Computes log(sum(exp(elements across dimensions of a tensor))).

This function is more numerically stable than log(sum(exp(x))). It avoids overflows caused by taking the exp of large inputs and underflows caused by taking the log of small inputs.

k_logsumexp(x, axis = NULL, keepdims = FALSE)

Arguments

x	A tensor or variable.
axis	An integer, the axis to reduce over (axis indexes are 1-based).
keepdims	A boolean, whether to keep the dimensions or not. If `keepdims` is `FALSE`, the rank of the tensor is reduced by 1. If `keepdims` is `TRUE`, the reduced dimension is retained with length 1.

Value

The reduced tensor.

Keras Backend

This function is part of a set of Keras backend functions that enable lower level access to the core operations of the backend tensor engine (e.g. TensorFlow, CNTK, Theano, etc.).

You can see a list of all available backend functions here: https://keras.rstudio.com/articles/backend.html#backend-functions.