`min`, `max` and `square` don't accept complex arrays
See original GitHub issueNumpy has a (somewhat strange) policy of ordering according to real part first, and then breaking ties according to the imaginary part. CuPy currently raises the following error:
>>> a = cupy.array([1j, 2, 3])
>>> cupy.min(a)
TypeError Traceback (most recent call last)
[...]/cupy/core/fusion.py in __call__(self, *args, **kwargs)
819 return self._numpy_op(*args, **kwargs)
820 else:
--> 821 return self._cupy_op(*args, **kwargs)
822
823
[...]/cupy/statistics/order.py in amin(a, axis, out, keepdims, dtype)
30 """
31 # TODO(okuta): check type
---> 32 return a.min(axis=axis, dtype=dtype, out=out, keepdims=keepdims)
33
34
[...]/cupy/core/core.pyx in cupy.core.core.ndarray.min()
[...]/cupy/core/core.pyx in cupy.core.core.ndarray.min()
[...]/cupy/core/reduction.pxi in cupy.core.core.simple_reduction_function.__call__()
[...]/cupy/core/elementwise.pxi in cupy.core.core._guess_routine()
TypeError: Wrong type ((<class 'numpy.complex128'>,)) of arguments for cupy_min
I don’t know if you want to follow Numpy here, but I guess a more specific error message would be a good thing in that case.
Issue Analytics
- State:
- Created 6 years ago
- Comments:5 (5 by maintainers)
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@kmaehashi this is fixed.
We implemented some ufunc for complex (#1281).