Merge pull request #473 from alibaba-damo-academy/dev_smohan

jmwang66

2023-05-09 8dab6d184a034ca86eafa644ea0d2100aadfe27d

 funasr/runtime/onnxruntime/src/ct-transformer.cpp

@@ -1,35 +1,36 @@
/**
 * Copyright FunASR (https://github.com/alibaba-damo-academy/FunASR). All Rights Reserved.
 * MIT License  (https://opensource.org/licenses/MIT)
*/

#include "precomp.h"

CTTransformer::CTTransformer(const char* sz_model_dir, int thread_num)
namespace funasr {
CTTransformer::CTTransformer()
:env_(ORT_LOGGING_LEVEL_ERROR, ""),session_options{}
{
}

void CTTransformer::InitPunc(const std::string &punc_model, const std::string &punc_config, int thread_num){
    session_options.SetIntraOpNumThreads(thread_num);
    session_options.SetGraphOptimizationLevel(ORT_ENABLE_ALL);
    session_options.DisableCpuMemArena();

   string strModelPath = pathAppend(sz_model_dir, PUNC_MODEL_FILE);
   string strYamlPath = pathAppend(sz_model_dir, PUNC_YAML_FILE);

    try{
#ifdef _WIN32
   std::wstring detPath = strToWstr(strModelPath);
    m_session = std::make_unique<Ort::Session>(env_, detPath.c_str(), session_options);
#else
    m_session = std::make_unique<Ort::Session>(env_, strModelPath.c_str(), session_options);
#endif
        m_session = std::make_unique<Ort::Session>(env_, punc_model.c_str(), session_options);
    }
    catch(exception e)
    {
        printf(e.what());
    catch (std::exception const &e) {
        LOG(ERROR) << "Error when load punc onnx model: " << e.what();
        exit(0);
    }
    // read inputnames outputnamess
    // read inputnames outputnames
    string strName;
    getInputName(m_session.get(), strName);
    GetInputName(m_session.get(), strName);
    m_strInputNames.push_back(strName.c_str());
    getInputName(m_session.get(), strName, 1);
    GetInputName(m_session.get(), strName, 1);
    m_strInputNames.push_back(strName);
    
    getOutputName(m_session.get(), strName);
    GetOutputName(m_session.get(), strName);
    m_strOutputNames.push_back(strName);

    for (auto& item : m_strInputNames)
@@ -37,7 +38,7 @@
    for (auto& item : m_strOutputNames)
        m_szOutputNames.push_back(item.c_str());

   m_tokenizer.OpenYaml(strYamlPath.c_str());
   m_tokenizer.OpenYaml(punc_config.c_str());
}

CTTransformer::~CTTransformer()
@@ -54,7 +55,7 @@
    int nTotalBatch = ceil((float)InputData.size() / TOKEN_LEN);
    int nCurBatch = -1;
    int nSentEnd = -1, nLastCommaIndex = -1;
    vector<int64_t> RemainIDs; // 
    vector<int32_t> RemainIDs; // 
    vector<string> RemainStr; //
    vector<int> NewPunctuation; //
    vector<string> NewString; //
@@ -64,7 +65,7 @@
    for (size_t i = 0; i < InputData.size(); i += TOKEN_LEN)
    {
        nDiff = (i + TOKEN_LEN) < InputData.size() ? (0) : (i + TOKEN_LEN - InputData.size());
        vector<int64_t> InputIDs(InputData.begin() + i, InputData.begin() + i + TOKEN_LEN - nDiff);
        vector<int32_t> InputIDs(InputData.begin() + i, InputData.begin() + i + TOKEN_LEN - nDiff);
        vector<string> InputStr(strOut.begin() + i, strOut.begin() + i + TOKEN_LEN - nDiff);
        InputIDs.insert(InputIDs.begin(), RemainIDs.begin(), RemainIDs.end()); // RemainIDs+InputIDs;
        InputStr.insert(InputStr.begin(), RemainStr.begin(), RemainStr.end()); // RemainStr+InputStr;
@@ -77,12 +78,12 @@
            nLastCommaIndex = -1;
            for (int nIndex = Punction.size() - 2; nIndex > 0; nIndex--)
            {
                if (m_tokenizer.ID2Punc(Punction[nIndex]) == m_tokenizer.ID2Punc(PERIOD_INDEX) || m_tokenizer.ID2Punc(Punction[nIndex]) == m_tokenizer.ID2Punc(QUESTION_INDEX))
                if (m_tokenizer.Id2Punc(Punction[nIndex]) == m_tokenizer.Id2Punc(PERIOD_INDEX) || m_tokenizer.Id2Punc(Punction[nIndex]) == m_tokenizer.Id2Punc(QUESTION_INDEX))
                {
                    nSentEnd = nIndex;
                    break;
                }
                if (nLastCommaIndex < 0 && m_tokenizer.ID2Punc(Punction[nIndex]) == m_tokenizer.ID2Punc(COMMA_INDEX))
                if (nLastCommaIndex < 0 && m_tokenizer.Id2Punc(Punction[nIndex]) == m_tokenizer.Id2Punc(COMMA_INDEX))
                {
                    nLastCommaIndex = nIndex;
                }
@@ -110,7 +111,7 @@

