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3rdparty/opencv-4.5.4/modules/dnn/src/op_halide.hpp 3.25 KB
f4334277   Hu Chunming   提交3rdparty
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  // This file is part of OpenCV project.
  // It is subject to the license terms in the LICENSE file found in the top-level directory
  // of this distribution and at http://opencv.org/license.html.
  //
  // Copyright (C) 2017, Intel Corporation, all rights reserved.
  // Third party copyrights are property of their respective owners.
  
  #ifndef __OPENCV_DNN_OP_HALIDE_HPP__
  #define __OPENCV_DNN_OP_HALIDE_HPP__
  
  #ifdef HAVE_HALIDE
  #if defined(__GNUC__) && __GNUC__ >= 5
  #pragma GCC diagnostic push
  #pragma GCC diagnostic ignored "-Wsuggest-override"
  #endif
  #include <Halide.h>
  #if defined(__GNUC__) && __GNUC__ >= 5
  #pragma GCC diagnostic pop
  #endif
  #endif  // HAVE_HALIDE
  
  namespace cv
  {
  namespace dnn
  {
  #ifdef HAVE_HALIDE
      // Returns four-dimensional buffer with float32 type that wrap cv::Mat data.
      // No data copy here.
      Halide::Buffer<float> wrapToHalideBuffer(const Mat& mat);
  
      Halide::Buffer<float> wrapToHalideBuffer(const Mat& mat,
                                               const std::vector<int>& shape);
  
      // Extract batch size, number of channels, width and height from buffer.
      void getCanonicalSize(const Halide::Buffer<>& buffer, int* width, int* height,
                            int* channels, int* batch);
  
      // Cast pointer and create copy of Halide buffer. No data copy.
      Halide::Buffer<> halideBuffer(const Ptr<BackendWrapper>& ptr);
  
      std::vector<Halide::Buffer<> > halideBuffers(const std::vector<Ptr<BackendWrapper> >& ptrs);
  
      class HalideBackendNode : public BackendNode
      {
      public:
          HalideBackendNode(const Halide::Func& func);
  
          HalideBackendNode(const std::vector<Halide::Func>& funcs);
  
          // Initialize from the <base> node but replace last function to <top>.
          // It's using in case of layers fusing when we want to keep functions of
          // root layer but replace top by fused one (i.e. conv+padding to relu+padding).
          HalideBackendNode(const Ptr<HalideBackendNode>& base, const Halide::Func& top);
  
          std::vector<Halide::Func> funcs;
      };
  
      class HalideBackendWrapper : public BackendWrapper
      {
      public:
          HalideBackendWrapper(int targetId, const cv::Mat& m);
  
          HalideBackendWrapper(const Ptr<BackendWrapper>& base, const MatShape& shape);
  
          ~HalideBackendWrapper() CV_OVERRIDE;
  
          virtual void copyToHost() CV_OVERRIDE;
  
          virtual void setHostDirty() CV_OVERRIDE;
  
          Halide::Buffer<float> buffer;
  
      private:
          bool managesDevMemory;
      };
  #endif  // HAVE_HALIDE
  
      // Extract batch size, number of channels, width and height from MatSize.
      void getCanonicalSize(const MatSize& size, int* width, int* height,
                            int* channels, int* batch);
  
      void getCanonicalSize(const MatShape& shape, int* width, int* height,
                            int* channels, int* batch);
  
      // Realize Halide pipeline into output blobs.
      void forwardHalide(std::vector<Ptr<BackendWrapper> > &outputs,
                         const Ptr<BackendNode>& node);
  
      // Compile Halide pipeline to specific target. Use outputs to set bounds of functions.
      void compileHalide(const std::vector<Mat> &outputs, Ptr<BackendNode>& node, int targetId);
  
      bool haveHalide();
  }  // namespace dnn
  }  // namespace cv
  
  #endif  // __OPENCV_DNN_OP_HALIDE_HPP__