Add C++ runtime for Tele-AI/TeleSpeech-ASR (#970)

sherpa-onnx/csrc/offline-telespeech-ctc-model.cc

@@ -0,0 +1,144 @@
+// sherpa-onnx/csrc/offline-telespeech-ctc-model.cc
+//
+// Copyright (c)  2023-2024  Xiaomi Corporation
+
+#include "sherpa-onnx/csrc/offline-telespeech-ctc-model.h"
+
+#include "sherpa-onnx/csrc/macros.h"
+#include "sherpa-onnx/csrc/onnx-utils.h"
+#include "sherpa-onnx/csrc/session.h"
+#include "sherpa-onnx/csrc/text-utils.h"
+#include "sherpa-onnx/csrc/transpose.h"
+
+namespace sherpa_onnx {
+
+class OfflineTeleSpeechCtcModel::Impl {
+ public:
+  explicit Impl(const OfflineModelConfig &config)
+      : config_(config),
+        env_(ORT_LOGGING_LEVEL_ERROR),
+        sess_opts_(GetSessionOptions(config)),
+        allocator_{} {
+    auto buf = ReadFile(config_.telespeech_ctc);
+    Init(buf.data(), buf.size());
+  }
+
+#if __ANDROID_API__ >= 9
+  Impl(AAssetManager *mgr, const OfflineModelConfig &config)
+      : config_(config),
+        env_(ORT_LOGGING_LEVEL_ERROR),
+        sess_opts_(GetSessionOptions(config)),
+        allocator_{} {
+    auto buf = ReadFile(mgr, config_.telespeech_ctc);
+    Init(buf.data(), buf.size());
+  }
+#endif
+
+  std::vector<Ort::Value> Forward(Ort::Value features,
+                                  Ort::Value /*features_length*/) {
+    std::vector<int64_t> shape =
+        features.GetTensorTypeAndShapeInfo().GetShape();
+
+    if (static_cast<int32_t>(shape[0]) != 1) {
+      SHERPA_ONNX_LOGE("This model supports only batch size 1. Given %d",
+                       static_cast<int32_t>(shape[0]));
+    }
+
+    auto out = sess_->Run({}, input_names_ptr_.data(), &features, 1,
+                          output_names_ptr_.data(), output_names_ptr_.size());
+
+    std::vector<int64_t> logits_shape = {1};
+    Ort::Value logits_length = Ort::Value::CreateTensor<int64_t>(
+        allocator_, logits_shape.data(), logits_shape.size());
+
+    int64_t *dst = logits_length.GetTensorMutableData<int64_t>();
+    dst[0] = out[0].GetTensorTypeAndShapeInfo().GetShape()[0];
+
+    // (T, B, C) -> (B, T, C)
+    Ort::Value logits = Transpose01(allocator_, &out[0]);
+
+    std::vector<Ort::Value> ans;
+    ans.reserve(2);
+    ans.push_back(std::move(logits));
+    ans.push_back(std::move(logits_length));
+
+    return ans;
+  }
+
+  int32_t VocabSize() const { return vocab_size_; }
+
+  int32_t SubsamplingFactor() const { return subsampling_factor_; }
+
+  OrtAllocator *Allocator() const { return allocator_; }
+
+ 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;
+      PrintModelMetadata(os, meta_data);
+      SHERPA_ONNX_LOGE("%s\n", os.str().c_str());
+    }
+
+    {
+      auto shape =
+          sess_->GetOutputTypeInfo(0).GetTensorTypeAndShapeInfo().GetShape();
+      vocab_size_ = shape[2];
+    }
+  }
+
+ private:
+  OfflineModelConfig 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_;
+
+  int32_t vocab_size_ = 0;
+  int32_t subsampling_factor_ = 4;
+};
+
+OfflineTeleSpeechCtcModel::OfflineTeleSpeechCtcModel(
+    const OfflineModelConfig &config)
+    : impl_(std::make_unique<Impl>(config)) {}
+
+#if __ANDROID_API__ >= 9
+OfflineTeleSpeechCtcModel::OfflineTeleSpeechCtcModel(
+    AAssetManager *mgr, const OfflineModelConfig &config)
+    : impl_(std::make_unique<Impl>(mgr, config)) {}
+#endif
+
+OfflineTeleSpeechCtcModel::~OfflineTeleSpeechCtcModel() = default;
+
+std::vector<Ort::Value> OfflineTeleSpeechCtcModel::Forward(
+    Ort::Value features, Ort::Value features_length) {
+  return impl_->Forward(std::move(features), std::move(features_length));
+}
+
+int32_t OfflineTeleSpeechCtcModel::VocabSize() const {
+  return impl_->VocabSize();
+}
+int32_t OfflineTeleSpeechCtcModel::SubsamplingFactor() const {
+  return impl_->SubsamplingFactor();
+}
+
+OrtAllocator *OfflineTeleSpeechCtcModel::Allocator() const {
+  return impl_->Allocator();
+}
+
+}  // namespace sherpa_onnx