/*
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* Copyright (C) 2018 The Android Open Source Project
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*
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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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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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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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#include "utils/tflite/dist_diversification.h"
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#include "gmock/gmock.h"
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#include "gtest/gtest.h"
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#include "tensorflow/lite/interpreter.h"
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#include "tensorflow/lite/kernels/register.h"
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#include "tensorflow/lite/kernels/test_util.h"
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#include "tensorflow/lite/model.h"
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namespace libtextclassifier3 {
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namespace {
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class DistanceDiversificationOpModel : public tflite::SingleOpModel {
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public:
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explicit DistanceDiversificationOpModel(int matrix_rows);
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void SetDistanceMatrix(const std::initializer_list<float>& values) {
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PopulateTensor(distance_matrix_, values);
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}
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void SetNumOutput(int length) { PopulateTensor(num_results_, {length}); }
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void SetMinDistance(float min_distance) {
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PopulateTensor(min_distance_, {min_distance});
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}
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int GetOutputLen() { return ExtractVector<int>(output_len_).front(); }
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std::vector<int> GetOutputIndexes(int output_length) {
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auto res = ExtractVector<int>(output_indexes_);
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res.resize(output_length);
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return res;
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}
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private:
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int distance_matrix_;
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int num_results_;
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int min_distance_;
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int output_len_;
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int output_indexes_;
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};
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DistanceDiversificationOpModel::DistanceDiversificationOpModel(
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int matrix_rows) {
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distance_matrix_ = AddInput(tflite::TensorType_FLOAT32);
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min_distance_ = AddInput(tflite::TensorType_FLOAT32);
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num_results_ = AddInput(tflite::TensorType_INT32);
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output_indexes_ = AddOutput(tflite::TensorType_INT32);
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output_len_ = AddOutput(tflite::TensorType_INT32);
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SetCustomOp("DistanceDiversification", {},
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tflite::ops::custom::Register_DISTANCE_DIVERSIFICATION);
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BuildInterpreter({{matrix_rows, matrix_rows}, {1}, {1}});
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}
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// Tests
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TEST(DistanceDiversificationOp, Simple) {
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DistanceDiversificationOpModel m(5);
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m.SetDistanceMatrix({0.0, 0.1, 0.2, 0.3, 0.4, 0.1, 0.0, 0.1, 0.2,
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0.3, 0.2, 0.1, 0.0, 0.1, 0.2, 0.3, 0.2, 0.1,
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0.0, 0.1, 0.4, 0.3, 0.2, 0.1, 0.0});
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m.SetMinDistance(0.21);
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m.SetNumOutput(3);
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m.Invoke();
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const int output_length = m.GetOutputLen();
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EXPECT_EQ(output_length, 2);
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EXPECT_THAT(m.GetOutputIndexes(output_length), testing::ElementsAre(0, 3));
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}
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} // namespace
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} // namespace libtextclassifier3
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