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// Copyright 2016 Google Inc.
//
// 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 "bpe_model_trainer.h"
#include "builder.h"
#include "sentencepiece_processor.h"
#include "testharness.h"
#include "util.h"
namespace sentencepiece {
namespace bpe {
// Space symbol
#define WS "\xe2\x96\x81"
namespace {
std::string RunTrainer(const std::vector<std::string> &input, int size) {
test::ScopedTempFile input_scoped_file("input");
test::ScopedTempFile model_scoped_file("model");
const std::string input_file = input_scoped_file.filename();
const std::string model_prefix = model_scoped_file.filename();
{
io::OutputBuffer output(input_file);
for (const auto &line : input) {
output.WriteLine(line);
}
}
TrainerSpec trainer_spec;
trainer_spec.set_model_type(TrainerSpec::BPE);
trainer_spec.add_input(input_file);
trainer_spec.set_vocab_size(size - 3); // remove <unk>, <s>, </s>
trainer_spec.set_model_prefix(model_prefix);
NormalizerSpec normalizer_spec;
normalizer_spec.set_name("identity");
normalizer_spec.set_add_dummy_prefix(false);
EXPECT_OK(normalizer::Builder::PopulateNormalizerSpec(&normalizer_spec));
Trainer trainer(trainer_spec, normalizer_spec);
trainer.Train();
SentencePieceProcessor processor;
EXPECT_OK(processor.Load(model_prefix + ".model"));
const auto &model = processor.model_proto();
std::vector<std::string> pieces;
// remove <unk>, <s>, </s>
for (int i = 3; i < model.pieces_size(); ++i) {
pieces.emplace_back(model.pieces(i).piece());
}
return string_util::Join(pieces, " ");
}
} // namespace
TEST(BPETrainerTest, BasicTest) {
EXPECT_EQ("ab ra abra ad cad abracad abracadabra ac br a b r c d",
RunTrainer({"abracadabra"}, 20));
EXPECT_EQ("ap le app apple en in ine pen p e a l n i",
RunTrainer({"pen", "pineapple", "apple"}, 20));
EXPECT_EQ("he ll llo hello hellohe el lo oh hel ohe e h l o",
RunTrainer({"hellohe"}, 20));
}
TEST(BPETrainerTest, EndToEndTest) {
TrainerSpec trainer_spec;
trainer_spec.add_input("../data/wagahaiwa_nekodearu.txt");
NormalizerSpec normalizer_spec;
normalizer_spec.set_name("nfkc");
EXPECT_OK(normalizer::Builder::PopulateNormalizerSpec(&normalizer_spec));
constexpr int kVocabSize = 8000;
trainer_spec.set_vocab_size(kVocabSize);
trainer_spec.set_model_type(TrainerSpec::BPE);
trainer_spec.add_control_symbols("<ctrl>");
// trainer_spec.add_user_defined_symbols("<user>");
test::ScopedTempFile sf("tmp_model");
trainer_spec.set_model_prefix(sf.filename());
bpe::Trainer trainer(trainer_spec, normalizer_spec);
trainer.Train();
SentencePieceProcessor sp;
EXPECT_OK(sp.Load(std::string(sf.filename()) + ".model"));
EXPECT_EQ(kVocabSize, sp.GetPieceSize());
const int cid = sp.PieceToId("<ctrl>");
// const int uid = sp.PieceToId("<user>");
EXPECT_TRUE(sp.IsControl(cid));
// EXPECT_FALSE(sp.IsUnknown(uid));
std::vector<std::string> tok;
sp.Encode("", &tok);
EXPECT_TRUE(tok.empty());
sp.Encode(
"吾輩《わがはい》は猫である。名前はまだ無い。"
"どこで生れたかとんと見当《けんとう》がつかぬ。"
"何でも薄暗いじめじめした所でニャーニャー泣いていた事だけは記憶している"
"。",
&tok);
EXPECT_EQ(WS
" 吾輩 《 わが はい 》 は猫 である 。 名前 はまだ 無い 。 "
"どこで 生 れた か とん と見 当 《 けんとう 》 が つかぬ 。 "
"何でも 薄 暗 いじ め じ め した 所で ニャー ニャー 泣 いていた "
"事 だけは 記憶 している 。",
string_util::Join(tok, " "));
}
} // namespace bpe
} // namespace sentencepiece
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