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### `tf.string_split(source, delimiter=' ')` {#string_split}
Split elements of `source` based on `delimiter` into a `SparseTensor`.
Let N be the size of source (typically N will be the batch size). Split each
element of `source` based on `delimiter` and return a `SparseTensor`
containing the splitted tokens. Empty tokens are ignored.
If `delimiter` is an empty string, each element of the `source` is split
into individual strings, each containing one byte. (This includes splitting
multibyte sequences of UTF-8.) If delimiter contains multiple bytes, it is
treated as a set of delimiters with each considered a potential split point.
For example:
N = 2, source[0] is 'hello world' and source[1] is 'a b c', then the output
will be
st.indices = [0, 0;
0, 1;
1, 0;
1, 1;
1, 2]
st.shape = [2, 3]
st.values = ['hello', 'world', 'a', 'b', 'c']
##### Args:
* <b>`source`</b>: `1-D` string `Tensor`, the strings to split.
* <b>`delimiter`</b>: `0-D` string `Tensor`, the delimiter character, the string should
be length 0 or 1.
##### Raises:
* <b>`ValueError`</b>: If delimiter is not a string.
##### Returns:
A `SparseTensor` of rank `2`, the strings split according to the delimiter.
The first column of the indices corresponds to the row in `source` and the
second column corresponds to the index of the split component in this row.
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