1 files changed, 48 insertions, 0 deletions
diff --git a/tensorflow/core/api_def/base_api/api_def_StringSplitV2.pbtxt b/tensorflow/core/api_def/base_api/api_def_StringSplitV2.pbtxt
new file mode 100644
index 0000000000..6e13d0d049
--- /dev/null
+++ b/tensorflow/core/api_def/base_api/api_def_StringSplitV2.pbtxt
@@ -0,0 +1,48 @@
+op {
+  graph_op_name: "StringSplitV2"
+  in_arg {
+    name: "input"
+    description: <<END
+`1-D` string `Tensor`, the strings to split.
+END
+  }
+  in_arg {
+    name: "sep"
+    description: <<END
+`0-D` string `Tensor`, the delimiter character.
+END
+  }
+  attr {
+    name: "maxsplit"
+    description: <<END
+An `int`. If `maxsplit > 0`, limit of the split of the result.
+END
+  }
+  summary: "Split elements of `source` based on `sep` into a `SparseTensor`."
+  description: <<END
+Let N be the size of source (typically N will be the batch size). Split each
+element of `source` based on `sep` and return a `SparseTensor`
+containing the split tokens. Empty tokens are ignored.
+
+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']
+```
+
+If `sep` is given, consecutive delimiters are not grouped together and are
+deemed to delimit empty strings. For example, source of `"1<>2<><>3"` and
+sep of `"<>"` returns `["1", "2", "", "3"]`. If `sep` is None or an empty
+string, consecutive whitespace are regarded as a single separator, and the
+result will contain no empty strings at the startor end if the string has
+leading or trailing whitespace.
+
+Note that the above mentioned behavior matches python's str.split.
+END
+}