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tfa.seq2seq.tile_batch
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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
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.
|
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Last updated 2023-05-25 UTC.
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