`sequences`

should be a list of Tensors of size `L x *`

, where `L`

is
the length of a sequence and `*`

is any number of trailing dimensions,
including zero.

## Arguments

- sequences
`(list[Tensor])`

: A list of sequences of decreasing length.- enforce_sorted
(bool, optional): if

`TRUE`

, checks that the input contains sequences sorted by length in a decreasing order. If`FALSE`

, this condition is not checked. Default:`TRUE`

.

## Details

For unsorted sequences, use `enforce_sorted = FALSE`

. If `enforce_sorted`

is `TRUE`

, the sequences should be sorted in the order of decreasing length.
`enforce_sorted = TRUE`

is only necessary for ONNX export.

## Examples

```
if (torch_is_installed()) {
x <- torch_tensor(c(1, 2, 3), dtype = torch_long())
y <- torch_tensor(c(4, 5), dtype = torch_long())
z <- torch_tensor(c(6), dtype = torch_long())
p <- nn_utils_rnn_pack_sequence(list(x, y, z))
}
```