            if (Punction[i] != NOTPUNC_INDEX) // �»���
            {
                WordWithPunc.push_back(m_tokenizer.ID2Punc(Punction[i]));
                WordWithPunc.push_back(m_tokenizer.Id2Punc(Punction[i]));
            }
        }

@@ -120,17 +121,17 @@
        // last mini sentence
        if(nCurBatch == nTotalBatch - 1)
        {
            if (NewString[NewString.size() - 1] == m_tokenizer.ID2Punc(COMMA_INDEX) || NewString[NewString.size() - 1] == m_tokenizer.ID2Punc(DUN_INDEX))
            if (NewString[NewString.size() - 1] == m_tokenizer.Id2Punc(COMMA_INDEX) || NewString[NewString.size() - 1] == m_tokenizer.Id2Punc(DUN_INDEX))
            {
                NewSentenceOut.assign(NewString.begin(), NewString.end() - 1);
                NewSentenceOut.push_back(m_tokenizer.ID2Punc(PERIOD_INDEX));
                NewSentenceOut.push_back(m_tokenizer.Id2Punc(PERIOD_INDEX));
                NewPuncOut.assign(NewPunctuation.begin(), NewPunctuation.end() - 1);
                NewPuncOut.push_back(PERIOD_INDEX);
            }
            else if (NewString[NewString.size() - 1] == m_tokenizer.ID2Punc(PERIOD_INDEX) && NewString[NewString.size() - 1] == m_tokenizer.ID2Punc(QUESTION_INDEX))
            else if (NewString[NewString.size() - 1] == m_tokenizer.Id2Punc(PERIOD_INDEX) && NewString[NewString.size() - 1] == m_tokenizer.Id2Punc(QUESTION_INDEX))
            {
                NewSentenceOut = NewString;
                NewSentenceOut.push_back(m_tokenizer.ID2Punc(PERIOD_INDEX));
                NewSentenceOut.push_back(m_tokenizer.Id2Punc(PERIOD_INDEX));
                NewPuncOut = NewPunctuation;
                NewPuncOut.push_back(PERIOD_INDEX);
            }
@@ -141,12 +142,13 @@
    return strResult;
}

vector<int> CTTransformer::Infer(vector<int64_t> input_data)
vector<int> CTTransformer::Infer(vector<int32_t> input_data)
{
    Ort::MemoryInfo m_memoryInfo = Ort::MemoryInfo::CreateCpu(OrtArenaAllocator, OrtMemTypeDefault);
    vector<int> punction;
    std::array<int64_t, 2> input_shape_{ 1, (int64_t)input_data.size()};
    Ort::Value onnx_input = Ort::Value::CreateTensor<int64_t>(m_memoryInfo,
    Ort::Value onnx_input = Ort::Value::CreateTensor<int32_t>(
        m_memoryInfo,
        input_data.data(),
        input_data.size(),
        input_shape_.data(),
@@ -173,16 +175,16 @@

        for (int i = 0; i < outputCount; i += CANDIDATE_NUM)
        {
            int index = argmax(floatData + i, floatData + i + CANDIDATE_NUM-1);
            int index = Argmax(floatData + i, floatData + i + CANDIDATE_NUM-1);
            punction.push_back(index);
        }
    }
    catch (std::exception const &e)
    {
        printf(e.what());
        LOG(ERROR) << "Error when run punc onnx forword: " << (e.what());
        exit(0);
    }
    return punction;
}



} // namespace funasr