Nansum
Source:R/gen-namespace-docs.R, R/gen-namespace-examples.R, R/gen-namespace.R
torch_nansum.RdNansum
Arguments
- self
(Tensor) the input tensor.
- dim
(int or tuple of ints) the dimension or dimensions to reduce.
- keepdim
(bool) whether the output tensor has
dimretained or not.- dtype
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.
nansum(input, *, dtype=None) -> Tensor
Returns the sum of all elements, treating Not a Numbers (NaNs) as zero.
nansum(input, dim, keepdim=FALSE, *, dtype=None) -> Tensor
Returns the sum of each row of the input tensor in the given
dimension dim, treating Not a Numbers (NaNs) as zero.
If dim is a list of dimensions, reduce over all of them.
If keepdim is TRUE, the output tensor is of the same size
as input except in the dimension(s) dim where it is of size 1.
Otherwise, dim is squeezed (see torch_squeeze), resulting in the
output tensor having 1 (or len(dim)) fewer dimension(s).
Examples
if (torch_is_installed()) {
a <- torch_tensor(c(1., 2., NaN, 4.))
torch_nansum(a)
torch_nansum(torch_tensor(c(1., NaN)))
a <- torch_tensor(rbind(c(1, 2), c(3., NaN)))
torch_nansum(a)
torch_nansum(a, dim=1)
torch_nansum(a, dim=2)
}
#> torch_tensor
#> 3
#> 3
#> [ CPUFloatType{2} ]