/*
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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 <vector>
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#include "utils/tflite/token_encoder.h"
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#include "gtest/gtest.h"
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#include "third_party/absl/flags/flag.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 TokenEncoderOpModel : public tflite::SingleOpModel {
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public:
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TokenEncoderOpModel(std::initializer_list<int> input_shape,
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std::initializer_list<int> attribute_shape);
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void SetNumTokens(const std::initializer_list<int>& num_tokens) {
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PopulateTensor(input_num_tokens_, num_tokens);
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PopulateTensor(input_length_, {static_cast<int32_t>(num_tokens.size())});
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}
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void SetMaxOutputLength(int length) {
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PopulateTensor(input_output_maxlength_, {length});
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}
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void SetInt32Attribute(const std::initializer_list<int>& attribute) {
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PopulateTensor(input_attributes_int32_, attribute);
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}
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void SetFloatAttribute(const std::initializer_list<float>& attribute) {
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PopulateTensor(input_attributes_float_, attribute);
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}
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std::vector<int> GetOutputPositions() {
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return ExtractVector<int>(output_positions_);
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}
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std::vector<int> GetOutputAttributeInt32() {
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return ExtractVector<int>(output_attributes_int32_);
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}
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std::vector<float> GetOutputAttributeFloat() {
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return ExtractVector<float>(output_attributes_float_);
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}
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int GetOutputLength() { return ExtractVector<int>(output_length_)[0]; }
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private:
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int input_num_tokens_;
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int input_length_;
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int input_output_maxlength_;
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int input_attributes_int32_;
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int input_attributes_float_;
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int output_positions_;
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int output_length_;
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int output_attributes_int32_;
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int output_attributes_float_;
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};
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TokenEncoderOpModel::TokenEncoderOpModel(
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std::initializer_list<int> input_shape,
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std::initializer_list<int> attribute_shape) {
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input_num_tokens_ = AddInput(tflite::TensorType_INT32);
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input_length_ = AddInput(tflite::TensorType_INT32);
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input_output_maxlength_ = AddInput(tflite::TensorType_INT32);
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input_attributes_int32_ = AddInput(tflite::TensorType_INT32);
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input_attributes_float_ = AddInput(tflite::TensorType_FLOAT32);
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output_positions_ = AddOutput(tflite::TensorType_INT32);
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output_length_ = AddOutput(tflite::TensorType_INT32);
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output_attributes_int32_ = AddOutput(tflite::TensorType_INT32);
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output_attributes_float_ = AddOutput(tflite::TensorType_FLOAT32);
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SetCustomOp("TokenEncoder", {}, tflite::ops::custom::Register_TOKEN_ENCODER);
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BuildInterpreter({input_shape, {1}, {1}, attribute_shape, attribute_shape});
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}
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// Tests
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TEST(TokenEncoderTest, SimpleEncoder) {
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TokenEncoderOpModel m({1, 1}, {1, 1});
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m.SetNumTokens({1});
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m.SetMaxOutputLength(10);
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m.SetInt32Attribute({7});
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m.SetFloatAttribute({3.f});
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m.Invoke();
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EXPECT_EQ(m.GetOutputLength(), 3);
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EXPECT_THAT(m.GetOutputPositions(),
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testing::ElementsAre(0, 1, 2, 10, 10, 10, 10, 10, 10, 10));
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EXPECT_THAT(m.GetOutputAttributeInt32(),
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testing::ElementsAre(7, 7, 7, 7, 7, 7, 7, 7, 7, 7));
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EXPECT_THAT(
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m.GetOutputAttributeFloat(),
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testing::ElementsAre(3.f, 3.f, 3.f, 3.f, 3.f, 3.f, 3.f, 3.f, 3.f, 3.f));
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}
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TEST(TokenEncoderTest, ManyMessages) {
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TokenEncoderOpModel m({1, 3}, {1, 3});
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m.SetInt32Attribute({1, 2, 3});
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m.SetFloatAttribute({5.f, 4.f, 3.f});
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m.SetNumTokens({1, 1, 1});
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m.SetMaxOutputLength(10);
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m.Invoke();
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EXPECT_EQ(m.GetOutputLength(), 9);
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EXPECT_THAT(m.GetOutputPositions(),
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testing::ElementsAre(0, 1, 2, 0, 1, 2, 0, 1, 2, 10));
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EXPECT_THAT(m.GetOutputAttributeInt32(),
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testing::ElementsAre(1, 1, 1, 2, 2, 2, 3, 3, 3, 3));
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EXPECT_THAT(
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m.GetOutputAttributeFloat(),
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testing::ElementsAre(5.f, 5.f, 5.f, 4.f, 4.f, 4.f, 3.f, 3.f, 3.f, 3.f));
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}
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TEST(TokenEncoderTest, ManyMessagesMultipleTokens) {
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TokenEncoderOpModel m({1, 4}, {1, 4});
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m.SetInt32Attribute({1, 2, 3, 4});
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m.SetFloatAttribute({5.f, 4.f, 3.f, 2.f});
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m.SetNumTokens({1, 2, 3, 4});
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m.SetMaxOutputLength(9);
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m.Invoke();
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EXPECT_EQ(m.GetOutputLength(), 9);
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EXPECT_THAT(m.GetOutputPositions(),
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testing::ElementsAre(2, 3, 4, 0, 1, 2, 3, 4, 5));
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EXPECT_THAT(m.GetOutputAttributeInt32(),
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testing::ElementsAre(3, 3, 3, 4, 4, 4, 4, 4, 4));
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EXPECT_THAT(
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m.GetOutputAttributeFloat(),
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testing::ElementsAre(3.f, 3.f, 3.f, 2.f, 2.f, 2.f, 2.f, 2.f, 2.f));
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}
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} // namespace
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} // namespace libtextclassifier3
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