Cumsum

Usage

torch_cumsum(self, dim, dtype = NULL)

Arguments

self

(Tensor) the input tensor.

dim

(int) the dimension to do the operation over

dtype

(torch.dtype, optional) the desired data type of returned tensor. If specified, the input tensor is casted to dtype before the operation is performed. This is useful for preventing data type overflows. Default: NULL.

cumsum(input, dim, out=NULL, dtype=NULL) -> Tensor

Returns the cumulative sum of elements of input in the dimension dim.

For example, if input is a vector of size N, the result will also be a vector of size N, with elements.

$$ y_i = x_1 + x_2 + x_3 + \dots + x_i $$

Examples

if (torch_is_installed()) {

a = torch_randn(c(10))
a
torch_cumsum(a, dim=1)
}
#> torch_tensor
#> -0.2965
#> -0.3452
#> -0.8004
#> -3.0076
#> -2.8094
#> -4.1309
#> -3.9432
#> -3.6391
#> -3.9566
#> -4.7864
#> [ CPUFloatType{10} ]