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authorGravatar Yu-Cheng Ling <ycling@google.com>2018-03-07 17:42:08 -0800
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2018-03-07 17:46:14 -0800
commit5594bc3c43f6829b7ea77f96852c98fb41e4deb2 (patch)
treea7d2f5771c1758ec5a2fbf69ebe79c8bab6d9693 /tensorflow/contrib/lite/util.h
parent9cdfd3878935fb6c3c2a5da7f65ee0db6c751170 (diff)
TFLite: Delegate Buffer Handle interface
PiperOrigin-RevId: 188263046
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+/* Copyright 2017 The TensorFlow Authors. 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.
+==============================================================================*/
+
+// This file provides general C++ utility functions in TFLite.
+// For example: Converting between `TfLiteIntArray`, `std::vector` and
+// Flatbuffer vectors. These functions can't live in `context.h` since it's pure
+// C.
+
+#ifndef TENSORFLOW_CONTRIB_LITE_UTIL_H_
+#define TENSORFLOW_CONTRIB_LITE_UTIL_H_
+
+#include <vector>
+#include "tensorflow/contrib/lite/context.h"
+
+namespace tflite {
+
+// Converts a `std::vector` to a `TfLiteIntArray`.
+TfLiteIntArray* ConvertVectorToTfLiteIntArray(const std::vector<int>& input);
+
+} // namespace tflite
+
+#endif // TENSORFLOW_CONTRIB_LITE_UTIL_H_