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+/* Copyright 2017 Google Inc. All Rights Reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+ http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+==============================================================================*/
+
+#include "tensorflow/core/kernels/fuzzing/fuzz_session.h"
+#include "tensorflow/cc/ops/standard_ops.h"
+
+namespace tensorflow {
+namespace fuzzing {
+
+class FuzzStringSplit : public FuzzSession {
+ void BuildGraph(const Scope& scope) override {
+ auto input =
+ tensorflow::ops::Placeholder(scope.WithOpName("input1"), DT_STRING);
+ auto delimeter =
+ tensorflow::ops::Placeholder(scope.WithOpName("input2"), DT_STRING);
+ std::ignore = tensorflow::ops::StringSplit(scope.WithOpName("output"),
+ input, delimeter);
+ }
+
+ void FuzzImpl(const uint8_t* data, size_t size) final {
+ Tensor input_tensor(tensorflow::DT_STRING, TensorShape({}));
+ Tensor delimeter_tensor(tensorflow::DT_STRING, TensorShape({}));
+
+ if (size > 0) {
+ // The spec for split is that the delimeter should be 0 or 1 characters.
+ // Naturally, fuzz it with something larger. (This omits the possibility
+ // of handing it a > int32_max size string, which should be tested for in
+ // an
+ // explicit test).
+ size_t delim_len = static_cast<size_t>(data[0]);
+ if (delim_len > size) {
+ delim_len = size - 1;
+ }
+ delimeter_tensor.scalar<string>()() =
+ string(reinterpret_cast<const char*>(data), delim_len);
+ input_tensor.scalar<string>()() = string(
+ reinterpret_cast<const char*>(data + delim_len), size - delim_len);
+ }
+
+ // TODO(b/32704451): Don't just ignore the ::tensorflow::Status object!
+ RunTwoInputs(input_tensor, delimeter_tensor).IgnoreError();
+ }
+};
+
+STANDARD_TF_FUZZ_FUNCTION(FuzzStringSplit);
+
+} // end namespace fuzzing
+} // end namespace tensorflow