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Reorders a SparseTensor into the canonical, row-major ordering.
tf.sparse.reorder(
sp_input, name=None
)
Used in the notebooks
| Used in the tutorials |
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Note that by convention, all sparse ops preserve the canonical ordering along increasing dimension number. The only time ordering can be violated is during manual manipulation of the indices and values to add entries.
Reordering does not affect the shape of the SparseTensor.
For example, if sp_input has shape [4, 5] and indices / values:
[0, 3]: b
[0, 1]: a
[3, 1]: d
[2, 0]: c
then the output will be a SparseTensor of shape [4, 5] and
indices / values:
[0, 1]: a
[0, 3]: b
[2, 0]: c
[3, 1]: d
Args | |
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sp_input
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The input SparseTensor.
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name
|
A name prefix for the returned tensors (optional) |
Returns | |
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A SparseTensor with the same shape and non-empty values, but in
canonical ordering.
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Raises | |
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TypeError
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If sp_input is not a SparseTensor.
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