Mean

## 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 resulting data type.

## mean(input, dim, keepdim=False, out=NULL) -> Tensor

Returns the mean value of each row of the `input`

tensor in the given
dimension `dim`

. 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_randn(c(1, 3))
a
torch_mean(a)
a = torch_randn(c(4, 4))
a
torch_mean(a, 1)
torch_mean(a, 1, TRUE)
}
#> torch_tensor
#> 0.6652 0.2481 0.0454 -1.3922
#> [ CPUFloatType{1,4} ]
```