szha 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_r331834259
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File path: python/mxnet/ndarray/numpy/_op.py
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@@ -2537,3 +2537,51 @@ def ravel(x, order='C'):
return _npi.reshape(x, -1)
else:
raise TypeError('type {} not supported'.format(str(type(x))))
+
+
+@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
Review comment:
new line above. and fix indentation
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