Mode

## Arguments

- self
(Tensor) the input tensor.

- dim
(int) the dimension to reduce.

- keepdim
(bool) whether the output tensor has

`dim`

retained or not.

## mode(input, dim=-1, keepdim=False, out=NULL) -> (Tensor, LongTensor)

Returns a namedtuple `(values, indices)`

where `values`

is the mode
value of each row of the `input`

tensor in the given dimension
`dim`

, i.e. a value which appears most often
in that row, and `indices`

is the index location of each mode value found.

By default, `dim`

is the last dimension of the `input`

tensor.

If `keepdim`

is `TRUE`

, the output tensors are of the same size as
`input`

except in the dimension `dim`

where they are of size 1.
Otherwise, `dim`

is squeezed (see `torch_squeeze`

), resulting
in the output tensors having 1 fewer dimension than `input`

.

## Examples

```
if (torch_is_installed()) {
a = torch_randint(0, 50, size = list(5))
a
torch_mode(a, 1)
}
#> [[1]]
#> torch_tensor
#> 5
#> [ CPUFloatType{} ]
#>
#> [[2]]
#> torch_tensor
#> 2
#> [ CPULongType{} ]
#>
```