Cumprod

torch_cumprod(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.

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

Returns the cumulative product 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.

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

Examples

if (torch_is_installed()) { a = torch_randn(c(10)) a torch_cumprod(a, dim=1) }
#> torch_tensor #> 0.2321 #> -0.0050 #> -0.0106 #> -0.0145 #> 0.0002 #> -0.0004 #> -0.0002 #> 0.0000 #> -0.0000 #> 0.0000 #> [ CPUFloatType{10} ]