tf.compat.v2.reverse_sequence
Reverses variable length slices.
tf.compat.v2.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 . |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/compat/v2/reverse_sequence