tf.sparse.reorder

Reorders a SparseTensor into the canonical, row-major ordering.

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.sparse.reorder, tf.compat.v1.sparse_reorder

 
tf.sparse.reorder(
    sp_input, name=None
)

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

sp_input The input SparseTensor.
name A name prefix for the returned tensors (optional)

A SparseTensor with the same shape and non-empty values, but in canonical ordering.

TypeError If sp_input is not a SparseTensor.