc": ["sphinx", "sphinx_rtd_theme"], }, include_package_data=True, diff --git a/test/conftest.py b/test/conftest.py index 097278e65f4cb40d219db3103d68f1c4acf3f865..006a4203531709aaa0e788c7bc18b4af211fc3f0 100644 --- a/test/conftest.py +++ b/test/conftest.py @@ -1,3 +1,5 @@ +from __future__ import absolute_import, division, print_function + __copyright__ = "Copyright (C) 2018 Xiaoyu Wei" __license__ = """ @@ -22,7 +24,7 @@ THE SOFTWARE. import pytest # noqa: F401 -# setup ctx_getter fixture +# setup the ctx_factory fixture from pyopencl.tools import ( # NOQA pytest_generate_tests_for_pyopencl as pytest_generate_tests, ) @@ -50,3 +52,22 @@ def requires_pypvfmm(request): import pypvfmm # noqa: F401 except ImportError: pytest.skip("needs pypvfmm to run") + + +def pytest_sessionstart(session): + from volumential.table_manager import NearFieldInteractionTableManager + + # clean the table file, in case there was an aborted previous test run + import subprocess + subprocess.call(['rm', '-f', '/tmp/volumential-tests.hdf5']) + + # pre-compute a basic table that is re-used in many tests. + with NearFieldInteractionTableManager("/tmp/volumential-tests.hdf5") as tm: + table, _ = tm.get_table(2, "Laplace", + q_order=1, force_recompute=False, queue=None) + + +def pytest_sessionfinish(session, exitstatus): + # remove table caches + import subprocess + subprocess.call(['rm', '-f', '/tmp/volumential-tests.hdf5']) diff --git a/test/test_cahn_hilliard.py b/test/test_cahn_hilliard.py index 33cdd5d31051de843a4cfe23954a2d3f7cbad34e..5a6dd9e2f16b09ab405f9e0a57b860282b68fa2e 100644 --- a/test/test_cahn_hilliard.py +++ b/test/test_cahn_hilliard.py @@ -1,3 +1,5 @@ +from __future__ import absolute_import, division, print_function + __copyright__ = "Copyright (C) 2017 Xiaoyu Wei" __license__ = """ diff --git a/test/test_droste.py b/test/test_droste.py index 81be4e23339ad2565d61aded23af992ee5d18b14..1363db5938804a9b300f0a3f3cfb5c596d2f5c5c 100644 --- a/test/test_droste.py +++ b/test/test_droste.py @@ -1,3 +1,5 @@ +from __future__ import absolute_import, division, print_function + __copyright__ = "Copyright (C) 2019 Xiaoyu Wei" __license__ = """ @@ -65,8 +67,8 @@ def drive_test_cheb_poly(queue, deg, nnodes): assert np.allclose(cheb_vals_lp[m], cheb_vals_np) -def test_cheb_poly(ctx_getter): - cl_ctx = ctx_getter() +def test_cheb_poly(ctx_factory): + cl_ctx = ctx_factory() queue = cl.CommandQueue(cl_ctx) nnodes = 100 drive_test_cheb_poly(queue, 5, nnodes) @@ -133,13 +135,13 @@ def drive_test_cheb_table( assert err < 1e-12 -def drive_test_cheb_tables_laplace3d(requires_pypvfmm, ctx_getter, q_order): +def drive_test_cheb_tables_laplace3d(requires_pypvfmm, ctx_factory, q_order): """Test Chebyshev table vs PvFMM's computation for box-self interactions. """ from sumpy.kernel import LaplaceKernel - cl_ctx = ctx_getter() + cl_ctx = ctx_factory() queue = cl.CommandQueue(cl_ctx) kernel = LaplaceKernel(3) @@ -151,11 +153,11 @@ def drive_test_cheb_tables_laplace3d(requires_pypvfmm, ctx_getter, q_order): def drive_test_cheb_tables_grad_laplace3d( - requires_pypvfmm, ctx_getter, q_order, axis): + requires_pypvfmm, ctx_factory, q_order, axis): from sumpy.kernel import LaplaceKernel, AxisTargetDerivative from volumential.list1_symmetry import Flip, Swap - cl_ctx = ctx_getter() + cl_ctx = ctx_factory() queue = cl.CommandQueue(cl_ctx) kernel = AxisTargetDerivative(axis, LaplaceKernel(3)) @@ -173,29 +175,29 @@ def drive_test_cheb_tables_grad_laplace3d( @pytest.mark.parametrize("q_order", [1, 2]) -def test_cheb_tables_laplace3d_quick(requires_pypvfmm, ctx_getter, q_order): - drive_test_cheb_tables_laplace3d(requires_pypvfmm, ctx_getter, q_order) +def test_cheb_tables_laplace3d_quick(requires_pypvfmm, ctx_factory, q_order): + drive_test_cheb_tables_laplace3d(requires_pypvfmm, ctx_factory, q_order) @pytest.mark.parametrize("q_order", [1, 2]) @pytest.mark.parametrize("axis", [0, 1, 2]) def test_cheb_tables_grad_laplace3d_quick( - requires_pypvfmm, ctx_getter, q_order, axis): + requires_pypvfmm, ctx_factory, q_order, axis): drive_test_cheb_tables_grad_laplace3d( - requires_pypvfmm, ctx_getter, q_order, axis) + requires_pypvfmm, ctx_factory, q_order, axis) @pytest.mark.parametrize("q_order", [3, 4, 5, 6]) -def test_cheb_tables_laplace3d_slow(longrun, requires_pypvfmm, ctx_getter, q_order): - drive_test_cheb_tables_laplace3d(requires_pypvfmm, ctx_getter, q_order) +def test_cheb_tables_laplace3d_slow(longrun, requires_pypvfmm, ctx_factory, q_order): + drive_test_cheb_tables_laplace3d(requires_pypvfmm, ctx_factory, q_order) @pytest.mark.parametrize("q_order", [3, 4, 5, 6]) @pytest.mark.parametrize("axis", [0, 1, 2]) def test_cheb_tables_grad_laplace3d_slow( - longrun, requires_pypvfmm, ctx_getter, q_order, axis): + longrun, requires_pypvfmm, ctx_factory, q_order, axis): drive_test_cheb_tables_grad_laplace3d( - requires_pypvfmm, ctx_getter, q_order, axis) + requires_pypvfmm, ctx_factory, q_order, axis) if __name__ == "__main__": diff --git a/test/test_expansion_wrangler_interface.py b/test/test_expansion_wrangler_interface.py index 79768cd0d00d5835f04342601555b8317e35c25f..11ade594bf059556fcfc4c163cca5a5453b35c45 100644 --- a/test/test_expansion_wrangler_interface.py +++ b/test/test_expansion_wrangler_interface.py @@ -1,3 +1,5 @@ +from __future__ import absolute_import, division, print_function + __copyright__ = "Copyright (C) 2017 - 2018 Xiaoyu Wei" __license__ = """ diff --git a/test/test_function_extension.py b/test/test_function_extension.py index 0c84926b17d1ab60c71f287d50d07060dfc5326f..90e91d02042a7928ff6ac6bc18f9f82a8545c017 100644 --- a/test/test_function_extension.py +++ b/test/test_function_extension.py @@ -1,3 +1,5 @@ +from __future__ import absolute_import, division, print_function + __copyright__ = "Copyright (C) 2019 Xiaoyu Wei" __license__ = """ @@ -36,7 +38,7 @@ from pytential import bind, sym, norm # noqa from pytential.target import PointsTarget -def test_harmonic_extension_exterior_3d(ctx_getter): +def test_harmonic_extension_exterior_3d(ctx_factory): dim = 3 # noqa: F841 mesh_order = 8 @@ -45,7 +47,7 @@ def test_harmonic_extension_exterior_3d(ctx_getter): bdry_ovsmp_quad_order = 4 * bdry_quad_order qbx_order = mesh_order - cl_ctx = ctx_getter() + cl_ctx = ctx_factory() queue = cl.CommandQueue(cl_ctx) from meshmode.mesh.generation import generate_icosphere diff --git a/test/test_laplace.py b/test/test_laplace.py index e6bf9ef6efb30d918d9454d90c495c0ed3b2242a..b19f676ccceb92a1432a55c50df8ab6e3dfe9f44 100644 --- a/test/test_laplace.py +++ b/test/test_laplace.py @@ -1,3 +1,5 @@ +from __future__ import absolute_import, division, print_function + __copyright__ = "Copyright (C) 2017 - 2018 Xiaoyu Wei" __license__ = """ diff --git a/test/test_laplace3d.py b/test/test_laplace3d.py index 02b6551453c1c8329ae1935e7e4f71356c608b8a..b639701fef684e8d67b919f7c14ad21a16fb619e 100644 --- a/test/test_laplace3d.py +++ b/test/test_laplace3d.py @@ -1,3 +1,5 @@ +from __future__ import absolute_import, division, print_function + __copyright__ = "Copyright (C) 2018 Xiaoyu Wei" __license__ = """ diff --git a/test/test_list1_gallery.py b/test/test_list1_gallery.py index 1e89a311f03f9c09fb4aca772f66c0b4633b93f6..0fab90d52cf7e6830d0433a6ad2224bded9224f3 100644 --- a/test/test_list1_gallery.py +++ b/test/test_list1_gallery.py @@ -1,3 +1,5 @@ +from __future__ import absolute_import, division, print_function + __copyright__ = "Copyright (C) 2017 - 2018 Xiaoyu Wei" __license__ = """ diff --git a/test/test_nearfield_interaction_completeness.py b/test/test_nearfield_interaction_completeness.py index 72847d4f6a4cc603e8496f136b6405588844e40c..32fafa6a9ceb56d27c79904bd204dbf134170f8c 100644 --- a/test/test_nearfield_interaction_completeness.py +++ b/test/test_nearfield_interaction_completeness.py @@ -176,18 +176,18 @@ def drive_test_completeness(ctx, queue, dim, q_order): assert(abs(p - 2**dim) < 1e-8) -def test_completeness_1(ctx_getter): +def