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69 lines
2.2 KiB
69 lines
2.2 KiB
// Copyright (c) 2020 Mobvoi Inc (Binbin Zhang, Di Wu)
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// 2022 Binbin Zhang (binbzha@qq.com)
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#ifndef DECODER_TORCH_ASR_MODEL_H_
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#define DECODER_TORCH_ASR_MODEL_H_
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#include <memory>
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#include <string>
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#include <vector>
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#include "torch/script.h"
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#ifndef IOS
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#include "torch/torch.h"
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#endif
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#include "decoder/asr_model.h"
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#include "utils/utils.h"
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namespace wenet {
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class TorchAsrModel : public AsrModel {
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public:
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#ifndef IOS
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static void InitEngineThreads(int num_threads = 1);
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#endif
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public:
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using TorchModule = torch::jit::script::Module;
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TorchAsrModel() = default;
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TorchAsrModel(const TorchAsrModel& other);
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void Read(const std::string& model_path);
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std::shared_ptr<TorchModule> torch_model() const { return model_; }
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void Reset() override;
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void AttentionRescoring(const std::vector<std::vector<int>>& hyps,
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float reverse_weight,
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std::vector<float>* rescoring_score) override;
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std::shared_ptr<AsrModel> Copy() const override;
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protected:
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void ForwardEncoderFunc(const std::vector<std::vector<float>>& chunk_feats,
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std::vector<std::vector<float>>* ctc_prob) override;
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float ComputeAttentionScore(const torch::Tensor& prob,
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const std::vector<int>& hyp, int eos);
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private:
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std::shared_ptr<TorchModule> model_ = nullptr;
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std::vector<torch::Tensor> encoder_outs_;
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// transformer/conformer attention cache
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torch::Tensor att_cache_ = torch::zeros({0, 0, 0, 0});
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// conformer-only conv_module cache
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torch::Tensor cnn_cache_ = torch::zeros({0, 0, 0, 0});
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};
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} // namespace wenet
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#endif // DECODER_TORCH_ASR_MODEL_H_
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