Computes the log-leave-one-out-sum of exp(logx).
tfp.stats.log_loosum_exp(
logx, axis=None, keepdims=False, name=None
)
Args |
|---|
logx
|
Floating-type Tensor representing log(x) where x is some
positive value.
|
axis
|
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).
|
keepdims
|
If true, retains reduced dimensions with length 1.
Default value: False (i.e., keep all dims in log_sum_x).
|
name
|
Python str name prefixed to Ops created by this function.
Default value: None (i.e., "log_loosum_exp").
|
Returns |
|---|
log_loosum_exp
|
Tensor with same shape and dtype as logx representing
the natural-log of the sum of exp(logx) except that the element
logx[i] is removed.
|
log_sum_x
|
logx.dtype Tensor corresponding to the natural-log of the
sum of exp(logx). Has reduced shape of logx (per axis and
keepdims).
|
View source on GitHub