tfa.seq2seq.tile_batch

Tiles the batch dimension of a (possibly nested structure of) tensor(s).

tfa.seq2seq.tile_batch(
    t: tfa.types.TensorLike,
    multiplier: int,
    name: Optional[str] = None
) -> tf.Tensor

Used in the notebooks

Used in the tutorials
TensorFlow Addons Networks : Sequence-to-Sequence NMT with Attention Mechanism

For each tensor t in a (possibly nested structure) of tensors, this function takes a tensor t shaped [batch_size, s0, s1, ...] composed of minibatch entries t[0], ..., t[batch_size - 1] and tiles it to have a shape [batch_size * multiplier, s0, s1, ...] composed of minibatch entries t[0], t[0], ..., t[1], t[1], ... where each minibatch entry is repeated multiplier times.

Args
t	Tensor shaped [batch_size, ...].
multiplier	Python int.
name	Name scope for any created operations.

Returns
A (possibly nested structure of) Tensor shaped [batch_size * multiplier, ...].

Raises
ValueError	if tensor(s) t do not have a statically known rank or the rank is < 1.