test_completeness_1(ctx_factory): - ctx = ctx_getter() + ctx = ctx_factory() queue = cl.CommandQueue(ctx) drive_test_completeness(ctx, queue, 2, 1) drive_test_completeness(ctx, queue, 3, 1) -def test_completeness(longrun, ctx_getter): +def test_completeness(longrun, ctx_factory): - ctx = ctx_getter() + ctx = ctx_factory() queue = cl.CommandQueue(ctx) for q in range(2, 4): diff --git a/test/test_nearfield_potential_table.py b/test/test_nearfield_potential_table.py index 6eb80373a79372ba6bdfd08990eb7070b4771591..c7a6dd4fedff4d2d31336d8c4204bc66ffa69fd6 100644 --- a/test/test_nearfield_potential_table.py +++ b/test/test_nearfield_potential_table.py @@ -1,3 +1,5 @@ +from __future__ import absolute_import, division, print_function + __copyright__ = "Copyright (C) 2017 - 2018 Xiaoyu Wei" __license__ = """ @@ -72,11 +74,11 @@ def test_modes(): def cheb_eval(dim, coefs, coords): if dim == 1: - return chebval(*coords, coefs) + return chebval(coords[0], coefs) elif dim == 2: - return chebval2d(*coords, coefs) + return chebval2d(coords[0], coords[1], coefs) elif dim == 3: - return chebval3d(*coords, coefs) + return chebval3d(coords[0], coords[1], coords[2], coefs) else: raise NotImplementedError('dimension %d not supported' % dim) @@ -97,7 +99,7 @@ def drive_test_modes_cheb_coeffs(dim, q, cheb_order): # NOTE: table.q_points are over [0, 1]^dim, # while cheb_eval assumes points are over [-1, 1]^dim targets = np.array([ - [q[i] for q in table.q_points] + [qpt[i] for qpt in table.q_points] for i in range(dim)]) * 2 - 1 mode_vals = cheb_eval(dim, ccoefs, targets) diff --git a/test/test_table_manager.py b/test/test_table_manager.py index 051471f471ad6f38a0506e46f01a9d5bbc41ffa7..e78660fdf8ca4b6a816a09d388f5746c2d531f0c 100644 --- a/test/test_table_manager.py +++ b/test/test_table_manager.py @@ -1,3 +1,5 @@ +from __future__ import absolute_import, division, print_function + __copyright__ = "Copyright (C) 2017 - 2018 Xiaoyu Wei" __license__ = """ @@ -20,40 +22,46 @@ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. """ -import subprocess import numpy as np +import pyopencl as cl import pytest import volumential as vm -from volumential.table_manager import NearFieldInteractionTableManager - +from volumential.table_manager import ( + NearFieldInteractionTableManager as NFTable) -dim = 2 -table_manager = NearFieldInteractionTableManager() -table, _ = table_manager.get_table(dim, "Laplace", q_order=1, force_recompute=False) -case_same_box = len(table.interaction_case_vecs) // 2 +def get_table(queue, q_order=1, dim=2): + with NFTable("/tmp/volumential-tests.hdf5") as table_manager: + table, _ = table_manager.get_table( + dim, "Laplace", + q_order=q_order, force_recompute=False, queue=queue) + return table -def test_case_id(): - table1, _ = table_manager.get_table( - dim, "Laplace", q_order=1, force_recompute=False - ) - assert table1.interaction_case_vecs[case_same_box] == [0, 0] +def test_case_id(ctx_factory): + cl_ctx = ctx_factory() + queue = cl.CommandQueue(cl_ctx) + table = get_table(queue) + case_same_box = len(table.interaction_case_vecs) // 2 + assert list(table.interaction_case_vecs[case_same_box]) == [0, 0] -def test_get_table(): - assert table.dim == dim +def test_get_table(ctx_factory): + cl_ctx = ctx_factory() + queue = cl.CommandQueue(cl_ctx) + table = get_table(queue) + assert table.dim == 2 -def laplace_const_source_same_box(q_order): - nft, _ = table_manager.get_table( - dim, "Laplace", q_order=q_order, force_recompute=False - ) +def laplace_const_source_same_box(queue, q_order, dim=2): + nft = get_table(queue, q_order, dim) n_pairs = nft.n_pairs n_q_points = nft.n_q_points pot = np.zeros(n_q_points) + case_same_box = len(nft.interaction_case_vecs) // 2 + for source_mode_index in range(n_q_points): for target_point_index in range(n_q_points): pair_id = source_mode_index * n_q_points + target_point_index @@ -65,10 +73,8 @@ def laplace_const_source_same_box(q_order): return pot -def laplace_cons_source_neighbor_box(q_order, case_id): - nft, _ = table_manager.get_table( - dim, "Laplace", q_order=q_order, force_recompute=False - ) +def laplace_cons_source_neighbor_box(queue, q_order, case_id, dim=2): + nft = get_table(queue, q_order, dim) n_pairs = nft.n_pairs n_q_points = nft.n_q_points @@ -85,16 +91,15 @@ def laplace_cons_source_neighbor_box(q_order, case_id): return pot -def test_lcssb_1(): - u = laplace_const_source_same_box(1) +def test_lcssb_1(ctx_factory): + cl_ctx = ctx_factory() + queue = cl.CommandQueue(cl_ctx) + u = laplace_const_source_same_box(queue, 1) assert len(u) == 1 -def interp_func(q_order, coef): - nft, _ = table_manager.get_table( - dim, "Laplace", q_order=q_order, force_recompute=False - ) - +def interp_func(queue, q_order, coef, dim=2): + nft = get_table(queue, q_order, dim) assert dim == 2 modes = [nft.get_mode(i) for i in range(nft.n_q_points)] @@ -109,43 +114,38 @@ def interp_func(q_order, coef): return func -def test_interp_func(longrun): +def test_interp_func(longrun, ctx_factory): + cl_ctx = ctx_factory() + queue = cl.CommandQueue(cl_ctx) q_order = 3 coef = np.ones(q_order ** 2) h = 0.1 xx = yy = np.arange(-1.0, 1.0, h) xi, yi = np.meshgrid(xx, yy) - func = interp_func(q_order, coef) + func = interp_func(queue, q_order, coef) zi = func(xi, yi) assert np.allclose(zi, 1) -def direct_quad(source_func, target_point): - +def direct_quad(source_func, target_point, dim=2): knl_func = vm.nearfield_potential_table.get_laplace(dim) def integrand(x, y): return source_func(x, y) * knl_func(x - target_point[0], y - target_point[1]) - import volumential.singular_integral_2d as squad - - integral, error = squad.box_quad( - func=integrand, a=0, b=1, c=0, d=1, singular_point=target_point, maxiter=1000 - ) - + integral, _ = squad.box_quad( + func=integrand, a=0, b=1, c=0, d=1, + singular_point=target_point, maxiter=1000) return integral -def drive_test_direct_quad_same_box(q_order): - u = laplace_const_source_same_box(q_order) - func = interp_func(q_order, u) - - nft, _ = table_manager.get_table( - dim, "Laplace", q_order=q_order, force_recompute=False - ) +def drive_test_direct_quad_same_box(queue, q_order, dim=2): + u = laplace_const_source_same_box(queue, q_order) + func = interp_func(queue, q_order, u) + nft = get_table(queue, q_order, dim) def const_one_source_func(x, y): return 1 @@ -169,16 +169,114 @@ def drive_test_direct_quad_same_box(q_order): assert np.abs(v1 - v3) < 1e-6 -@pytest.mark.parametrize("q_order", [1, 2]) -def test_direct_quad(q_order): - subprocess.check_call(['rm', '-f', 'nft.hdf5']) - drive_test_direct_quad_same_box(q_order) +@pytest.mark.parametrize("q_order", [1, ]) +def test_direct_quad(q_order, ctx_factory): + cl_ctx = ctx_factory() + queue = cl.CommandQueue(cl_ctx) + drive_test_direct_quad_same_box(queue, q_order) + + +@pytest.mark.parametrize("q_order", [2, 3, 4, 5]) +def test_direct_quad_longrun(longrun, ctx_factory, q_order): + cl_ctx = ctx_factory() + queue = cl.CommandQueue(cl_ctx) + drive_test_direct_quad_same_box(queue, q_order) + + +def test_case_ids(ctx_factory): + cl_ctx = ctx_factory() + queue = cl.CommandQueue(cl_ctx) + table = get_table(queue) + for i in range(len(table.interaction_case_vecs)): + code = table.case_encode( + table.interaction_case_vecs[i]) + assert table.case_indices[code] == i + + +def get_target_point(case_id, target_id, table): + case_vec = table.interaction_case_vecs[case_id] + center = np.array([0.5, 0.5]) + np.array(case_vec) * 0.25 + dist = np.max(np.abs(case_vec)) - 2 + if dist == 1: + scale = 0.5 + elif dist == 2: + scale = 1 + elif dist == 4: + scale = 2 + dx = table.q_points[target_id][0] - 0.5 + dy = table.q_points[target_id][1] - 0.5 + target_point = np.array([center[0] + dx * scale, center[1] + dy * scale]) + return target_point + + +def test_get_neighbor_target_point(ctx_factory): + cl_ctx = ctx_factory() + queue = cl.CommandQueue(cl_ctx) + table = get_table(queue) + case_same_box = len(table.interaction_case_vecs) // 