tf.sparse.to_dense

Converts a SparseTensor into a dense tensor.

Compat aliases for migration

See Migration guide for more details.

tf.sparse.to_dense(
    sp_input, default_value=None, validate_indices=True, name=None
)

This op is a convenience wrapper around sparse_to_dense for SparseTensors.

For example, if sp_input has shape [3, 5] and non-empty string values:

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

and default_value is x, then the output will be a dense [3, 5] string tensor with values:

[[x a x b x]
 [x x x x x]
 [c x x x x]]

Indices must be without repeats. This is only tested if validate_indices is True.

Args
`sp_input`	The input `SparseTensor`.
`default_value`	Scalar value to set for indices not specified in `sp_input`. Defaults to zero.
`validate_indices`	A boolean value. If `True`, indices are checked to make sure they are sorted in lexicographic order and that there are no repeats.
`name`	A name prefix for the returned tensors (optional).

Returns
A dense tensor with shape `sp_input.dense_shape` and values specified by the non-empty values in `sp_input`. Indices not in `sp_input` are assigned `default_value`.

Raises
`TypeError`	If `sp_input` is not a `SparseTensor`.

Args