nn_utils_rnn_pack_sequence: Packs a list of variable length Tensors

In torch: Tensors and Neural Networks with 'GPU' Acceleration

Packs a list of variable length Tensors

Description

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.

Usage

nn_utils_rnn_pack_sequence(sequences, enforce_sorted = TRUE)

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.

Value

a PackedSequence object

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))
}

torch documentation built on June 7, 2023, 6:19 p.m.