/*
* Copyright (C) 2017 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 "cached-features.h"
#include "model-executor.h"
#include "tensor-view.h"
#include "gmock/gmock.h"
#include "gtest/gtest.h"
using testing::ElementsAreArray;
using testing::FloatEq;
using testing::Matcher;
namespace libtextclassifier2 {
namespace {
Matcher<std::vector<float>> ElementsAreFloat(const std::vector<float>& values) {
std::vector<Matcher<float>> matchers;
for (const float value : values) {
matchers.push_back(FloatEq(value));
}
return ElementsAreArray(matchers);
}
std::unique_ptr<std::vector<float>> MakeFeatures(int num_tokens) {
std::unique_ptr<std::vector<float>> features(new std::vector<float>());
for (int i = 1; i <= num_tokens; ++i) {
features->push_back(i * 11.0f);
features->push_back(-i * 11.0f);
features->push_back(i * 0.1f);
}
return features;
}
std::vector<float> GetCachedClickContextFeatures(
const CachedFeatures& cached_features, int click_pos) {
std::vector<float> output_features;
cached_features.AppendClickContextFeaturesForClick(click_pos,
&output_features);
return output_features;
}
std::vector<float> GetCachedBoundsSensitiveFeatures(
const CachedFeatures& cached_features, TokenSpan selected_span) {
std::vector<float> output_features;
cached_features.AppendBoundsSensitiveFeaturesForSpan(selected_span,
&output_features);
return output_features;
}
TEST(CachedFeaturesTest, ClickContext) {
FeatureProcessorOptionsT options;
options.context_size = 2;
options.feature_version = 1;
flatbuffers::FlatBufferBuilder builder;
builder.Finish(CreateFeatureProcessorOptions(builder, &options));
flatbuffers::DetachedBuffer options_fb = builder.Release();
std::unique_ptr<std::vector<float>> features = MakeFeatures(9);
std::unique_ptr<std::vector<float>> padding_features(
new std::vector<float>{112233.0, -112233.0, 321.0});
const std::unique_ptr<CachedFeatures> cached_features =
CachedFeatures::Create(
{3, 10}, std::move(features), std::move(padding_features),
flatbuffers::GetRoot<FeatureProcessorOptions>(options_fb.data()),
/*feature_vector_size=*/3);
ASSERT_TRUE(cached_features);
EXPECT_THAT(GetCachedClickContextFeatures(*cached_features, 5),
ElementsAreFloat({11.0, -11.0, 0.1, 22.0, -22.0, 0.2, 33.0, -33.0,
0.3, 44.0, -44.0, 0.4, 55.0, -55.0, 0.5}));
EXPECT_THAT(GetCachedClickContextFeatures(*cached_features, 6),
ElementsAreFloat({22.0, -22.0, 0.2, 33.0, -33.0, 0.3, 44.0, -44.0,
0.4, 55.0, -55.0, 0.5, 66.0, -66.0, 0.6}));
EXPECT_THAT(GetCachedClickContextFeatures(*cached_features, 7),
ElementsAreFloat({33.0, -33.0, 0.3, 44.0, -44.0, 0.4, 55.0, -55.0,
0.5, 66.0, -66.0, 0.6, 77.0, -77.0, 0.7}));
}
TEST(CachedFeaturesTest, BoundsSensitive) {
std::unique_ptr<FeatureProcessorOptions_::BoundsSensitiveFeaturesT> config(
new FeatureProcessorOptions_::BoundsSensitiveFeaturesT());
config->enabled = true;
config->num_tokens_before = 2;
config->num_tokens_inside_left = 2;
config->num_tokens_inside_right = 2;
config->num_tokens_after = 2;
config->include_inside_bag = true;
config->include_inside_length = true;
FeatureProcessorOptionsT options;
options.bounds_sensitive_features = std::move(config);
options.feature_version = 2;
flatbuffers::FlatBufferBuilder builder;
builder.Finish(CreateFeatureProcessorOptions(builder, &options));
flatbuffers::DetachedBuffer options_fb = builder.Release();
std::unique_ptr<std::vector<float>> features = MakeFeatures(9);
std::unique_ptr<std::vector<float>> padding_features(
new std::vector<float>{112233.0, -112233.0, 321.0});
const std::unique_ptr<CachedFeatures> cached_features =
CachedFeatures::Create(
{3, 9}, std::move(features), std::move(padding_features),
flatbuffers::GetRoot<FeatureProcessorOptions>(options_fb.data()),
/*feature_vector_size=*/3);
ASSERT_TRUE(cached_features);
EXPECT_THAT(
GetCachedBoundsSensitiveFeatures(*cached_features, {5, 8}),
ElementsAreFloat({11.0, -11.0, 0.1, 22.0, -22.0, 0.2, 33.0,
-33.0, 0.3, 44.0, -44.0, 0.4, 44.0, -44.0,
0.4, 55.0, -55.0, 0.5, 66.0, -66.0, 0.6,
112233.0, -112233.0, 321.0, 44.0, -44.0, 0.4, 3.0}));
EXPECT_THAT(
GetCachedBoundsSensitiveFeatures(*cached_features, {5, 7}),
ElementsAreFloat({11.0, -11.0, 0.1, 22.0, -22.0, 0.2, 33.0,
-33.0, 0.3, 44.0, -44.0, 0.4, 33.0, -33.0,
0.3, 44.0, -44.0, 0.4, 55.0, -55.0, 0.5,
66.0, -66.0, 0.6, 38.5, -38.5, 0.35, 2.0}));
EXPECT_THAT(
GetCachedBoundsSensitiveFeatures(*cached_features, {6, 8}),
ElementsAreFloat({22.0, -22.0, 0.2, 33.0, -33.0, 0.3, 44.0,
-44.0, 0.4, 55.0, -55.0, 0.5, 44.0, -44.0,
0.4, 55.0, -55.0, 0.5, 66.0, -66.0, 0.6,
112233.0, -112233.0, 321.0, 49.5, -49.5, 0.45, 2.0}));
EXPECT_THAT(
GetCachedBoundsSensitiveFeatures(*cached_features, {6, 7}),
ElementsAreFloat({22.0, -22.0, 0.2, 33.0, -33.0, 0.3,
44.0, -44.0, 0.4, 112233.0, -112233.0, 321.0,
112233.0, -112233.0, 321.0, 44.0, -44.0, 0.4,
55.0, -55.0, 0.5, 66.0, -66.0, 0.6,
44.0, -44.0, 0.4, 1.0}));
}
} // namespace
} // namespace libtextclassifier2