tf.sparse.expand_dims

Inserts a dimension of 1 into a tensor's shape.

View aliases

Compat aliases for migration

tf.compat.v1.sparse.expand_dims, tf.compat.v2.sparse.expand_dims

tf.sparse.expand_dims(
    sp_input, axis=None, name=None
)

Given a tensor sp_input, this operation inserts a dimension of 1 at the dimension index axis of sp_input's shape. The dimension index axis starts at zero; if you specify a negative number for axis it is counted backwards from the end.

Args:

sp_input: A SparseTensor.
axis: 0-D (scalar). Specifies the dimension index at which to expand the shape of input. Must be in the range [-rank(sp_input) - 1, rank(sp_input)].
name: The name of the output SparseTensor.

Returns:

A SparseTensor with the same data as sp_input, but its shape has an additional dimension of size 1 added.