tf.sparse.expand_dims

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

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Compat aliases for migration

See Migration guide for more details.

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.