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PaddleSpeech/runtime/engine/common/frontend/data_cache.h

62 lines
1.8 KiB

// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#pragma once
#include "base/common.h"
#include "frontend/frontend_itf.h"
using std::vector;
namespace ppspeech {
// Simulates audio/feature input, by returning data from a Vector.
// This class is mostly meant to be used for online decoder testing using
// pre-recorded audio/feature
class DataCache : public FrontendInterface {
public:
DataCache() : finished_{false}, dim_{0} {}
// accept waves/feats
void Accept(const std::vector<kaldi::BaseFloat>& inputs) override {
data_ = std::move(inputs);
}
bool Read(vector<kaldi::BaseFloat>* feats) override {
if (data_.size() == 0) {
return false;
}
(*feats) = std::move(data_);
data_.resize(0);
return true;
}
void SetFinished() override { finished_ = true; }
bool IsFinished() const override { return finished_; }
size_t Dim() const override { return dim_; }
void SetDim(int32 dim) { dim_ = dim; }
void Reset() override {
finished_ = true;
dim_ = 0;
}
private:
std::vector<kaldi::BaseFloat> data_;
bool finished_;
int32 dim_;
DISALLOW_COPY_AND_ASSIGN(DataCache);
};
} // namespace ppspeech