Nonzero elements of tensors.

## Arguments

- self
(Tensor) the input tensor.

- as_list
If

`FALSE`

, the output tensor containing indices. If`TRUE`

, one 1-D tensor for each dimension, containing the indices of each nonzero element along that dimension.**When**`as_list`

**is**:`FALSE`

(default)Returns a tensor containing the indices of all non-zero elements of

`input`

. Each row in the result contains the indices of a non-zero element in`input`

. The result is sorted lexicographically, with the last index changing the fastest (C-style).If

`input`

has \(n\) dimensions, then the resulting indices tensor`out`

is of size \((z \times n)\), where \(z\) is the total number of non-zero elements in the`input`

tensor.**When**`as_list`

**is**:`TRUE`

Returns a tuple of 1-D tensors, one for each dimension in

`input`

, each containing the indices (in that dimension) of all non-zero elements of`input`

.If

`input`

has \(n\) dimensions, then the resulting tuple contains \(n\) tensors of size \(z\), where \(z\) is the total number of non-zero elements in the`input`

tensor.As a special case, when

`input`

has zero dimensions and a nonzero scalar value, it is treated as a one-dimensional tensor with one element.

## Examples

```
if (torch_is_installed()) {
torch_nonzero(torch_tensor(c(1, 1, 1, 0, 1)))
}
#> torch_tensor
#> 1
#> 2
#> 3
#> 5
#> [ CPULongType{4,1} ]
```