mirror of https://github.com/alibaba/MNN.git
38 lines
1.3 KiB
C++
38 lines
1.3 KiB
C++
//
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// DepthwiseConvBufExecution.hpp
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// MNN
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//
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// Created by MNN on 2019/01/31.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#ifndef MNN_OPENCL_BUFFER_CLOSED
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#ifndef DepthwiseConvBufExecution_hpp
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#define DepthwiseConvBufExecution_hpp
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#include "ConvBufExecution.hpp"
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namespace MNN {
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namespace OpenCL {
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class DepthwiseConvBufExecution : public ConvBufCommonExecution, public CommonExecution {
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public:
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DepthwiseConvBufExecution(const std::vector<Tensor *> &inputs, const MNN::Op *op, Backend *backend);
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DepthwiseConvBufExecution(std::shared_ptr<ConvBufResource> resource, const MNN::Op* op, Backend* backend);
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virtual ~DepthwiseConvBufExecution();
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virtual ErrorCode onEncode(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) override;
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virtual bool onClone(Backend* bn, const Op* op, Execution** dst) override;
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std::pair<std::vector<uint32_t>, int> DepthwiseConvBufLwsTune(const cl::Kernel &kernel, const std::vector<uint32_t> &gws, const std::string &kernelName, const uint32_t maxWorkGroupSize);
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private:
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std::vector<int> mPaddings{0, 0};
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std::vector<uint32_t> mGlobalWorkSize{1, 1, 1};
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std::vector<uint32_t> mLocalWorkSize{1, 1, 1, 1};
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bool mStride_1 = false;
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};
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} // namespace OpenCL
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} // namespace MNN
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#endif /* DepthwiseConvBufExecution_hpp */
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#endif /* MNN_OPENCL_BUFFER_CLOSED */
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