Add C++ runtime for Matcha-TTS (#1627)

sherpa-onnx/csrc/offline-tts-matcha-model.cc

@@ -0,0 +1,198 @@
+// sherpa-onnx/csrc/offline-tts-matcha-model.cc
+//
+// Copyright (c)  2024  Xiaomi Corporation
+
+#include "sherpa-onnx/csrc/offline-tts-matcha-model.h"
+
+#include <algorithm>
+#include <string>
+#include <utility>
+#include <vector>
+
+#if __ANDROID_API__ >= 9
+#include "android/asset_manager.h"
+#include "android/asset_manager_jni.h"
+#endif
+
+#if __OHOS__
+#include "rawfile/raw_file_manager.h"
+#endif
+
+#include "sherpa-onnx/csrc/macros.h"
+#include "sherpa-onnx/csrc/onnx-utils.h"
+#include "sherpa-onnx/csrc/session.h"
+
+namespace sherpa_onnx {
+
+class OfflineTtsMatchaModel::Impl {
+ public:
+  explicit Impl(const OfflineTtsModelConfig &config)
+      : config_(config),
+        env_(ORT_LOGGING_LEVEL_ERROR),
+        sess_opts_(GetSessionOptions(config)),
+        allocator_{} {
+    auto buf = ReadFile(config.matcha.acoustic_model);
+    Init(buf.data(), buf.size());
+  }
+
+  template <typename Manager>
+  Impl(Manager *mgr, const OfflineTtsModelConfig &config)
+      : config_(config),
+        env_(ORT_LOGGING_LEVEL_ERROR),
+        sess_opts_(GetSessionOptions(config)),
+        allocator_{} {
+    auto buf = ReadFile(mgr, config.matcha.acoustic_model);
+    Init(buf.data(), buf.size());
+  }
+
+  const OfflineTtsMatchaModelMetaData &GetMetaData() const {
+    return meta_data_;
+  }
+
+  Ort::Value Run(Ort::Value x, int64_t sid, float speed) {
+    auto memory_info =
+        Ort::MemoryInfo::CreateCpu(OrtDeviceAllocator, OrtMemTypeDefault);
+
+    std::vector<int64_t> x_shape = x.GetTensorTypeAndShapeInfo().GetShape();
+    if (x_shape[0] != 1) {
+      SHERPA_ONNX_LOGE("Support only batch_size == 1. Given: %d",
+                       static_cast<int32_t>(x_shape[0]));
+      exit(-1);
+    }
+
+    int64_t len = x_shape[1];
+    int64_t len_shape = 1;
+
+    Ort::Value x_length =
+        Ort::Value::CreateTensor(memory_info, &len, 1, &len_shape, 1);
+
+    int64_t scale_shape = 1;
+    float noise_scale = config_.matcha.noise_scale;
+    float length_scale = config_.matcha.length_scale;
+
+    if (speed != 1 && speed > 0) {
+      length_scale = 1. / speed;
+    }
+
+    Ort::Value noise_scale_tensor =
+        Ort::Value::CreateTensor(memory_info, &noise_scale, 1, &scale_shape, 1);
+
+    Ort::Value length_scale_tensor = Ort::Value::CreateTensor(
+        memory_info, &length_scale, 1, &scale_shape, 1);
+
+    Ort::Value sid_tensor =
+        Ort::Value::CreateTensor(memory_info, &sid, 1, &scale_shape, 1);
+
+    std::vector<Ort::Value> inputs;
+    inputs.reserve(5);
+    inputs.push_back(std::move(x));
+    inputs.push_back(std::move(x_length));
+    inputs.push_back(std::move(noise_scale_tensor));
+    inputs.push_back(std::move(length_scale_tensor));
+
+    if (input_names_.size() == 5 && input_names_.back() == "sid") {
+      inputs.push_back(std::move(sid_tensor));
+    }
+
+    auto out =
+        sess_->Run({}, input_names_ptr_.data(), inputs.data(), inputs.size(),
+                   output_names_ptr_.data(), output_names_ptr_.size());
+
