voice_audio_multi/tests/unittests/test_citrinet_tokenizer_decode.cpp
Fabio c36510c21e
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Initial import: audio.cpp with Orange Pi documentation
2026-11-04 19:05:22 +01:00

76 lines
2.8 KiB
C++

#include "engine/framework/tokenizers/sentencepiece.h"
#include <iostream>
#include <filesystem>
#include <stdexcept>
#include <string>
#include <vector>
namespace {
std::filesystem::path test_asset_path(const std::string & relative) {
return std::filesystem::path(ENGINE_TEST_ASSET_ROOT) / relative;
}
void require(bool condition, const std::string & message) {
if (!condition) {
throw std::runtime_error(message);
}
}
// Citrinet CTC decoding maps token ids straight into the tokenizer's piece
// table, so the table must be exactly id-aligned with the SentencePiece
// model. A table that drops or reorders entries (NeMo's sidecar vocab.txt
// omits <unk> at id 0) yields plausible-looking but wrong words instead of
// an error, which is why the runtime decodes through tokenizer.model.
void test_ctc_id_decode_round_trip() {
const auto pieces = engine::tokenizers::load_sentencepiece_model(
test_asset_path("tokenizers/tokenizer-1.model"));
// The id-alignment contract the vocab.txt sidecar violated: the piece
// table must include the model's <unk> entry at id 0, not start at the
// first normal piece.
require(!pieces.empty(), "tokenizer model contained no pieces");
require(pieces[0].text == "<unk>", "expected piece 0 to be <unk>");
require(
pieces[0].type == engine::tokenizers::SentencePieceType::Unknown,
"expected piece 0 to have type Unknown");
const std::string phrase = "hello world how are you";
const auto ids = engine::tokenizers::tokenize_sentencepiece(pieces, phrase);
require(!ids.empty(), "tokenizer produced no ids for the test phrase");
const auto decoded = engine::tokenizers::decode_sentencepiece(pieces, ids);
require(
decoded == phrase,
"decode_sentencepiece round trip failed: got '" + decoded + "'");
// Shifting every id by one simulates a piece table that lost its first
// entry, the failure mode of NeMo's sidecar vocab.txt. The result must
// be different text, not a silent reproduction of the phrase.
std::vector<int32_t> shifted;
shifted.reserve(ids.size());
for (const int32_t id : ids) {
if (static_cast<size_t>(id) + 1 < pieces.size()) {
shifted.push_back(id + 1);
}
}
require(shifted.size() == ids.size(), "shifted id set lost entries");
const auto misaligned = engine::tokenizers::decode_sentencepiece(pieces, shifted);
require(
misaligned != phrase,
"shifted ids unexpectedly decoded to the original phrase");
}
} // namespace
int main() {
try {
test_ctc_id_decode_round_trip();
} catch (const std::exception & ex) {
std::cerr << "test_citrinet_tokenizer_decode failed: " << ex.what() << "\n";
return 1;
}
std::cout << "test_citrinet_tokenizer_decode passed\n";
return 0;
}