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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 <string>
#include <vector>
#include "bpe_model_trainer.h"
#include "filesystem.h"
#include "sentencepiece_processor.h"
#include "sentencepiece_trainer.h"
#include "testharness.h"
#include "third_party/absl/strings/str_cat.h"
#include "third_party/absl/strings/str_join.h"
#include "util.h"
namespace sentencepiece {
namespace bpe {
namespace {
// Space symbol
#define WS "\xe2\x96\x81"
std::string RunTrainer(
const std::vector<std::string> &input, int size,
const std::vector<std::string> &user_defined_symbols = {}) {
const std::string input_file =
util::JoinPath(::testing::TempDir(), "input");
const std::string model_prefix =
util::JoinPath(::testing::TempDir(), "model");
{
auto output = filesystem::NewWritableFile(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);
NormalizerSpec denormalizer_spec;
for (const auto &w : user_defined_symbols) {
trainer_spec.add_user_defined_symbols(w);
}
Trainer trainer(trainer_spec, normalizer_spec, denormalizer_spec);
EXPECT_TRUE(trainer.Train().ok());
SentencePieceProcessor processor;
EXPECT_TRUE(processor.Load(model_prefix + ".model").ok());
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 absl::StrJoin(pieces, " ");
}
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));
EXPECT_EQ("app le en in ine pen pine ne pe e l n p i",
RunTrainer({"pen", "pineapple", "apple"}, 20, {"app"}));
}
static constexpr char kTestInputData[] = "wagahaiwa_nekodearu.txt";
TEST(BPETrainerTest, EndToEndTest) {
const std::string input =
util::JoinPath(::testing::SrcDir(), kTestInputData);
ASSERT_TRUE(
SentencePieceTrainer::Train(
absl::StrCat(
"--model_prefix=",
util::JoinPath(::testing::TempDir(), "tmp_model"),
" --input=", input,
" --vocab_size=8000 --normalization_rule_name=identity"
" --model_type=bpe --control_symbols=<ctrl> "
"--max_sentence_length=2048"))
.ok());
SentencePieceProcessor sp;
ASSERT_TRUE(sp.Load(std::string(util::JoinPath(
::testing::TempDir(), "tmp_model.model")))
.ok());
EXPECT_EQ(8000, sp.GetPieceSize());
const int cid = sp.PieceToId("<ctrl>");
EXPECT_TRUE(sp.IsControl(cid));
std::vector<std::string> tok;
ASSERT_TRUE(sp.Encode("", &tok).ok());
ASSERT_TRUE(tok.empty());
EXPECT_TRUE(sp.Encode("εΎθΌ©γγγγ―γγγ―η«γ§γγγεεγ―γΎγ η‘γγ"
"γ©γγ§ηγγγγ¨γγ¨θ¦ε½γγγγ¨γγγγ€γγ¬γ"
"δ½γ§γθζγγγγγγγζγ§γγ£γΌγγ£γΌζ³£γγ¦γγδΊγ "
"γγ―θ¨ζΆγγ¦γγ"
"γ",
&tok)
.ok());
EXPECT_EQ(WS
" εΎθΌ© γ γγ γ―γ γ γ―η« γ§γγ γ εε γ―γΎγ η‘γ γ "
"γ©γγ§ η γγ γ γ¨γ γ¨θ¦ ε½ γ γγγ¨γ γ γ γ€γγ¬ γ "
"δ½γ§γ θ ζ γγ γ γ γ γγ ζγ§ γγ£γΌ γγ£γΌ ζ³£ γγ¦γγ "
"δΊ γ γγ― θ¨ζΆ γγ¦γγ γ",
absl::StrJoin(tok, " "));
}
} // namespace
} // namespace bpe
} // namespace sentencepiece
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