2 + for cid in range(len(table.interaction_case_vecs)): + if cid == case_same_box: + continue + for tpid in range(table.n_q_points): + pt = table.find_target_point(tpid, cid) + pt2 = get_target_point(cid, tpid, table) + assert np.allclose(pt, pt2) + + +def laplace_const_source_neighbor_box(queue, q_order, case_id, dim=2): + nft = get_table(queue, q_order, dim) + + n_pairs = nft.n_pairs + n_q_points = nft.n_q_points + pot = np.zeros(n_q_points) + + for source_mode_index in range(n_q_points): + for target_point_index in range(n_q_points): + pair_id = source_mode_index * n_q_points + target_point_index + entry_id = case_id * n_pairs + pair_id + pot[target_point_index] += 1.0 * nft.data[entry_id] + return pot + + +def drive_test_direct_quad_neighbor_box(queue, q_order, case_id, dim=2): + u = laplace_const_source_neighbor_box(queue, q_order, case_id) + nft = get_table(queue, q_order, dim) + + def const_one_source_func(x, y): + return 1 + + for it in range(nft.n_q_points): + target = nft.find_target_point(it, case_id) + v1 = u[it] + v2 = direct_quad(const_one_source_func, target) + v3 = 0 + for ids in range(nft.n_q_points): + mode = nft.get_mode(ids) + vv = direct_quad(mode, target) + print(ids, it, vv) + v3 += vv + + print(target, v1, v2, v3) + assert np.abs(v1 - v2) < 2e-6 + assert np.abs(v1 - v3) < 1e-6 + + +@pytest.mark.parametrize("q_order", [1, ]) +def test_direct_quad_neighbor_box(ctx_factory, q_order): + cl_ctx = ctx_factory() + queue = cl.CommandQueue(cl_ctx) + table = get_table(queue) + for case_id in range(len(table.interaction_case_vecs)): + drive_test_direct_quad_neighbor_box(queue, q_order, case_id) -@pytest.mark.parametrize("q_order", [3, 4, 5]) -def test_direct_quad_longrun(longrun, q_order): - subprocess.check_call(['rm', '-f', 'nft.hdf5']) - drive_test_direct_quad_same_box(q_order) +@pytest.mark.parametrize("q_order", [2, ]) +def test_direct_quad_neighbor_box_longrun(longrun, ctx_factory, q_order): + cl_ctx = ctx_factory() + queue = cl.CommandQueue(cl_ctx) + table = get_table(queue) + for case_id in range(len(table.interaction_case_vecs)): + drive_test_direct_quad_neighbor_box(queue, q_order, case_id) # fdm=marker:ft=pyopencl diff --git a/test/test_table_manager_2.py b/test/test_table_manager_2.py deleted file mode 100644 index 2db8d46e696f02478bae9b336da0a7eae2757446..0000000000000000000000000000000000000000 --- a/test/test_table_manager_2.py +++ /dev/null @@ -1,151 +0,0 @@ -__copyright__ = "Copyright (C) 2017 - 2018 Xiaoyu Wei" - -__license__ = """ -Permission is hereby granted, free of charge, to any person obtaining a copy -of this software and associated documentation files (the "Software"), to deal -in the Software without restriction, including without limitation the rights -to use, copy, modify, merge, publish, distribute, sublicense, and/or sell -copies of the Software, and to permit persons to whom the Software is -furnished to do so, subject to the following conditions: - -The above copyright notice and this permission notice shall be included in -all copies or substantial portions of the Software. - -THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR -IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, -FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE -AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER -LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, -OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN -THE SOFTWARE. -""" - -import subprocess -import pytest -import numpy as np -import volumential as vm -from volumential.table_manager import NearFieldInteractionTableManager - - -dim = 2 -table_manager = NearFieldInteractionTableManager() -table, _ = table_manager.get_table(dim, "Laplace", q_order=1, force_recompute=False) - -case_same_box = len(table.interaction_case_vecs) // 2 - - -def test_case_ids(): - for i in range(len(table.interaction_case_vecs)): - code = table.case_encode(table.interaction_case_vecs[i]) - assert table.case_indices[code] == i - - -def get_target_point(case_id, target_id): - assert case_id != case_same_box - case_vec = table.interaction_case_vecs[case_id] - center = np.array([0.5, 0.5]) + np.array(case_vec) * 0.25 - dist = np.max(np.abs(case_vec)) - 2 - if dist == 1: - scale = 0.5 - elif dist == 2: - scale = 1 - elif dist == 4: - scale = 2 - dx = table.q_points[target_id][0] - 0.5 - dy = table.q_points[target_id][1] - 0.5 - target_point = np.array([center[0] + dx * scale, center[1] + dy * scale]) - return target_point - - -def test_get_neighbor_target_point(): - - for cid in range(len(table.interaction_case_vecs)): - - if cid == case_same_box: - continue - - for tpid in range(table.n_q_points): - pt = table.find_target_point(tpid, cid) - pt2 = get_target_point(cid, tpid) - - assert np.allclose(pt, pt2) - - -def laplace_const_source_neighbor_box(q_order, case_id): - nft, _ = table_manager.get_table( - dim, "Laplace", q_order=q_order, force_recompute=False - ) - - n_pairs = nft.n_pairs - n_q_points = nft.n_q_points - pot = np.zeros(n_q_points) - - for source_mode_index in range(n_q_points): - for target_point_index in range(n_q_points): - pair_id = source_mode_index * n_q_points + target_point_index - entry_id = case_id * n_pairs + pair_id - pot[target_point_index] += 1.0 * nft.data[entry_id] - - return pot - - -def direct_quad(source_func, target_point): - - knl_func = vm.nearfield_potential_table.get_laplace(dim) - - def integrand(x, y): - return source_func(x, y) * knl_func(x - target_point[0], y - target_point[1]) - - import volumential.singular_integral_2d as squad - - integral, error = squad.box_quad( - func=integrand, a=0, b=1, c=0, d=1, singular_point=target_point, maxiter=1000 - ) - - return integral - - -def drive_test_direct_quad_neighbor_box(q_order, case_id): - u = laplace_const_source_neighbor_box(q_order, case_id) - - nft, _ = table_manager.get_table( - dim, "Laplace", q_order=q_order, force_recompute=False - ) - - def const_one_source_func(x, y): - return 1 - - for it in range(nft.n_q_points): - target = nft.find_target_point(it, case_id) - v1 = u[it] - v2 = direct_quad(const_one_source_func, target) - v3 = 0 - for ids in range(nft.n_q_points): - mode = nft.get_mode(ids) - vv = direct_quad(mode, target) - print(ids, it, vv) - v3 += vv - - print(target, v1, v2, v3) - assert np.abs(v1 - v2) < 2e-6 - assert np.abs(v1 - v3) < 1e-6 - - -@pytest.mark.parametrize("q_order", [1, ]) -def test_direct_quad_neighbor_box(q_order): - subprocess.check_call(['rm', '-f', 'nft.hdf5']) - for case_id in range(len(table.interaction_case_vecs)): - drive_test_direct_quad_neighbor_box(q_order, case_id) - - -@pytest.mark.parametrize("q_order", [2, ]) -def test_direct_quad_neighbor_box_longrun(longrun, q_order): - subprocess.check_call(['rm', '-f', 'nft.hdf5']) - for case_id in range(len(table.interaction_case_vecs)): - drive_test_direct_quad_neighbor_box(q_order, case_id) - - -# fdm=marker:ft=pyopencl - - -# fdm=marker:ft=pyopencl diff --git a/test/test_volume_fmm.py b/test/test_volume_fmm.py index 853d7da1de367cd162d61225b0b179fb8c42c9cc..486432bef58b6b617852d1d0756fff629fa85065 100644 --- a/test/test_volume_fmm.py +++ b/test/test_volume_fmm.py @@ -45,10 +45,10 @@ import pytest # {{{ make sure context getter works -def test_cl_ctx_getter(ctx_getter): +def test_cl_ctx_getter(ctx_factory): logging.basicConfig(level=logging.INFO) - ctx = ctx_getter() + ctx = ctx_factory() queue = cl.CommandQueue(ctx) a_np = np.random.rand(50000).astype(np.float32) @@ -86,8 +86,8 @@ def test_cl_ctx_getter(ctx_getter): @pytest.fixture -def laplace_problem(ctx_getter): - ctx = ctx_getter() +def laplace_problem(ctx_factory): + ctx = ctx_factory() queue = cl.CommandQueue(ctx) dim = 2 diff --git a/volumential/__init__.py b/volumential/__init__.py index 1e358d40eaa23c6668af133722b5b8a4c37834a9..5d792901961918b4b64afe4e6634a75975b2143b 100644 --- a/volumential/__init__.py +++ b/volumential/__init__.py @@ -1,4 +1,4 @@ -from __future__ import division +from __future__ import absolute_import, division, print_function __copyright__ = "Copyright (C) 2017 - 2018 Xiaoyu Wei" @@ -21,6 +21,8 @@ LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. """ +import os +from pytools.persistent_dict import WriteOncePersistentDict from volumential.singular_integral_2d import box_quad from volumential.version import VERSION_TEXT @@ -32,20 +34,63 @@ from volumential.nearfield_potential_table import ( # noqa: F401 volumential_version = VERSION_TEXT __all__ = ["volumential_version", "box_quad", "nearfield_potential_table"] -""" -try: - import volumential.meshgen as meshgen # noqa: F401 - __all__.append("meshgen") -except ImportError: - raise ImportError("Could not import volumential.meshgen. " - "You need to either run 'build.sh' in " - "volumential/contrib/meshgen11_dealii or install a " - "version of boxtree that provides interactive tree " - "building.") -""" __doc__ = """ :mod:`volumential` can compute 2/3D volume potentials using FMM. """ +code_cache = WriteOncePersistentDict("volumential-code-cache-v0-"+VERSION_TEXT) + +# {{{ optimization control + +OPT_ENABLED = True + +OPT_ENABLED = "VOLUMENTIAL_NO_OPT" not in os.environ + + +def set_optimization_enabled(flag): + """Set whether the :mod:`loopy` kernels should be optimized.""" + global OPT_ENABLED + OPT_ENABLED = flag + +# }}} + +# {{{ cache control + + +CACHING_ENABLED = True + +CACHING_ENABLED = ( + "VOLUMENTIAL_NO_CACHE" not in os.environ + and "CG_NO_CACHE" not in os.environ) + + +def set_caching_enabled(flag): + """Set whether :mod:`loopy` is allowed to use disk caching for its various + code generation stages. + """ + global CACHING_ENABLED + CACHING_ENABLED = flag + + +class CacheMode(object): + """A context manager for setting whether :mod:`volumential` is allowed to use + disk caches. + """ + + def __init__(self, new_flag): + self.new_flag = new_flag + + def __enter__(self): + global CACHING_ENABLED + self.previous_mode = CACHING_ENABLED + CACHING_ENABLED = self.new_flag + + def __exit__(self, exc_type, exc_val, exc_tb): + global CACHING_ENABLED + CACHING_ENABLED = self.previous_mode + del self.previous_mode + +# }}} + # vim: filetype=pyopencl:fdm=marker diff --git a/volumential/droste.py b/volumential/droste.py index 0b88f493bb88d921fdeba75675bb2c27b12fe108..7307fead38f0e9e439852ac51628ed8025d9d9c4 100644 --- a/volumential/droste.py +++ b/volumential/droste.py @@ -1,3 +1,5 @@ +from __future__ import absolute_import, division, print_function + __copyright__ = "Copyright (C) 2018 Xiaoyu Wei" __license__ = """ @@ -22,7 +24,7 @@ THE SOFTWARE. import numpy as np import loopy as lp -from sumpy.tools import KernelCacheWrapper +from volumential.tools import KernelCacheWrapper import logging @@ -567,12 +569,13 @@ class DrosteBase(KernelCacheWrapper): ) ] - def get_target_points(self): + def get_target_points(self, queue=None): import volumential.meshgen as mg q_points, _, _ = mg.make_uniform_cubic_grid( - degree=self.ntgt_points, level=1, dim=self.dim - ) + degree=self.ntgt_points, level=1, dim=self.dim, + queue=queue) + # map to [0,1]^d mapped_q_points = np.array( [ @@ -590,7 +593,7 @@ class DrosteBase(KernelCacheWrapper): return mapped_q_points[q_points_ordering] def postprocess_cheb_table(self, cheb_table, cheb_coefs): - nfp_table = np.zeros([self.n_q_points, *cheb_table.shape[self.dim:]]) + nfp_table = np.zeros([self.n_q_points, ] + list(cheb_table.shape[self.dim:])) # transform to interpolatory basis functions # NOTE: the reversed order of indices, e.g., @@ -625,7 +628,8 @@ class DrosteFull(DrosteBase): """ def __init__(self, integral_knl, quad_order, case_vecs, n_brick_quad_points=50): - super().__init__(integral_knl, quad_order, case_vecs, n_brick_quad_points) + super(DrosteFull, self).__init__( + integral_knl, quad_order, case_vecs, n_brick_quad_points) self.name = "DrosteFull" def make_loop_domain(self): @@ -665,17 +669,15 @@ class DrosteFull(DrosteBase): lp.GlobalArg("interaction_case_vecs", np.float64, "dim, n_cases"), lp.GlobalArg("interaction_case_scls", np.float64, "n_cases"), lp.GlobalArg( - "result", - lp.auto, + "result", None, ", ".join( ["nfunctions" for d in range(self.dim)] + ["quad_order" for d in range(self.dim)] ) + ", n_cases", - ), - *extra_kernel_kwarg_types, - "...", - ], + ), ] + + list(extra_kernel_kwarg_types) + + ["...", ], name="brick_map", lang_version=(2018, 2), ) @@ -693,10 +695,10 @@ class DrosteFull(DrosteBase): def get_optimized_kernel(self, ncpus=None, **kwargs): if ncpus is None: - import os + import multiprocessing # NOTE: this detects the number of logical cores, which # may result in suboptimal performance. - ncpus = os.cpu_count() + ncpus = multiprocessing.cpu_count() knl = self.get_kernel(**kwargs) knl = lp.split_iname(knl, "icase", ncpus, inner_tag="g.0") return knl @@ -752,7 +754,7 @@ class DrosteFull(DrosteBase): root_brick[:, 1] = source_box_extent # target points in 1D - q_points = self.get_target_points() + q_points = self.get_target_points(queue) assert len(q_points) == self.ntgt_points ** self.dim t = np.array([pt[-1] for pt in q_points[: self.ntgt_points]]) @@ -841,7 +843,8 @@ class DrosteReduced(DrosteBase): n_brick_quad_points=50, knl_symmetry_tags=None, ): - super().__init__(integral_knl, quad_order, case_vecs, n_brick_quad_points) + super(DrosteReduced, self).__init__( + integral_knl, quad_order, case_vecs, n_brick_quad_points) from volumential.list1_symmetry import CaseVecReduction @@ -1043,8 +1046,8 @@ class DrosteReduced(DrosteBase): expansion_code = [] for ext_index, ext_id in zip(range(len(ext_ids)), ext_ids): - ext_tgt_ordering = base_tgt_ordering.copy() - ext_fun_ordering = base_fun_ordering.copy() + ext_tgt_ordering = list(base_tgt_ordering) + ext_fun_ordering = list(base_fun_ordering) # apply s for swap in ext_id[1:]: ns = len(swap) @@ -1125,17 +1128,14 @@ class DrosteReduced(DrosteBase): lp.GlobalArg("interaction_case_scls", np.float64, "n_cases"), lp.GlobalArg("target_nodes", np.float64, "quad_order"), lp.GlobalArg( - "result", - lp.auto, + "result", None, ", ".join( ["nfunctions" for d in range(self.dim)] + ["quad_order" for d in range(self.dim)] ) + ", n_cases", - ), - *extra_kernel_kwarg_types, - "...", - ], + ), ] + list(extra_kernel_kwarg_types) + + ["...", ], name="brick_map", lang_version=(2018, 2), ) @@ -1147,17 +1147,14 @@ class DrosteReduced(DrosteBase): [ lp.ValueArg("n_cases, nfunctions, quad_order, dim", np.int32), lp.GlobalArg( - "result", - lp.auto, + "result", None, ", ".join( ["nfunctions" for d in range(self.dim)] + ["quad_order" for d in range(self.dim)] ) + ", n_cases", - ), - *extra_kernel_kwarg_types, - "...", - ], + ), ] + list(extra_kernel_kwarg_types) + + ["...", ], name="brick_map_expansion", lang_version=(2018, 2), ) @@ -1180,10 +1177,10 @@ class DrosteReduced(DrosteBase): # The returned kernel depends on the state variable # self.current_base_case, self.get_kernel_id if ncpus is None: - import os + import multiprocessing # NOTE: this detects the number of logical cores, which # may result in suboptimal performance. - ncpus = os.cpu_count() + ncpus = multiprocessing.cpu_count() knl = self.get_kernel(**kwargs) knl = lp.join_inames(knl, inames=self.basis_vars, new_iname="func") @@ -1243,7 +1240,7 @@ class DrosteReduced(DrosteBase): root_brick[:, 1] = source_box_extent # target points in 1D - q_points = self.get_target_points() + q_points = self.get_target_points(queue) assert len(q_points) == self.ntgt_points ** self.dim t = np.array([pt[-1] for pt in q_points[: self.ntgt_points]]) @@ -1548,7 +1545,7 @@ class InverseDrosteReduced(DrosteReduced): """ :param auto_windowing: auto-detect window radius. """ - super().__init__( + super(InverseDrosteReduced, self).