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