86 lines
3.1 KiB
C
86 lines
3.1 KiB
C
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// sherpa-onnx/csrc/offline-whisper-model.h
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//
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// Copyright (c) 2022-2023 Xiaomi Corporation
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#ifndef SHERPA_ONNX_CSRC_OFFLINE_WHISPER_MODEL_H_
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#define SHERPA_ONNX_CSRC_OFFLINE_WHISPER_MODEL_H_
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#include <memory>
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#include <tuple>
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#include <utility>
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#include <vector>
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#include "onnxruntime_cxx_api.h" // NOLINT
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#include "sherpa-onnx/csrc/offline-model-config.h"
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namespace sherpa_onnx {
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class OfflineWhisperModel {
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public:
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explicit OfflineWhisperModel(const OfflineModelConfig &config);
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~OfflineWhisperModel();
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/** Run the encoder model.
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*
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* @param features A tensor of shape (N, C, T). It is changed in-place.
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* C is 80 and T is 3000.
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*
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* @return Return a pair containing:
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* - n_layer_cross_k: A 4-D tensor of shape
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* (n_text_layer, N, n_audio_ctx, n_text_state)
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* - n_layer_cross_v: A 4-D tensor of shape
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* (n_text_layer, N, n_audio_ctx, n_text_state)
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*/
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std::pair<Ort::Value, Ort::Value> ForwardEncoder(Ort::Value features);
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/** Run the decoder model.
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*
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* @param tokens A int64 tensor of shape (N, num_words)
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* @param n_layer_self_k_cache A 4-D tensor of shape
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* (n_text_layer, N, n_text_ctx, n_text_state).
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* @param n_layer_self_v_cache A 4-D tensor of shape
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* (n_text_layer, N, n_text_ctx, n_text_state).
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* @param n_layer_cross_k A 4-D tensor of shape
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* (n_text_layer, N, n_audio_ctx, n_text_state).
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* @param n_layer_cross_v A 4-D tensor of shape
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* (n_text_layer, N, n_audio_ctx, n_text_state).
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* @param offset A int64 tensor of shape (N,)
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*
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* @return Return a tuple containing 6 tensors:
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*
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* - logits A 3-D tensor of shape (N, num_words, vocab_size)
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* - out_n_layer_self_k_cache Same shape as n_layer_self_k_cache
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* - out_n_layer_self_v_cache Same shape as n_layer_self_v_cache
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* - out_n_layer_cross_k Same as n_layer_cross_k
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* - out_n_layer_cross_v Same as n_layer_cross_v
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* - out_offset Same as offset
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*/
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std::tuple<Ort::Value, Ort::Value, Ort::Value, Ort::Value, Ort::Value,
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Ort::Value>
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ForwardDecoder(Ort::Value tokens, Ort::Value n_layer_self_k_cache,
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Ort::Value n_layer_self_v_cache, Ort::Value n_layer_cross_k,
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Ort::Value n_layer_cross_v, Ort::Value offset);
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/** Return the initial self kv cache in a pair
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* - n_layer_self_k_cache A 4-D tensor of shape
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* (n_text_layer, N, n_audio_ctx, n_text_state).
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* - n_layer_self_v_cache A 4-D tensor of shape
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* (n_text_layer, N, n_audio_ctx, n_text_state).
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*/
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std::pair<Ort::Value, Ort::Value> GetInitialSelfKVCache();
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const std::vector<int64_t> &GetInitialTokens() const;
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/** Return an allocator for allocating memory
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*/
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OrtAllocator *Allocator() const;
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int32_t EOT() const;
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int32_t TextCtx() const;
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private:
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class Impl;
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std::unique_ptr<Impl> impl_;
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};
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} // namespace sherpa_onnx
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#endif // SHERPA_ONNX_CSRC_OFFLINE_WHISPER_MODEL_H_
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