# Diagonal

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

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

, `R/gen-namespace.R`

`torch_diagonal.Rd`

Diagonal

## Arguments

- self
(Tensor) the input tensor. Must be at least 2-dimensional.

- outdim
dimension name if

`self`

is a named tensor.- dim1
(int, optional) first dimension with respect to which to take diagonal. Default: 0.

- dim2
(int, optional) second dimension with respect to which to take diagonal. Default: 1.

- offset
(int, optional) which diagonal to consider. Default: 0 (main diagonal).

## diagonal(input, offset=0, dim1=0, dim2=1) -> Tensor

Returns a partial view of `input`

with the its diagonal elements
with respect to `dim1`

and `dim2`

appended as a dimension
at the end of the shape.

The argument `offset`

controls which diagonal to consider:

If

`offset`

= 0, it is the main diagonal.If

`offset`

> 0, it is above the main diagonal.If

`offset`

< 0, it is below the main diagonal.

Applying `torch_diag_embed`

to the output of this function with
the same arguments yields a diagonal matrix with the diagonal entries
of the input. However, `torch_diag_embed`

has different default
dimensions, so those need to be explicitly specified.

## Examples

```
if (torch_is_installed()) {
a = torch_randn(c(3, 3))
a
torch_diagonal(a, offset = 0)
torch_diagonal(a, offset = 1)
x = torch_randn(c(2, 5, 4, 2))
torch_diagonal(x, offset=-1, dim1=1, dim2=2)
}
#> torch_tensor
#> (1,.,.) =
#> -0.0556
#> 2.1273
#>
#> (2,.,.) =
#> -1.3941
#> -0.1630
#>
#> (3,.,.) =
#> 1.1803
#> 0.9153
#>
#> (4,.,.) =
#> -0.2713
#> -0.1082
#> [ CPUFloatType{4,2,1} ]
```