Support paraformer. (#95)

sherpa-onnx/csrc/offline-paraformer-model.h

@@ -0,0 +1,67 @@
+// sherpa-onnx/csrc/offline-paraformer-model.h
+//
+// Copyright (c)  2022-2023  Xiaomi Corporation
+#ifndef SHERPA_ONNX_CSRC_OFFLINE_PARAFORMER_MODEL_H_
+#define SHERPA_ONNX_CSRC_OFFLINE_PARAFORMER_MODEL_H_
+
+#include <memory>
+#include <utility>
+#include <vector>
+
+#include "onnxruntime_cxx_api.h"  // NOLINT
+#include "sherpa-onnx/csrc/offline-model-config.h"
+
+namespace sherpa_onnx {
+
+class OfflineParaformerModel {
+ public:
+  explicit OfflineParaformerModel(const OfflineModelConfig &config);
+  ~OfflineParaformerModel();
+
+  /** Run the forward method of the model.
+   *
+   * @param features  A tensor of shape (N, T, C). It is changed in-place.
+   * @param features_length  A 1-D tensor of shape (N,) containing number of
+   *                         valid frames in `features` before padding.
+   *                         Its dtype is int32_t.
+   *
+   * @return Return a pair containing:
+   *  - log_probs: A 3-D tensor of shape (N, T', vocab_size)
+   *  - token_num: A 1-D tensor of shape (N, T') containing number
+   *               of valid tokens in each utterance. Its dtype is int64_t.
+   */
+  std::pair<Ort::Value, Ort::Value> Forward(Ort::Value features,
+                                            Ort::Value features_length);
+
+  /** Return the vocabulary size of the model
+   */
+  int32_t VocabSize() const;
+
+  /** It is lfr_m in config.yaml
+   */
+  int32_t LfrWindowSize() const;
+
+  /** It is lfr_n in config.yaml
+   */
+  int32_t LfrWindowShift() const;
+
+  /** Return negative mean for CMVN
+   */
+  const std::vector<float> &NegativeMean() const;
+
+  /** Return inverse stddev for CMVN
+   */
+  const std::vector<float> &InverseStdDev() const;
+
+  /** Return an allocator for allocating memory
+   */
+  OrtAllocator *Allocator() const;
+
+ private:
+  class Impl;
+  std::unique_ptr<Impl> impl_;
+};
+
+}  // namespace sherpa_onnx
+
+#endif  // SHERPA_ONNX_CSRC_OFFLINE_PARAFORMER_MODEL_H_