tf.compat.v1.reverse_sequence

Reverses variable length slices. (deprecated arguments) (deprecated arguments)

tf.compat.v1.reverse_sequence(
    input,
    seq_lengths,
    seq_axis=None,
    batch_axis=None,
    name=None,
    seq_dim=None,
    batch_dim=None
)

Deprecated: SOME ARGUMENTS ARE DEPRECATED: (seq_dim). They will be removed in a future version. Instructions for updating: seq_dim is deprecated, use seq_axis instead

Deprecated: SOME ARGUMENTS ARE DEPRECATED: (batch_dim). They will be removed in a future version. Instructions for updating: batch_dim is deprecated, use batch_axis instead

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_axis], and seq_lengths must be a vector of length input.dims[batch_axis].

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.

Example usage:

seq_lengths = [7, 2, 3, 5]
input = [[1, 2, 3, 4, 5, 0, 0, 0], [1, 2, 0, 0, 0, 0, 0, 0],
         [1, 2, 3, 4, 0, 0, 0, 0], [1, 2, 3, 4, 5, 6, 7, 8]]
output = tf.reverse_sequence(input, seq_lengths, seq_axis=1, batch_axis=0)
output
<tf.Tensor: shape=(4, 8), dtype=int32, numpy=
array([[0, 0, 5, 4, 3, 2, 1, 0],
       [2, 1, 0, 0, 0, 0, 0, 0],
       [3, 2, 1, 4, 0, 0, 0, 0],
       [5, 4, 3, 2, 1, 6, 7, 8]], dtype=int32)>

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_axis) and max(seq_lengths) <= input.dims(seq_axis)
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.