52 lines
1.9 KiB
C++
52 lines
1.9 KiB
C++
/* Copyright 2017 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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// This provides a few C++ helpers that are useful for manipulating C structures
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// in C++.
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#ifndef TENSORFLOW_LITE_CONTEXT_UTIL_H_
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#define TENSORFLOW_LITE_CONTEXT_UTIL_H_
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#include <stddef.h>
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#include "tensorflow/lite/c/common.h"
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namespace tflite {
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// Provide a range iterable wrapper for TfLiteIntArray* (C lists that TfLite
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// C api uses. Can't use the google array_view, since we can't depend on even
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// absl for embedded device reasons.
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class TfLiteIntArrayView {
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public:
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// Construct a view of a TfLiteIntArray*. Note, `int_array` should be non-null
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// and this view does not take ownership of it.
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explicit TfLiteIntArrayView(const TfLiteIntArray* int_array)
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: int_array_(int_array) {}
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TfLiteIntArrayView(const TfLiteIntArrayView&) = default;
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TfLiteIntArrayView& operator=(const TfLiteIntArrayView& rhs) = default;
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typedef const int* const_iterator;
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const_iterator begin() const { return int_array_->data; }
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const_iterator end() const { return &int_array_->data[int_array_->size]; }
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size_t size() const { return end() - begin(); }
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int operator[](size_t pos) const { return int_array_->data[pos]; }
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private:
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const TfLiteIntArray* int_array_;
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};
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} // namespace tflite
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#endif // TENSORFLOW_LITE_CONTEXT_UTIL_H_
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