def nanmin(a, axis=None, out=None, keepdims=False):
"""Returns the minimum of an array along an axis ignoring NaN.
When there is a slice whose elements are all NaN, a :class:`RuntimeWarning`
is raised and NaN is returned.
Args:
a (cupy.ndarray): Array to take the minimum.
axis (int): Along which axis to take the minimum. The flattened array
is used by default.
out (cupy.ndarray): Output array.
keepdims (bool): If ``True``, the axis is remained as an axis of
size one.
Returns:
cupy.ndarray: The minimum of ``a``, along the axis if specified.
.. warning::
This function may synchronize the device.
.. seealso:: :func:`numpy.nanmin`
"""
# TODO(niboshi): Avoid synchronization.
res = core.nanmin(a, axis=axis, out=out, keepdims=keepdims)
if content.isnan(res).any(): # synchronize!
warnings.warn('All-NaN slice encountered', RuntimeWarning)
return res
def nanmin(a, axis=None, out=None, keepdims=False):
"""Returns the minimum of an array along an axis ignoring NaN.
When there is a slice whose elements are all NaN, a :class:`RuntimeWarning`
is raised and NaN is returned.
Args:
a (cupy.ndarray): Array to take the minimum.
axis (int): Along which axis to take the minimum. The flattened array
is used by default.
out (cupy.ndarray): Output array.
keepdims (bool): If ``True``, the axis is remained as an axis of
size one.
Returns:
cupy.ndarray: The minimum of ``a``, along the axis if specified.
.. seealso:: :func:`numpy.nanmin`
"""
res = core.nanmin(a, axis=axis, out=out, keepdims=keepdims)
if content.isnan(res).any():
warnings.warn('All-NaN slice encountered', RuntimeWarning)
return res
