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tf.ragged.stack

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Stacks a list of rank-R tensors into one rank-(R+1) RaggedTensor.

Given a list of tensors or ragged tensors with the same rank R (R >= axis), returns a rank-R+1 RaggedTensor result such that result[i0...iaxis] is [value[i0...iaxis] for value in values].

Example:

>>> t1 = tf.ragged.constant([[1, 2], [3, 4, 5]])
>>> t2 = tf.ragged.constant([[6], [7, 8, 9]])
>>> tf.ragged.stack([t1, t2], axis=0)
[[[1, 2], [3, 4, 5]], [[6], [7, 9, 0]]]
>>> tf.ragged.stack([t1, t2], axis=1)
[[[1, 2], [6]], [[3, 4, 5], [7, 8, 9]]]
Args
values A list of tf.Tensor or tf.RaggedTensor. May not be empty. All values must have the same rank and the same dtype; but unlike tf.stack, they can have arbitrary dimension sizes.
axis A python integer, indicating the dimension along which to stack. (Note: Unlike tf.stack, the axis parameter must be statically known.) Negative values are supported only if the rank of at least one values value is statically known.
name A name prefix for the returned tensor (optional).
Returns
A RaggedTensor with rank R+1. result.ragged_rank=1+max(axis, max(rt.ragged_rank for rt in values])).
Raises
ValueError If values is empty, if axis is out of bounds or if the input tensors have different ranks.

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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/ragged/stack