LiteRT-LM / runtime /components /sentencepiece_tokenizer.cc
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// Copyright 2025 The ODML Authors.
//
// 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 "runtime/components/sentencepiece_tokenizer.h"
#include <memory>
#include <string>
#include <utility>
#include <vector>
#include "absl/memory/memory.h" // from @com_google_absl
#include "absl/status/status.h" // from @com_google_absl
#include "absl/status/statusor.h" // from @com_google_absl
#include "absl/strings/str_cat.h" // from @com_google_absl
#include "absl/strings/string_view.h" // from @com_google_absl
#include "runtime/components/tokenizer.h"
#include "sentencepiece_model.pb.h" // from @sentencepiece
#include "sentencepiece_processor.h" // from @sentencepiece
namespace litert::lm {
absl::StatusOr<std::unique_ptr<SentencePieceTokenizer>>
SentencePieceTokenizer::CreateFromFile(absl::string_view model_path) {
auto processor = std::make_unique<sentencepiece::SentencePieceProcessor>();
auto status = processor->Load(model_path);
if (!status.ok()) {
return status;
}
return absl::WrapUnique(new SentencePieceTokenizer(std::move(processor)));
}
absl::StatusOr<std::unique_ptr<SentencePieceTokenizer>>
SentencePieceTokenizer::CreateFromBuffer(absl::string_view model_buffer) {
auto processor = std::make_unique<sentencepiece::SentencePieceProcessor>();
auto status = processor->LoadFromSerializedProto(model_buffer);
if (!status.ok()) {
return status;
}
return absl::WrapUnique(new SentencePieceTokenizer(std::move(processor)));
}
absl::StatusOr<std::unique_ptr<SentencePieceTokenizer>>
SentencePieceTokenizer::CreateFromProto(
std::unique_ptr<sentencepiece::ModelProto> model_proto) {
auto processor = std::make_unique<sentencepiece::SentencePieceProcessor>();
auto status = processor->Load(std::move(model_proto));
if (!status.ok()) {
return status;
}
return absl::WrapUnique(new SentencePieceTokenizer(std::move(processor)));
}
// Encodes the given text into a TensorBuffer of token ids.
absl::StatusOr<std::vector<int>> SentencePieceTokenizer::TextToTokenIds(
absl::string_view text) {
std::vector<int> ids;
auto status = processor_->Encode(text, &ids);
if (!status.ok()) {
return status;
}
return ids;
}
absl::StatusOr<int> SentencePieceTokenizer::TokenToId(absl::string_view token) {
int id = processor_->PieceToId(token);
if (id == processor_->unk_id()) {
return absl::NotFoundError(absl::StrCat("Unknown token: ", token));
}
return id;
}
// Decodes the given TensorBuffer of token ids into a string.
absl::StatusOr<std::string> SentencePieceTokenizer::TokenIdsToText(
const std::vector<int>& token_ids) {
std::string text = "";
std::vector<int> chunk_byte_token_ids;
for (const auto& token_id : token_ids) {
if (token_id >= vocab_size_ || token_id < 0) {
return absl::NotFoundError(
absl::StrCat("Token id ", token_id,
" is out of range. Vocab size is ", vocab_size_));
}
if (processor_->IsByte(token_id)) {
std::string decoded = processor_->DecodeIds({token_id});
if (Tokenizer::HasBpeSuffix(decoded)) {
// If the token is a partial BPE token, we need to wait for more tokens
// to be decoded before we can decode it.
chunk_byte_token_ids.push_back(token_id);
} else {
// If the token is a single byte or invalid/continuation byte and not
// bundled with other tokens, decode it immediately.
absl::StrAppend(&text, decoded);
}
} else {
// If the token is not a byte token, decode the chunk of byte tokens and
// clear buffer.
if (!chunk_byte_token_ids.empty()) {
absl::StrAppend(&text, processor_->DecodeIds(chunk_byte_token_ids));
chunk_byte_token_ids.clear();
}
// We are forced to use IdToPiece to account for leading whitespace.
// Otherwise, the normalizer (depending on the configuration) would
// remove that which makes streaming decoding impossible.
// e.g., [[change], [_volume]] -> "change volume" vs.
// [[change], [volume]] -> "changevolume"
absl::StrAppend(&text, processor_->IdToPiece(token_id));
}
}
if (!chunk_byte_token_ids.empty()) {
std::string decoded = processor_->DecodeIds(chunk_byte_token_ids);
if (Tokenizer::HasBpeSuffix(decoded)) {
return absl::DataLossError(
"The set of token IDs passed to the tokenizer is part of a BPE "
"sequence and needs more tokens to be decoded.");
} else {
absl::StrAppend(&text, decoded);
}
}
return text;
}
std::vector<std::string> SentencePieceTokenizer::GetTokens() const {
std::vector<std::string> tokens;
for (const auto& piece : processor_->model_proto().pieces()) {
tokens.push_back(piece.piece());
}
return tokens;
}
} // namespace litert::lm