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array_equal Illegal instruction #9534
Description
numpy version:
[GCC 4.8.2 20140120 (Red Hat 4.8.2-16)] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import numpy as np
>>> np.__version__
'1.14.0.dev0+9e05bc3'python3 a.py
output:
aaa <class 'numpy.ndarray'> <class 'numpy.ndarray'>
Illegal instruction
cat a.py
import numpy as np
a=[0, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1]
b=[0, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1]
np.array_equal(a,b)array_equal function at numeric.py
try:
a1, a2 = asarray(a1), asarray(a2)
except Exception:
return False
if a1.shape != a2.shape:
return False
print('aaa', type(a1), type(a2))
print(a1 == a2, "bbb")
return bool(asarray(a1 == a2).all())why a1 == a2 have core dump.
the numpy version is 1.13. i try it. have same error.
this example is right:
[GCC 4.8.2 20140120 (Red Hat 4.8.2-16)] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import numpy as np
>>> np.array_equal([1, 2], [1, 2])
aaa <class 'numpy.ndarray'> <class 'numpy.ndarray'>
[ True True] bbb
Truepython2 run same code is right.
Python 2.7.5 (default, Nov 6 2016, 00:28:07)
[GCC 4.8.5 20150623 (Red Hat 4.8.5-11)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import numpy as np
>>> np.__version__
'1.7.1'
>>>
Activity
charris commentedon Aug 10, 2017
Looks like #9532. Are you running in a virtual environment?
juliantaylor commentedon Sep 1, 2017
It is most likely a similar issue, we probably need an explicit sigill test.
BUG: verify the OS supports avx instruction