mirror of https://github.com/alibaba/MNN.git
51 lines
1.7 KiB
C++
51 lines
1.7 KiB
C++
//
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// DepthwiseConvSubgroupBufExecution.hpp
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// MNN
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//
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// Created by MNN on 2023/07/01.
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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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#ifdef MNN_SUPPORT_INTEL_SUBGROUP
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#ifndef DepthwiseConvSubgroupBufExecution_hpp
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#define DepthwiseConvSubgroupBufExecution_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 DepthwiseConvSubgroupBufExecution : public ConvBufCommonExecution {
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public:
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DepthwiseConvSubgroupBufExecution(const std::vector<Tensor *> &inputs, const MNN::Op *op, Backend *backend);
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virtual ~DepthwiseConvSubgroupBufExecution();
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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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void transformWeight(const Tensor *weightDest, const Tensor *source);
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const Convolution2DCommon *mConv2dCommonParams;
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const Convolution2D *mCon2dParams;
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std::vector<int> mStrides{1, 1};
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std::vector<int> mPaddings{0, 0};
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std::vector<int> mDilations{1, 1};
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std::shared_ptr<Tensor> mFilter;
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std::shared_ptr<Tensor> mSource;
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cl::Kernel mTranseKernel;
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cl::Kernel mKernel;
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uint32_t mMaxWorkGroupSize;
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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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std::vector<uint32_t> mTranseGlobalWorkSize{1, 1, 1};
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std::vector<uint32_t> mTranseLocalWorkSize{1, 1, 1, 1};
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bool mNeedTranse = false;
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std::set<std::string> mBuildOptions;
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};
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} // namespace OpenCL
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} // namespace MNN
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#endif /* DepthwiseConvSubgroupBufExecution_hpp */
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#endif /* MNN_SUPPORT_INTEL_SUBGROUP */
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#endif /* MNN_OPENCL_BUFFER_CLOSED */
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