__init__( integral_knl, quad_order, case_vecs, n_brick_quad_points, knl_symmetry_tags) self.auto_windowing = auto_windowing @@ -1938,17 +1935,14 @@ class InverseDrosteReduced(DrosteReduced): lp.GlobalArg("interaction_case_scls", np.float64, "n_cases"), lp.GlobalArg("target_nodes", np.float64, "quad_order"), lp.GlobalArg( - "result", - lp.auto, + "result", None, ", ".join( ["nfunctions" for d in range(self.dim)] + ["quad_order" for d in range(self.dim)] ) + ", n_cases", - ), - *extra_kernel_kwarg_types, - "...", - ], + ), ] + list(extra_kernel_kwarg_types) + + ["...", ], name="brick_map_%d" % self.get_kernel_id, lang_version=(2018, 2), **extra_loopy_kernel_kwargs @@ -1961,17 +1955,14 @@ class InverseDrosteReduced(DrosteReduced): [ lp.ValueArg("n_cases, nfunctions, quad_order, dim", np.int32), lp.GlobalArg( - "result", - lp.auto, + "result", None, ", ".join( ["nfunctions" for d in range(self.dim)] + ["quad_order" for d in range(self.dim)] ) + ", n_cases", - ), - *extra_kernel_kwarg_types, - "...", - ], + ), ] + list(extra_kernel_kwarg_types) + + ["...", ], name="brick_map_expansion", lang_version=(2018, 2), **extra_loopy_kernel_kwargs @@ -2023,7 +2014,7 @@ class InverseDrosteReduced(DrosteReduced): alpha = 0 # (template) target points in 1D over [0, 1] - q_points = self.get_target_points() + q_points = self.get_target_points(queue) assert len(q_points) == self.ntgt_points ** self.dim t = np.array([pt[-1] for pt in q_points[: self.ntgt_points]]) diff --git a/volumential/expansion_wrangler_fpnd.py b/volumential/expansion_wrangler_fpnd.py index c2ae9466f5d578026e2372cb9a09c11c4fd5ef11..f313c9c0f4c21c872add283d476f14a4a9d0382a 100644 --- a/volumential/expansion_wrangler_fpnd.py +++ b/volumential/expansion_wrangler_fpnd.py @@ -573,7 +573,7 @@ class FPNDFMMLibExpansionWranglerCodeContainer( def get_wrangler(self, queue, tree, dtype, fmm_level_to_order, source_extra_kwargs={}, kernel_extra_kwargs=None, - *args, **kwargs,): + *args, **kwargs): return FPNDFMMLibExpansionWrangler(self, queue, tree, dtype, fmm_level_to_order, source_extra_kwargs, kernel_extra_kwargs, diff --git a/volumential/expansion_wrangler_interface.py b/volumential/expansion_wrangler_interface.py index 96f5e51867c8c17226db5cceb3080c5cd2ab400d..ea006ffffd968a0346468cd19c0502c7cc8d8c15 100644 --- a/volumential/expansion_wrangler_interface.py +++ b/volumential/expansion_wrangler_interface.py @@ -1,4 +1,4 @@ -from __future__ import division +from __future__ import absolute_import, division, print_function __copyright__ = "Copyright (C) 2017 - 2018 Xiaoyu Wei" @@ -37,13 +37,15 @@ __doc__ = """ # NOTE: abstractmethod's signatures (arguement lists) are not enforced -class ExpansionWranglerInterface(metaclass=ABCMeta): +class ExpansionWranglerInterface(object): """ Abstract expansion handling interface. The interface is adapted from, and stays compatible with boxtree/fmm. TODO: Update docstrings """ + __metaclass__ = ABCMeta + @abstractmethod def multipole_expansion_zeros(self): """ @@ -206,11 +208,14 @@ class ExpansionWranglerInterface(metaclass=ABCMeta): # {{{ code container interface -class ExpansionWranglerCodeContainerInterface(metaclass=ABCMeta): +class ExpansionWranglerCodeContainerInterface(object): """ Abstract expansion code container interface. The interface is adapted from, and stays compatible with boxtree/fmm. """ + + __metaclass__ = ABCMeta + @abstractmethod def get_wrangler(self, *args, **kwargs): """Makes a wrangler object. diff --git a/volumential/function_extension.py b/volumential/function_extension.py index 380cb31fd6219f6ea3b5f273eba1aa0a47ce65c7..1612d60542dff04ca789a5a4a4fc7216496c4e3e 100644 --- a/volumential/function_extension.py +++ b/volumential/function_extension.py @@ -1,3 +1,5 @@ +from __future__ import absolute_import, division, print_function + """Function extension with regularity contraints: 1. :math:`L^2`: extend with constant value @@ -184,7 +186,8 @@ def compute_harmonic_extension(queue, target_discr, sym.S(kernel, inv_sqrt_w_sigma, **repr_kwargs) + sym.D(kernel, inv_sqrt_w_sigma, **repr_kwargs)) - qbx_stick_out = qbx.copy(target_stick_out_factor=target_association_tolerance) + qbx_stick_out = qbx.copy( + target_association_tolerance=target_association_tolerance) debugging_info['qbx'] = qbx_stick_out debugging_info['representation'] = representation_sym @@ -266,8 +269,7 @@ class ComplexLogKernel(ExpressionKernel): if self.dim == 2: if nderivatives == 0: - import sumpy.symbolic as sp - return (expr + sp.log(rscale)) + return expr + var("log")(rscale) else: return expr diff --git a/volumential/geometry.py b/volumential/geometry.py index 01b0ba22f5c8f1a4afde8f70f8c0f89d86f8eac2..b00dc3ba3bf3840fda149ba5309fcbb612e67ec2 100644 --- a/volumential/geometry.py +++ b/volumential/geometry.py @@ -1,3 +1,5 @@ +from __future__ import absolute_import, division, print_function + __copyright__ = "Copyright (C) 2019 Xiaoyu Wei" __license__ = """ @@ -140,7 +142,7 @@ class BoxFMMGeometryFactory(): :class:`volumential.meshgen.MeshGenBase` interface. """ def __init__( - self, cl_ctx, dim, *, quadrature_formula, + self, cl_ctx, dim, quadrature_formula, order, nlevels, bbox_getter, expand_to_hold_mesh=None, mesh_padding_factor=0.05): """ @@ -161,6 +163,9 @@ class BoxFMMGeometryFactory(): from volumential.meshgen import MeshGen3D self._engine_class = MeshGen3D + self.dim = dim + self.quadrature_formula = quadrature_formula + self.bbox_getter = bbox_getter self.cl_context = cl_ctx @@ -176,7 +181,7 @@ class BoxFMMGeometryFactory(): self.engine = self._engine_class(self.order, self.nlevels, a, b) def reinit( - self, *, order=None, nlevels=None, + self, order=None, nlevels=None, quadrature_formula=None, expand_to_hold_mesh=None, mesh_padding_factor=None): """Resets the engine to its initial state, and optionally also diff --git a/volumential/list1.py b/volumential/list1.py index 328c708f586733804eea52978b3f8dada0264a6d..186a3a347e3e3cb425856285244fc57508a0f6e3 100644 --- a/volumential/list1.py +++ b/volumential/list1.py @@ -1,3 +1,5 @@ +from __future__ import absolute_import, division, print_function + __copyright__ = "Copyright (C) 2018 Xiaoyu Wei" __license__ = """ @@ -31,7 +33,7 @@ import numpy as np import loopy import pyopencl as cl -from sumpy.tools import KernelCacheWrapper +from volumential.tools import KernelCacheWrapper import logging @@ -46,6 +48,8 @@ class NearFieldEvalBase(KernelCacheWrapper): """Base class of near-field evalulator. """ + default_name = "near_field_eval_base" + def __init__( self, integral_kernel, @@ -423,6 +427,7 @@ class NearFieldFromCSR(NearFieldEvalBase): "...", ], name="near_field", + lang_version=(2018, 2) ) # print(lpknl) @@ -445,10 +450,10 @@ class NearFieldFromCSR(NearFieldEvalBase): def get_optimized_kernel(self, ncpus=None): if ncpus is None: - import os + import multiprocessing # NOTE: this detects the number of logical cores, disable hyperthreading # for the optimal performance. - ncpus = os.cpu_count() + ncpus = multiprocessing.cpu_count() knl = self.get_kernel() knl = loopy.split_iname(knl, "tbox", ncpus, inner_tag="g.0") return knl @@ -522,8 +527,7 @@ class NearFieldFromCSR(NearFieldEvalBase): table_data=table_data_combined, target_boxes=target_boxes, table_root_extent=table_root_extent, - **integral_kernel_init_kargs, - ) + **integral_kernel_init_kargs) res['result'].add_event(evt) if isinstance(result, cl.array.Array): diff --git a/volumential/list1_gallery.py b/volumential/list1_gallery.py index b01e41eecfdd4d6032e26e0a002efba811cff4e0..f3a9f7f35c423d9ba3095624d31eaff2289e80e0 100644 --- a/volumential/list1_gallery.py +++ b/volumential/list1_gallery.py @@ -1,3 +1,5 @@ +from __future__ import absolute_import, division, print_function + __doc__ = """ .. autofunction:: generate_list1_gallery """ diff --git a/volumential/list1_symmetry.py b/volumential/list1_symmetry.py index d8630ecac87abfeee97646924233ed59210e8d95..ff15f1dfa5c73c856f8e1cdabd7d94e91e887cab 100644 --- a/volumential/list1_symmetry.py +++ b/volumential/list1_symmetry.py @@ -1,3 +1,5 @@ +from __future__ import absolute_import, division, print_function + __copyright__ = "Copyright (C) 2018 Xiaoyu Wei" __license__ = """ @@ -27,6 +29,9 @@ import math class SymmetryOperationBase(object): + def __init__(self, index): + self._index = index + def __lt__(self, other): if type(self) == type(other): return self._index < other._index @@ -41,8 +46,8 @@ class Flip(SymmetryOperationBase): """ def __init__(self, iaxis): + super(Flip, self).