mirror of https://github.com/alibaba/MNN.git
47 lines
1.5 KiB
C++
47 lines
1.5 KiB
C++
//
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// CPUPadding.hpp
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// MNN
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//
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// Created by MNN on 2019/6/24.
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// Copyright © 2018 Alibaba. All rights reserved.
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//
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#ifndef CPUPadding_hpp
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#define CPUPadding_hpp
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#include <stdio.h>
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#include "backend/cpu/CPUBackend.hpp"
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namespace MNN {
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class CPUPaddingPacked : public Execution {
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public:
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CPUPaddingPacked(Backend *bn, PadValueMode mode) : Execution(bn), mMode(mode) {
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// Do nothing
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}
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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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private:
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std::shared_ptr<Tensor> mTempInput;
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std::shared_ptr<Tensor> mTempOutput;
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std::vector<Tensor*> mTempInputs;
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std::vector<Tensor*> mTempOutputs;
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bool mNeedConvert = false;
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PadValueMode mMode;
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Tensor mCache;
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};
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class CPUPadding : public Execution {
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public:
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CPUPadding(Backend *bn, PadValueMode mode) : Execution(bn), mMode(mode) {
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// Do nothing
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}
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static void execute(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs, PadValueMode mode = PadValueMode_CONSTANT);
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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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private:
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Tensor mCache;
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PadValueMode mMode;
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};
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}; // namespace MNN
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#endif /* CPUPadding_hpp */
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