-
Notifications
You must be signed in to change notification settings - Fork 836
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
feat: add fixed-capacity, statically-allocated type tflite::StaticVec…
…tor (#2642) Add a type, tflite::StaticVector, which behaves like std::vector, but which avoids heap memory allocation. BUG=#2636
- Loading branch information
Showing
3 changed files
with
186 additions
and
0 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,83 @@ | ||
// Copyright 2024 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. | ||
|
||
#ifndef TENSORFLOW_LITE_MICRO_STATIC_VECTOR_H_ | ||
#define TENSORFLOW_LITE_MICRO_STATIC_VECTOR_H_ | ||
|
||
#include <array> | ||
#include <cassert> | ||
#include <cstddef> | ||
|
||
#include "tensorflow/lite/kernels/op_macros.h" // for TF_LITE_ASSERT | ||
|
||
namespace tflite { | ||
|
||
template <typename T, std::size_t MaxSize> | ||
class StaticVector { | ||
// A staticlly-allocated vector. Add to the interface as needed. | ||
|
||
private: | ||
std::array<T, MaxSize> array_; | ||
std::size_t size_{0}; | ||
|
||
public: | ||
using iterator = typename decltype(array_)::iterator; | ||
using const_iterator = typename decltype(array_)::const_iterator; | ||
using pointer = typename decltype(array_)::pointer; | ||
using reference = typename decltype(array_)::reference; | ||
using const_reference = typename decltype(array_)::const_reference; | ||
|
||
StaticVector() {} | ||
|
||
StaticVector(std::initializer_list<T> values) { | ||
for (const T& v : values) { | ||
push_back(v); | ||
} | ||
} | ||
|
||
static constexpr std::size_t max_size() { return MaxSize; } | ||
std::size_t size() const { return size_; } | ||
bool full() const { return size() == max_size(); } | ||
iterator begin() { return array_.begin(); } | ||
const_iterator begin() const { return array_.begin(); } | ||
iterator end() { return begin() + size(); } | ||
const_iterator end() const { return begin() + size(); } | ||
pointer data() { return array_.data(); } | ||
reference operator[](int i) { return array_[i]; } | ||
const_reference operator[](int i) const { return array_[i]; } | ||
void clear() { size_ = 0; } | ||
|
||
template <std::size_t N> | ||
bool operator==(const StaticVector<T, N>& other) const { | ||
return std::equal(begin(), end(), other.begin(), other.end()); | ||
} | ||
|
||
template <std::size_t N> | ||
bool operator!=(const StaticVector<T, N>& other) const { | ||
return !(*this == other); | ||
} | ||
|
||
void push_back(const T& t) { | ||
TF_LITE_ASSERT(!full()); | ||
*end() = t; | ||
++size_; | ||
} | ||
}; | ||
|
||
template <typename T, typename... U> | ||
StaticVector(T, U...) -> StaticVector<T, 1 + sizeof...(U)>; | ||
|
||
} // end namespace tflite | ||
|
||
#endif // TENSORFLOW_LITE_MICRO_STATIC_VECTOR_H_ |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,82 @@ | ||
// Copyright 2024 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. | ||
|
||
#include "tensorflow/lite/micro/static_vector.h" | ||
|
||
#include "tensorflow/lite/micro/testing/micro_test.h" | ||
|
||
using tflite::StaticVector; | ||
|
||
TF_LITE_MICRO_TESTS_BEGIN | ||
|
||
TF_LITE_MICRO_TEST(StaticVectorPushBack) { | ||
StaticVector<int, 4> a; | ||
TF_LITE_MICRO_EXPECT(a.max_size() == 4); | ||
TF_LITE_MICRO_EXPECT(a.size() == 0); | ||
|
||
a.push_back(1); | ||
TF_LITE_MICRO_EXPECT(a.size() == 1); | ||
TF_LITE_MICRO_EXPECT(a[0] == 1); | ||
|
||
a.push_back(2); | ||
TF_LITE_MICRO_EXPECT(a.size() == 2); | ||
TF_LITE_MICRO_EXPECT(a[1] == 2); | ||
|
||
a.push_back(3); | ||
TF_LITE_MICRO_EXPECT(a.size() == 3); | ||
TF_LITE_MICRO_EXPECT(a[2] == 3); | ||
} | ||
|
||
TF_LITE_MICRO_TEST(StaticVectorInitializationPartial) { | ||
const StaticVector<int, 4> a{1, 2, 3}; | ||
TF_LITE_MICRO_EXPECT(a.max_size() == 4); | ||
TF_LITE_MICRO_EXPECT(a.size() == 3); | ||
TF_LITE_MICRO_EXPECT(a[0] == 1); | ||
TF_LITE_MICRO_EXPECT(a[1] == 2); | ||
TF_LITE_MICRO_EXPECT(a[2] == 3); | ||
} | ||
|
||
TF_LITE_MICRO_TEST(StaticVectorInitializationFull) { | ||
const StaticVector b{1, 2, 3}; | ||
TF_LITE_MICRO_EXPECT(b.max_size() == 3); | ||
TF_LITE_MICRO_EXPECT(b.size() == 3); | ||
} | ||
|
||
TF_LITE_MICRO_TEST(StaticVectorEquality) { | ||
const StaticVector a{1, 2, 3}; | ||
const StaticVector b{1, 2, 3}; | ||
TF_LITE_MICRO_EXPECT(a == b); | ||
TF_LITE_MICRO_EXPECT(!(a != b)); | ||
} | ||
|
||
TF_LITE_MICRO_TEST(StaticVectorInequality) { | ||
const StaticVector a{1, 2, 3}; | ||
const StaticVector b{3, 2, 1}; | ||
TF_LITE_MICRO_EXPECT(a != b); | ||
TF_LITE_MICRO_EXPECT(!(a == b)); | ||
} | ||
|
||
TF_LITE_MICRO_TEST(StaticVectorSizeInequality) { | ||
const StaticVector a{1, 2}; | ||
const StaticVector b{1, 2, 3}; | ||
TF_LITE_MICRO_EXPECT(a != b); | ||
} | ||
|
||
TF_LITE_MICRO_TEST(StaticVectorPartialSizeInequality) { | ||
const StaticVector<int, 3> a{1, 2}; | ||
const StaticVector<int, 3> b{1, 2, 3}; | ||
TF_LITE_MICRO_EXPECT(a != b); | ||
} | ||
|
||
TF_LITE_MICRO_TESTS_END |