1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
|
/*
* Copyright (C) 2018 The Android Open Source Project
*
* 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 "utils/tflite/dist_diversification.h"
#include "gmock/gmock.h"
#include "gtest/gtest.h"
#include "tensorflow/lite/interpreter.h"
#include "tensorflow/lite/kernels/register.h"
#include "tensorflow/lite/kernels/test_util.h"
#include "tensorflow/lite/model.h"
namespace libtextclassifier3 {
namespace {
class DistanceDiversificationOpModel : public tflite::SingleOpModel {
public:
explicit DistanceDiversificationOpModel(int matrix_rows);
void SetDistanceMatrix(const std::initializer_list<float>& values) {
PopulateTensor(distance_matrix_, values);
}
void SetNumOutput(int length) { PopulateTensor(num_results_, {length}); }
void SetMinDistance(float min_distance) {
PopulateTensor(min_distance_, {min_distance});
}
int GetOutputLen() { return ExtractVector<int>(output_len_).front(); }
std::vector<int> GetOutputIndexes(int output_length) {
auto res = ExtractVector<int>(output_indexes_);
res.resize(output_length);
return res;
}
private:
int distance_matrix_;
int num_results_;
int min_distance_;
int output_len_;
int output_indexes_;
};
DistanceDiversificationOpModel::DistanceDiversificationOpModel(
int matrix_rows) {
distance_matrix_ = AddInput(tflite::TensorType_FLOAT32);
min_distance_ = AddInput(tflite::TensorType_FLOAT32);
num_results_ = AddInput(tflite::TensorType_INT32);
output_indexes_ = AddOutput(tflite::TensorType_INT32);
output_len_ = AddOutput(tflite::TensorType_INT32);
SetCustomOp("DistanceDiversification", {},
tflite::ops::custom::Register_DISTANCE_DIVERSIFICATION);
BuildInterpreter({{matrix_rows, matrix_rows}, {1}, {1}});
}
// Tests
TEST(DistanceDiversificationOp, Simple) {
DistanceDiversificationOpModel m(5);
m.SetDistanceMatrix({0.0, 0.1, 0.2, 0.3, 0.4, 0.1, 0.0, 0.1, 0.2,
0.3, 0.2, 0.1, 0.0, 0.1, 0.2, 0.3, 0.2, 0.1,
0.0, 0.1, 0.4, 0.3, 0.2, 0.1, 0.0});
m.SetMinDistance(0.21);
m.SetNumOutput(3);
m.Invoke();
const int output_length = m.GetOutputLen();
EXPECT_EQ(output_length, 2);
EXPECT_THAT(m.GetOutputIndexes(output_length), testing::ElementsAre(0, 3));
}
} // namespace
} // namespace libtextclassifier3
|
