tf.sparse.expand_dims

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

Defined in tensorflow/python/ops/sparse_ops.py.

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

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.