mirror of https://github.com/alibaba/MNN.git
49 lines
1.5 KiB
C++
49 lines
1.5 KiB
C++
//
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// TRTCommonExecution.hpp
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// MNN
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//
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// Created by MNN on 2019/02/28.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#ifndef TRTCommonExecution_hpp
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#define TRTCommonExecution_hpp
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#include "TRTBackend.hpp"
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#include "core/Execution.hpp"
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#include "schema/current/MNNPlugin_generated.h"
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using namespace std;
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namespace MNN {
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inline static std::shared_ptr<MNNTRTPlugin::PluginT> createPluginWithOutput(const std::vector<Tensor *> &outputs) {
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std::shared_ptr<MNNTRTPlugin::PluginT> plu(new MNNTRTPlugin::PluginT);
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plu->outputs.resize(outputs.size());
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for (int i = 0; i < outputs.size(); ++i) {
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auto shape = outputs[0]->shape();
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plu->outputs[i].reset(new MNNTRTPlugin::ShapeT);
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plu->outputs[i]->dim = shape;
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plu->outputs[i]->bytes = outputs[i]->getType().bytes();
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plu->outputs[i]->type = outputs[i]->getType().code;
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}
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return plu;
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}
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class TRTCommonExecution : public Execution {
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public:
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TRTCommonExecution(Backend *backend, const Op *op);
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virtual ~TRTCommonExecution() = default;
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virtual ErrorCode onResize(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) override;
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virtual ErrorCode onExecute(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) override;
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protected:
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TRTBackend *mTrtBackend;
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const Op *mOp;
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std::vector<Tensor *> mInputs;
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std::vector<Tensor *> mOutputs;
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virtual std::vector<ITensor *> onEncode(const std::vector<ITensor *> &inputs) = 0;
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};
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} // namespace MNN
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#endif /* TRTCommonExecution_hpp */
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