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71 lines
2.1 KiB
71 lines
2.1 KiB
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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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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#pragma once
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#include "base/common.h"
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#include "frontend/frontend_itf.h"
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namespace ppspeech {
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class FeatureCache : public FrontendInterface {
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public:
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explicit FeatureCache(
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size_t max_size = kint16max,
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std::unique_ptr<FrontendInterface> base_extractor = NULL);
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// Feed feats or waves
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virtual void Accept(const std::vector<kaldi::BaseFloat>& inputs);
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// feats size = num_frames * feat_dim
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virtual bool Read(std::vector<kaldi::BaseFloat>* feats);
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// feat dim
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virtual size_t Dim() const { return dim_; }
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virtual void SetFinished() {
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std::unique_lock<std::mutex> lock(mutex_);
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LOG(INFO) << "set finished";
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// read the last chunk data
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Compute();
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base_extractor_->SetFinished();
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LOG(INFO) << "compute last feats done.";
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}
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virtual bool IsFinished() const { return base_extractor_->IsFinished(); }
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void Reset() override {
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std::queue<std::vector<BaseFloat>> empty;
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std::swap(cache_, empty);
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nframe_ = 0;
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base_extractor_->Reset();
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VLOG(3) << "feature cache reset: cache size: " << cache_.size();
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}
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private:
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bool Compute();
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int32 dim_;
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size_t max_size_; // cache capacity
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std::unique_ptr<FrontendInterface> base_extractor_;
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std::queue<std::vector<BaseFloat>> cache_; // feature cache
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std::mutex mutex_;
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int32 nframe_; // num of feature computed
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DISALLOW_COPY_AND_ASSIGN(FeatureCache);
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};
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} // namespace ppspeech
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