The swapped out element logx[i] is replaced with the log-leave-i-out
geometric mean of logx.
Floating-type Tensor representing log(x) where x is some
The dimensions to sum across. If None (the default), reduces all
dimensions. Must be in the range [-rank(logx), rank(logx)].
Default value: None (i.e., reduce over all dims).
If true, retains reduced dimensions with length 1.
Default value: False (i.e., keep all dims in log_mean_x).
Python str name prefixed to Ops created by this function.
Default value: None (i.e., "log_soomean_exp").
Tensor` with same shape and dtype as `logx` representing
the natural-log of the average of `x except that the element logx[i]
is replaced with the log of the leave-i-out Geometric-average. The mean
of the gradient of log_soomean_x is 1. Mathematically log_soomean_x