# Nansum

Source:`R/gen-namespace-docs.R`

, `R/gen-namespace-examples.R`

, `R/gen-namespace.R`

`torch_nansum.Rd`

Nansum

## 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

`dim`

retained 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} ]
```