tf.sparse.transpose

Transposes a SparseTensor

View aliases

Compat aliases for migration

tf.compat.v1.sparse.transpose, tf.compat.v1.sparse_transpose, tf.compat.v2.sparse.transpose

tf.sparse.transpose(
    sp_input, perm=None, name=None
)

The returned tensor's dimension i will correspond to the input dimension perm[i]. If perm is not given, it is set to (n-1...0), where n is the rank of the input tensor. Hence by default, this operation performs a regular matrix transpose on 2-D input Tensors.

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 [5, 4] and indices / values:

[0, 2]: c
[1, 0]: a
[1, 3]: d
[3, 0]: b

Args:

sp_input: The input SparseTensor.
perm: A permutation of the dimensions of sp_input.
name: A name prefix for the returned tensors (optional)

Returns:

A transposed SparseTensor.

Raises:

TypeError: If sp_input is not a SparseTensor.