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)
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