__init__(iaxis) self.axis = iaxis - self._index = iaxis def __repr__(self): return "Flip(%d)" % self.axis @@ -55,7 +60,7 @@ class Swap(SymmetryOperationBase): def __init__(self, iaxis, jaxis): self.axes = (iaxis, jaxis) - self._index = sorted(self.axes) + super(Swap, self).__init__(sorted(self.axes)) def __repr__(self): return "Swap(%d,%d)" % tuple(sorted(self.axes)) diff --git a/volumential/meshgen.py b/volumential/meshgen.py index 40b68437bf29592d69cb87ebd9a974916af1e820..26cd21b09527d951fa3cd25e1bad11e25aa71113 100644 --- a/volumential/meshgen.py +++ b/volumential/meshgen.py @@ -1,3 +1,5 @@ +from __future__ import absolute_import, division, print_function + __copyright__ = "Copyright (C) 2018 Xiaoyu Wei" __license__ = """ @@ -62,7 +64,7 @@ class MeshGenBase(object): assert degree > 0 assert nlevels > 0 self.degree = degree - self.quadrature_formula = GaussLegendreQuadrature(degree - 1) + self.quadrature_formula = LegendreGaussQuadrature(degree - 1) self.nlevels = nlevels self.bound_a = np.array([a]).flatten() @@ -95,6 +97,9 @@ class MeshGenBase(object): self.boxtree, self.quadrature_formula ) + def dimension_specific_setup(self): + pass + def get_q_points_dev(self): return self.quadrature.get_q_points(self.queue) @@ -147,7 +152,7 @@ class MeshGenBase(object): # TODO raise NotImplementedError - def print_info(self, logging_func=print): + def print_info(self, logging_func=logger.info): logging_func("Number of cells: " + str(self.n_cells())) logging_func("Number of active cells: " + str(self.n_active_cells())) logging_func("Number of quad points per cell: " @@ -178,7 +183,7 @@ except ImportError as e: try: logger.info("Trying out BoxTree.TreeInteractiveBuild interface.") import boxtree.tree_interactive_build # noqa: F401 - from modepy import GaussLegendreQuadrature + from modepy import LegendreGaussQuadrature provider = "meshgen_boxtree" @@ -211,7 +216,7 @@ except ImportError as e: tree.generate_uniform_boxtree( queue, nlevels=nlevels, root_extent=2, root_vertex=np.zeros(dim) - 1 ) - quad_rule = GaussLegendreQuadrature(degree - 1) + quad_rule = LegendreGaussQuadrature(degree - 1) quad = QuadratureOnBoxTree(tree, quad_rule) q_weights = quad.get_q_weights(queue).get(queue) q_points_dev = quad.get_q_points(queue) diff --git a/volumential/nearfield_potential_table.py b/volumential/nearfield_potential_table.py index 4b95b056907d54b8f611b520dbcf84ec9746b467..c7420f492e855f29bfc626e3b8de337cbc1a7c25 100644 --- a/volumential/nearfield_potential_table.py +++ b/volumential/nearfield_potential_table.py @@ -32,11 +32,6 @@ from functools import partial import volumential.list1_gallery as gallery import volumential.singular_integral_2d as squad -# NOTE: Cannot use sumpy kernels for "Transform" since they -# do not work with multiprocess. -# e.g. with LaplaceKernel it will complain "AttributeError: -# 'LaplaceKernel' object has no attribute 'expression'" - logger = logging.getLogger('NearFieldInteractionTable') @@ -215,7 +210,8 @@ class NearFieldInteractionTable(object): build_method=None, source_box_extent=1, dtype=np.float64, - inverse_droste=False + inverse_droste=False, + **kwargs ): """ kernel_type determines how the kernel is scaled w.r.t. box size. @@ -300,9 +296,15 @@ class NearFieldInteractionTable(object): # quad points in [-1,1] import volumential.meshgen as mg + if 'queue' in kwargs: + queue = kwargs['queue'] + else: + queue = None + q_points, _, _ = mg.make_uniform_cubic_grid( - degree=quad_order, level=1, dim=self.dim - ) + degree=quad_order, level=1, dim=self.dim, + queue=queue) + # map to source box mapped_q_points = np.array( [ @@ -626,7 +628,7 @@ class NearFieldInteractionTable(object): ct_id = qp_map(entry_info["target_point_index"]) centry_id = self.get_entry_index(cs_id, ct_id, cc_id) - return centry_id + return entry_id, centry_id def compute_table_entry(self, entry_id): """Compute one entry in the table indexed by self.data[entry_id] @@ -697,17 +699,25 @@ class NearFieldInteractionTable(object): currently only supported in 2D. """ assert self.dim == 2 - if pool is None: - from multiprocess import Pool - - pool = Pool(processes=None) - - for mode_id, nmlz in pool.imap_unordered( - self.compute_nmlz, [i for i in range(self.n_q_points)] - ): - self.mode_normalizers[mode_id] = nmlz - if pb is not None: - pb.progress(1) + if 0: + # FIXME: make everything needed for compute_nmlz picklable + if pool is None: + from multiprocessing import Pool + + pool = Pool(processes=None) + + for mode_id, nmlz in pool.imap_unordered( + self.compute_nmlz, [i for i in range(self.n_q_points)] + ): + self.mode_normalizers[mode_id] = nmlz + if pb is not None: + pb.progress(1) + else: + for mode_id in range(self.n_q_points): + _, nmlz = self.compute_nmlz(mode_id) + self.mode_normalizers[mode_id] = nmlz + if pb is not None: + pb.progress(1) def build_table_via_transform(self): """ @@ -716,10 +726,13 @@ class NearFieldInteractionTable(object): """ assert self.dim == 2 - # multiprocessing cannot handle member functions - from multiprocess import Pool - - pool = Pool(processes=None) + if 0: + # FIXME: make everything needed for compute_nmlz picklable + # multiprocessing cannot handle member functions + from multiprocessing import Pool + pool = Pool(processes=None) + else: + pool = None self.pb.draw() @@ -729,26 +742,40 @@ class NearFieldInteractionTable(object): # First compute entries that are invariant under # symmetry lookup invariant_entry_ids = [ - i for i in range(len(self.data)) if self.lookup_by_symmetry(i) == i + i for i in range(len(self.data)) if self.lookup_by_symmetry(i) == (i, i) ] - for entry_id, entry_val in pool.imap_unordered( - self.compute_table_entry, invariant_entry_ids - ): - self.data[entry_id] = entry_val - self.pb.progress(1) - - # Then complete the table via symmetry lookup - for entry_id, centry_id in enumerate( - pool.imap_unordered( - self.lookup_by_symmetry, [i for i in range(len(self.data))] - ) - ): - assert not np.isnan(self.data[centry_id]) - if centry_id == entry_id: - continue - self.data[entry_id] = self.data[centry_id] - self.pb.progress(1) + if 0: + # multiprocess disabled for py2 compatibility + # (also drops dependency on dill/multiprocess) + for entry_id, entry_val in pool.imap_unordered( + self.compute_table_entry, invariant_entry_ids + ): + self.data[entry_id] = entry_val + self.pb.progress(1) + else: + for entry_id in invariant_entry_ids: + _, entry_val = self.compute_table_entry(entry_id) + self.data[entry_id] = entry_val + self.pb.progress(1) + + if 0: + # Then complete the table via symmetry lookup + for entry_id, centry_id in pool.imap_unordered( + self.lookup_by_symmetry, [i for i in range(len(self.data))]): + assert not np.isnan(self.data[centry_id]) + if centry_id == entry_id: + continue + self.data[entry_id] = self.data[centry_id] + self.pb.progress(1) + else: + for entry_id in range(len(self.data)): + _, centry_id = self.lookup_by_symmetry(entry_id) + assert not np.isnan(self.data[centry_id]) + if centry_id == entry_id: + continue + self.data[entry_id] = self.data[centry_id] + self.pb.progress(1) self.pb.finished() @@ -1040,8 +1067,8 @@ class NearFieldInteractionTable(object): raise ValueError() if ncpus is None: - import os - ncpus = os.cpu_count() + import multiprocessing + ncpus = multiprocessing.cpu_count() if pool is None: from multiprocessing import Pool @@ -1227,14 +1254,13 @@ class NearFieldInteractionTable(object): result[iqpt] = knl_val * knl_scaling end """ - ], + ], [ lp.ValueArg("dim, n_q_points", np.int32), lp.GlobalArg("quad_points", np.float64, "dim, n_q_points"), - lp.GlobalArg("target_point", np.float64, "dim"), - *extra_kernel_kwarg_types, - "...", - ], + lp.GlobalArg("target_point", np.float64, "dim") + ] + list(extra_kernel_kwarg_types) + + ["...", ], name="eval_kernel_lucky_coin", lang_version=(2018, 2), ) @@ -1266,8 +1292,6 @@ class NearFieldInteractionTable(object): # {{{ integrate over the exterior of the ball - import scipy.integrate.quadrature as quad - if self.dim == 2: def rho_0(theta, target, radius): @@ -1285,7 +1309,8 @@ class NearFieldInteractionTable(object): # target: target point # s: fractional order # radius: radius of the circle - val, _ = quad( + import scipy.integrate as sint + val, _ = sint.quadrature( partial(ext_inf_integrand, s=s, target=target, radius=radius), a=0, diff --git a/volumential/qbfem/__init__.py b/volumential/qbfem/__init__.py index dfcd11c9da9d9983087a1bfb746336d339f02946..fadd5a32cde2ee4edf193b9bfae6a2efa70c22ee 100644 --- a/volumential/qbfem/__init__.py +++ b/volumential/qbfem/__init__.py @@ -1,3 +1,5 @@ +from __future__ import absolute_import, division, print_function + __copyright__ = "Copyright (C) 2019 Xiaoyu Wei" __license__ = """ diff --git a/volumential/qbfem/mesh.py b/volumential/qbfem/mesh.py index baf19e368101e2e3f1a302b87f38147e7da7bedd..0f20b92bdc935321880602478e7998a330b63b15 100644 --- a/volumential/qbfem/mesh.py +++ b/volumential/qbfem/mesh.py @@ -1,6 +1,8 @@ """Mesh handling """ +from __future__ import absolute_import, division, print_function + __copyright__ = "Copyright (C) 2019 Xiaoyu Wei" __license__ = """ diff --git a/volumential/singular_integral_2d.py b/volumential/singular_integral_2d.py index 999ee533f8d6cb09e9683365637166a1567291e6..109b1f28973cd21b2eb7bf693d01d5f0cca25247 100644 --- a/volumential/singular_integral_2d.py +++ b/volumential/singular_integral_2d.py @@ -1,4 +1,4 @@ -from __future__ import division +from __future__ import absolute_import, division, print_function __copyright__ = "Copyright (C) 2017 - 2018 Xiaoyu Wei" @@ -25,7 +25,8 @@ THE SOFTWARE. import logging import numpy as np -import scipy.integrate.quadrature as quad +import scipy.integrate as sint +import scipy.integrate.quadrature as quad # noqa import scipy as sp __doc__ = """The 2D singular integrals are computed using the transform @@ -102,7 +103,7 @@ def qquad( :type maxitero: int, optional. :param maxiteri: Maximum order of inner Gaussian quadrature. :type maxiteri: int, optional. - :param vec_func: True if func handles arrays as arguments (is a “vector” + :param vec_func: True if func handles arrays as arguments (is a "vector" function). Default is True. :type vec_func: bool, optional. :param minitero: Minimum order of outer Gaussian quadrature. @@ -127,7 +128,7 @@ def qquad( # Using lambda for readability def outer_integrand(y): - return quad( # NOQA + return sint.quadrature( # NOQA lambda x: func(x, y, *args), a, b, @@ -143,7 +144,7 @@ def qquad( # Is there a simple way to retrieve err info from the inner quad calls? - val, err = quad( + val, err = sint.quadrature( outer_integrand, c, d, (), tol, rtol, maxitero, vec_func, minitero ) @@ -389,7 +390,7 @@ def tria_quad( :param maxiter: Maximum order of Gaussian quadrature. :type maxiter: int, optional. :param vec_func: True if func handles arrays as arguments - (is a “vector” function). Default is True. + (is a "vector" function). Default is True. :type vec_func: bool, optional. :param miniter: Minimum order of Gaussian quadrature. :type miniter: int, optional. @@ -410,8 +411,8 @@ def tria_quad( return (0.0, 0.0) # The function must be regular at the last two vertices - assert np.isfinite(func(*tria[1], *args)) - assert np.isfinite(func(*tria[2], *args)) + assert np.isfinite(func(tria[1][0], tria[1][1], *args)) + assert np.isfinite(func(tria[2][0], tria[2][1], *args)) # Solve for transforms template_tria = ((0, 0), (1, 0), (0, 1)) @@ -435,7 +436,7 @@ def tria_quad( # Transformed function is defined on [0,1]X[0,pi/2] def transformed_func(rho, theta): preimage = inv_mapping(rho, theta) - return func(*preimage, *args) + return func(preimage[0], preimage[1], *args) # Transformed function, when multiplied by jacobian, should have no # singularity (numerically special treatment still needed) @@ -515,7 +516,7 @@ def box_quad( :type rtol: float, optional. :param maxiter: Maximum order of Gaussian quadrature. :type maxiter: int, optional. - :param vec_func: True if func handles arrays as arguments (is a “vector” + :param vec_func: True if func handles arrays as arguments (is a "vector" function). Default is True. :type vec_func: bool, optional. :param miniter: Minimum order of Gaussian quadrature. @@ -578,7 +579,7 @@ def quadri_quad( :type rtol: float, optional. :param maxiter: Maximum order of Gaussian quadrature. :type maxiter: int, optional. - :param vec_func: True if func handles arrays as arguments (is a “vector” + :param vec_func: True if func handles arrays as arguments (is a "vector" function). Default is True. :type vec_func: bool, optional. :param miniter: Minimum order of Gaussian quadrature. diff --git a/volumential/symbolic.py b/volumential/symbolic.py index 797bdc10bc762b63ee3c442d57b3ceab971393a6..1c5f9ec80390705a5b3183b2eaf5ae99627dfb78 100644 --- a/volumential/symbolic.py +++ b/volumential/symbolic.py @@ -1,3 +1,5 @@ +from __future__ import absolute_import, division, print_function + __copyright__ = "Copyright (C) 2019 Xiaoyu Wei" __license__ = """ diff --git a/volumential/table_manager.py b/volumential/table_manager.py index dcc96a5adf6c56cc6576b6227b97996b564dff77..bd6d387e7538b11f070c8e371aac02774f6fdcb9 100644 --- a/volumential/table_manager.py +++ b/volumential/table_manager.py @@ -85,10 +85,16 @@ class NearFieldInteractionTableManager(object): Tables are stored under 'Dimension/KernelName/QuadOrder/BoxLevel/dataset_name' e.g., '2D/Laplace/Order_1/Level_0/data' + + Only one table manager can exist for a dataset file with write access. + The access can be controlled with the read_only argument. By default, + the constructor tries to open the dataset with write access, and falls + back to read-only if that fails. """ def __init__(self, dataset_filename="nft.hdf5", - root_extent=1, dtype=np.float64, **kwargs): + root_extent=1, dtype=np.float64, + read_only='auto', **kwargs): """Constructor. """ self.dtype = dtype @@ -96,16 +102,24 @@ class NearFieldInteractionTableManager(object): self.filename = dataset_filename self.root_extent = root_extent - # Read/write if exists, create otherwise - self.datafile = hdf.File(self.filename, "a") + if read_only == 'auto': + try: + self.datafile = hdf.File(self.filename, "a") + except (IOError, OSError) as e: + from warnings import warn + warn("Trying to open in read/write mode failed: %s" % str(e)) + warn("Opening table dataset %s in read-only mode." % self.filename) + self.datafile = hdf.File(self.filename, "r") + elif read_only: + self.datafile = hdf.File(self.filename, "r") + else: + # Read/write if exists, create otherwise + self.datafile = hdf.File(self.filename, "a") self.table_extra_kwargs = kwargs # If the file exists, it must be for the same root_extent - if "root_extent" not in self.datafile.attrs: - self.datafile.attrs["root_extent"] = \ - self.root_extent - else: + if "root_extent" in self.datafile.attrs: if not abs( self.datafile.attrs["root_extent"] - self.root_extent ) < 1e-15: @@ -196,7 +210,7 @@ class NearFieldInteractionTableManager(object): q_order, source_box_level, compute_method, - queue, + queue=queue, **kwargs ) @@ -209,7 +223,7 @@ class NearFieldInteractionTableManager(object): q_order, source_box_level, compute_method, - queue, + queue=queue, **kwargs ) @@ -239,7 +253,7 @@ class NearFieldInteractionTableManager(object): q_order, source_box_level, compute_method, - queue, + queue=queue, **kwargs ) @@ -412,11 +426,7 @@ class NearFieldInteractionTableManager(object): provides support for some kernels such that the user can build and use the table without explicitly providing such information. """ - if kernel_type == "Laplace": - # knl = LaplaceKernel(dim) - # For unknown reasons this does not work with multiprocess - # knl_func = vm.nearfield_potential_table.sumpy_kernel_to_lambda(knl) knl_func = vm.nearfield_potential_table.get_laplace(dim) elif kernel_type == "Constant": knl_func = vm.nearfield_potential_table.constant_one @@ -425,7 +435,8 @@ class NearFieldInteractionTableManager(object): dim, kwargs["b"], kwargs["c"] ) elif kernel_type in self.supported_kernels: - knl_func = None + knl = self.get_sumpy_kernel(dim, kernel_type) + knl_func = vm.nearfield_potential_table.sumpy_kernel_to_lambda(knl) else: raise NotImplementedError("Kernel type not supported.") @@ -583,6 +594,8 @@ class NearFieldInteractionTableManager(object): logger.debug("Using default compute_method (Transform)") compute_method = "Transform" + self.datafile.attrs["root_extent"] = self.root_extent + q_order = int(q_order) assert q_order >= 1 diff --git a/volumential/tools.py b/volumential/tools.py index 8fb42d9e41769d4100d004c884e02bc7833a1df5..7e96e9dc220ca9f511ee2c16b5a932fb0fc32f1e 100644 --- a/volumential/tools.py +++ b/volumential/tools.py @@ -1,3 +1,6 @@ +from __future__ import absolute_import, division, print_function +import six + __copyright__ = "Copyright (C) 2018 Xiaoyu Wei" __license__ = """ @@ -24,9 +27,9 @@ import numpy as np import loopy as lp import pyopencl as cl import pymbolic as pmbl +from pytools import memoize_method from pymbolic.primitives import Variable as VariableType from pymbolic.primitives import Expression as ExpressionType -from sumpy.tools import KernelCacheWrapper import logging @@ -56,6 +59,70 @@ def clean_file(filename, new_name=None): # }}} End clean files +# {{{ loopy kernel cache wrapper + + +class KernelCacheWrapper(object): + # FIXME: largely code duplication with sumpy. + + def __init__(self): + self.name = "KernelCacheWrapper" + raise RuntimeError( + "KernelCacheWrapper objects should not be constructed") + + def get_cache_key(self): + raise NotImplementedError("Unimplemented cache key") + + def get_kernel(self): + raise NotImplementedError() + + def get_optimized_kernel(self): + raise NotImplementedError() + + @memoize_method + def get_cached_optimized_kernel(self, **kwargs): + from sumpy import code_cache, CACHING_ENABLED, OPT_ENABLED + + if CACHING_ENABLED: + import loopy.version + from sumpy.version import KERNEL_VERSION as SUMPY_KERNEL_VERSION + from volumential.version import KERNEL_VERSION + cache_key = ( + self.get_cache_key() + + tuple(sorted(six.iteritems(kwargs))) + + (loopy.version.DATA_MODEL_VERSION,) + + (SUMPY_KERNEL_VERSION,) + + (KERNEL_VERSION,) + + (OPT_ENABLED,)) + + try: + result = code_cache[cache_key] + logger.debug("%s: kernel cache hit [key=%s]" % ( + self.name, cache_key)) + return result + except KeyError: + pass + + logger.info("%s: kernel cache miss" % self.name) + if CACHING_ENABLED: + logger.info("%s: kernel cache miss [key=%s]" % ( + self.name, cache_key)) + + from pytools import MinRecursionLimit + with MinRecursionLimit(3000): + if OPT_ENABLED: + knl = self.get_optimized_kernel(**kwargs) + else: + knl = self.get_kernel() + + if CACHING_ENABLED: + code_cache.store_if_not_present(cache_key, knl) + + return knl + + +# }}} End loopy kernel cache wrapper + # {{{ scalar field expression eval @@ -157,9 +224,9 @@ class ScalarFieldExpressionEvaluation(KernelCacheWrapper): [ lp.ValueArg("dim, n_targets", np.int32), lp.GlobalArg("target_points", np.float64, "dim, n_targets"), - *extra_kernel_kwarg_types, - "...", - ], + ] + + list(extra_kernel_kwarg_types) + + ["...", ], name="eval_expr", lang_version=(2018, 2), ) @@ -179,10 +246,10 @@ class ScalarFieldExpressionEvaluation(KernelCacheWrapper): def get_optimized_kernel(self, ncpus=None, **kwargs): knl = self.get_kernel(**kwargs) if ncpus is None: - import os + import multiprocessing # NOTE: this detects the number of logical cores, which # may result in suboptimal performance. - ncpus = os.cpu_count() + ncpus = multiprocessing.cpu_count() knl = lp.split_iname( knl, split_iname="itgt", @@ -325,7 +392,7 @@ class DiscreteLegendreTransform(BoxSpecificMap): # Normalizers self.I = np.ascontiguousarray( # noqa: E741 - np.diag(self.V.T * self.W @ self.V)) + np.diag(self.V.T * np.matmul(self.W, self.V))) assert self.I.shape == (self.degree**self.dim,) # Fix strides for loopy @@ -333,7 +400,7 @@ class DiscreteLegendreTransform(BoxSpecificMap): # Check orthogonality ortho_resid = np.linalg.norm( - self.V.T * self.W @ self.V - np.diag(self.I)) + self.V.T * np.matmul(self.W, self.V) - np.diag(self.I)) if ortho_resid > 1e-13: logger.warn("Legendre polynomials' orthogonality residual = %f" % ortho_resid) @@ -411,8 +478,8 @@ class DiscreteLegendreTransform(BoxSpecificMap): def get_optimized_kernel(self, ncpus=None, **kwargs): knl = self.get_kernel(**kwargs) if ncpus is None: - import os - ncpus = os.cpu_count() + import multiprocessing + ncpus = multiprocessing.cpu_count() knl = lp.split_iname( knl, split_iname="bid", @@ -538,8 +605,8 @@ class BoxSum(BoxSpecificReduction): def get_optimized_kernel(self, ncpus=None, **kwargs): knl = self.get_kernel(**kwargs) if ncpus is None: - import os - ncpus = os.cpu_count() + import multiprocessing + ncpus = multiprocessing.cpu_count() knl = lp.split_iname( knl, split_iname="bid", diff --git a/volumential/version.py b/volumential/version.py index 5317e3cccb51f96f3bdff7416e19cc3b9a28ee1d..ebbc79f504d2083528e33c5efb16e4d8ad3a3d02 100644 --- a/volumential/version.py +++ b/volumential/version.py @@ -1,3 +1,5 @@ +from __future__ import absolute_import, division, print_function + __copyright__ = "Copyright (C) 2017 - 2018 Xiaoyu Wei" __license__ = """ @@ -20,8 +22,31 @@ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. """ +# {{{ find install- or run-time git revision + +import os +if os.environ.get("AKPYTHON_EXEC_FROM_WITHIN_WITHIN_SETUP_PY") is not None: + # We're just being exec'd by setup.py. We can't import anything. + _git_rev = None + +else: + import volumential._git_rev as _git_rev_mod + _git_rev = _git_rev_mod.GIT_REVISION + + # If we're running from a dev tree, the last install (and hence the most + # recent update of the above git rev) could have taken place very long ago. + from pytools import find_module_git_revision + _runtime_git_rev = find_module_git_revision(__file__, n_levels_up=1) + if _runtime_git_rev is not None: + _git_rev = _runtime_git_rev + +# }}} + VERSION = (2017, 1) -VERSION_TEXT = ".".join(str(i) for i in VERSION) +VERSION_STATUS = "alpha" +VERSION_TEXT = ".".join(str(i) for i in VERSION) + VERSION_STATUS + +KERNEL_VERSION = (VERSION, _git_rev, 0) LOOPY_LANG_VERSION = (2018, 2) diff --git a/volumential/volume_fmm.py b/volumential/volume_fmm.py index 3d377e5a0a41d5162ad2c12a86002ae574873908..3e96bc9a889dd5c09c85b3692ac4fb36e957002f 100644 --- a/volumential/volume_fmm.py +++ b/volumential/volume_fmm.py @@ -1,4 +1,4 @@ -from __future__ import division +from __future__ import absolute_import, division, print_function __copyright__ = "Copyright (C) 2017 - 2018 Xiaoyu Wei" @@ -182,13 +182,16 @@ def drive_volume_fmm( exclude_self=wrangler.code.exclude_self, value_dtypes=[wrangler.dtype], ) + + p2p_extra_kwargs = dict(wrangler.self_extra_kwargs) + p2p_extra_kwargs.update(wrangler.kernel_extra_kwargs) + evt, (ref_pot,) = p2p( wrangler.queue, traversal.tree.targets, traversal.tree.sources, (src_weights.astype(dtype),), - **wrangler.self_extra_kwargs, - **wrangler.kernel_extra_kwargs + **p2p_extra_kwargs ) potentials[0] += ref_pot @@ -598,11 +601,10 @@ def interpolate_volume_potential( box_target_counts_cumul=tree.box_target_counts_cumul, potential=potential, user_mode_ids=tree.user_source_ids, - **target_coords_knl_kwargs, target_boxes=traversal.target_boxes, root_extent=tree.root_extent, - n_tgt_boxes=len(traversal.target_boxes) - ) + n_tgt_boxes=len(traversal.target_boxes), + **target_coords_knl_kwargs) assert pout is res_dict["p_out"] assert multiplicity is res_dict["multiplicity"]