TensorFlow 1 version | View source on GitHub |
Reverses variable length slices.
tf.reverse_sequence(
input, seq_lengths, seq_axis=None, batch_axis=None, name=None
)
This op first slices input
along the dimension batch_axis
, and for each
slice i
, reverses the first seq_lengths[i]
elements along
the dimension seq_axis
.
The elements of seq_lengths
must obey seq_lengths[i] <= input.dims[seq_dim]
,
and seq_lengths
must be a vector of length input.dims[batch_dim]
.
The output slice i
along dimension batch_axis
is then given by input
slice i
, with the first seq_lengths[i]
slices along dimension
seq_axis
reversed.
For example:
# Given this:
batch_dim = 0
seq_dim = 1
input.dims = (4, 8, ...)
seq_lengths = [7, 2, 3, 5]
# then slices of input are reversed on seq_dim, but only up to seq_lengths:
output[0, 0:7, :, ...] = input[0, 7:0:-1, :, ...]
output[1, 0:2, :, ...] = input[1, 2:0:-1, :, ...]
output[2, 0:3, :, ...] = input[2, 3:0:-1, :, ...]
output[3, 0:5, :, ...] = input[3, 5:0:-1, :, ...]
# while entries past seq_lens are copied through:
output[0, 7:, :, ...] = input[0, 7:, :, ...]
output[1, 2:, :, ...] = input[1, 2:, :, ...]
output[2, 3:, :, ...] = input[2, 3:, :, ...]
output[3, 2:, :, ...] = input[3, 2:, :, ...]
In contrast, if:
# Given this:
batch_dim = 2
seq_dim = 0
input.dims = (8, ?, 4, ...)
seq_lengths = [7, 2, 3, 5]
# then slices of input are reversed on seq_dim, but only up to seq_lengths:
output[0:7, :, 0, :, ...] = input[7:0:-1, :, 0, :, ...]
output[0:2, :, 1, :, ...] = input[2:0:-1, :, 1, :, ...]
output[0:3, :, 2, :, ...] = input[3:0:-1, :, 2, :, ...]
output[0:5, :, 3, :, ...] = input[5:0:-1, :, 3, :, ...]
# while entries past seq_lens are copied through:
output[7:, :, 0, :, ...] = input[7:, :, 0, :, ...]
output[2:, :, 1, :, ...] = input[2:, :, 1, :, ...]
output[3:, :, 2, :, ...] = input[3:, :, 2, :, ...]
output[2:, :, 3, :, ...] = input[2:, :, 3, :, ...]
Args | |
---|---|
input
|
A Tensor . The input to reverse.
|
seq_lengths
|
A Tensor . Must be one of the following types: int32 , int64 .
1-D with length input.dims(batch_dim) and
max(seq_lengths) <= input.dims(seq_dim)
|
seq_axis
|
An int . The dimension which is partially reversed.
|
batch_axis
|
An optional int . Defaults to 0 .
The dimension along which reversal is performed.
|
name
|
A name for the operation (optional). |
Returns | |
---|---|
A Tensor . Has the same type as input .
|