Logcumsumexp

Usage

torch_logcumsumexp(self, dim)

Arguments

self

(Tensor) the input tensor.

dim

(int) the dimension to do the operation over

logcumsumexp(input, dim, *, out=None) -> Tensor

Returns the logarithm of the cumulative summation of the exponentiation of elements of input in the dimension dim.

For summation index $j$ given by dim and other indices $i$, the result is

$$\text{logcumsumexp}(x{)}_{ij}=\log \sum _{j=0}^i\exp (x_{ij})$$

Examples

if (torch_is_installed()) {

a <- torch_randn(c(10))
torch_logcumsumexp(a, dim=1)
}
#> torch_tensor
#>  0.9688
#>  1.1071
#>  1.9102
#>  1.9969
#>  2.1436
#>  2.5344
#>  2.5822
#>  2.6182
#>  2.7154
#>  2.9387
#> [ CPUFloatType{10} ]