Pad a list of variable length Tensors with padding_value
pad_sequence stacks a list of Tensors along a new dimension,
and pads them to equal length. For example, if the input is list of
sequences with size L x * and if batch_first is False, and T x B x *
otherwise.
nn_utils_rnn_pad_sequence(sequences, batch_first = FALSE, padding_value = 0)
sequences |
|
batch_first |
(bool, optional): output will be in |
padding_value |
(float, optional): value for padded elements. Default: 0. |
B is batch size. It is equal to the number of elements in sequences.
T is length of the longest sequence.
L is length of the sequence.
* is any number of trailing dimensions, including none.
Tensor of size T x B x * if batch_first is FALSE.
Tensor of size B x T x * otherwise
This function returns a Tensor of size T x B x * or B x T x *
where T is the length of the longest sequence. This function assumes
trailing dimensions and type of all the Tensors in sequences are same.
if (torch_is_installed()) {
a <- torch_ones(25, 300)
b <- torch_ones(22, 300)
c <- torch_ones(15, 300)
nn_utils_rnn_pad_sequence(list(a, b, c))$size()
}Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.