haojin2 commented on a change in pull request #15857: [Numpy] Added operator
logaddexp; added support for zero-size tensor in BinaryBroadcastBackwardUseIn
URL: https://github.com/apache/incubator-mxnet/pull/15857#discussion_r314497609
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File path: python/mxnet/ndarray/numpy/_op.py
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@@ -293,3 +293,51 @@ def power(x1, x2, out=None):
This is a scalar if both x1 and x2 are scalars.
"""
return _ufunc_helper(x1, x2, _npi.power, _np.power, _npi.power_scalar,
_npi.rpower_scalar, out)
+
+
+@set_module('mxnet.ndarray.numpy')
+def logaddexp(x1, x2, out=None):
+ """Logarithm of the sum of exponentiations of the inputs.
+ logaddexp(x1, x2, out=None)
+ Calculates ``log(exp(x1) + exp(x2))``. This function is useful in
+ statistics where the calculated probabilities of events may be so small
+ as to exceed the range of normal floating point numbers. In such cases
+ the logarithm of the calculated probability is stored. This function
+ allows adding probabilities stored in such a fashion.
+ Parameters
+ ----------
+ x1, x2 : ndarray or scalar
+ Input values.
+ out : ndarray, None, or tuple of ndarray and None, optional
+ A location into which the result is stored. If provided, it must have
+ a shape and dtype as the expected output. If not provided or `None`,
+ a freshly-allocated array is returned.
+ Returns
+ -------
+ result : ndarray or scalar
+ Logarithm of ``exp(x1) + exp(x2)``.
+ This is a scalar if both `x1` and `x2` are scalars.
+ See Also
+ --------
+ logaddexp2: Logarithm of the sum of exponentiations of inputs in base 2.
+ Notes
+ -----
+ This function differs from the original `numpy.logaddexp2
+
<https://docs.scipy.org/doc/numpy/reference/generated/numpy.logaddexp2.html>`_
in
Review comment:
Same for the link.
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