from numpy.core._multiarray_umath import __cpu_features__, __cpu_baseline__, __cpu_dispatch__ from numpy.core import _umath_tests from numpy.testing import assert_equal def test_dispatcher(): """ Testing the utilities of the CPU dispatcher """ targets = ( "SSE2", "SSE41", "AVX2", "VSX", "VSX2", "VSX3", "NEON", "ASIMD", "ASIMDHP" ) highest_sfx = "" # no suffix for the baseline all_sfx = [] for feature in reversed(targets): # skip baseline features, by the default `CCompilerOpt` do not generate separated objects # for the baseline, just one object combined all of them via 'baseline' option # within the configuration statements. if feature in __cpu_baseline__: continue # check compiler and running machine support if feature not in __cpu_dispatch__ or not __cpu_features__[feature]: continue if not highest_sfx: highest_sfx = "_" + feature all_sfx.append("func" + "_" + feature) test = _umath_tests.test_dispatch() assert_equal(test["func"], "func" + highest_sfx) assert_equal(test["var"], "var" + highest_sfx) if highest_sfx: assert_equal(test["func_xb"], "func" + highest_sfx) assert_equal(test["var_xb"], "var" + highest_sfx) else: assert_equal(test["func_xb"], "nobase") assert_equal(test["var_xb"], "nobase") all_sfx.append("func") # add the baseline assert_equal(test["all"], all_sfx)