+    return std::move(out[0]);
+  }
+
+ private:
+  void Init(void *model_data, size_t model_data_length) {
+    sess_ = std::make_unique<Ort::Session>(env_, model_data, model_data_length,
+                                           sess_opts_);
+
+    GetInputNames(sess_.get(), &input_names_, &input_names_ptr_);
+
+    GetOutputNames(sess_.get(), &output_names_, &output_names_ptr_);
+
+    // get meta data
+    Ort::ModelMetadata meta_data = sess_->GetModelMetadata();
+    if (config_.debug) {
+      std::ostringstream os;
+      os << "---matcha model---\n";
+      PrintModelMetadata(os, meta_data);
+
+      os << "----------input names----------\n";
+      int32_t i = 0;
+      for (const auto &s : input_names_) {
+        os << i << " " << s << "\n";
+        ++i;
+      }
+      os << "----------output names----------\n";
+      i = 0;
+      for (const auto &s : output_names_) {
+        os << i << " " << s << "\n";
+        ++i;
+      }
+
+#if __OHOS__
+      SHERPA_ONNX_LOGE("%{public}s\n", os.str().c_str());
+#else
+      SHERPA_ONNX_LOGE("%s\n", os.str().c_str());
+#endif
+    }
+
+    Ort::AllocatorWithDefaultOptions allocator;  // used in the macro below
+    SHERPA_ONNX_READ_META_DATA(meta_data_.sample_rate, "sample_rate");
+    SHERPA_ONNX_READ_META_DATA_WITH_DEFAULT(meta_data_.version, "version", 1);
+    SHERPA_ONNX_READ_META_DATA(meta_data_.num_speakers, "n_speakers");
+    SHERPA_ONNX_READ_META_DATA(meta_data_.jieba, "jieba");
+    SHERPA_ONNX_READ_META_DATA(meta_data_.espeak, "has_espeak");
+    SHERPA_ONNX_READ_META_DATA(meta_data_.use_eos_bos, "use_eos_bos");
+    SHERPA_ONNX_READ_META_DATA(meta_data_.pad_id, "pad_id");
+  }
+
+ private:
+  OfflineTtsModelConfig config_;
+  Ort::Env env_;
+  Ort::SessionOptions sess_opts_;
+  Ort::AllocatorWithDefaultOptions allocator_;
+
+  std::unique_ptr<Ort::Session> sess_;
+
+  std::vector<std::string> input_names_;
+  std::vector<const char *> input_names_ptr_;
+
+  std::vector<std::string> output_names_;
+  std::vector<const char *> output_names_ptr_;
+
+  OfflineTtsMatchaModelMetaData meta_data_;
+};
+
+OfflineTtsMatchaModel::OfflineTtsMatchaModel(
+    const OfflineTtsModelConfig &config)
+    : impl_(std::make_unique<Impl>(config)) {}
+
+template <typename Manager>
+OfflineTtsMatchaModel::OfflineTtsMatchaModel(
+    Manager *mgr, const OfflineTtsModelConfig &config)
+    : impl_(std::make_unique<Impl>(mgr, config)) {}
+
+OfflineTtsMatchaModel::~OfflineTtsMatchaModel() = default;
+
+const OfflineTtsMatchaModelMetaData &OfflineTtsMatchaModel::GetMetaData()
+    const {
+  return impl_->GetMetaData();
+}
+
+Ort::Value OfflineTtsMatchaModel::Run(Ort::Value x, int64_t sid /*= 0*/,
+                                      float speed /*= 1.0*/) const {
+  return impl_->Run(std::move(x), sid, speed);
+}
+
+#if __ANDROID_API__ >= 9
+template OfflineTtsMatchaModel::OfflineTtsMatchaModel(
+    AAssetManager *mgr, const OfflineTtsModelConfig &config);
+#endif
+
+#if __OHOS__
+template OfflineTtsMatchaModel::OfflineTtsMatchaModel(
+    NativeResourceManager *mgr, const OfflineTtsModelConfig &config);
+#endif
+
+}  // namespace sherpa_onnx