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### `tf.sparse_retain(sp_input, to_retain)` {#sparse_retain}
Retains specified non-empty values within a `SparseTensor`.
For example, if `sp_input` has shape `[4, 5]` and 4 non-empty string values:
[0, 1]: a
[0, 3]: b
[2, 0]: c
[3, 1]: d
and `to_retain = [True, False, False, True]`, then the output will
be a `SparseTensor` of shape `[4, 5]` with 2 non-empty values:
[0, 1]: a
[3, 1]: d
##### Args:
* <b>`sp_input`</b>: The input `SparseTensor` with `N` non-empty elements.
* <b>`to_retain`</b>: A bool vector of length `N` with `M` true values.
##### Returns:
A `SparseTensor` with the same shape as the input and `M` non-empty
elements corresponding to the true positions in `to_retain`.
##### Raises:
* <b>`TypeError`</b>: If `sp_input` is not a `SparseTensor`.
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